Andrzej W. Przybyszewski

According to our database1, Andrzej W. Przybyszewski authored at least 55 papers between 1996 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2020
Parkinson's disease development prediction by c-granule computing compared to different AI methods.
J. Inf. Telecommun., 2020

Comparison of Different Data Mining Methods to Determine Disease Progression in Dissimilar Groups of Parkinson's Patients.
Fundam. Informaticae, 2020

Combining Results of Different Oculometric Tests Improved Prediction of Parkinson's Disease Development.
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.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

Eye-Tracking and Machine Learning Significance in Parkinson's Disease Symptoms Prediction.
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.
J. Intell. Fuzzy Syst., 2019

Parkinson's Disease Development Prediction by C-Granule Computing.
Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

Measurements of Antisaccades Parameters Can Improve the Prediction of Parkinson's Disease Progression.
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.
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.
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.
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.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

Rules Determine Therapy-Dependent Relationship in Symptoms Development of Parkinson's Disease Patients.
Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017
Webcam-based system for video-oculography.
IET Comput. Vis., 2017

Theory of Mind and Empathy. Part I - Model of Social Emotional Thinking.
Fundam. Informaticae, 2017

Rough Set Rules Determine Disease Progressions in Different Groups of Parkinson's Patients.
Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Building Classifiers for Parkinson's Disease Using New Eye Tribe Tracking Method.
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.
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.
Sensors, 2016

Building Intelligent Classifiers for Doctor-Independent Parkinson's Disease Treatments.
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.
Proceedings of the Pattern Recognition and Machine Intelligence, 2015

Frequency Based Mapping of the STN Borders.
Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

Data mining using SPECT can predict neurological symptom development in Parkinson's patients.
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.
Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

Expert Group Collaboration Tool for Collective Diagnosis of Parkinson Disease.
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.
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.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

Spike Sorting Based upon PCA over DWT Frequency Band Selection.
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.
Proceedings of the Brain Informatics and Health - International Conference, 2014

Intraoperative Decision Making with Rough Set Rules for STN DBS in Parkinson Disease.
Proceedings of the Brain Informatics and Health - International Conference, 2014

Rough Set Based Classifications of Parkinson's Patients Gaits.
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.
Simul. Model. Pract. Theory, 2013

Discrimination of the Micro Electrode Recordings for STN Localization during DBS Surgery in Parkinson's Patients.
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.
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.
Proceedings of the Computer Vision and Graphics - International Conference, 2012

2011
Selection of the Optimal Microelectrode during DBS Surgery in Parkinson's Patients.
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.
J. Circuits Syst. Comput., 2010

Logical rules of visual brain: From anatomy through neurophysiology to cognition.
Cogn. Syst. Res., 2010

2009
Neurological Foundation of Image Processing.
Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009

2008
The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory.
Trans. Rough Sets, 2008

Interactions between Rough Parts in Object Perception.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

Decision Making Logic of Visual Brain.
Proceedings of the Artificial Neural Networks, 2008

Brain-Like Approximate Reasoning.
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.
IEEE Trans. Neural Networks, 2007

Checking Brain Expertise Using Rough Set Theory.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

Rough Set Theory of Pattern Classification in the Brain.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007

Rough Set Theory of Shape Perception.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

2005
Machine Learning and Statistical MAP Methods.
Proceedings of the Intelligent Information Processing and Web Mining, 2005

Statistical Likelihood Representations of Prior Knowledge in Machine Learning.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2000
Brain Differently Changes its Algorithms in Parallel Processing of Visual Information.
Proceedings of the Intelligent Information Systems, 2000

1998
Spatial asymmetries in cat retinal ganglion cell responses.
Biol. Cybern., 1998

1997
Overview of Otto-Joachim Grüsser's work.
Biol. Cybern., 1997

Otto-Joachim Grüsser 1932-1995.
Biol. Cybern., 1997

1996
On the complex dynamics of intracellular ganglion cell light responses in the cat retina.
Biol. Cybern., 1996


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