Andrzej W. Przybyszewski

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 32

Top Topics

Granular Computing

Rough Sets Theory

Top Venues

Publications

Artur Chudzik, Albert Sledzianowski, Andrzej W. Przybyszewski
Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases. Sensors 24 (5) (2024)
Andrzej W. Przybyszewski
Multi-granular Computing Can Predict Prodromal Alzheimer's Disease Indications in Normal Subjects. ICCS (3) (2023)
Albert Sledzianowski, Jerzy Pawel Nowacki, Konrad Sitarz, Andrzej W. Przybyszewski
Universal Machine-Learning Processing Pattern for Computing in the Video-Oculography. ICCS (3) (2023)
Andrzej W. Przybyszewski, Albert Sledzianowski, Artur Chudzik, Stanislaw Szlufik, Dariusz M. Koziorowski
Machine Learning and Eye Movements Give Insights into Neurodegenerative Disease Mechanisms. Sensors 23 (4) (2023)
Artur Chudzik, Aldona Drabik, Andrzej W. Przybyszewski
Investigating the Impact of Parkinson's Disease on Brain Computations: An Online Study of Healthy Controls and PD Patients. ACIIDS (2) (2023)
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik
Granular Computing to Forecast Alzheimer's Disease Distinctive Individual Development. ACIIDS (1) (2023)
Albert Sledzianowski, Jerzy Pawel Nowacki, Konrad Sitarz, Andrzej W. Przybyszewski
Novel Machine Learning Pipeline for Real-Time Oculometry. ACIIDS (Companion) (2023)
Andrzej W. Przybyszewski
AI Classifications Applied to Neuropsychological Trials in Normal Individuals that Predict Progression to Cognitive Decline. ICCS (3) (2022)
Andrzej W. Przybyszewski, Kamila Bojakowska, Jerzy Pawel Nowacki, Aldona Drabik
Rough Set Rules (RSR) Predominantly Based on Cognitive Tests Can Predict Alzheimer's Related Dementia. ACIIDS (1) (2022)
Albert Sledzianowski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski, Krzysztof Urbanowicz
Detecting True and Declarative Facial Emotions by Changes in Nonlinear Dynamics of Eye Movements. ACIIDS (1) (2022)
Andrzej W. Przybyszewski
Theory of Mind Helps to Predict Neurodegenerative Processes in Parkinson's Disease. ICCS (3) (2021)
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski
Concept of Parkinson Leading to Understanding Mechanisms of the Disease. ICCCI (2021)
Albert Sledzianowski, Krzysztof Urbanowicz, Wojciech Glac, Renata Slota, Maria Wojtowicz, Monika Nowak, Andrzej W. Przybyszewski
Face emotional responses correlate with chaotic dynamics of eye movements. KES (2021)
Artur Chudzik, Artur Szymanski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski
Eye-Tracking and Machine Learning Significance in Parkinson's Disease Symptoms Prediction. ACIIDS (2) (2020)
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski
IGrC: Cognitive and Motor Changes During Symptoms Development in Parkinson's Disease Patients. ACIIDS (2) (2020)
Albert Sledzianowski, Artur Szymanski, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski
Combining Results of Different Oculometric Tests Improved Prediction of Parkinson's Disease Development. ACIIDS (2) (2020)
Andrzej W. Przybyszewski, Artur Chudzik, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
Comparison of Different Data Mining Methods to Determine Disease Progression in Dissimilar Groups of Parkinson's Patients. Fundam. Informaticae 176 (2) (2020)
Andrzej W. Przybyszewski, Albert Sledzianowski
Parkinson's disease development prediction by c-granule computing compared to different AI methods. J. Inf. Telecommun. 4 (4) (2020)
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
Granular Computing (GC) Demonstrates Interactions Between Depression and Symptoms Development in Parkinson's Disease Patients. ACIIDS (2) (2019)
Artur Chudzik, Artur Szymanski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski
DTI Helps to Predict Parkinson's Patient's Symptoms Using Data Mining Techniques. ACIIDS (2) (2019)
Andrzej W. Przybyszewski
SI: SCA Measures - Fuzzy rough set features of cognitive computations in the visual system. J. Intell. Fuzzy Syst. 36 (4) (2019)
Albert Sledzianowski, Artur Szymanski, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski
Measurements of Antisaccades Parameters Can Improve the Prediction of Parkinson's Disease Progression. ACIIDS (2) (2019)
Andrzej W. Przybyszewski
Parkinson's Disease Development Prediction by C-Granule Computing. ICCCI (1) (2019)
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
Rules Determine Therapy-Dependent Relationship in Symptoms Development of Parkinson's Disease Patients. ACIIDS (2) (2018)
Andrzej W. Przybyszewski
Fuzzy RST and RST Rules Can Predict Effects of Different Therapies in Parkinson's Disease Patients. ISMIS (2018)
Jacek Naruniec, Michal Wieczorek, Stanislaw Szlufik, Dariusz M. Koziorowski, Michal Tomaszewski, Marek Kowalski, Andrzej W. Przybyszewski
Webcam-based system for video-oculography. IET Comput. Vis. 11 (2) (2017)
Andrzej W. Przybyszewski, Lech T. Polkowski
Theory of Mind and Empathy. Part I - Model of Social Emotional Thinking. Fundam. Informaticae 150 (2) (2017)
Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski
Building Classifiers for Parkinson's Disease Using New Eye Tribe Tracking Method. ACIIDS (2) (2017)
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
Rules Found by Multimodal Learning in One Group of Patients Help to Determine Optimal Treatment to Other Group of Parkinson's Patients. ACIIDS (2) (2017)
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
Rough Set Rules Determine Disease Progressions in Different Groups of Parkinson's Patients. PReMI (2017)
Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Artur Szymanski, Piotr Habela, Dariusz M. Koziorowski
Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients. Sensors 16 (9) (2016)
Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski, Piotr Habela, Andrzej W. Przybyszewski
Building Intelligent Classifiers for Doctor-Independent Parkinson's Disease Treatments. ITIB (1) (2016)
Artur Szymanski, Stanislaw Szlufik, Justyna Dutkiewicz, Dariusz M. Koziorowski, Marek Cacko, Michal Nieniecki, Andrzej W. Przybyszewski
Data mining using SPECT can predict neurological symptom development in Parkinson's patients. CYBCONF (2015)
Andrzej W. Przybyszewski, Stanislaw Szlufik, Justyna Dutkiewicz, Piotr Habela, Dariusz M. Koziorowski
Machine Learning on the Video Basis of Slow Pursuit Eye Movements Can Predict Symptom Development in Parkinson's Patients. ACIIDS (2) (2015)
Konrad A. Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski
Frequency Based Mapping of the STN Borders. ISMIS (2015)
Marek Kulbacki, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski, Jakub Segen, Magdalena Lahor, Bartosz Jablonski, Marzena Wojciechowska
Expert Group Collaboration Tool for Collective Diagnosis of Parkinson Disease. ACIIDS (2) (2015)
Anna Kubis, Artur Szymanski, Andrzej W. Przybyszewski
Fuzzy Rough Sets Theory Applied to Parameters of Eye Movements Can Help to Predict Effects of Different Treatments in Parkinson's Patients. PReMI (2015)
Artur Szymanski, Andrzej W. Przybyszewski
Rough Set Rules Help to Optimize Parameters of Deep Brain Stimulation in Parkinson's Patients. Brain Informatics and Health (2014)
Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski
Intraoperative Decision Making with Rough Set Rules for STN DBS in Parkinson Disease. Brain Informatics and Health (2014)
Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski
Foundations of automatic system for intrasurgical localization of subthalamic nucleus in Parkinson patients. Web Intell. Agent Syst. 12 (1) (2014)
Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Justyna Dutkiewicz, Piotr Habela, Dariusz M. Koziorowski
Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson's Patients. MICAI (2) (2014)
Andrzej W. Przybyszewski, Magdalena Boczarska-Jedynak, Stanislaw Kwiek, Konrad W. Wojciechowski
Rough Set Based Classifications of Parkinson's Patients Gaits. ACIIDS (2) (2014)
Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski
Spike Sorting Based upon PCA over DWT Frequency Band Selection. ISMIS (2014)
Krzysztof Kurowski, Ariel Oleksiak, Wojciech Piatek, Tomasz Piontek, Andrzej W. Przybyszewski, Jan Weglarz
DCworms - A tool for simulation of energy efficiency in distributed computing infrastructures. Simul. Model. Pract. Theory 39 (2013)
Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski
Discrimination of the Micro Electrode Recordings for STN Localization during DBS Surgery in Parkinson's Patients. FQAS (2013)
Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski
Foundations of Recommender System for STN Localization during DBS Surgery in Parkinson's Patients. ISMIS (2012)
Magdalena Stawarz, Andrzej Polanski, Stanislaw Kwiek, Magdalena Boczarska-Jedynak, Lukasz Janik, Andrzej W. Przybyszewski, Konrad W. Wojciechowski
A System for Analysis of Tremor in Patients with Parkinson's Disease Based on Motion Capture Technique. ICCVG (2012)
Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski
Selection of the Optimal Microelectrode during DBS Surgery in Parkinson's Patients. ISMIS (2011)
Andrzej W. Przybyszewski
Logical rules of visual brain: From anatomy through neurophysiology to cognition. Cogn. Syst. Res. 11 (1) (2010)
Tomasz M. Rutkowski, Danilo P. Mandic, Andrzej Cichocki, Andrzej W. Przybyszewski
Emd Approach to Multichannel EEG Data - the amplitude and Phase Components Clustering Analysis. J. Circuits Syst. Comput. 19 (1) (2010)
Andrzej W. Przybyszewski
Neurological Foundation of Image Processing. ICAPR (2009)
Andrzej W. Przybyszewski
Brain-Like Approximate Reasoning. BCS Int. Acad. Conf. (2008)
Andrzej W. Przybyszewski
Decision Making Logic of Visual Brain. ICANN (2) (2008)
Tomasz M. Rutkowski, Danilo P. Mandic, Andrzej Cichocki, Andrzej W. Przybyszewski
EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique. ICIC (1) (2008)
Andrzej W. Przybyszewski
Interactions between Rough Parts in Object Perception. ISMIS (2008)
Andrzej W. Przybyszewski
The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory. Trans. Rough Sets 9 (2008)
Andrzej W. Przybyszewski, Paul S. Linsay, Paolo Gaudiano, Christopher M. Wilson
Basic Difference Between Brain and Computer: Integration of Asynchronous Processes Implemented as Hardware Model of the Retina. IEEE Trans. Neural Networks 18 (1) (2007)
Andrzej W. Przybyszewski
Rough Set Theory of Pattern Classification in the Brain. PReMI (2007)
Andrzej W. Przybyszewski
Rough Set Theory of Shape Perception. ICIC (2) (2007)
Andrzej W. Przybyszewski
Checking Brain Expertise Using Rough Set Theory. RSEISP (2007)
Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski
Machine Learning and Statistical MAP Methods. Intelligent Information Systems (2005)
Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski
Statistical Likelihood Representations of Prior Knowledge in Machine Learning. Artificial Intelligence and Applications (2005)
Andrzej W. Przybyszewski, Daniel A. Pollen
Brain Differently Changes its Algorithms in Parallel Processing of Visual Information. Intelligent Information Systems (2000)
Paolo Gaudiano, Andrzej W. Przybyszewski, Richard J. A. van Wezel, Wim A. van de Grind
Spatial asymmetries in cat retinal ganglion cell responses. Biol. Cybern. 79 (2) (1998)
Andrzej W. Przybyszewski
Overview of Otto-Joachim Grüsser's work. Biol. Cybern. 76 (5) (1997)
Andrzej W. Przybyszewski
Otto-Joachim Grüsser 1932-1995. Biol. Cybern. 76 (5) (1997)
Andrzej W. Przybyszewski, M. J. M. Lankheet, Wim A. van de Grind
On the complex dynamics of intracellular ganglion cell light responses in the cat retina. Biol. Cybern. 74 (4) (1996)