default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAndrzej W. Przybyszewski
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j18]Artur Chudzik
, Albert Sledzianowski, Andrzej W. Przybyszewski:
Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases. Sensors 24(5): 1572 (2024)- 2023
- [j17]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): 2145 (2023) - [c49]Andrzej W. Przybyszewski, Jerzy Pawel Nowacki, Aldona Drabik:
Granular Computing to Forecast Alzheimer's Disease Distinctive Individual Development. ACIIDS (1) 2023: 70-81 - [c48]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: 235-246 - [c47]Albert Sledzianowski, Jerzy Pawel Nowacki, Konrad Sitarz, Andrzej W. Przybyszewski:
Novel Machine Learning Pipeline for Real-Time Oculometry. ACIIDS (Companion) 2023: 498-509 - [c46]Albert Sledzianowski, Jerzy Pawel Nowacki, Konrad Sitarz, Andrzej W. Przybyszewski:
Universal Machine-Learning Processing Pattern for Computing in the Video-Oculography. ICCS (3) 2023: 200-212 - [c45]Andrzej W. Przybyszewski:
Multi-granular Computing Can Predict Prodromal Alzheimer's Disease Indications in Normal Subjects. ICCS (3) 2023: 278-285 - 2022
- [c44]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: 106-116 - [c43]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: 129-141 - [c42]Andrzej W. Przybyszewski:
AI Classifications Applied to Neuropsychological Trials in Normal Individuals that Predict Progression to Cognitive Decline. ICCS (3) 2022: 150-156 - 2021
- [c41]Andrzej W. Przybyszewski:
Theory of Mind Helps to Predict Neurodegenerative Processes in Parkinson's Disease. ICCS (3) 2021: 542-555 - [c40]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: 456-466 - [c39]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: 2881-2892 - 2020
- [j16]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): 167-181 (2020) - [j15]Andrzej W. Przybyszewski, Albert Sledzianowski:
Parkinson's disease development prediction by c-granule computing compared to different AI methods. J. Inf. Telecommun. 4(4): 425-439 (2020) - [c38]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: 517-526 - [c37]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: 537-547 - [c36]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: 548-559
2010 – 2019
- 2019
- [j14]Andrzej W. Przybyszewski:
SI: SCA Measures - Fuzzy rough set features of cognitive computations in the visual system. J. Intell. Fuzzy Syst. 36(4): 3155-3167 (2019) - [c35]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: 591-601 - [c34]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: 602-614 - [c33]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: 615-623 - [c32]Andrzej W. Przybyszewski:
Parkinson's Disease Development Prediction by C-Granule Computing. ICCCI (1) 2019: 296-306 - [p1]Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski:
Multimodal Learning Determines Rules of Disease Development in Longitudinal Course with Parkinson's Patients. Intelligent Methods and Big Data in Industrial Applications 2019: 235-246 - 2018
- [c31]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: 436-445 - [c30]Andrzej W. Przybyszewski:
Fuzzy RST and RST Rules Can Predict Effects of Different Therapies in Parkinson's Disease Patients. ISMIS 2018: 409-416 - 2017
- [j13]Andrzej W. Przybyszewski, Lech T. Polkowski:
Theory of Mind and Empathy. Part I - Model of Social Emotional Thinking. Fundam. Informaticae 150(2): 221-230 (2017) - [j12]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): 173-180 (2017) - [c29]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: 351-358 - [c28]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: 359-367 - [c27]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: 270-275 - 2016
- [j11]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): 1498 (2016) - [c26]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: 267-276 - 2015
- [c25]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: 248-257 - [c24]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: 268-276 - [c23]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: 218-223 - [c22]Konrad A. Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski:
Frequency Based Mapping of the STN Borders. ISMIS 2015: 386-395 - [c21]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: 325-334 - 2014
- [j10]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): 63-82 (2014) - [c20]Andrzej W. Przybyszewski, Magdalena Boczarska-Jedynak, Stanislaw Kwiek, Konrad W. Wojciechowski:
Rough Set Based Classifications of Parkinson's Patients Gaits. ACIIDS (2) 2014: 525-534 - [c19]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: 323-334 - [c18]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: 345-356 - [c17]Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski:
Spike Sorting Based upon PCA over DWT Frequency Band Selection. ISMIS 2014: 154-163 - [c16]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: 499-509 - 2013
- [j9]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: 135-151 (2013) - [c15]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: 328-339 - 2012
- [c14]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: 618-625 - [c13]Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski:
Foundations of Recommender System for STN Localization during DBS Surgery in Parkinson's Patients. ISMIS 2012: 234-243 - 2011
- [c12]Konrad Ciecierski, Zbigniew W. Ras, Andrzej W. Przybyszewski:
Selection of the Optimal Microelectrode during DBS Surgery in Parkinson's Patients. ISMIS 2011: 554-564 - 2010
- [j8]Andrzej W. Przybyszewski:
Logical rules of visual brain: From anatomy through neurophysiology to cognition. Cogn. Syst. Res. 11(1): 53-66 (2010) - [j7]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): 215-229 (2010)
2000 – 2009
- 2009
- [c11]Andrzej W. Przybyszewski:
Neurological Foundation of Image Processing. ICAPR 2009: 141-144 - 2008
- [j6]Andrzej W. Przybyszewski:
The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory. Trans. Rough Sets 9: 287-317 (2008) - [c10]Andrzej W. Przybyszewski:
Brain-Like Approximate Reasoning. BCS Int. Acad. Conf. 2008: 15-28 - [c9]Andrzej W. Przybyszewski:
Decision Making Logic of Visual Brain. ICANN (2) 2008: 423-432 - [c8]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: 122-129 - [c7]Andrzej W. Przybyszewski:
Interactions between Rough Parts in Object Perception. ISMIS 2008: 236-245 - 2007
- [j5]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): 70-85 (2007) - [c6]Andrzej W. Przybyszewski:
Rough Set Theory of Shape Perception. ICIC (2) 2007: 738-749 - [c5]Andrzej W. Przybyszewski:
Rough Set Theory of Pattern Classification in the Brain. PReMI 2007: 295-303 - [c4]Andrzej W. Przybyszewski:
Checking Brain Expertise Using Rough Set Theory. RSEISP 2007: 746-755 - 2005
- [c3]Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski:
Statistical Likelihood Representations of Prior Knowledge in Machine Learning. Artificial Intelligence and Applications 2005: 467-472 - [c2]Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski:
Machine Learning and Statistical MAP Methods. Intelligent Information Systems 2005: 441-445 - 2000
- [c1]Andrzej W. Przybyszewski, Daniel A. Pollen:
Brain Differently Changes its Algorithms in Parallel Processing of Visual Information. Intelligent Information Systems 2000: 267-276
1990 – 1999
- 1998
- [j4]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): 151-159 (1998) - 1997
- [j3]Andrzej W. Przybyszewski:
Otto-Joachim Grüsser 1932-1995. Biol. Cybern. 76(5): 315 (1997) - [j2]Andrzej W. Przybyszewski:
Overview of Otto-Joachim Grüsser's work. Biol. Cybern. 76(5): 317-320 (1997) - 1996
- [j1]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): 299-308 (1996)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-06-07 19:56 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
