Jan K. Argasiński

Jagiellonian University — Poland

Computer Science · Physical Sciences

4h-index101citations64works0.42yr avg
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Research Topics

Face and Expression Recognition(5), Virtual Reality Applications and Impacts(5), Emotion and Mood Recognition(5), Educational Games and Gamification(5), Glioma Diagnosis and Treatment(4)

Publications64 total

Three-factor learning in spiking neural networks: An overview of methods and trends from a machine learning perspective
Patterns·2025Open Access
A non-local diffusion magnetic resonance imaging tract density biomarker to stratify, predict, and interpret survival rates in human glioblastoma
Neuro-Oncology·2025Open Access
OS04.1.A A NORMATIVE HUMAN GLIOBLASTOMA-CONNECTOME CONSTRUCTED FROM TUMOR-CONNECTED BRAIN REGIONS IMPROVES SURVIVAL RATES ESTIMATION
Neuro-Oncology·2025Open Access
OS02.4.A A CIRCUIT-BASED WHITE MATTER DENSITY NEUROIMAGING BIOMARKER TO STRATIFY, PREDICT, AND INTERPRET SURVIVAL RATES IN HUMAN GLIOBLASTOMA
Neuro-Oncology·2025Open Access
Pattern Recognition Primer
2025· 1 citedOpen Access
Decision Trees
2025
Introduction to Pattern Recognition
2025
Neural Networks
2025
Unsupervised Learning
2025
Support Vector Machine
2025· 1 cited
Ensemble Methods
2025
Machine Learning Math Basics
2025
Introduction to Shallow Supervised Methods
2025
Stylometry recognizes human and LLM-generated texts in short samples
Expert Systems with Applications·2025· 3 citedOpen Access
A non-local diffusion magnetic resonance imaging tract density biomarker to stratify, predict, and interpret survival rates in human glioblastoma
2025Open Access
Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective
arXiv (Cornell University)·2025· 1 citedOpen Access
Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification on health datasets
Computers in Biology and Medicine·2025· 1 citedOpen Access
$$\ldots $$ In Healthcare
Synthesis lectures on engineering, science, and technology·2025
$$\ldots $$ In Training and Education
Synthesis lectures on engineering, science, and technology·2025
What Are LLMs Anyway? (Not Overly) Technical Introduction to LLMs
Synthesis lectures on engineering, science, and technology·2025
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Frequent Co-authors

Karol Przystalski(20), Natalia Lipp(14), Iwona Grabska-Gradzińska(8), Maciej Ogorzałek(8), Wiesław Chmielnicki(8), Paweł Strojny(5), Paweł Wȩgrzyn(4), Szymon Mazurek(4), Joan Falcó-Roget(4), Alessandro Crimi(4), Grzegorz J. Nalepa(3), Jeremi K. Ochab(3), Daniel Pacholczyk(3), Aleksandra Trenk(3), Kinga Przybylska(3), Anna Błasiak(3), Krzysztof Kutt(2), Jakub Caputa(2), Maciej Wielgosz(2), Jakub Woynarowski(2)