user photo
Contact:

Position:
Full Professor Research Vice-Head of Department

Research teams:
Nowe systemy głębokiego uczenia i ich zastosowania
Leader of: Nowe systemy głębokiego uczenia i ich zastosowania

Classes:
Artificial neural networks lab.
Artificial neural networks lec.
Eksploracja danych biznesowych lab.
Eksploracja danych biznesowych wyk.
Prof. PhD DSc Eng Rafał Scherer

Papers (153)

2021 (12)

Design and Implementation of Regional Food Distribution Platform Based on Big Data
Wei Wei and Huiqing Liang and Beibei Zhang and Robertas Damaševičius and Rafal Scherer, Design and Implementation of Regional Food Distribution Platform Based on Big Data, IEEE, 496-501, 2021, Cites: 0
Grid-Based Concise Hash for Solar Images
Rafał Grycuk and Rafał Scherer, Grid-Based Concise Hash for Solar Images, Springer, Cham, 242-254, 2021, Cites: 0
Review of Road Segmentation for SAR Images
Zengguo Sun and Hui Geng and Zheng Lu and Rafał Scherer and Marcin Woźniak, Review of Road Segmentation for SAR Images, Multidisciplinary Digital Publishing Institute, 1011, 2021, Cites: 0
Improved Fisher MAP Filter for Despeckling of High-Resolution SAR Images Based on Structural Information Detection
Wei Wei and Zeng-Guo Sun and Zhi-Hua Zhang and Rafal Scherer and Robertas Damaševičius, Improved Fisher MAP Filter for Despeckling of High-Resolution SAR Images Based on Structural Information Detection, 413-421, 2021, Cites: 0
HUMANNET-a Two-Tiered Deep Neural Network Architecture for Self-Occluding Humanoid Pose Reconstruction
Audrius Kulikajevas and Rytis Maskeliunas and Robertas Damasevicius and Rafal Scherer, HUMANNET-a Two-Tiered Deep Neural Network Architecture for Self-Occluding Humanoid Pose Reconstruction, Multidisciplinary Digital Publishing Institute, 3945, 2021, Cites: 0
Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification
Jakub Walczak and Adam Wojciechowski and Patryk Najgebauer and Rafał Scherer, Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification, Springer, Cham, 229-241, 2021, Cites: 0
Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network
Hanhong Shi and Lei Wang and Rafał Scherer and Marcin Woźniak and Pengchao Zhang and Wei Wei, Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network, IEEE, 66965-66981, 2021, Cites: 0
MSAR‐DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution
Ying Zhou and Weipeng Jing and Jian Wang and Guangsheng Chen and Rafal Scherer and Robertas Damaševičius, MSAR‐DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution, 2021, Cites: 0
Abnormal Detection of Electricity Consumption of User Based on Particle Swarm Optimization and Long Short Term Memory With the Attention Mechanism
Jiahao Bian and Lei Wang and Rafał Scherer and Marcin Woźniak and Pengchao Zhang and Wei Wei, Abnormal Detection of Electricity Consumption of User Based on Particle Swarm Optimization and Long Short Term Memory With the Attention Mechanism, IEEE, 47252-47265, 2021, Cites: 0
Design and Implementation of Public Opinion Monitoring System Based on Cloud Platform
Wei Wei and Long Wang and Xiaowan Li and Beibei Zhang and Rafał Scherer, Design and Implementation of Public Opinion Monitoring System Based on Cloud Platform, 569-581, 2021, Cites: 0
Traffic flow prediction based on BP neural network
Tuo Wang and Beibei Zhang and Wei Wei and Robertas Damaševičius and Rafal Scherer, Traffic flow prediction based on BP neural network, IEEE, 15-19, 2021, Cites: 0
Apple Packaging Redesign in LuochuanBased on the Concept of Sustainable Packaging
Xiangxiang Ding and Wei Wei and Beibei Zhang and Rafal Scherer and Robertas Damaševičius, Apple Packaging Redesign in LuochuanBased on the Concept of Sustainable Packaging, IEEE, 614-627, 2021, Cites: 0

2020 (29)

Computer vision methods for fast image classification and retrieval
Rafał Scherer, Computer vision methods for fast image classification and retrieval, Springer International Publishing, 2020, Cites: 15
Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II
Leszek Rutkowski and Rafał Scherer and Marcin Korytkowski and Witold Pedrycz and Ryszard Tadeusiewicz and Jacek M Zurada, Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II, Springer Nature, 2020, Cites: 0
Concluding Remarks and Perspectives in Computer Vision
Rafał Scherer, Concluding Remarks and Perspectives in Computer Vision, Springer, Cham, 137-137, 2020, Cites: 0
Novel Fast Binary Hash for Content-based Solar Image Retrieval
Rafał Grycuk and Rafał Scherer, Novel Fast Binary Hash for Content-based Solar Image Retrieval, IEEE, 1-7, 2020, Cites: 0
FastText and XGBoost Content-Based Classification for Employment Web Scraping
Arkadiusz Talun and Pawel Drozda and Leszek Bukowski and Rafał Scherer, FastText and XGBoost Content-Based Classification for Employment Web Scraping, Springer, Cham, 435-444, 2020, Cites: 0
Accurate and fast URL phishing detector: A convolutional neural network approach
Wei Wei and Qiao Ke and Jakub Nowak and Marcin Korytkowski and Rafał Scherer and Marcin Woźniak, Accurate and fast URL phishing detector: A convolutional neural network approach, Elsevier, 107275, 2020, Cites: 21
Efficient Visual Classification by Fuzzy Rules
Marcin Korytkowski and Rafał Scherer and Dominik Szajerman and Dawid Połap and Marcin Woźniak, Efficient Visual Classification by Fuzzy Rules, IEEE, 1-6, 2020, Cites: 1
Image Indexing Techniques
Rafał Scherer, Image Indexing Techniques, Springer, Cham, 33-82, 2020, Cites: 0
Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training
Inzamam Mashood Nasir and Muhammad Attique Khan and Mussarat Yasmin and Jamal Hussain Shah and Marcin Gabryel and Rafał Scherer and Robertas Damaševičius, Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training, Multidisciplinary Digital Publishing Institute, 6793, 2020, Cites: 4
High-Resolution SAR Image Despeckling Based on Nonlocal Means Filter and Modified AA Model
Qiao Ke and Sun Zeng-guo and Yang Liu and Wei Wei and Marcin Woźniak and Rafał Scherer, High-Resolution SAR Image Despeckling Based on Nonlocal Means Filter and Modified AA Model, Hindawi, 2020, Cites: 3
Research on variable scale algorithm
Wei Wei and MingWei Hui and BeiBei Zhang and Rafal Scherer and Fan Gao and Robertas Damaševičius, Research on variable scale algorithm, IEEE, 316-322, 2020, Cites: 0
Quality Control of the Continuous Hot Pressing Process of Medium Density Fiberboard Using Fuzzy Failure Mode and Effects Analysis
Yunlei Lv and Yaqiu Liu and Weipeng Jing and Marcin Woźniak and Robertas Damaševičius and Rafał Scherer and Wei Wei, Quality Control of the Continuous Hot Pressing Process of Medium Density Fiberboard Using Fuzzy Failure Mode and Effects Analysis, Multidisciplinary Digital Publishing Institute, 4627, 2020, Cites: 4
GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification
Arijit Das and Indrajit Saha and Rafał Scherer, GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification, Multidisciplinary Digital Publishing Institute, 6823, 2020, Cites: 1
Educational Management System
Wei Wei and Xiaowan Li and Beibei Zhang and Xia Liu and Rafal Scherer and Robertas Damaševičius, Educational Management System, IEEE, 53-56, 2020, Cites: 0
Fully convolutional network for removing DCT artefacts from images
Patryk Najgebauer and Rafał Scherer and Leszek Rutkowski, Fully convolutional network for removing DCT artefacts from images, IEEE, 1-8, 2020, Cites: 1
Prediction of Streamflow Based on Dynamic Sliding Window LSTM
Limei Dong and Desheng Fang and Xi Wang and Wei Wei and Robertas Damaševičius and Rafał Scherer and Marcin Woźniak, Prediction of Streamflow Based on Dynamic Sliding Window LSTM, Multidisciplinary Digital Publishing Institute, 3032, 2020, Cites: 0
Feature detection
Rafał Scherer, Feature detection, Springer, Cham, 7-32, 2020, Cites: 4
Design and implementation of forward modeling algorithm for anisotropic seismic waves
Wei Wei and Fan Gao and BeiBei Zhang and Rafal Scherer and Mingwei Hui and Robertas Damasevicius, Design and implementation of forward modeling algorithm for anisotropic seismic waves, IEEE, 341-350, 2020, Cites: 0
Discovering Sequential Patterns by Neural Networks
Jakub Nowak and Marcin Korytkowski and Rafał Scherer, Discovering Sequential Patterns by Neural Networks, IEEE, 1-6, 2020, Cites: 0
Image Retrieval and Classification in Relational Databases
Rafał Scherer, Image Retrieval and Classification in Relational Databases, Springer, Cham, 107-136, 2020, Cites: 0
Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists
Muhammad Attique Khan and Imran Ashraf and Majed Alhaisoni and Robertas Damaševičius and Rafal Scherer and Amjad Rehman and Syed Ahmad Chan Bukhari, Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists, Multidisciplinary Digital Publishing Institute, 565, 2020, Cites: 37
Active Region-Based Full-Disc Solar Image Hashing
Rafał Grycuk and Kelton Costa and Rafał Scherer, Active Region-Based Full-Disc Solar Image Hashing, Springer, Cham, 19-30, 2020, Cites: 0
Encoder-Decoder Based CNN Structure for Microscopic Image Identification
Dawid Połap and Marcin Wozniak and Marcin Korytkowski and Rafał Scherer, Encoder-Decoder Based CNN Structure for Microscopic Image Identification, Springer, Cham, 301-312, 2020, Cites: 0
Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method
Jakub Walczak and Grzegorz Andrzejczak and Rafał Scherer and Adam Wojciechowski, Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method, Springer, Cham, 100-114, 2020, Cites: 1
Novel Methods for Image Description
Rafał Scherer, Novel Methods for Image Description, Springer, Cham, 83-105, 2020, Cites: 0
Fingerprinting of URL logs: continuous user authentication from behavioural patterns
Jakub Nowak and Taras Holotyak and Marcin Korytkowski and Rafał Scherer and Slava Voloshynovskiy, Fingerprinting of URL logs: continuous user authentication from behavioural patterns, Springer, Cham, 184-195, 2020, Cites: 1
Online Job Search and Recruitment Platform for College Students Based on SSH
Wei Wei and Bin Wang and Beibei Zhang and Rafal Scherer and Robertas Damaševičius, Online Job Search and Recruitment Platform for College Students Based on SSH, IEEE, 355-358, 2020, Cites: 0
Intelligent recommendation of related items based on naive bayes and collaborative filtering combination model
Wei Wei and Zhuo Wang and Changlong Fu and Robertas Damaševičius and Rafal Scherer and Marcin Wožniak, Intelligent recommendation of related items based on naive bayes and collaborative filtering combination model, IOP Publishing, 012043, 2020, Cites: 1
A pilot study for investigating gait signatures in multi-scenario applications
Sumit Hazra and Priyankar Roy and Anup Nandy and Rafał Scherer, A pilot study for investigating gait signatures in multi-scenario applications, IEEE, 1-10, 2020, Cites: 2

2019 (10)

Convolutional recurrent neural networks for computer network analysis
Jakub Nowak and Marcin Korytkowski and Rafał Scherer, Convolutional recurrent neural networks for computer network analysis, Springer, Cham, 747-757, 2019, Cites: 1
Software framework for fast image retrieval
Rafal Grycuk and Rafal Scherer, Software framework for fast image retrieval, IEEE, 588-593, 2019, Cites: 1
Hemigen: human embryo image generator based on generative adversarial networks
Darius Dirvanauskas and Rytis Maskeliūnas and Vidas Raudonis and Robertas Damaševičius and Rafal Scherer, Hemigen: human embryo image generator based on generative adversarial networks, Multidisciplinary Digital Publishing Institute, 3578, 2019, Cites: 15
URL-based Phishing Attack Detection by Convolutional Neural Network
Jakub Nowak and Marcin Korytkowski and Marcin Wozniak and Patryk Najgebauer and Rafal Scherer, URL-based Phishing Attack Detection by Convolutional Neural Network, 60-67, 2019, Cites: 2
Discovering Sequences in Systems Logs by Neural Networks
Jakub Nowak and Marcin Korytkowski and Marcin Wozniak and Rafal Scherer, Discovering Sequences in Systems Logs by Neural Networks, 69-76, 2019, Cites: 0
Microscopic sample segmentation by fully convolutional network for parasite detection
Patryk Najgebauer and Rafał Grycuk and Leszek Rutkowski and Rafał Scherer and Agnieszka Siwocha, Microscopic sample segmentation by fully convolutional network for parasite detection, Springer, Cham, 164-171, 2019, Cites: 1
Distributed image retrieval with colour and keypoint features
Michał Ła̧giewka and Marcin Korytkowski and Rafal Scherer, Distributed image retrieval with colour and keypoint features, Taylor & Francis, 430-445, 2019, Cites: 5
Inertia-based Fast Vectorization of Line Drawings
Patryk Najgebauer and Rafał Scherer, Inertia-based Fast Vectorization of Line Drawings, https://diglib.eg.org/handle/10.1111/cgf13829?show=full, 203-213, 2019, Cites: 2
Multilayer Architecture for Content-based Image Retrieval Systems
Rafal Grycuk and Patryk Najgebauer and Robert Nowicki and Rafal Scherer, Multilayer Architecture for Content-based Image Retrieval Systems, IEEE, 119-126, 2019, Cites: 1
Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part II
Leszek Rutkowski and Rafał Scherer and Marcin Korytkowski and Witold Pedrycz and Ryszard Tadeusiewicz and Jacek M Zurada, Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part II, Springer, 2019, Cites: 0

2018 (5)

Fast two-level image indexing based on local interest points
Patryk Najgebauer and Rafal Grycuk and Rafal Scherer, Fast two-level image indexing based on local interest points, IEEE, 613-617, 2018, Cites: 3
Classification of computer network users with convolutional neural networks
Jakub Nowak and Marcin Korytkowski and Rafal Scherer, Classification of computer network users with convolutional neural networks, IEEE, 501-504, 2018, Cites: 3
Random forests for profiling computer network users
Jakub Nowak and Marcin Korytkowski and Robert Nowicki and Rafał Scherer and Agnieszka Siwocha, Random forests for profiling computer network users, Springer, Cham, 734-739, 2018, Cites: 9
Rough neural network ensemble for interval data classification
Robert K Nowicki and Marcin Korytkowski and Rafal Scherer, Rough neural network ensemble for interval data classification, IEEE, 1-7, 2018, Cites: 3
Architecture of database index for content-based image retrieval systems
Rafał Grycuk and Patryk Najgebauer and Rafał Scherer and Agnieszka Siwocha, Architecture of database index for content-based image retrieval systems, Springer, Cham, 36-47, 2018, Cites: 2

2017 (5)

Interest point localization based on edge detection according to gestalt laws
Patryk Najgebauer and Leszek Rutkowski and Rafal Scherer, Interest point localization based on edge detection according to gestalt laws, IEEE, 349-353, 2017, Cites: 3
Novel method for joining missing line fragments for medical image analysis
Patryk Najgebauer and Leszek Rutkowski and Rafal Scherer, Novel method for joining missing line fragments for medical image analysis, IEEE, 861-866, 2017, Cites: 4
Springer: Cham
L Rutkowski and M Korytkowski and R Scherer and R Tadeusiewicz and L Zadeh and J Zurada, Springer: Cham, Switzerland, 52-63, 2017, Cites: 8
LSTM recurrent neural networks for short text and sentiment classification
Jakub Nowak and Ahmet Taspinar and Rafał Scherer, LSTM recurrent neural networks for short text and sentiment classification, Springer, Cham, 553-562, 2017, Cites: 72
Convolutional neural networks for time series classification
Mariusz Zȩbik and Marcin Korytkowski and Rafal Angryk and Rafał Scherer, Convolutional neural networks for time series classification, Springer, Cham, 635-642, 2017, Cites: 6

2016 (10)

Fast Image Search by Trees of Keypoint Descriptors
Patryk Najgebauer and Rafał Scherer, Fast Image Search by Trees of Keypoint Descriptors, Springer, Cham, 541-552, 2016, Cites: 0
Novel image descriptor based on color spatial distribution
Patryk Najgebauer and Marcin Korytkowski and Carlos D Barranco and Rafal Scherer, Novel image descriptor based on color spatial distribution, Springer, Cham, 712-722, 2016, Cites: 1
Fast image classification by boosting fuzzy classifiers
Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer, Fast image classification by boosting fuzzy classifiers, Elsevier, 175-182, 2016, Cites: 141
On the Application of Orthogonal Series Density Estimation for Image Classification Based on Feature Description
Piotr Duda and Maciej Jaworski and Lena Pietruczuk and Marcin Korytkowski and Marcin Gabryel and Rafał Scherer, On the Application of Orthogonal Series Density Estimation for Image Classification Based on Feature Description, Springer, Cham, 529-540, 2016, Cites: 0
Color-based large-scale image retrieval with limited hardware resources
Michał Łagiewka and Rafał Scherer and Rafal Angryk, Color-based large-scale image retrieval with limited hardware resources, Springer, Cham, 689-699, 2016, Cites: 1
Query-by-example image retrieval in microsoft SQL server
Paweł Staszewski and Piotr Woldan and Marcin Korytkowski and Rafał Scherer and Lipo Wang, Query-by-example image retrieval in microsoft SQL server, Springer, Cham, 746-754, 2016, Cites: 4
Fast computing framework for convolutional neural networks
Marcin Korytkowski and Pawel Staszewski and Piotr Woldan and Rafal Scherer, Fast computing framework for convolutional neural networks, IEEE, 118-123, 2016, Cites: 2
Novel rough neural network for classification with missing data
Robert K Nowicki and Rafal Scherer and Leszek Rutkowski, Novel rough neural network for classification with missing data, IEEE, 820-825, 2016, Cites: 7
Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II
Leszek Rutkowski and Marcin Korytkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II, Springer, 2016, Cites: 0
Content-based image retrieval optimization by differential evolution
Rafał Grycuk and Marcin Gabryel and Robert Nowicki and Rafał Scherer, Content-based image retrieval optimization by differential evolution, IEEE, 86-93, 2016, Cites: 18

2015 (10)

On the application of fourier series density estimation for image classification based on feature description
Piotr Duda and Maciej Jaworski and Lena Pietruczuk and Rafa l Scherer and Marcin Korytkowski and Marcin Gabryel, On the application of fourier series density estimation for image classification based on feature description, 2015, Cites: 7
Efficient bone detector and geometric descriptor for x-ray imaging
Jakub Romanowski and Marcin Korytkowski and Rafal Scherer, Efficient bone detector and geometric descriptor for x-ray imaging, IEEE, 1337-1342, 2015, Cites: 1
New image descriptor from edge detector and blob extractor
Rafał Grycuk and Rafał Scherer and Marcin Gabryel, New image descriptor from edge detector and blob extractor, 31--39, 2015, Cites: 9
Fast dictionary matching for content-based image retrieval
Patryk Najgebauer and Janusz Rygał and Tomasz Nowak and Jakub Romanowski and Leszek Rutkowski and Sviatoslav Voloshynovskiy and Rafał Scherer, Fast dictionary matching for content-based image retrieval, Springer, Cham, 747-756, 2015, Cites: 3
Design methodology for rough neuro-fuzzy classification with missing data
Robert K Nowicki and Marcin Korytkowski and Bartosz A Nowak and Rafal Scherer, Design methodology for rough neuro-fuzzy classification with missing data, IEEE, 1650-1657, 2015, Cites: 4
Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database
Rafał Grycuk and Marcin Gabryel and Rafał Scherer and Sviatoslav Voloshynovskiy, Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database, Springer, Cham, 715-726, 2015, Cites: 23
Secure representation of images using multi-layer compression
Sohrab Ferdowsi and Sviatoslav Voloshynovskiy and Dimche Kostadinov and Marcin Korytkowski and Rafał Scherer, Secure representation of images using multi-layer compression, Springer, Cham, 696-705, 2015, Cites: 4
Supervised Transform Learning for Face Recognition
Dimche Kostadinov and Sviatoslav Voloshynovskiy and Sohrab Ferdowsi and Maurits Diephuis and Rafał Scherer, Supervised Transform Learning for Face Recognition, Springer, Cham, 737-746, 2015, Cites: 1
Bag-of-features image indexing and classification in Microsoft SQL server relational database
Marcin Korytkowski and Rafał Scherer and Paweł Staszewski and Piotr Woldan, Bag-of-features image indexing and classification in Microsoft SQL server relational database, IEEE, 478-482, 2015, Cites: 12
Tree representation of image key point descriptors
Patryk Najgebauer and Marcin Gabryel and Marcin Korytkowski and Rafa l Scherer, Tree representation of image key point descriptors, 2015, Cites: 1

2014 (7)

Content-based image indexing by data clustering and inverse document frequency
Rafał Grycuk and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer, Content-based image indexing by data clustering and inverse document frequency, Springer, Cham, 374-383, 2014, Cites: 31
Novel algorithm for translation from image content to semantic form
Janusz Rygał and Jakub Romanowski and Rafał Scherer and Sohrab Ferdowsi, Novel algorithm for translation from image content to semantic form, Springer, Cham, 783-792, 2014, Cites: 2
From single image to list of objects based on edge and blob detection
Rafał Grycuk and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer and Sviatoslav Voloshynovskiy, From single image to list of objects based on edge and blob detection, Springer, Cham, 605-615, 2014, Cites: 37
Robust face recognition by group sparse representation that uses samples from list of subjects
Dimche Kostadinov and Sviatoslav Voloshynovskiy and Sohrab Ferdowsi and Maurits Diephuis and Rafał Scherer, Robust face recognition by group sparse representation that uses samples from list of subjects, Springer, Cham, 616-626, 2014, Cites: 2
Spatial keypoint representation for visual object retrieval
Tomasz Nowak and Patryk Najgebauer and Jakub Romanowski and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer and Dimce Kostadinov, Spatial keypoint representation for visual object retrieval, Springer, Cham, 639-650, 2014, Cites: 5
Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II
Leszek Rutkowski and Marcin Korytkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II, Springer, 2014, Cites: 2
Content-based image retrieval by dictionary of local feature descriptors
Patryk Najgebauer and Tomasz Nowak and Jakub Romanowski and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer, Content-based image retrieval by dictionary of local feature descriptors, IEEE, 512-517, 2014, Cites: 6

2013 (6)

Object detection by simple fuzzy classifiers generated by boosting
Marcin Gabryel and Marcin Korytkowski and Rafał Scherer and Leszek Rutkowski, Object detection by simple fuzzy classifiers generated by boosting, Springer, Berlin, Heidelberg, 540-547, 2013, Cites: 26
Comparing images based on histograms of local interest points
Tomasz Nowak and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer, Comparing images based on histograms of local interest points, Springer, Berlin, Heidelberg, 423-432, 2013, Cites: 3
Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I
Leszek Rutkowski and Marcin Korytkowski and Rafal Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I, Springer, 2013, Cites: 4
A novel graph-based descriptor for object matching
Tomasz Nowak and Patryk Najgebauer and Jakub Rygał and Rafał Scherer, A novel graph-based descriptor for object matching, Springer, Berlin, Heidelberg, 602-612, 2013, Cites: 4
Improved digital image segmentation based on stereo vision and mean shift algorithm
Rafał Grycuk and Marcin Gabryel and Marcin Korytkowski and Jakub Romanowski and Rafał Scherer, Improved digital image segmentation based on stereo vision and mean shift algorithm, Springer, Berlin, Heidelberg, 433-443, 2013, Cites: 14
Extraction of objects from images using density of edges as basis for GrabCut algorithm
Janusz Rygał and Patryk Najgebauer and Jakub Romanowski and Rafał Scherer, Extraction of objects from images using density of edges as basis for GrabCut algorithm, Springer, Berlin, Heidelberg, 613-623, 2013, Cites: 4

2012 (17)

Swarm Intelligence and Differential Evolution
Leszek Rutkowski and Marcin Korytkowski and Rafal Scherer and Ryszard Tadeusiewicz and Lotfi Zadeh and Jacek Zurada, Swarm Intelligence and Differential Evolution, Springer, 2012, Cites: 0
Rough-neuro-fuzzy Ensembles for Classification with Missing Data
Rafał Scherer, Rough-neuro-fuzzy Ensembles for Classification with Missing Data, Springer, Berlin, Heidelberg, 81-127, 2012, Cites: 0
Properties and structure of fast text search engine in context of semantic image analysis
Janusz Rygał and Patryk Najgebauer and Tomasz Nowak and Jakub Romanowski and Marcin Gabryel and Rafał Scherer, Properties and structure of fast text search engine in context of semantic image analysis, Springer, Berlin, Heidelberg, 592-599, 2012, Cites: 4
Relational modular fuzzy systems
Rafał Scherer, Relational modular fuzzy systems, Springer, Berlin, Heidelberg, 39-50, 2012, Cites: 8
Takagi-Sugeno fuzzy systems
Rafał Scherer, Takagi-Sugeno fuzzy systems, Springer, Berlin, Heidelberg, 73-79, 2012, Cites: 4
Neuro-fuzzy SystemsNeuro-fuzzy systems (NFS)
L Rutkowski and K Cpałka and R Nowicki and A Pokropińska and R Scherer, Neuro-fuzzy SystemsNeuro-fuzzy systems (NFS), Springer, 2069-2081, 2012, Cites: 4
Application of neural networks in assessing changes around implant after total hip arthroplasty
Arkadiusz Szarek and Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer and Janusz Szyprowski, Application of neural networks in assessing changes around implant after total hip arthroplasty, Springer, Berlin, Heidelberg, 335-340, 2012, Cites: 23
Swarm and Evolutionary Computation: International Symposium, SIDE 2012, Held in Conjunction with ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings
Leszek Rutkowski and Marcin Korytkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi Zadeh and Jacek Zurada, Swarm and Evolutionary Computation: International Symposium, SIDE 2012, Held in Conjunction with ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings, Springer, 2012, Cites: 0
Introduction to Fuzzy Systems
Rafał Scherer, Introduction to Fuzzy Systems, Springer, Berlin, Heidelberg, 7-28, 2012, Cites: 0
Novel method for parasite detection in microscopic samples
Patryk Najgebauer and Tomasz Nowak and Jakub Romanowski and Janusz Rygał and Marcin Korytkowski and Rafał Scherer, Novel method for parasite detection in microscopic samples, Springer, Berlin, Heidelberg, 551-558, 2012, Cites: 5
Ensembles of the Mamdani Fuzzy Systems
Rafał Scherer, Ensembles of the Mamdani Fuzzy Systems, Springer, Berlin, Heidelberg, 51-59, 2012, Cites: 2
Multiple fuzzy classification systems
Rafał Scherer, Multiple fuzzy classification systems, Springer, 2012, Cites: 50
Concluding Remarks and Challenges for Future Research
Rafał Scherer, Concluding Remarks and Challenges for Future Research, Springer, Berlin, Heidelberg, 129-130, 2012, Cites: 0
Ensemble Techniques
Rafał Scherer, Ensemble Techniques, Springer, Berlin, Heidelberg, 29-37, 2012, Cites: 0
Orthopedic diagnostics with ensembles of learning systems
A Szarek and M Korytkowski and L Rutkowski and R Scherer and J Szyprowski, Orthopedic diagnostics with ensembles of learning systems, 141--146, 2012, Cites: 0
Forecasting wear of head and acetabulum in hip joint implant
Arkadiusz Szarek and Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer and Janusz Szyprowski, Forecasting wear of head and acetabulum in hip joint implant, Springer, Berlin, Heidelberg, 341-346, 2012, Cites: 16
Logical Type Fuzzy Systems
Rafał Scherer, Logical Type Fuzzy Systems, Springer, Berlin, Heidelberg, 61-71, 2012, Cites: 0

2011 (3)

AdaBoost ensemble of DCOG rough–neuro–fuzzy systems
Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski and Rafał Scherer, AdaBoost ensemble of DCOG rough–neuro–fuzzy systems, Springer, Berlin, Heidelberg, 62-71, 2011, Cites: 25
Rule base normalization in Takagi-Sugeno ensemble
Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer, Rule base normalization in Takagi-Sugeno ensemble, IEEE, 1-5, 2011, Cites: 3
An ensemble of logical-type neuro-fuzzy systems
Rafał Scherer, An ensemble of logical-type neuro-fuzzy systems, Pergamon, 13115-13120, 2011, Cites: 6

2010 (8)

Negative correlation learning of neuro-fuzzy system ensembles
Marcin Korytkowski and Rafał Scherer, Negative correlation learning of neuro-fuzzy system ensembles, Springer, Berlin, Heidelberg, 114-119, 2010, Cites: 4
Designing boosting ensemble of relational fuzzy systems
Rafał Scherer, Designing boosting ensemble of relational fuzzy systems, World Scientific Publishing Company, 381-388, 2010, Cites: 28
Artificial Intelligence and Soft Computing, Part I: 10th International Conference, ICAISC 2010, Zakopane, Poland, June13-17, 2010, Part I
Leszek Rutkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Artificial Intelligence and Soft Computing, Part I: 10th International Conference, ICAISC 2010, Zakopane, Poland, June13-17, 2010, Part I, Springer, 2010, Cites: 24
MICOG defuzzification rough-neuro-fuzzy system ensemble
Marcin Korytkowski and Robert K Nowicki and Rafał Scherer and Leszek Rutkowski, MICOG defuzzification rough-neuro-fuzzy system ensemble, IEEE, 1-6, 2010, Cites: 3
Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms
Marcin Gabryel and Marcin Korytkowski and Agata Pokropinska and Rafał Scherer and Stanisław Drozda, Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms, Springer, Berlin, Heidelberg, 74-79, 2010, Cites: 2
Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Leszek Rutkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I, Springer-Verlag, 2010, Cites: 0
Neural network-based assessment of femur stress after hip joint alloplasty
Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer and Arkadiusz Szarek, Neural network-based assessment of femur stress after hip joint alloplasty, Springer, Berlin, Heidelberg, 621-626, 2010, Cites: 0
Neuro-fuzzy systems with relation matrix
Rafał Scherer, Neuro-fuzzy systems with relation matrix, Springer, Berlin, Heidelberg, 210-215, 2010, Cites: 22

2009 (5)

Relational type-2 interval fuzzy systems
Rafał Scherer and Janusz T Starczewski, Relational type-2 interval fuzzy systems, Springer, Berlin, Heidelberg, 360-368, 2009, Cites: 2
Neuro-fuzzy Systems.
Leszek Rutkowski and Krzysztof Cpalka and Robert Nowicki and Agata Pokropinska and Rafal Scherer, Neuro-fuzzy Systems., 6086-6099, 2009, Cites: 0
Modular neuro-fuzzy systems based on generalized parametric triangular norms
Marcin Korytkowski and Rafał Scherer, Modular neuro-fuzzy systems based on generalized parametric triangular norms, Springer, Berlin, Heidelberg, 332-339, 2009, Cites: 3
Neuro-fuzzy relational systems for nonlinear approximation and prediction
Rafał Scherer, Neuro-fuzzy relational systems for nonlinear approximation and prediction, Pergamon, e1420-e1425, 2009, Cites: 30
Neuro-fuzzy rough classifier ensemble
Marcin Korytkowski and Robert Nowicki and Rafał Scherer, Neuro-fuzzy rough classifier ensemble, Springer, Berlin, Heidelberg, 817-823, 2009, Cites: 27

2008 (4)

Financial prediction with neuro-fuzzy systems
Agata Pokropińska and Rafał Scherer, Financial prediction with neuro-fuzzy systems, Springer, Berlin, Heidelberg, 1120-1126, 2008, Cites: 12
From ensemble of fuzzy classifiers to single fuzzy rule base classifier
Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer, From ensemble of fuzzy classifiers to single fuzzy rule base classifier, Springer, Berlin, Heidelberg, 265-272, 2008, Cites: 59
Regression Modeling with Fuzzy Relations
Rafał Scherer, Regression Modeling with Fuzzy Relations, Springer, Berlin, Heidelberg, 317-323, 2008, Cites: 1
Ensemble of rough-neuro-fuzzy systems for classification with missing features
Marcin Korytkowski and Robert Nowicki and Rafal Scherer and Leszek Rutkowski, Ensemble of rough-neuro-fuzzy systems for classification with missing features, IEEE, 1745-1750, 2008, Cites: 12

2007 (4)

Modular type-2 neuro-fuzzy systems
Janusz Starczewski and Rafał Scherer and Marcin Korytkowski and Robert Nowicki, Modular type-2 neuro-fuzzy systems, Springer, Berlin, Heidelberg, 570-578, 2007, Cites: 19
On speeding up the learning process of neuro-fuzzy ensembles generated by the adaboost algorithm
Marcin Korytkowski and Leszek Rutkowski and Rafal Scherer, On speeding up the learning process of neuro-fuzzy ensembles generated by the adaboost algorithm, Springer, Berlin, Heidelberg, 319-326, 2007, Cites: 1
Modular rough neuro-fuzzy systems for classification
Rafał Scherer and Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski, Modular rough neuro-fuzzy systems for classification, Springer, Berlin, Heidelberg, 540-548, 2007, Cites: 3
On Obtaining Fuzzy Rule Base from Ensemble of Takagi-Sugeno Systems
Marcin Korytkowski and Leszek Rutkowski and Rafal Scherer and Grzegorz Drozda, On Obtaining Fuzzy Rule Base from Ensemble of Takagi-Sugeno Systems, IEEE, 234-237, 2007, Cites: 1

2006 (5)

Boosting ensemble of relational neuro-fuzzy systems
Rafał Scherer, Boosting ensemble of relational neuro-fuzzy systems, Springer, Berlin, Heidelberg, 306-313, 2006, Cites: 35
On combining backpropagation with boosting
Marcin Korytkowski and Leszek Rutkowski and Rafal Scherer, On combining backpropagation with boosting, IEEE, 1274-1277, 2006, Cites: 57
Combining logical-type neuro-fuzzy systems
Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski and Rafał Scherer, Combining logical-type neuro-fuzzy systems, Springer, Berlin, Heidelberg, 240-249, 2006, Cites: 1
Isolines of statistical information criteria for relational neuro-fuzzy system design
Agata Pokropińska and Robert Nowicki and Rafał Scherer, Isolines of statistical information criteria for relational neuro-fuzzy system design, Springer, Berlin, Heidelberg, 288-296, 2006, Cites: 1
Merging ensemble of neuro-fuzzy systems
Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski and Rafal Scherer, Merging ensemble of neuro-fuzzy systems, IEEE, 1954-1957, 2006, Cites: 6

2005 (1)

Connectionist fuzzy relational systems
Rafał Scherer and Leszek Rutkowski, Connectionist fuzzy relational systems, Springer, Berlin, Heidelberg, 35-47, 2005, Cites: 22

2004 (3)

Neuro-fuzzy relational classifiers
Rafał Scherer and Leszek Rutkowski, Neuro-fuzzy relational classifiers, Springer, Berlin, Heidelberg, 376-380, 2004, Cites: 22
Genetic algorithm for database indexing
Marcin Korytkowski and Marcin Gabryel and Robert Nowicki and Rafał Scherer, Genetic algorithm for database indexing, Springer, Berlin, Heidelberg, 1142-1147, 2004, Cites: 2
Fuzzy number-based hierarchical fuzzy system
Adam E Gaweda and Rafał Scherer, Fuzzy number-based hierarchical fuzzy system, Springer, Berlin, Heidelberg, 302-307, 2004, Cites: 13

2003 (3)

New methods for uncertainty representations in neuro-fuzzy systems
Rafał Scherer and Janusz Starczewski and Adam Gawęda, New methods for uncertainty representations in neuro-fuzzy systems, Springer, Berlin, Heidelberg, 659-667, 2003, Cites: 3
A fuzzy relational system with linguistic antecedent certainty factors
Rafał Scherer and Leszek Rutkowski, A fuzzy relational system with linguistic antecedent certainty factors, Physica, Heidelberg, 563-569, 2003, Cites: 23
A hierarchical neuro-fuzzy system based on S-implications
R Nowicki and R Scherer and L Rutkowski, A hierarchical neuro-fuzzy system based on S-implications, IEEE, 321-325, 2003, Cites: 7

2002 (4)

A method for learning of hierarchical fuzzy systems
R Nowicki and R Scherer and L Rutkowski, A method for learning of hierarchical fuzzy systems, IOS Press, Amsterdam, 124-129, 2002, Cites: 23
Neuro-Fuzzy Relational Systems.
Rafal Scherer and Leszek Rutkowski, Neuro-Fuzzy Relational Systems., 44-48, 2002, Cites: 22
Relational equations initializing neuro-fuzzy system
R Scherer and L Rutkowski, Relational equations initializing neuro-fuzzy system, 18-22, 2002, Cites: 21
A neuro-fuzzy system based on the hierarchical prioritized structure
R Nowicki and R Scherer and L Rutkowski, A neuro-fuzzy system based on the hierarchical prioritized structure, 192-198, 2002, Cites: 5

2000 (1)

A survey of hierarchical fuzzy systems
R Scherer and L Rutkowski, A survey of hierarchical fuzzy systems, 6-10, 2000, Cites: 7

1996 (1)

Application of signal processor TMS320C30 to neural networks realisation
J Bilski and R Nowicki and R Scherer and S Litwiski, Application of signal processor TMS320C30 to neural networks realisation, 53-59, 1996, Cites: 5

Schedule