Andrzej W. Przybyszewski

70 papers B 2C 7Misc 1Journal 18Unranked 41
YearRankTypeTitle / Venue / Authors
2024 J jnl
Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases.
Sensors
Artur Chudzik, Albert Sledzianowski, Andrzej W. Przybyszewski
2024 — conf
Pattern Classification Can Detect Prodromal Alzheimer's Neurodegenerations.
ICPR (Workshops and Challenges, 2)
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik
2024 — conf
Recognizing Patterns of Parkinson's Disease Using Online Trail Making Test and Response Dynamics - Preliminary Study.
ICPR (2)
Artur Chudzik, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski
2023 — conf
Granular Computing to Forecast Alzheimer's Disease Distinctive Individual Development.
ACIIDS (1)
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik
2023 — conf
Investigating the Impact of Parkinson's Disease on Brain Computations: An Online Study of Healthy Controls and PD Patients.
ACIIDS (2)
Artur Chudzik, Aldona Drabik, Andrzej W. Przybyszewski
2023 J jnl
Machine Learning and Eye Movements Give Insights into Neurodegenerative Disease Mechanisms.
Sensors
Andrzej W. Przybyszewski, Albert Sledzianowski, Artur Chudzik, Stanislaw Szlufik, Dariusz M. Koziorowski
2023 — conf
Multi-granular Computing Can Predict Prodromal Alzheimer's Disease Indications in Normal Subjects.
ICCS (3)
Andrzej W. Przybyszewski
2023 — conf
Novel Machine Learning Pipeline for Real-Time Oculometry.
ACIIDS (Companion)
Albert Sledzianowski, Jerzy Pawel Nowacki, Konrad Sitarz, Andrzej W. Przybyszewski
2023 — conf
Universal Machine-Learning Processing Pattern for Computing in the Video-Oculography.
ICCS (3)
Albert Sledzianowski, Jerzy Pawel Nowacki, Konrad Sitarz, Andrzej W. Przybyszewski
2022 — conf
AI Classifications Applied to Neuropsychological Trials in Normal Individuals that Predict Progression to Cognitive Decline.
ICCS (3)
Andrzej W. Przybyszewski
2022 — conf
Detecting True and Declarative Facial Emotions by Changes in Nonlinear Dynamics of Eye Movements.
ACIIDS (1)
Albert Sledzianowski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski, Krzysztof Urbanowicz
2022 — conf
Rough Set Rules (RSR) Predominantly Based on Cognitive Tests Can Predict Alzheimer's Related Dementia.
ACIIDS (1)
Andrzej W. Przybyszewski, Kamila Bojakowska, Jerzy Pawel Nowacki, Aldona Drabik
2021 B conf
Concept of Parkinson Leading to Understanding Mechanisms of the Disease.
ICCCI
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski
2021 B conf
Face emotional responses correlate with chaotic dynamics of eye movements.
KES
Albert Sledzianowski, Krzysztof Urbanowicz, Wojciech Glac, Renata Slota, Maria Wojtowicz, Monika Nowak, Andrzej W. Przybyszewski
2021 — conf
Theory of Mind Helps to Predict Neurodegenerative Processes in Parkinson's Disease.
ICCS (3)
Andrzej W. Przybyszewski
2020 — conf
Combining Results of Different Oculometric Tests Improved Prediction of Parkinson's Disease Development.
ACIIDS (2)
Albert Sledzianowski, Artur Szymanski, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski
2020 J jnl
Comparison of Different Data Mining Methods to Determine Disease Progression in Dissimilar Groups of Parkinson's Patients.
Fundam. Informaticae
Andrzej W. Przybyszewski, Artur Chudzik, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
2020 — conf
Eye-Tracking and Machine Learning Significance in Parkinson's Disease Symptoms Prediction.
ACIIDS (2)
Artur Chudzik, Artur Szymanski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski
2020 — conf
IGrC: Cognitive and Motor Changes During Symptoms Development in Parkinson's Disease Patients.
ACIIDS (2)
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski
2020 J jnl
Parkinson's disease development prediction by c-granule computing compared to different AI methods.
J. Inf. Telecommun.
Andrzej W. Przybyszewski, Albert Sledzianowski
2019 — conf
DTI Helps to Predict Parkinson's Patient's Symptoms Using Data Mining Techniques.
ACIIDS (2)
Artur Chudzik, Artur Szymanski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski
2019 — conf
Granular Computing (GC) Demonstrates Interactions Between Depression and Symptoms Development in Parkinson's Disease Patients.
ACIIDS (2)
Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
2019 — conf
Measurements of Antisaccades Parameters Can Improve the Prediction of Parkinson's Disease Progression.
ACIIDS (2)
Albert Sledzianowski, Artur Szymanski, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski
2019 — ch.
Multimodal Learning Determines Rules of Disease Development in Longitudinal Course with Parkinson's Patients.
Intelligent Methods and Big Data in Industrial Applications
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
2019 — conf
Parkinson's Disease Development Prediction by C-Granule Computing.
ICCCI (1)
Andrzej W. Przybyszewski
2019 J jnl
SI: SCA Measures - Fuzzy rough set features of cognitive computations in the visual system.
J. Intell. Fuzzy Syst.
Andrzej W. Przybyszewski
2018 C conf
Fuzzy RST and RST Rules Can Predict Effects of Different Therapies in Parkinson's Disease Patients.
ISMIS
Andrzej W. Przybyszewski
2018 — conf
Rules Determine Therapy-Dependent Relationship in Symptoms Development of Parkinson's Disease Patients.
ACIIDS (2)
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
2017 — conf
Building Classifiers for Parkinson's Disease Using New Eye Tribe Tracking Method.
ACIIDS (2)
Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski
2017 — conf
Rough Set Rules Determine Disease Progressions in Different Groups of Parkinson's Patients.
PReMI
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
2017 — conf
Rules Found by Multimodal Learning in One Group of Patients Help to Determine Optimal Treatment to Other Group of Parkinson's Patients.
ACIIDS (2)
Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski
2017 J jnl
Theory of Mind and Empathy. Part I - Model of Social Emotional Thinking.
Fundam. Informaticae
Andrzej W. Przybyszewski, Lech T. Polkowski
2017 J jnl
Webcam-based system for video-oculography.
IET Comput. Vis.
Jacek Naruniec, Michal Wieczorek, Stanislaw Szlufik, Dariusz M. Koziorowski, Michal Tomaszewski, Marek Kowalski, Andrzej W. Przybyszewski
2016 — conf
Building Intelligent Classifiers for Doctor-Independent Parkinson's Disease Treatments.
ITIB (1)
Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski, Piotr Habela, Andrzej W. Przybyszewski
2016 J jnl
Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients.
Sensors
Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Artur Szymanski, Piotr Habela, Dariusz M. Koziorowski
2015 — conf
Data mining using SPECT can predict neurological symptom development in Parkinson's patients.
CYBCONF
Artur Szymanski, Stanislaw Szlufik, Justyna Dutkiewicz, Dariusz M. Koziorowski, Marek Cacko, Michal Nieniecki, Andrzej W. Przybyszewski
2015 — conf
Expert Group Collaboration Tool for Collective Diagnosis of Parkinson Disease.
ACIIDS (2)
Marek Kulbacki, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski, Jakub Segen, Magdalena Lahor, Bartosz Jablonski, Marzena Wojciechowska
2015 C conf
Frequency Based Mapping of the STN Borders.
ISMIS
Konrad A. Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski
2015 — conf
Fuzzy Rough Sets Theory Applied to Parameters of Eye Movements Can Help to Predict Effects of Different Treatments in Parkinson's Patients.
PReMI
Anna Kubis, Artur Szymanski, Andrzej W. Przybyszewski
2015 — conf
Machine Learning on the Video Basis of Slow Pursuit Eye Movements Can Predict Symptom Development in Parkinson's Patients.
ACIIDS (2)
Andrzej W. Przybyszewski, Stanislaw Szlufik, Justyna Dutkiewicz, Piotr Habela, Dariusz M. Koziorowski
2014 — conf
Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson's Patients.
MICAI (2)
Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Justyna Dutkiewicz, Piotr Habela, Dariusz M. Koziorowski
2014 J jnl
Foundations of automatic system for intrasurgical localization of subthalamic nucleus in Parkinson patients.
Web Intell. Agent Syst.
Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski
2014 — conf
Intraoperative Decision Making with Rough Set Rules for STN DBS in Parkinson Disease.
Brain Informatics and Health
Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski
2014 — conf
Rough Set Based Classifications of Parkinson's Patients Gaits.
ACIIDS (2)
Andrzej W. Przybyszewski, Magdalena Boczarska-Jedynak, Stanislaw Kwiek, Konrad W. Wojciechowski
2014 — conf
Rough Set Rules Help to Optimize Parameters of Deep Brain Stimulation in Parkinson's Patients.
Brain Informatics and Health
Artur Szymanski, Andrzej W. Przybyszewski
2014 C conf
Spike Sorting Based upon PCA over DWT Frequency Band Selection.
ISMIS
Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski
2013 J jnl
DCworms - A tool for simulation of energy efficiency in distributed computing infrastructures.
Simul. Model. Pract. Theory
Krzysztof Kurowski, Ariel Oleksiak, Wojciech Piatek, Tomasz Piontek, Andrzej W. Przybyszewski, Jan Weglarz
2013 C conf
Discrimination of the Micro Electrode Recordings for STN Localization during DBS Surgery in Parkinson's Patients.
FQAS
Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski
2012 Misc conf
A System for Analysis of Tremor in Patients with Parkinson's Disease Based on Motion Capture Technique.
ICCVG
Magdalena Stawarz, Andrzej Polanski, Stanislaw Kwiek, Magdalena Boczarska-Jedynak, Lukasz Janik, Andrzej W. Przybyszewski, Konrad W. Wojciechowski
2012 C conf
Foundations of Recommender System for STN Localization during DBS Surgery in Parkinson's Patients.
ISMIS
Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski
2011 C conf
Selection of the Optimal Microelectrode during DBS Surgery in Parkinson's Patients.
ISMIS
Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski
2010 J jnl
Emd Approach to Multichannel EEG Data - the amplitude and Phase Components Clustering Analysis.
J. Circuits Syst. Comput.
Tomasz M. Rutkowski, Danilo P. Mandic, Andrzej Cichocki, Andrzej W. Przybyszewski
2010 J jnl
Logical rules of visual brain: From anatomy through neurophysiology to cognition.
Cogn. Syst. Res.
Andrzej W. Przybyszewski
2009 — conf
Neurological Foundation of Image Processing.
ICAPR
Andrzej W. Przybyszewski
2008 — conf
Brain-Like Approximate Reasoning.
BCS Int. Acad. Conf.
Andrzej W. Przybyszewski
2008 — conf
Decision Making Logic of Visual Brain.
ICANN (2)
Andrzej W. Przybyszewski
2008 — conf
EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique.
ICIC (1)
Tomasz M. Rutkowski, Danilo P. Mandic, Andrzej Cichocki, Andrzej W. Przybyszewski
2008 C conf
Interactions between Rough Parts in Object Perception.
ISMIS
Andrzej W. Przybyszewski
2008 J jnl
The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory.
Trans. Rough Sets
Andrzej W. Przybyszewski
2007 J jnl
Basic Difference Between Brain and Computer: Integration of Asynchronous Processes Implemented as Hardware Model of the Retina.
IEEE Trans. Neural Networks
Andrzej W. Przybyszewski, Paul S. Linsay, Paolo Gaudiano, Christopher M. Wilson
2007 — conf
Checking Brain Expertise Using Rough Set Theory.
RSEISP
Andrzej W. Przybyszewski
2007 — conf
Rough Set Theory of Pattern Classification in the Brain.
PReMI
Andrzej W. Przybyszewski
2007 — conf
Rough Set Theory of Shape Perception.
ICIC (2)
Andrzej W. Przybyszewski
2005 — conf
Machine Learning and Statistical MAP Methods.
Intelligent Information Systems
Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski
2005 — conf
Statistical Likelihood Representations of Prior Knowledge in Machine Learning.
Artificial Intelligence and Applications
Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski
2000 — conf
Brain Differently Changes its Algorithms in Parallel Processing of Visual Information.
Intelligent Information Systems
Andrzej W. Przybyszewski, Daniel A. Pollen
1998 J jnl
Spatial asymmetries in cat retinal ganglion cell responses.
Biol. Cybern.
Paolo Gaudiano, Andrzej W. Przybyszewski, Richard J. A. van Wezel, Wim A. van de Grind
1997 J jnl
Otto-Joachim Grüsser 1932-1995.
Biol. Cybern.
Andrzej W. Przybyszewski
1997 J jnl
Overview of Otto-Joachim Grüsser's work.
Biol. Cybern.
Andrzej W. Przybyszewski
1996 J jnl
On the complex dynamics of intracellular ganglion cell light responses in the cat retina.
Biol. Cybern.
Andrzej W. Przybyszewski, M. J. M. Lankheet, Wim A. van de Grind