Andrzej W. Przybyszewski

According to our database, Andrzej W. Przybyszewski authored at least 67 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases.

Artur Chudzik, Albert Sledzianowski, Andrzej W. Przybyszewski

Sensors, March, 2024

2023

Machine Learning and Eye Movements Give Insights into Neurodegenerative Disease Mechanisms.

Andrzej W. Przybyszewski, Albert Sledzianowski, Artur Chudzik, Stanislaw Szlufik, Dariusz M. Koziorowski

Sensors, February, 2023

Universal Machine-Learning Processing Pattern for Computing in the Video-Oculography.

Albert Sledzianowski, Jerzy Pawel Nowacki, Konrad Sitarz, Andrzej W. Przybyszewski

Proceedings of the Computational Science - ICCS 2023, 2023

Multi-granular Computing Can Predict Prodromal Alzheimer's Disease Indications in Normal Subjects.

Andrzej W. Przybyszewski

Proceedings of the Computational Science - ICCS 2023, 2023

Granular Computing to Forecast Alzheimer's Disease Distinctive Individual Development.

Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik

Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

Investigating the Impact of Parkinson's Disease on Brain Computations: An Online Study of Healthy Controls and PD Patients.

Artur Chudzik, Aldona Drabik, Andrzej W. Przybyszewski

Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022

AI Classifications Applied to Neuropsychological Trials in Normal Individuals that Predict Progression to Cognitive Decline.

Andrzej W. Przybyszewski

Proceedings of the Computational Science - ICCS 2022, 2022

Detecting True and Declarative Facial Emotions by Changes in Nonlinear Dynamics of Eye Movements.

Albert Sledzianowski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski, Krzysztof Urbanowicz

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

Rough Set Rules (RSR) Predominantly Based on Cognitive Tests Can Predict Alzheimer's Related Dementia.

Andrzej W. Przybyszewski, Kamila Bojakowska, Jerzy Pawel Nowacki, Aldona Drabik

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021

Face emotional responses correlate with chaotic dynamics of eye movements.

Albert Sledzianowski, Krzysztof Urbanowicz, Wojciech Glac, Renata Slota, Maria Wojtowicz, Monika Nowak, Andrzej W. Przybyszewski

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Concept of Parkinson Leading to Understanding Mechanisms of the Disease.

Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski

Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

Theory of Mind Helps to Predict Neurodegenerative Processes in Parkinson's Disease.

Andrzej W. Przybyszewski

Proceedings of the Computational Science - ICCS 2021, 2021

2020

Parkinson's disease development prediction by c-granule computing compared to different AI methods.

Andrzej W. Przybyszewski, Albert Sledzianowski

J. Inf. Telecommun., 2020

Comparison of Different Data Mining Methods to Determine Disease Progression in Dissimilar Groups of Parkinson's Patients.

Andrzej W. Przybyszewski, Artur Chudzik, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski

Fundam. Informaticae, 2020

Combining Results of Different Oculometric Tests Improved Prediction of Parkinson's Disease Development.

Albert Sledzianowski, Artur Szymanski, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

IGrC: Cognitive and Motor Changes During Symptoms Development in Parkinson's Disease Patients.

Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

Eye-Tracking and Machine Learning Significance in Parkinson's Disease Symptoms Prediction.

Artur Chudzik, Artur Szymanski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019

SI: SCA Measures - Fuzzy rough set features of cognitive computations in the visual system.

Andrzej W. Przybyszewski

J. Intell. Fuzzy Syst., 2019

Parkinson's Disease Development Prediction by C-Granule Computing.

Andrzej W. Przybyszewski

Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

Measurements of Antisaccades Parameters Can Improve the Prediction of Parkinson's Disease Progression.

Albert Sledzianowski, Artur Szymanski, Aldona Drabik, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski

Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

Granular Computing (GC) Demonstrates Interactions Between Depression and Symptoms Development in Parkinson's Disease Patients.

Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski

Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

DTI Helps to Predict Parkinson's Patient's Symptoms Using Data Mining Techniques.

Artur Chudzik, Artur Szymanski, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski

Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

Multimodal Learning Determines Rules of Disease Development in Longitudinal Course with Parkinson's Patients.

Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski

Proceedings of the Intelligent Methods and Big Data in Industrial Applications., 2019

2018

Fuzzy RST and RST Rules Can Predict Effects of Different Therapies in Parkinson's Disease Patients.

Andrzej W. Przybyszewski

Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

Rules Determine Therapy-Dependent Relationship in Symptoms Development of Parkinson's Disease Patients.

Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski

Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017

Webcam-based system for video-oculography.

Jacek Naruniec, Michal Wieczorek, Stanislaw Szlufik, Dariusz M. Koziorowski, Michal Tomaszewski, Marek Kowalski, Andrzej W. Przybyszewski

IET Comput. Vis., 2017

Theory of Mind and Empathy. Part I - Model of Social Emotional Thinking.

Andrzej W. Przybyszewski, Lech T. Polkowski

Fundam. Informaticae, 2017

Rough Set Rules Determine Disease Progressions in Different Groups of Parkinson's Patients.

Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Building Classifiers for Parkinson's Disease Using New Eye Tribe Tracking Method.

Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski, Andrzej W. Przybyszewski

Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

Rules Found by Multimodal Learning in One Group of Patients Help to Determine Optimal Treatment to Other Group of Parkinson's Patients.

Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski

Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

2016

Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients.

Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Artur Szymanski, Piotr Habela, Dariusz M. Koziorowski

Sensors, 2016

Building Intelligent Classifiers for Doctor-Independent Parkinson's Disease Treatments.

Artur Szymanski, Stanislaw Szlufik, Dariusz M. Koziorowski, Piotr Habela, Andrzej W. Przybyszewski

Proceedings of the Information Technologies in Medicine - 5th International Conference, 2016

2015

Fuzzy Rough Sets Theory Applied to Parameters of Eye Movements Can Help to Predict Effects of Different Treatments in Parkinson's Patients.

Anna Kubis, Artur Szymanski, Andrzej W. Przybyszewski

Proceedings of the Pattern Recognition and Machine Intelligence, 2015

Frequency Based Mapping of the STN Borders.

Konrad A. Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski

Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

Data mining using SPECT can predict neurological symptom development in Parkinson's patients.

Artur Szymanski, Stanislaw Szlufik, Justyna Dutkiewicz, Dariusz M. Koziorowski, Marek Cacko, Michal Nieniecki, Andrzej W. Przybyszewski

Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

Machine Learning on the Video Basis of Slow Pursuit Eye Movements Can Predict Symptom Development in Parkinson's Patients.

Andrzej W. Przybyszewski, Stanislaw Szlufik, Justyna Dutkiewicz, Piotr Habela, Dariusz M. Koziorowski

Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

Expert Group Collaboration Tool for Collective Diagnosis of Parkinson Disease.

Marek Kulbacki, Jerzy Pawel Nowacki, Andrzej W. Przybyszewski, Jakub Segen, Magdalena Lahor, Bartosz Jablonski, Marzena Wojciechowska

Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

2014

Foundations of automatic system for intrasurgical localization of subthalamic nucleus in Parkinson patients.

Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski

Web Intell. Agent Syst., 2014

Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson's Patients.

Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Justyna Dutkiewicz, Piotr Habela, Dariusz M. Koziorowski

Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

Spike Sorting Based upon PCA over DWT Frequency Band Selection.

Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski

Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Rough Set Rules Help to Optimize Parameters of Deep Brain Stimulation in Parkinson's Patients.

Artur Szymanski, Andrzej W. Przybyszewski

Proceedings of the Brain Informatics and Health - International Conference, 2014

Intraoperative Decision Making with Rough Set Rules for STN DBS in Parkinson Disease.

Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski

Proceedings of the Brain Informatics and Health - International Conference, 2014

Rough Set Based Classifications of Parkinson's Patients Gaits.

Andrzej W. Przybyszewski, Magdalena Boczarska-Jedynak, Stanislaw Kwiek, Konrad W. Wojciechowski

Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

2013

DCworms - A tool for simulation of energy efficiency in distributed computing infrastructures.

Krzysztof Kurowski, Ariel Oleksiak, Wojciech Piatek, Tomasz Piontek, Andrzej W. Przybyszewski, Jan Weglarz

Simul. Model. Pract. Theory, 2013

Discrimination of the Micro Electrode Recordings for STN Localization during DBS Surgery in Parkinson's Patients.

Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski

Proceedings of the Flexible Query Answering Systems - 10th International Conference, 2013

2012

Foundations of Recommender System for STN Localization during DBS Surgery in Parkinson's Patients.

Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski

Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

A System for Analysis of Tremor in Patients with Parkinson's Disease Based on Motion Capture Technique.

Magdalena Stawarz, Andrzej Polanski, Stanislaw Kwiek, Magdalena Boczarska-Jedynak, Lukasz Janik, Andrzej W. Przybyszewski, Konrad W. Wojciechowski

Proceedings of the Computer Vision and Graphics - International Conference, 2012

2011

Selection of the Optimal Microelectrode during DBS Surgery in Parkinson's Patients.

Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski

Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

2010

Emd Approach to Multichannel EEG Data - the amplitude and Phase Components Clustering Analysis.

Tomasz M. Rutkowski, Danilo P. Mandic, Andrzej Cichocki, Andrzej W. Przybyszewski

J. Circuits Syst. Comput., 2010

Logical rules of visual brain: From anatomy through neurophysiology to cognition.

Andrzej W. Przybyszewski

Cogn. Syst. Res., 2010

2009

Neurological Foundation of Image Processing.

Andrzej W. Przybyszewski

Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009

2008

The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory.

Andrzej W. Przybyszewski

Trans. Rough Sets, 2008

Interactions between Rough Parts in Object Perception.

Andrzej W. Przybyszewski

Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique.

Tomasz M. Rutkowski, Danilo P. Mandic, Andrzej Cichocki, Andrzej W. Przybyszewski

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

Decision Making Logic of Visual Brain.

Andrzej W. Przybyszewski

Proceedings of the Artificial Neural Networks, 2008

Brain-Like Approximate Reasoning.

Andrzej W. Przybyszewski

Proceedings of the Visions of Computer Science, 2008

2007

Basic Difference Between Brain and Computer: Integration of Asynchronous Processes Implemented as Hardware Model of the Retina.

Andrzej W. Przybyszewski, Paul S. Linsay, Paolo Gaudiano, Christopher M. Wilson

IEEE Trans. Neural Networks, 2007

Checking Brain Expertise Using Rough Set Theory.

Andrzej W. Przybyszewski

Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

Rough Set Theory of Pattern Classification in the Brain.

Andrzej W. Przybyszewski

Proceedings of the Pattern Recognition and Machine Intelligence, 2007

Rough Set Theory of Shape Perception.

Andrzej W. Przybyszewski

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

2005

Machine Learning and Statistical MAP Methods.

Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski

Proceedings of the Intelligent Information Processing and Web Mining, 2005

Statistical Likelihood Representations of Prior Knowledge in Machine Learning.

Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2000

Brain Differently Changes its Algorithms in Parallel Processing of Visual Information.

Andrzej W. Przybyszewski, Daniel A. Pollen

Proceedings of the Intelligent Information Systems, 2000

1998

Spatial asymmetries in cat retinal ganglion cell responses.

Paolo Gaudiano, Andrzej W. Przybyszewski, Richard J. A. van Wezel, Wim A. van de Grind

Biol. Cybern., 1998

1997

Overview of Otto-Joachim Grüsser's work.

Andrzej W. Przybyszewski

Biol. Cybern., 1997

Otto-Joachim Grüsser 1932-1995.

Andrzej W. Przybyszewski

Biol. Cybern., 1997

1996

On the complex dynamics of intracellular ganglion cell light responses in the cat retina.

Andrzej W. Przybyszewski, M. J. M. Lankheet, Wim A. van de Grind

Biol. Cybern., 1996