Department of Intelligent Computer Systems - Prof. PhD DSc Eng Rafał Scherer

Bernacki J., Scherer R., Remarks on Speeding up the Digital Camera Identification using Convolutional Neural Networks. (0)

Remarks on Speeding up the Digital Camera Identification using Convolutional Neural Networks

Bernacki J., Scherer R., Remarks on Speeding up the Digital Camera Identification using Convolutional Neural Networks, Vietnam Journal of Computer Science, 10, 10, 537-555, 2023, Cites: 0

Osowski M., Lorenc K., Drozda P., Scherer R., Szalapak K., Komar-Komarowski K., Szymanski J., Sobecki A., Previous Opinions is All You Need—Legal Information Retrieval System. (0)

Previous Opinions is All You Need—Legal Information Retrieval System

Osowski M., Lorenc K., Drozda P., Scherer R., Szalapak K., Komar-Komarowski K., Szymanski J., Sobecki A., Previous Opinions is All You Need—Legal Information Retrieval System, Communications in Computer and Information Science, 1864 CCIS, 1864 CCIS, 57-67, 2023, Cites: 0

Grycuk R., Korytkowski M., Scherer R., Fuzzy-Based Solar Magnetogram Image Retrieval. (0)

Fuzzy-Based Solar Magnetogram Image Retrieval

Grycuk R., Korytkowski M., Scherer R., Fuzzy-Based Solar Magnetogram Image Retrieval, IEEE International Conference on Fuzzy Systems, 2023, Cites: 0

Wei W., Chen K.-C., Rayes A., Scherer R., Guest Editorial Introduction to the Special Issue on Graph-Based Machine Learning for Intelligent Transportation Systems. (1)

Guest Editorial Introduction to the Special Issue on Graph-Based Machine Learning for Intelligent Transportation Systems

Wei W., Chen K.-C., Rayes A., Scherer R., Guest Editorial Introduction to the Special Issue on Graph-Based Machine Learning for Intelligent Transportation Systems, IEEE Transactions on Intelligent Transportation Systems, 24, 24, 8393-8398, 2023, Cites: 1

Korytkowski M., Nowak J., Scherer R., Wei W., Privacy Preserving by Removing Sensitive Data from Documents with Fully Convolutional Networks. (0)

Privacy Preserving by Removing Sensitive Data from Documents with Fully Convolutional Networks

Korytkowski M., Nowak J., Scherer R., Wei W., Privacy Preserving by Removing Sensitive Data from Documents with Fully Convolutional Networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 277-285, 2023, Cites: 0

Wei W., Liu W., Zhang B., Scherer R., Damasevicius R., Discovery of New Words in Tax-related Fields Based on Word Vector Representation. (1)

Discovery of New Words in Tax-related Fields Based on Word Vector Representation

Wei W., Liu W., Zhang B., Scherer R., Damasevicius R., Discovery of New Words in Tax-related Fields Based on Word Vector Representation, Journal of Internet Technology, 24, 24, 923-930, 2023, Cites: 1

Lucas T.J., De Figueiredo I.S., Tojeiro C.A.C., De Almeida A.M.G., Scherer R., Brega J.R.F., Papa J.P., Da Costa K.A.P., A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks. (1)

A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks

Lucas T.J., De Figueiredo I.S., Tojeiro C.A.C., De Almeida A.M.G., Scherer R., Brega J.R.F., Papa J.P., Da Costa K.A.P., A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks, IEEE Access, 11, 11, 122638-122676, 2023, Cites: 1

Nguyen H.-C., Nguyen T.-H., Scherer R., Le V.-H., Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study. (10)

Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study

Nguyen H.-C., Nguyen T.-H., Scherer R., Le V.-H., Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study, Sensors, 23, 23, 2023, Cites: 10

Wei W., Li X., Zhang B., Li L., Damasevicius R., Scherer R., LSTM-SN: complex text classifying with LSTM fusion social network. (6)

LSTM-SN: complex text classifying with LSTM fusion social network

Wei W., Li X., Zhang B., Li L., Damasevicius R., Scherer R., LSTM-SN: complex text classifying with LSTM fusion social network, Journal of Supercomputing, 79, 79, 9558-9583, 2023, Cites: 6

Grycuk R., Najgebauer P., Scherer R., Edge Detection-Based Full-Disc Solar Image Hashing. (0)

Edge Detection-Based Full-Disc Solar Image Hashing

Grycuk R., Najgebauer P., Scherer R., Edge Detection-Based Full-Disc Solar Image Hashing, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 243-251, 2023, Cites: 0

Chen G., Zou W., Jing W., Wei W., Scherer R., Improving the Efficiency of the EMS-Based Smart City: A Novel Distributed Framework for Spatial Data. (5)

Improving the Efficiency of the EMS-Based Smart City: A Novel Distributed Framework for Spatial Data

Chen G., Zou W., Jing W., Wei W., Scherer R., Improving the Efficiency of the EMS-Based Smart City: A Novel Distributed Framework for Spatial Data, IEEE Transactions on Industrial Informatics, 19, 19, 594-604, 2023, Cites: 5

Korytkowski M., Nowak J., Scherer R., Zbieg A., Zak B., Relikowska G., Mader P., Employee Turnover Prediction From Email Communication Analysis. (0)

Employee Turnover Prediction From Email Communication Analysis

Korytkowski M., Nowak J., Scherer R., Zbieg A., Zak B., Relikowska G., Mader P., Employee Turnover Prediction From Email Communication Analysis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 252-263, 2023, Cites: 0

Bernacki J., Scherer R., IMAGINE Dataset: Digital Camera Identification Image BenchmarkinDataset. (2)

IMAGINE Dataset: Digital Camera Identification Image BenchmarkinDataset

Bernacki J., Scherer R., IMAGINE Dataset: Digital Camera Identification Image BenchmarkinDataset, Proceedings of the International Conference on Security and Cryptography, 1, 1, 799-804, 2023, Cites: 2

Najgebauer P., Scherer R., Grycuk R., Walczak J., Wojciechowski A., Lada-Tondyra E., Fast Visual Imperfection Detection when Real Negative Examples are Unavailable. (0)

Fast Visual Imperfection Detection when Real Negative Examples are Unavailable

Najgebauer P., Scherer R., Grycuk R., Walczak J., Wojciechowski A., Lada-Tondyra E., Fast Visual Imperfection Detection when Real Negative Examples are Unavailable, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14126 LNAI, 14126 LNAI, 58-68, 2023, Cites: 0

Jing W., Kuang Z., Scherer R., Wozniak M., Editorial: Big data and artificial intelligence technologies for smart forestry. (0)

Editorial: Big data and artificial intelligence technologies for smart forestry

Jing W., Kuang Z., Scherer R., Wozniak M., Editorial: Big data and artificial intelligence technologies for smart forestry, Frontiers in Plant Science, 14, 14, 2023, Cites: 0

Walczak J., Najgebauer P., Wojciechowski A., Scherer R., Ultrasmall fully-convolution GVA-net for point cloud processing[Formula presented]. (0)

Ultrasmall fully-convolution GVA-net for point cloud processing[Formula presented]

Walczak J., Najgebauer P., Wojciechowski A., Scherer R., Ultrasmall fully-convolution GVA-net for point cloud processing[Formula presented], Applied Soft Computing, 132, 132, 2023, Cites: 0

Korytkowski M., Nowak J., Scherer R., Detecting Sensitive Data with GANs and Fully Convolutional Networks. (0)

Detecting Sensitive Data with GANs and Fully Convolutional Networks

Korytkowski M., Nowak J., Scherer R., Detecting Sensitive Data with GANs and Fully Convolutional Networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13995 LNAI, 13995 LNAI, 273-283, 2023, Cites: 0

Nguyen H.-C., Nguyen T.-H., Scherer R., Le V.-H., YOLO Series for Human Hand Action Detection and Classification from Egocentric Videos. (7)

YOLO Series for Human Hand Action Detection and Classification from Egocentric Videos

Nguyen H.-C., Nguyen T.-H., Scherer R., Le V.-H., YOLO Series for Human Hand Action Detection and Classification from Egocentric Videos, Sensors (Basel, Switzerland), 23, 23, 2023, Cites: 7

Lucas T.J., Da Costa K.A.P., Scherer R., Papa J.P., An Ensemble Pruning Approach to Optimize Intrusion Detection Systems Performance. (2)

An Ensemble Pruning Approach to Optimize Intrusion Detection Systems Performance

Lucas T.J., Da Costa K.A.P., Scherer R., Papa J.P., An Ensemble Pruning Approach to Optimize Intrusion Detection Systems Performance, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2022-October, 2022-October, 1173-1179, 2022, Cites: 2

Ma R., Angryk R., Scherer R., Special issue on deep learning for time series data. (1)

Special issue on deep learning for time series data

Ma R., Angryk R., Scherer R., Special issue on deep learning for time series data, Neural Computing and Applications, 34, 34, 13147-13148, 2022, Cites: 1

Hazra S., Pisipati M., Puhan A., Nandy A., Scherer R., Two Novel Methods for Multiple Kinect v2 Sensor Calibration. (0)

Two Novel Methods for Multiple Kinect v2 Sensor Calibration

Hazra S., Pisipati M., Puhan A., Nandy A., Scherer R., Two Novel Methods for Multiple Kinect v2 Sensor Calibration, Communications in Computer and Information Science, 1568 CCIS, 1568 CCIS, 403-414, 2022, Cites: 0

Utimura L., Costa K., Scherer R., Real-time application of OPF-based classifier in Snort IDS. (0)

Real-time application of OPF-based classifier in Snort IDS

Utimura L., Costa K., Scherer R., Real-time application of OPF-based classifier in Snort IDS, Optimum-Path Forest: Theory, Algorithms, and Applications, 55-93, 2022, Cites: 0

Kordos M., Kulka R., Steblik T., Scherer R., Local Search in Selected Crossover Operators. (0)

Local Search in Selected Crossover Operators

Kordos M., Kulka R., Steblik T., Scherer R., Local Search in Selected Crossover Operators, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13352 LNCS, 13352 LNCS, 369-382, 2022, Cites: 0

Bernacki J., Scherer R., Digital forensics: a fast algorithm for a digital sensor identification. (1)

Digital forensics: a fast algorithm for a digital sensor identification

Bernacki J., Scherer R., Digital forensics: a fast algorithm for a digital sensor identification, Journal of Information and Telecommunication, 6, 6, 399-419, 2022, Cites: 1

Sun Z., Zhao G., Scherer R., Wei W., Wozniak M., Overview of Capsule Neural Networks. (9)

Overview of Capsule Neural Networks

Sun Z., Zhao G., Scherer R., Wei W., Wozniak M., Overview of Capsule Neural Networks, Journal of Internet Technology, 23, 23, 33-44, 2022, Cites: 9

Junior P.R.G.H., Scherer R., Januario L.B., Rodrigues D., Papa J.P., Costa K.A.P., From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks. (0)

From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks

Junior P.R.G.H., Scherer R., Januario L.B., Rodrigues D., Papa J.P., Costa K.A.P., From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks, International Conference on Systems, Signals, and Image Processing, 2022-June, 2022-June, 2022, Cites: 0

Hou Y., Zheng X., Han C., Wei W., Scherer R., Polap D., Deep Learning Methods in Short-Term Traffic Prediction: A Survey. (8)

Deep Learning Methods in Short-Term Traffic Prediction: A Survey

Hou Y., Zheng X., Han C., Wei W., Scherer R., Polap D., Deep Learning Methods in Short-Term Traffic Prediction: A Survey, Information Technology and Control, 51, 51, 139-157, 2022, Cites: 8

Kordos M., Blachnik M., Scherer R., Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems. (24)

Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems

Kordos M., Blachnik M., Scherer R., Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems, Information Sciences, 587, 587, 23-40, 2022, Cites: 24

Zhou Y., Jing W., Wang J., Chen G., Scherer R., Damasevicius R., MSAR-DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution. (11)

MSAR-DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution

Zhou Y., Jing W., Wang J., Chen G., Scherer R., Damasevicius R., MSAR-DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution, IET Image Processing, 16, 16, 659-668, 2022, Cites: 11

Nguyen H.-C., Nguyen T.-H., Scherer R., Le V.-H., Unified End-to-End YOLOv5-HR-TCM Framework for Automatic 2D/3D Human Pose Estimation for Real-Time Applications. (15)

Unified End-to-End YOLOv5-HR-TCM Framework for Automatic 2D/3D Human Pose Estimation for Real-Time Applications

Nguyen H.-C., Nguyen T.-H., Scherer R., Le V.-H., Unified End-to-End YOLOv5-HR-TCM Framework for Automatic 2D/3D Human Pose Estimation for Real-Time Applications, Sensors, 22, 22, 2022, Cites: 15

Song Y., Wang L., Xiao L., Wei W., Scherer R., Qin G., Wang J., Hypergraph-partitioning-based online joint scheduling of tasks and data. (0)

Hypergraph-partitioning-based online joint scheduling of tasks and data

Song Y., Wang L., Xiao L., Wei W., Scherer R., Qin G., Wang J., Hypergraph-partitioning-based online joint scheduling of tasks and data, Journal of Supercomputing, 78, 78, 16088-16117, 2022, Cites: 0

Bernacki J., Costa K.A.P., Scherer R., Individual Source Camera Identification with Convolutional Neural Networks. (2)

Individual Source Camera Identification with Convolutional Neural Networks

Bernacki J., Costa K.A.P., Scherer R., Individual Source Camera Identification with Convolutional Neural Networks, Communications in Computer and Information Science, 1716 CCIS, 1716 CCIS, 45-55, 2022, Cites: 2

Grycuk R., Galkowski T., Scherer R., Rutkowski L., A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder. (4)

A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder

Grycuk R., Galkowski T., Scherer R., Rutkowski L., A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder, Proceedings of the International Joint Conference on Neural Networks, 2022-July, 2022-July, 2022, Cites: 4

Grycuk R., Korytkowski M., Scherer R., Drozda P., Wei W., Kordos M., Fast Solar Image Retrieval and Classification by Fuzzy Rules. (0)

Fast Solar Image Retrieval and Classification by Fuzzy Rules

Grycuk R., Korytkowski M., Scherer R., Drozda P., Wei W., Kordos M., Fast Solar Image Retrieval and Classification by Fuzzy Rules, IEEE International Conference on Fuzzy Systems, 2022-July, 2022-July, 2022, Cites: 0

Grycuk R., Scherer R., Marchlewska A., Napoli C., Semantic Hashing for Fast Solar Magnetogram Retrieval. (5)

Semantic Hashing for Fast Solar Magnetogram Retrieval

Grycuk R., Scherer R., Marchlewska A., Napoli C., Semantic Hashing for Fast Solar Magnetogram Retrieval, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 299-306, 2022, Cites: 5

Grycuk R., Scherer R., Solar Image Hashing by Intermediate Descriptor and Autoencoder. (1)

Solar Image Hashing by Intermediate Descriptor and Autoencoder

Grycuk R., Scherer R., Solar Image Hashing by Intermediate Descriptor and Autoencoder, Proceedings of the International Joint Conference on Neural Networks, 2021-July, 2021-July, 2021, Cites: 1

Grycuk R., Scherer R., Grid-Based Concise Hash for Solar Images. (2)

Grid-Based Concise Hash for Solar Images

Grycuk R., Scherer R., Grid-Based Concise Hash for Solar Images, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12744 LNCS, 12744 LNCS, 242-254, 2021, Cites: 2

Bernacki J., Scherer R., Fast Imaging Sensor Identification. (0)

Fast Imaging Sensor Identification

Bernacki J., Scherer R., Fast Imaging Sensor Identification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12876 LNAI, 12876 LNAI, 572-584, 2021, Cites: 0

Bian J., Wang L., Scherer R., Wozniak M., Zhang P., Wei W., Abnormal Detection of Electricity Consumption of User Based on Particle Swarm Optimization and Long Short Term Memory with the Attention Mechanism. (29)

Abnormal Detection of Electricity Consumption of User Based on Particle Swarm Optimization and Long Short Term Memory with the Attention Mechanism

Bian J., Wang L., Scherer R., Wozniak M., Zhang P., Wei W., Abnormal Detection of Electricity Consumption of User Based on Particle Swarm Optimization and Long Short Term Memory with the Attention Mechanism, IEEE Access, 9, 9, 47252-47265, 2021, Cites: 29

Wei W., Ke Q., Gao F., Scherer R., Fan S., Sufficient conditions analysis of coverage algorithm constructed positive definite tridiagonal matrices in WSNs. (0)

Sufficient conditions analysis of coverage algorithm constructed positive definite tridiagonal matrices in WSNs

Wei W., Ke Q., Gao F., Scherer R., Fan S., Sufficient conditions analysis of coverage algorithm constructed positive definite tridiagonal matrices in WSNs, Journal of Internet Technology, 22, 22, 735-741, 2021, Cites: 0

Ding X., Wei W., Zhang B., Scherer R., Damasevicius R., Apple Packaging Redesign in LuochuanBased on the Concept of Sustainable Packaging. (1)

Apple Packaging Redesign in LuochuanBased on the Concept of Sustainable Packaging

Ding X., Wei W., Zhang B., Scherer R., Damasevicius R., Apple Packaging Redesign in LuochuanBased on the Concept of Sustainable Packaging, 2021 IEEE International Conference on Artificial Intelligence and Industrial Design, AIID 2021, 614-627, 2021, Cites: 1

Wei W., Liang H., Zhang B., Damasevicius R., Scherer R., Design and Implementation of Regional Food Distribution Platform Based on Big Data. (2)

Design and Implementation of Regional Food Distribution Platform Based on Big Data

Wei W., Liang H., Zhang B., Damasevicius R., Scherer R., Design and Implementation of Regional Food Distribution Platform Based on Big Data, 2021 IEEE International Conference on Artificial Intelligence and Industrial Design, AIID 2021, 496-501, 2021, Cites: 2

Walczak J., Wojciechowski A., Najgebauer P., Scherer R., Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification. (2)

Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification

Walczak J., Wojciechowski A., Najgebauer P., Scherer R., Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12744 LNCS, 12744 LNCS, 229-241, 2021, Cites: 2

Kulikajevas A., Maskeliunas R., Damasevicius R., Scherer R., Humannet-a two-tiered deep neural network architecture for self-occluding humanoid pose reconstruction. (11)

Humannet-a two-tiered deep neural network architecture for self-occluding humanoid pose reconstruction

Kulikajevas A., Maskeliunas R., Damasevicius R., Scherer R., Humannet-a two-tiered deep neural network architecture for self-occluding humanoid pose reconstruction, Sensors, 21, 21, 2021, Cites: 11

Sun Z., Zhao G., Wozniak M., Scherer R., Damasevicius R., Bankline detection of GF-3 SAR images based on shearlet. (5)

Bankline detection of GF-3 SAR images based on shearlet

Sun Z., Zhao G., Wozniak M., Scherer R., Damasevicius R., Bankline detection of GF-3 SAR images based on shearlet, PeerJ Computer Science, 7, 7, 2021, Cites: 5

Wei W., Hui M., Zhang B., Scherer R., Damasevicius R., Research on Decision Tree Based on Rough Set. (4)

Research on Decision Tree Based on Rough Set

Wei W., Hui M., Zhang B., Scherer R., Damasevicius R., Research on Decision Tree Based on Rough Set, Journal of Internet Technology, 22, 22, 1385-1394, 2021, Cites: 4

Wei W., Gao F., Scherer R., Damasevicius R., Polap D., Design and implementation of autonomous path planning for intelligent vehicle. (6)

Design and implementation of autonomous path planning for intelligent vehicle

Wei W., Gao F., Scherer R., Damasevicius R., Polap D., Design and implementation of autonomous path planning for intelligent vehicle, Journal of Internet Technology, 22, 22, 957-965, 2021, Cites: 6

Le V.-H., Scherer R., Human segmentation and tracking survey on masks for mads dataset. (4)

Human segmentation and tracking survey on masks for mads dataset

Le V.-H., Scherer R., Human segmentation and tracking survey on masks for mads dataset, Sensors, 21, 21, 2021, Cites: 4

Wei W., Wang L., Li X., Zhang B., Scherer R., Design and implementation of public opinion monitoring system based on cloud platform. (3)

Design and implementation of public opinion monitoring system based on cloud platform

Wei W., Wang L., Li X., Zhang B., Scherer R., Design and implementation of public opinion monitoring system based on cloud platform, Journal of Internet Technology, 22, 22, 569-581, 2021, Cites: 3

Li M., Jiang Z., Liu Y., Chen S., Wozniak M., Scherer R., Damasevicius R., Wei W., Li Z., Li Z., Sitsen: Passive sitting posture sensing based on wireless devices. (13)

Sitsen: Passive sitting posture sensing based on wireless devices

Li M., Jiang Z., Liu Y., Chen S., Wozniak M., Scherer R., Damasevicius R., Wei W., Li Z., Li Z., Sitsen: Passive sitting posture sensing based on wireless devices, International Journal of Distributed Sensor Networks, 17, 17, 2021, Cites: 13

Wang T., Zhang B., Wei W., Damasevicius R., Scherer R., Traffic flow prediction based on BP neural network. (5)

Traffic flow prediction based on BP neural network

Wang T., Zhang B., Wei W., Damasevicius R., Scherer R., Traffic flow prediction based on BP neural network, 2021 IEEE International Conference on Artificial Intelligence and Industrial Design, AIID 2021, 15-19, 2021, Cites: 5

Sun Z., Geng H., Lu Z., Scherer R., Wozniak M., Review of road segmentation for sar images. (18)

Review of road segmentation for sar images

Sun Z., Geng H., Lu Z., Scherer R., Wozniak M., Review of road segmentation for sar images, Remote Sensing, 13, 13, 1-15, 2021, Cites: 18

Tao T., Yang J., Wei W., Wozniak M., Scherer R., Damasevicius R., Design of a MEMS sensor array for dam subsidence monitoring based on dual-sensor cooperative measurements. (2)

Design of a MEMS sensor array for dam subsidence monitoring based on dual-sensor cooperative measurements

Tao T., Yang J., Wei W., Wozniak M., Scherer R., Damasevicius R., Design of a MEMS sensor array for dam subsidence monitoring based on dual-sensor cooperative measurements, KSII Transactions on Internet and Information Systems, 15, 15, 3554-3570, 2021, Cites: 2

Shi H., Wang L., Scherer R., Wozniak M., Zhang P., Wei W., Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network. (38)

Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network

Shi H., Wang L., Scherer R., Wozniak M., Zhang P., Wei W., Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network, IEEE Access, 9, 9, 66965-66981, 2021, Cites: 38

Wei W., Sun Z.-G., Zhang Z.-H., Scherer R., Damasevicius R., Improved fisher MAP filter for despeckling of high-resolution SAR images based on structural information detection. (6)

Improved fisher MAP filter for despeckling of high-resolution SAR images based on structural information detection

Wei W., Sun Z.-G., Zhang Z.-H., Scherer R., Damasevicius R., Improved fisher MAP filter for despeckling of high-resolution SAR images based on structural information detection, Journal of Internet Technology, 22, 22, 413-421, 2021, Cites: 6

Wei W., Gao F., Zhang B., Scherer R., Hui M., Damasevicius R., Design and implementation of forward modeling algorithm for anisotropic seismic waves. (0)

Design and implementation of forward modeling algorithm for anisotropic seismic waves

Wei W., Gao F., Zhang B., Scherer R., Hui M., Damasevicius R., Design and implementation of forward modeling algorithm for anisotropic seismic waves, Proceedings - 2020 International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2020, 341-350, 2020, Cites: 0

Grycuk R., Scherer R., Novel Fast Binary Hash for Content-based Solar Image Retrieval. (1)

Novel Fast Binary Hash for Content-based Solar Image Retrieval

Grycuk R., Scherer R., Novel Fast Binary Hash for Content-based Solar Image Retrieval, Proceedings of the International Joint Conference on Neural Networks, 2020, Cites: 1

Hazra S., Roy P., Nandy A., Scherer R., A Pilot Study for Investigating Gait Signatures in Multi-Scenario Applications. (3)

A Pilot Study for Investigating Gait Signatures in Multi-Scenario Applications

Hazra S., Roy P., Nandy A., Scherer R., A Pilot Study for Investigating Gait Signatures in Multi-Scenario Applications, Proceedings of the International Joint Conference on Neural Networks, 2020, Cites: 3

Wei W., Hui M., Zhang B., Scherer R., Gao F., Damasevicius R., Research on variable scale algorithm. (0)

Research on variable scale algorithm

Wei W., Hui M., Zhang B., Scherer R., Gao F., Damasevicius R., Research on variable scale algorithm, Proceedings - 2020 International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2020, 316-322, 2020, Cites: 0

Grycuk R., Costa K., Scherer R., Active Region-Based Full-Disc Solar Image Hashing. (0)

Active Region-Based Full-Disc Solar Image Hashing

Grycuk R., Costa K., Scherer R., Active Region-Based Full-Disc Solar Image Hashing, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 19-30, 2020, Cites: 0

Walczak J., Andrzejczak G., Scherer R., Wojciechowski A., Normal grouping density separation (ngds): A novel object-driven indoor point cloud partition method. (1)

Normal grouping density separation (ngds): A novel object-driven indoor point cloud partition method

Walczak J., Andrzejczak G., Scherer R., Wojciechowski A., Normal grouping density separation (ngds): A novel object-driven indoor point cloud partition method, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12142 LNCS, 12142 LNCS, 100-114, 2020, Cites: 1

Najgebauer P., Scherer R., Rutkowski L., Fully Convolutional Network for Removing DCT Artefacts from Images. (5)

Fully Convolutional Network for Removing DCT Artefacts from Images

Najgebauer P., Scherer R., Rutkowski L., Fully Convolutional Network for Removing DCT Artefacts from Images, Proceedings of the International Joint Conference on Neural Networks, 2020, Cites: 5

Scherer R., Image indexing techniques. (0)

Image indexing techniques

Scherer R., Image indexing techniques, Studies in Computational Intelligence, 821, 821, 33-82, 2020, Cites: 0

Nowak J., Korytkowski M., Scherer R., Discovering Sequential Patterns by Neural Networks. (2)

Discovering Sequential Patterns by Neural Networks

Nowak J., Korytkowski M., Scherer R., Discovering Sequential Patterns by Neural Networks, Proceedings of the International Joint Conference on Neural Networks, 2020, Cites: 2

Nasir I.M., Khan M.A., Yasmin M., Shah J.H., Gabryel M., Scherer R., Damasevicius R., Pearson correlation-based feature selection for document classification using balanced training. (78)

Pearson correlation-based feature selection for document classification using balanced training

Nasir I.M., Khan M.A., Yasmin M., Shah J.H., Gabryel M., Scherer R., Damasevicius R., Pearson correlation-based feature selection for document classification using balanced training, Sensors (Switzerland), 20, 20, 1-18, 2020, Cites: 78

Talun A., Drozda P., Bukowski L., Scherer R., FastText and XGBoost Content-Based Classification for Employment Web Scraping. (2)

FastText and XGBoost Content-Based Classification for Employment Web Scraping

Talun A., Drozda P., Bukowski L., Scherer R., FastText and XGBoost Content-Based Classification for Employment Web Scraping, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 435-444, 2020, Cites: 2

Polap D., Wozniak M., Korytkowski M., Scherer R., Encoder-Decoder Based CNN Structure for Microscopic Image Identification. (8)

Encoder-Decoder Based CNN Structure for Microscopic Image Identification

Polap D., Wozniak M., Korytkowski M., Scherer R., Encoder-Decoder Based CNN Structure for Microscopic Image Identification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12532 LNCS, 12532 LNCS, 301-312, 2020, Cites: 8

Khan M.A., Ashraf I., Alhaisoni M., Damasevicius R., Scherer R., Rehman A., Bukhari S.A.C., Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists. (286)

Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists

Khan M.A., Ashraf I., Alhaisoni M., Damasevicius R., Scherer R., Rehman A., Bukhari S.A.C., Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists, Diagnostics, 10, 10, 2020, Cites: 286

Scherer R., Feature detection. (1)

Feature detection

Scherer R., Feature detection, Studies in Computational Intelligence, 821, 821, 7-32, 2020, Cites: 1

Ke Q., Zeng-Guo S., Liu Y., Wei W., Wozniak M., Scherer R., High-resolution SAR image despeckling based on nonlocal means filter and modified AA model. (8)

High-resolution SAR image despeckling based on nonlocal means filter and modified AA model

Ke Q., Zeng-Guo S., Liu Y., Wei W., Wozniak M., Scherer R., High-resolution SAR image despeckling based on nonlocal means filter and modified AA model, Security and Communication Networks, 2020, 2020, 2020, Cites: 8

Wei W., Ke Q., Nowak J., Korytkowski M., Scherer R., Wozniak M., Accurate and fast URL phishing detector: A convolutional neural network approach. (134)

Accurate and fast URL phishing detector: A convolutional neural network approach

Wei W., Ke Q., Nowak J., Korytkowski M., Scherer R., Wozniak M., Accurate and fast URL phishing detector: A convolutional neural network approach, Computer Networks, 178, 178, 2020, Cites: 134

Lv Y., Liu Y., Jing W., Wozniak M., Damasevicius R., Scherer R., Wei W., Quality control of the continuous hot pressing process of medium density fiberboard using fuzzy failure mode and effects analysis. (22)

Quality control of the continuous hot pressing process of medium density fiberboard using fuzzy failure mode and effects analysis

Lv Y., Liu Y., Jing W., Wozniak M., Damasevicius R., Scherer R., Wei W., Quality control of the continuous hot pressing process of medium density fiberboard using fuzzy failure mode and effects analysis, Applied Sciences (Switzerland), 10, 10, 2020, Cites: 22

Das A., Saha I., Scherer R., Ghomr: Multi-receptive lightweight residual modules for hyperspectral classification. (5)

Ghomr: Multi-receptive lightweight residual modules for hyperspectral classification

Das A., Saha I., Scherer R., Ghomr: Multi-receptive lightweight residual modules for hyperspectral classification, Sensors (Switzerland), 20, 20, 1-19, 2020, Cites: 5

Scherer R., Novel methods for image description. (0)

Novel methods for image description

Scherer R., Novel methods for image description, Studies in Computational Intelligence, 821, 821, 83-105, 2020, Cites: 0

Scherer R., Preface. (0)

Preface

Scherer R., Preface, Studies in Computational Intelligence, 821, 821, v, 2020, Cites: 0

Dong L., Fang D., Wang X., Wei W., Damasevicius R., Scherer R., Wozniak M., Prediction of streamflow based on dynamic sliding window lstm. (28)

Prediction of streamflow based on dynamic sliding window lstm

Dong L., Fang D., Wang X., Wei W., Damasevicius R., Scherer R., Wozniak M., Prediction of streamflow based on dynamic sliding window lstm, Water (Switzerland), 12, 12, 1-11, 2020, Cites: 28

Wei W., Wang B., Zhang B., Scherer R., Damasevicius R., Online job search and recruitment platform for college students based on SSH. (1)

Online job search and recruitment platform for college students based on SSH

Wei W., Wang B., Zhang B., Scherer R., Damasevicius R., Online job search and recruitment platform for college students based on SSH, Proceedings - 2020 International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2020, 355-358, 2020, Cites: 1

Wei W., Li X., Zhang B., Liu X., Scherer R., Damasevicius R., Educational management system. (1)

Educational management system

Wei W., Li X., Zhang B., Liu X., Scherer R., Damasevicius R., Educational management system, Proceedings - 2020 International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2020, 53-56, 2020, Cites: 1

Scherer R., Image retrieval and classification in relational databases. (1)

Image retrieval and classification in relational databases

Scherer R., Image retrieval and classification in relational databases, Studies in Computational Intelligence, 821, 821, 107-136, 2020, Cites: 1

Wei W., Wang Z., Fu C., Damasevicius R., Scherer R., Wozniak M., Intelligent recommendation of related items based on naive bayes and collaborative filtering combination model. (6)

Intelligent recommendation of related items based on naive bayes and collaborative filtering combination model

Wei W., Wang Z., Fu C., Damasevicius R., Scherer R., Wozniak M., Intelligent recommendation of related items based on naive bayes and collaborative filtering combination model, Journal of Physics: Conference Series, 1682, 1682, 2020, Cites: 6

Korytkowski M., Scherer R., Szajerman D., Polap D., Wozniak M., Efficient visual classification by fuzzy rules. (6)

Efficient visual classification by fuzzy rules

Korytkowski M., Scherer R., Szajerman D., Polap D., Wozniak M., Efficient visual classification by fuzzy rules, IEEE International Conference on Fuzzy Systems, 2020-July, 2020-July, 2020, Cites: 6

Scherer R., Introduction. (0)

Introduction

Scherer R., Introduction, Studies in Computational Intelligence, 821, 821, 1-5, 2020, Cites: 0

Scherer R., Concluding remarks and perspectives in computer vision. (0)

Concluding remarks and perspectives in computer vision

Scherer R., Concluding remarks and perspectives in computer vision, Studies in Computational Intelligence, 821, 821, 137, 2020, Cites: 0

Nowak J., Holotyak T., Korytkowski M., Scherer R., Voloshynovskiy S., Fingerprinting of url logs: Continuous user authentication from behavioural patterns. (4)

Fingerprinting of url logs: Continuous user authentication from behavioural patterns

Nowak J., Holotyak T., Korytkowski M., Scherer R., Voloshynovskiy S., Fingerprinting of url logs: Continuous user authentication from behavioural patterns, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12140 LNCS, 12140 LNCS, 184-195, 2020, Cites: 4

Najgebauer P., Grycuk R., Rutkowski L., Scherer R., Siwocha A., Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection. (4)

Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection

Najgebauer P., Grycuk R., Rutkowski L., Scherer R., Siwocha A., Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 164-171, 2019, Cites: 4

Najgebauer P., Scherer R., Inertia-based Fast Vectorization of Line Drawings. (14)

Inertia-based Fast Vectorization of Line Drawings

Najgebauer P., Scherer R., Inertia-based Fast Vectorization of Line Drawings, Computer Graphics Forum, 38, 38, 203-213, 2019, Cites: 14

Dirvanauskas D., Maskeliunas R., Raudonis V., Damasevicius R., Scherer R., HEMIGEN: Human embryo image generator based on generative adversarial networks. (38)

HEMIGEN: Human embryo image generator based on generative adversarial networks

Dirvanauskas D., Maskeliunas R., Raudonis V., Damasevicius R., Scherer R., HEMIGEN: Human embryo image generator based on generative adversarial networks, Sensors (Switzerland), 19, 19, 2019, Cites: 38

Lagiewka M., Korytkowski M., Scherer R., Distributed image retrieval with colour and keypoint features. (4)

Distributed image retrieval with colour and keypoint features

Lagiewka M., Korytkowski M., Scherer R., Distributed image retrieval with colour and keypoint features, Journal of Information and Telecommunication, 3, 3, 430-445, 2019, Cites: 4

Grycuk R., Najgebauer P., Nowicki R., Scherer R., Multilayer architecture for content-based image retrieval systems. (1)

Multilayer architecture for content-based image retrieval systems

Grycuk R., Najgebauer P., Nowicki R., Scherer R., Multilayer architecture for content-based image retrieval systems, Proceedings - 2019 IEEE 12th Conference on Service-Oriented Computing and Applications, SOCA 2019, 119-126, 2019, Cites: 1

Nowak J., Korytkowski M., Scherer R., Convolutional Recurrent Neural Networks for Computer Network Analysis. (1)

Convolutional Recurrent Neural Networks for Computer Network Analysis

Nowak J., Korytkowski M., Scherer R., Convolutional Recurrent Neural Networks for Computer Network Analysis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11730 LNCS, 11730 LNCS, 747-757, 2019, Cites: 1

Grycuk R., Scherer R., Software framework for fast image retrieval. (2)

Software framework for fast image retrieval

Grycuk R., Scherer R., Software framework for fast image retrieval, 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019, 588-593, 2019, Cites: 2

Najgebauer P., Grycuk R., Scherer R., Fast Two-Level Image Indexing Based on Local Interest Points. (2)

Fast Two-Level Image Indexing Based on Local Interest Points

Najgebauer P., Grycuk R., Scherer R., Fast Two-Level Image Indexing Based on Local Interest Points, 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018, 613-617, 2018, Cites: 2

Nowicki R.K., Korytkowski M., Scherer R., Rough neural network ensemble for interval data classification. (3)

Rough neural network ensemble for interval data classification

Nowicki R.K., Korytkowski M., Scherer R., Rough neural network ensemble for interval data classification, IEEE International Conference on Fuzzy Systems, 2018-July, 2018-July, 2018, Cites: 3

Grycuk R., Najgebauer P., Scherer R., Siwocha A., Architecture of database index for content-based image retrieval systems. (1)

Architecture of database index for content-based image retrieval systems

Grycuk R., Najgebauer P., Scherer R., Siwocha A., Architecture of database index for content-based image retrieval systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 36-47, 2018, Cites: 1

Nowak J., Korytkowski M., Nowicki R., Scherer R., Siwocha A., Random forests for profiling computer network users. (11)

Random forests for profiling computer network users

Nowak J., Korytkowski M., Nowicki R., Scherer R., Siwocha A., Random forests for profiling computer network users, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 734-739, 2018, Cites: 11

Nowak J., Korytkowski M., Scherer R., Classification of computer network users with convolutional neural networks. (3)

Classification of computer network users with convolutional neural networks

Nowak J., Korytkowski M., Scherer R., Classification of computer network users with convolutional neural networks, Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018, 501-504, 2018, Cites: 3

Lagiewka M., Korytkowski M., Scherer R., Distributed image retrieval with color and keypoint features. (3)

Distributed image retrieval with color and keypoint features

Lagiewka M., Korytkowski M., Scherer R., Distributed image retrieval with color and keypoint features, Proceedings - 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2017, 45-50, 2017, Cites: 3

Nowak J., Taspinar A., Scherer R., LSTM recurrent neural networks for short text and sentiment classification. (120)

LSTM recurrent neural networks for short text and sentiment classification

Nowak J., Taspinar A., Scherer R., LSTM recurrent neural networks for short text and sentiment classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 553-562, 2017, Cites: 120

Najgebauer P., Rutkowski L., Scherer R., Novel method for joining missing line fragments for medical image analysis. (3)

Novel method for joining missing line fragments for medical image analysis

Najgebauer P., Rutkowski L., Scherer R., Novel method for joining missing line fragments for medical image analysis, 2017 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017, 861-866, 2017, Cites: 3

Najgebauer P., Rutkowski L., Scherer R., Interest point localization based on edge detection according to gestalt laws. (2)

Interest point localization based on edge detection according to gestalt laws

Najgebauer P., Rutkowski L., Scherer R., Interest point localization based on edge detection according to gestalt laws, 2017 2nd IEEE International Conference on Computational Intelligence and Applications, ICCIA 2017, 2017-January, 2017-January, 349-353, 2017, Cites: 2

Zebik M., Korytkowski M., Angryk R., Scherer R., Convolutional neural networks for time series classification. (6)

Convolutional neural networks for time series classification

Zebik M., Korytkowski M., Angryk R., Scherer R., Convolutional neural networks for time series classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 635-642, 2017, Cites: 6

Grycuk R., Gabryel M., Nowicki R., Scherer R., Content-based image retrieval optimization by differential evolution. (17)

Content-based image retrieval optimization by differential evolution

Grycuk R., Gabryel M., Nowicki R., Scherer R., Content-based image retrieval optimization by differential evolution, 2016 IEEE Congress on Evolutionary Computation, CEC 2016, 86-93, 2016, Cites: 17

Najgebauer P., Korytkowski M., Barranco C.D., Scherer R., Novel image descriptor based on color spatial distribution. (2)

Novel image descriptor based on color spatial distribution

Najgebauer P., Korytkowski M., Barranco C.D., Scherer R., Novel image descriptor based on color spatial distribution, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 712-722, 2016, Cites: 2

Rutkowski L., Korytkowski M., Scherer R., Tadeusiewicz R., Zadeh L.A., Zurada J.M., Artificial intelligence and soft computing: 15th international conference, ICAISC 2016 Zakopane, Poland, June 12-16, 2016 proceedings, Part I. (0)

Artificial intelligence and soft computing: 15th international conference, ICAISC 2016 Zakopane, Poland, June 12-16, 2016 proceedings, Part I

Rutkowski L., Korytkowski M., Scherer R., Tadeusiewicz R., Zadeh L.A., Zurada J.M., Artificial intelligence and soft computing: 15th international conference, ICAISC 2016 Zakopane, Poland, June 12-16, 2016 proceedings, Part I, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 2016, Cites: 0

Nowicki R.K., Scherer R., Rutkowski L., Novel rough neural network for classification with missing data. (5)

Novel rough neural network for classification with missing data

Nowicki R.K., Scherer R., Rutkowski L., Novel rough neural network for classification with missing data, 2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016, 820-825, 2016, Cites: 5

Najgebauer P., Scherer R., Fast image search by trees of keypoint descriptors. (0)

Fast image search by trees of keypoint descriptors

Najgebauer P., Scherer R., Fast image search by trees of keypoint descriptors, Advances in Intelligent Systems and Computing, 364, 364, 541-552, 2016, Cites: 0

Lagiewka M., Scherer R., Angryk R., Color-based large-scale image retrieval with limited hardware resources. (2)

Color-based large-scale image retrieval with limited hardware resources

Lagiewka M., Scherer R., Angryk R., Color-based large-scale image retrieval with limited hardware resources, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 689-699, 2016, Cites: 2

Staszewski P., Woldan P., Korytkowski M., Scherer R., Wang L., Query-by-example image retrieval in Microsoft SQL server. (4)

Query-by-example image retrieval in Microsoft SQL server

Staszewski P., Woldan P., Korytkowski M., Scherer R., Wang L., Query-by-example image retrieval in Microsoft SQL server, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 746-754, 2016, Cites: 4

Korytkowski M., Rutkowski L., Scherer R., Fast image classification by boosting fuzzy classifiers. (139)

Fast image classification by boosting fuzzy classifiers

Korytkowski M., Rutkowski L., Scherer R., Fast image classification by boosting fuzzy classifiers, Information Sciences, 327, 327, 175-182, 2016, Cites: 139

Duda P., Jaworski M., Pietruczuk L., Korytkowski M., Gabryel M., Scherer R., On the application of orthogonal series density estimation for image classification based on feature description. (1)

On the application of orthogonal series density estimation for image classification based on feature description

Duda P., Jaworski M., Pietruczuk L., Korytkowski M., Gabryel M., Scherer R., On the application of orthogonal series density estimation for image classification based on feature description, Advances in Intelligent Systems and Computing, 364, 364, 529-540, 2016, Cites: 1

Korytkowski M., Staszewski P., Woldan P., Scherer R., Fast computing framework for convolutional neural networks. (2)

Fast computing framework for convolutional neural networks

Korytkowski M., Staszewski P., Woldan P., Scherer R., Fast computing framework for convolutional neural networks, Proceedings - 2016 IEEE International Conferences on Big Data and Cloud Computing, BDCloud 2016, Social Computing and Networking, SocialCom 2016 and Sustainable Computing and Communications, SustainCom 2016, 118-123, 2016, Cites: 2

Najgebauer P., Rygal J., Nowak T., Romanowski J., Rutkowski L., Voloshynovskiy S., Scherer R., Fast dictionary matching for content-based image retrieval. (2)

Fast dictionary matching for content-based image retrieval

Najgebauer P., Rygal J., Nowak T., Romanowski J., Rutkowski L., Voloshynovskiy S., Scherer R., Fast dictionary matching for content-based image retrieval, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 747-756, 2015, Cites: 2

Nowicki R.K., Korytkowski M., Nowak B.A., Scherer R., Design methodology for rough neuro-fuzzy classification with missing data. (5)

Design methodology for rough neuro-fuzzy classification with missing data

Nowicki R.K., Korytkowski M., Nowak B.A., Scherer R., Design methodology for rough neuro-fuzzy classification with missing data, Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015, 1650-1657, 2015, Cites: 5

Ferdowsi S., Voloshynovskiy S., Kostadinov D., Korytkowski M., Scherer R., Secure representation of images using multi-layer compression. (3)

Secure representation of images using multi-layer compression

Ferdowsi S., Voloshynovskiy S., Kostadinov D., Korytkowski M., Scherer R., Secure representation of images using multi-layer compression, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 696-705, 2015, Cites: 3

Korytkowski M., Scherer R., Staszewski P., Woldan P., Bag-of-features image indexing and classification in microsoft SQL server relational database. (10)

Bag-of-features image indexing and classification in microsoft SQL server relational database

Korytkowski M., Scherer R., Staszewski P., Woldan P., Bag-of-features image indexing and classification in microsoft SQL server relational database, Proceedings - 2015 IEEE 2nd International Conference on Cybernetics, CYBCONF 2015, 478-482, 2015, Cites: 10

Kostadinov D., Voloshynovskiy S., Ferdowsi S., Diephuis M., Scherer R., Supervised transform learning for face recognition. (1)

Supervised transform learning for face recognition

Kostadinov D., Voloshynovskiy S., Ferdowsi S., Diephuis M., Scherer R., Supervised transform learning for face recognition, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 737-746, 2015, Cites: 1

Romanowski J., Korytkowski M., Scherer R., Efficient bone detector and geometric descriptor for x-ray imaging. (2)

Efficient bone detector and geometric descriptor for x-ray imaging

Romanowski J., Korytkowski M., Scherer R., Efficient bone detector and geometric descriptor for x-ray imaging, Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015, 1337-1342, 2015, Cites: 2

Grycuk R., Gabryel M., Scherer R., Voloshynovskiy S., Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database. (19)

Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database

Grycuk R., Gabryel M., Scherer R., Voloshynovskiy S., Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 715-726, 2015, Cites: 19

Najgebauer P., Nowak T., Romanowski J., Gabryel M., Korytkowski M., Scherer R., Content-based image retrieval by dictionary of local feature descriptors. (5)

Content-based image retrieval by dictionary of local feature descriptors

Najgebauer P., Nowak T., Romanowski J., Gabryel M., Korytkowski M., Scherer R., Content-based image retrieval by dictionary of local feature descriptors, Proceedings of the International Joint Conference on Neural Networks, 512-517, 2014, Cites: 5

Rygal J., Romanowski J., Scherer R., Ferdowsi S., Novel algorithm for translation from image content to semantic form. (1)

Novel algorithm for translation from image content to semantic form

Rygal J., Romanowski J., Scherer R., Ferdowsi S., Novel algorithm for translation from image content to semantic form, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 783-792, 2014, Cites: 1

Grycuk R., Gabryel M., Korytkowski M., Scherer R., Voloshynovskiy S., From single image to list of objects based on edge and blob detection. (32)

From single image to list of objects based on edge and blob detection

Grycuk R., Gabryel M., Korytkowski M., Scherer R., Voloshynovskiy S., From single image to list of objects based on edge and blob detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 605-615, 2014, Cites: 32

Kostadinov D., Voloshynovskiy S., Ferdowsi S., Diephuis M., Scherer R., Robust face recognition by group sparse representation that uses samples from list of subjects. (2)

Robust face recognition by group sparse representation that uses samples from list of subjects

Kostadinov D., Voloshynovskiy S., Ferdowsi S., Diephuis M., Scherer R., Robust face recognition by group sparse representation that uses samples from list of subjects, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 616-626, 2014, Cites: 2

Nowak T., Gabryel M., Korytkowski M., Scherer R., Comparing images based on histograms of local interest points. (3)

Comparing images based on histograms of local interest points

Nowak T., Gabryel M., Korytkowski M., Scherer R., Comparing images based on histograms of local interest points, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8384 LNCS, 8384 LNCS, 423-432, 2014, Cites: 3

Grycuk R., Gabryel M., Korytkowski M., Scherer R., Content-Based Image Indexing by Data Clustering and Inverse Document Frequency. (26)

Content-Based Image Indexing by Data Clustering and Inverse Document Frequency

Grycuk R., Gabryel M., Korytkowski M., Scherer R., Content-Based Image Indexing by Data Clustering and Inverse Document Frequency, Communications in Computer and Information Science, 424, 424, 374-383, 2014, Cites: 26

Grycuk R., Gabryel M., Korytkowski M., Romanowski J., Scherer R., Improved digital image segmentation based on stereo vision and mean shift algorithm. (13)

Improved digital image segmentation based on stereo vision and mean shift algorithm

Grycuk R., Gabryel M., Korytkowski M., Romanowski J., Scherer R., Improved digital image segmentation based on stereo vision and mean shift algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8384 LNCS, 8384 LNCS, 433-443, 2014, Cites: 13

Nowak T., Najgebauer P., Romanowski J., Gabryel M., Korytkowski M., Scherer R., Kostadinov D., Spatial keypoint representation for visual object retrieval. (4)

Spatial keypoint representation for visual object retrieval

Nowak T., Najgebauer P., Romanowski J., Gabryel M., Korytkowski M., Scherer R., Kostadinov D., Spatial keypoint representation for visual object retrieval, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 639-650, 2014, Cites: 4

Rygal J., Najgebauer P., Romanowski J., Scherer R., Extraction of objects from images using density of edges as basis for GrabCut algorithm. (3)

Extraction of objects from images using density of edges as basis for GrabCut algorithm

Rygal J., Najgebauer P., Romanowski J., Scherer R., Extraction of objects from images using density of edges as basis for GrabCut algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 613-623, 2013, Cites: 3

Nowak T., Najgebauer P., Rygal J., Scherer R., A novel graph-based descriptor for object matching. (2)

A novel graph-based descriptor for object matching

Nowak T., Najgebauer P., Rygal J., Scherer R., A novel graph-based descriptor for object matching, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 602-612, 2013, Cites: 2

Gabryel M., Korytkowski M., Scherer R., Rutkowski L., Object detection by simple fuzzy classifiers generated by boosting. (24)

Object detection by simple fuzzy classifiers generated by boosting

Gabryel M., Korytkowski M., Scherer R., Rutkowski L., Object detection by simple fuzzy classifiers generated by boosting, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 540-547, 2013, Cites: 24

Szarek A., Korytkowski M., Rutkowski L., Scherer R., Szyprowski J., Application of neural networks in assessing changes around implant after total hip arthroplasty. (23)

Application of neural networks in assessing changes around implant after total hip arthroplasty

Szarek A., Korytkowski M., Rutkowski L., Scherer R., Szyprowski J., Application of neural networks in assessing changes around implant after total hip arthroplasty, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 335-340, 2012, Cites: 23

Szarek A., Korytkowski M., Rutkowski L., Scherer R., Szyprowski J., Forecasting wear of head and acetabulum in hip joint implant. (14)

Forecasting wear of head and acetabulum in hip joint implant

Szarek A., Korytkowski M., Rutkowski L., Scherer R., Szyprowski J., Forecasting wear of head and acetabulum in hip joint implant, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 341-346, 2012, Cites: 14

Scherer R., Introduction to fuzzy systems. (0)

Introduction to fuzzy systems

Scherer R., Introduction to fuzzy systems, Studies in Fuzziness and Soft Computing, 288, 288, 7-28, 2012, Cites: 0

Scherer R., Introduction. (0)

Introduction

Scherer R., Introduction, Studies in Fuzziness and Soft Computing, 288, 288, 1-5, 2012, Cites: 0

Scherer R., Ensemble techniques. (0)

Ensemble techniques

Scherer R., Ensemble techniques, Studies in Fuzziness and Soft Computing, 288, 288, 29-37, 2012, Cites: 0

Scherer R., Takagi-Sugeno fuzzy systems. (5)

Takagi-Sugeno fuzzy systems

Scherer R., Takagi-Sugeno fuzzy systems, Studies in Fuzziness and Soft Computing, 288, 288, 73-79, 2012, Cites: 5

Rutkowski L., Cpalka K., Nowicki R., Pokropinska A., Scherer R., Neuro-fuzzy systems. (2)

Neuro-fuzzy systems

Rutkowski L., Cpalka K., Nowicki R., Pokropinska A., Scherer R., Neuro-fuzzy systems, Computational Complexity: Theory, Techniques, and Applications, 9781461418009, 9781461418009, 2069-2081, 2012, Cites: 2

Scherer R., Logical type fuzzy systems. (0)

Logical type fuzzy systems

Scherer R., Logical type fuzzy systems, Studies in Fuzziness and Soft Computing, 288, 288, 61-71, 2012, Cites: 0

Scherer R., Ensembles of the Mamdani fuzzy systems. (0)

Ensembles of the Mamdani fuzzy systems

Scherer R., Ensembles of the Mamdani fuzzy systems, Studies in Fuzziness and Soft Computing, 288, 288, 51-59, 2012, Cites: 0

Rygal J., Najgebauer P., Nowak T., Romanowski J., Gabryel M., Scherer R., Properties and structure of fast text search engine in context of semantic image analysis. (4)

Properties and structure of fast text search engine in context of semantic image analysis

Rygal J., Najgebauer P., Nowak T., Romanowski J., Gabryel M., Scherer R., Properties and structure of fast text search engine in context of semantic image analysis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 592-599, 2012, Cites: 4

Scherer R., Rough-neuro-fuzzy ensembles for classification with missing data. (0)

Rough-neuro-fuzzy ensembles for classification with missing data

Scherer R., Rough-neuro-fuzzy ensembles for classification with missing data, Studies in Fuzziness and Soft Computing, 288, 288, 81-127, 2012, Cites: 0

Scherer R., Preface. (10)

Preface

Scherer R., Preface, Studies in Fuzziness and Soft Computing, 288, 288, 2012, Cites: 10

Najgebauer P., Nowak T., Romanowski J., Rygal J., Korytkowski M., Scherer R., Novel method for parasite detection in microscopic samples. (4)

Novel method for parasite detection in microscopic samples

Najgebauer P., Nowak T., Romanowski J., Rygal J., Korytkowski M., Scherer R., Novel method for parasite detection in microscopic samples, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 551-558, 2012, Cites: 4

Scherer R., Concluding remarks and challenges for future research. (0)

Concluding remarks and challenges for future research

Scherer R., Concluding remarks and challenges for future research, Studies in Fuzziness and Soft Computing, 288, 288, 129-130, 2012, Cites: 0

Scherer R., Relational modular fuzzy systems. (1)

Relational modular fuzzy systems

Scherer R., Relational modular fuzzy systems, Studies in Fuzziness and Soft Computing, 288, 288, 39-50, 2012, Cites: 1

Korytkowski M., Rutkowski L., Scherer R., Rule base normalization in Takagi-Sugeno ensemble. (3)

Rule base normalization in Takagi-Sugeno ensemble

Korytkowski M., Rutkowski L., Scherer R., Rule base normalization in Takagi-Sugeno ensemble, IEEE SSCI 2011 - Symposium Series on Computational Intelligence - HIMA 2011: 2011 IEEE Workshop on Hybrid Intelligent Models and Applications, 1-5, 2011, Cites: 3

Korytkowski M., Nowicki R., Rutkowski L., Scherer R., AdaBoost ensemble of DCOG rough-neuro-fuzzy systems. (25)

AdaBoost ensemble of DCOG rough-neuro-fuzzy systems

Korytkowski M., Nowicki R., Rutkowski L., Scherer R., AdaBoost ensemble of DCOG rough-neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6922 LNAI, 6922 LNAI, 62-71, 2011, Cites: 25

Scherer R., An ensemble of logical-type neuro-fuzzy systems. (11)

An ensemble of logical-type neuro-fuzzy systems

Scherer R., An ensemble of logical-type neuro-fuzzy systems, Expert Systems with Applications, 38, 38, 13115-13120, 2011, Cites: 11

Gabryel M., Korytkowski M., Pokropinska A., Scherer R., Drozda S., Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms. (1)

Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms

Gabryel M., Korytkowski M., Pokropinska A., Scherer R., Drozda S., Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 74-79, 2010, Cites: 1

Korytkowski M., Rutkowski L., Scherer R., Szarek A., Neural network-based assessment of femur stress after hip joint alloplasty. (0)

Neural network-based assessment of femur stress after hip joint alloplasty

Korytkowski M., Rutkowski L., Scherer R., Szarek A., Neural network-based assessment of femur stress after hip joint alloplasty, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 621-626, 2010, Cites: 0

Korytkowski M., Scherer R., Modular neuro-fuzzy systems based on generalized parametric triangular norms. (2)

Modular neuro-fuzzy systems based on generalized parametric triangular norms

Korytkowski M., Scherer R., Modular neuro-fuzzy systems based on generalized parametric triangular norms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6067 LNCS, 6067 LNCS, 332-339, 2010, Cites: 2

Scherer R., Designing boosting ensemble of relational fuzzy systems. (32)

Designing boosting ensemble of relational fuzzy systems

Scherer R., Designing boosting ensemble of relational fuzzy systems, International Journal of Neural Systems, 20, 20, 381-388, 2010, Cites: 32

Korytkowski M., Nowicki R.K., Scherer R., Rutkowski L., MICOG defuzzification rough-neuro-fuzzy system ensemble. (5)

MICOG defuzzification rough-neuro-fuzzy system ensemble

Korytkowski M., Nowicki R.K., Scherer R., Rutkowski L., MICOG defuzzification rough-neuro-fuzzy system ensemble, 2010 IEEE World Congress on Computational Intelligence, WCCI 2010, 2010, Cites: 5

Scherer R., Neuro-fuzzy systems with relation matrix. (23)

Neuro-fuzzy systems with relation matrix

Scherer R., Neuro-fuzzy systems with relation matrix, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 210-215, 2010, Cites: 23

Scherer R., Starczewski J.T., Relational type-2 interval fuzzy systems. (3)

Relational type-2 interval fuzzy systems

Scherer R., Starczewski J.T., Relational type-2 interval fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6067 LNCS, 6067 LNCS, 360-368, 2010, Cites: 3

Korytkowski M., Scherer R., Negative correlation learning of neuro-fuzzy system ensembles. (6)

Negative correlation learning of neuro-fuzzy system ensembles

Korytkowski M., Scherer R., Negative correlation learning of neuro-fuzzy system ensembles, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 114-119, 2010, Cites: 6

Scherer R., Neuro-fuzzy relational systems for nonlinear approximation and prediction. (29)

Neuro-fuzzy relational systems for nonlinear approximation and prediction

Scherer R., Neuro-fuzzy relational systems for nonlinear approximation and prediction, Nonlinear Analysis, Theory, Methods and Applications, 71, 71, 2009, Cites: 29

Korytkowski M., Nowicki R., Scherer R., Neuro-fuzzy rough classifier ensemble. (27)

Neuro-fuzzy rough classifier ensemble

Korytkowski M., Nowicki R., Scherer R., Neuro-fuzzy rough classifier ensemble, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5768 LNCS, 5768 LNCS, 817-823, 2009, Cites: 27

Scherer R., Korytkowski M., Nowicki R., Rutkowski L., Modular rough neuro-fuzzy systems for classification. (3)

Modular rough neuro-fuzzy systems for classification

Scherer R., Korytkowski M., Nowicki R., Rutkowski L., Modular rough neuro-fuzzy systems for classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4967 LNCS, 4967 LNCS, 540-548, 2008, Cites: 3

Pokropinska A., Scherer R., Financial prediction with neuro-fuzzy systems. (5)

Financial prediction with neuro-fuzzy systems

Pokropinska A., Scherer R., Financial prediction with neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 1120-1126, 2008, Cites: 5

Korytkowski M., Rutkowski L., Scherer R., From ensemble of fuzzy classifiers to single fuzzy rule base classifier. (62)

From ensemble of fuzzy classifiers to single fuzzy rule base classifier

Korytkowski M., Rutkowski L., Scherer R., From ensemble of fuzzy classifiers to single fuzzy rule base classifier, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 265-272, 2008, Cites: 62

Starczewski J., Scherer R., Korytkowski M., Nowicki R., Modular type-2 neuro-fuzzy systems. (21)

Modular type-2 neuro-fuzzy systems

Starczewski J., Scherer R., Korytkowski M., Nowicki R., Modular type-2 neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4967 LNCS, 4967 LNCS, 570-578, 2008, Cites: 21

Scherer R., Regression modeling with fuzzy relations. (1)

Regression modeling with fuzzy relations

Scherer R., Regression modeling with fuzzy relations, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 317-323, 2008, Cites: 1

Korytkowski M., Nowicki R., Scherer R., Rutkowski L., Ensemble of rough-neuro-fuzzy systems for classification with missing features. (14)

Ensemble of rough-neuro-fuzzy systems for classification with missing features

Korytkowski M., Nowicki R., Scherer R., Rutkowski L., Ensemble of rough-neuro-fuzzy systems for classification with missing features, IEEE International Conference on Fuzzy Systems, 1745-1750, 2008, Cites: 14

Korytkowski M., Rutkowski L., Scherer R., On speeding up the learning process of neuro-fuzzy ensembles generated by the adaboost algorithm. (0)

On speeding up the learning process of neuro-fuzzy ensembles generated by the adaboost algorithm

Korytkowski M., Rutkowski L., Scherer R., On speeding up the learning process of neuro-fuzzy ensembles generated by the adaboost algorithm, Advances in Soft Computing, 45, 45, 319-326, 2007, Cites: 0

Korytkowski M., Rutkowski L., Scherer R., Drozda G., On obtaining fuzzy rule base from ensemble of Takagi-Sugeno systems. (1)

On obtaining fuzzy rule base from ensemble of Takagi-Sugeno systems

Korytkowski M., Rutkowski L., Scherer R., Drozda G., On obtaining fuzzy rule base from ensemble of Takagi-Sugeno systems, Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007, 234-237, 2007, Cites: 1

Pokropinska A., Nowicki R., Scherer R., Isolines of statistical information criteria for relational neuro-fuzzy system design. (1)

Isolines of statistical information criteria for relational neuro-fuzzy system design

Pokropinska A., Nowicki R., Scherer R., Isolines of statistical information criteria for relational neuro-fuzzy system design, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 288-296, 2006, Cites: 1

Korytkowski M., Nowicki R., Rutkowski L., Scherer R., Merging ensemble of neuro-fuzzy systems. (7)

Merging ensemble of neuro-fuzzy systems

Korytkowski M., Nowicki R., Rutkowski L., Scherer R., Merging ensemble of neuro-fuzzy systems, IEEE International Conference on Fuzzy Systems, 1954-1957, 2006, Cites: 7

Korytkowski M., Rutkowski L., Scherer R., On combining backpropagation with boosting. (58)

On combining backpropagation with boosting

Korytkowski M., Rutkowski L., Scherer R., On combining backpropagation with boosting, IEEE International Conference on Neural Networks - Conference Proceedings, 1274-1277, 2006, Cites: 58

Scherer R., Boosting ensemble of relational neuro-fuzzy systems. (34)

Boosting ensemble of relational neuro-fuzzy systems

Scherer R., Boosting ensemble of relational neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 306-313, 2006, Cites: 34

Korytkowski M., Nowicki R., Rutkowski L., Scherer R., Combining logical-type neuro-fuzzy systems. (1)

Combining logical-type neuro-fuzzy systems

Korytkowski M., Nowicki R., Rutkowski L., Scherer R., Combining logical-type neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 240-249, 2006, Cites: 1

Gaweda A.E., Scherer R., Fuzzy number-based hierarchical fuzzy system. (8)

Fuzzy number-based hierarchical fuzzy system

Gaweda A.E., Scherer R., Fuzzy number-based hierarchical fuzzy system, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 302-307, 2004, Cites: 8

Scherer R., Starczewski J., Gaweda A., New methods for uncertainty representations in neuro-fuzzy systems. (4)

New methods for uncertainty representations in neuro-fuzzy systems

Scherer R., Starczewski J., Gaweda A., New methods for uncertainty representations in neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 3019, 659-667, 2004, Cites: 4

Korytkowski M., Gabryel M., Nowicki R., Scherer R., Genetic algorithm for database indexing. (2)

Genetic algorithm for database indexing

Korytkowski M., Gabryel M., Nowicki R., Scherer R., Genetic algorithm for database indexing, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 1142-1147, 2004, Cites: 2

Scherer R., Rutkowski L., Neuro-fuzzy relational classifiers. (25)

Neuro-fuzzy relational classifiers

Scherer R., Rutkowski L., Neuro-fuzzy relational classifiers, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 376-380, 2004, Cites: 25

Nowicki R., Scherer R., Rutkowski L., A Hierarchical Neuro-Fuzzy System Based on S-Implications. (5)

A Hierarchical Neuro-Fuzzy System Based on S-Implications

Nowicki R., Scherer R., Rutkowski L., A Hierarchical Neuro-Fuzzy System Based on S-Implications, Proceedings of the International Joint Conference on Neural Networks, 1, 1, 321-325, 2003, Cites: 5

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