Affective Computing Experiments in Virtual Reality with Wearable Sensors. Methodological considerations and preliminary results. - Grzegorz J. Nalepa; Jan K. Argasinski; Krzysztof Kutt; Pawel Wegrzyn; Szymon Bobek; Mateusz Z. Lepicki (AfCAI, 2016)

Affective Design Patterns in Computer Games. Scrollrunner Case Study. - Grzegorz J. Nalepa; Barbara Gizycka; Krzysztof Kutt; Jan K. Argasinski (FedCSIS (Communication Papers), 2017)

Patterns in Serious Game Design and Evaluation Application of Eye-Tracker and Biosensors. - Jan K. Argasinski; Iwona Grabska-Gradzinska (ICAISC (2), 2017)

Affective VR Serious Game For Firefighter Training. - Jan K. Argasinski; Pawel Wegrzyn; Pawel Strojny (AfCAI, 2018)

Patterns in Video Games Analysis - Application of Eye-Tracker and Electrodermal Activity (EDA) Sensor. - Iwona Grabska-Gradzinska; Jan K. Argasinski (ICAISC (2), 2018)

Creating Art Installation in Virtual Reality. The Stilleben Project. - Jan K. Argasinski (ICEC, 2018)

Applying Affective Design Patterns in VR Firefighter Training Simulator. - Jan K. Argasinski; Grzegorz J. Nalepa; Pawel Strojny; Pawel Wegrzyn (AfCAI, 2019)

Applying Oculography and Biosignals Measurements to Gameplay Modes Analysis. - Iwona Grabska-Gradzinska; Leszek A. Nowak; Jan K. Argasinski (IHIET, 2019)

Affective patterns in serious games. - Jan K. Argasinski; Pawel Wegrzyn (Future Gener. Comput. Syst., 2019)

Graph-Based Method for the Interpretation of User Activities in Serious Games. - Iwona Grabska-Gradzinska; Jan K. Argasinski (INTERACT (3), 2021)

Data Structure Visualization as an Aid in Collaborative Game Design. - Iwona Grabska-Gradzinska; Ewa Grabska; Wojciech Palacz; Leszek Nowak; Jan K. Argasinski (CDVE, 2022)

Virtual Tabletops (VTT) for Role-Playing Games (RPG) and Do-It-Yourself (DYI) Interactive Surfaces as Examples of Vernacular Design. - Jan K. Argasinski (ISS Companion, 2022)

Impact of the Pre-processing and Balancing of EEG Data on the Performance of Graph Neural Network for Epileptic Seizure Classification. - Szymon Mazurek; Rosmary Blanco; Joan Falcó-Roget; Jan K. Argasinski; Alessandro Crimi (ICAISC (2), 2023)

Electroencephalographic (EEG) Correlates of Visually Induced Motion Sickness (VIMS) in the Virtual Reality (VR) Based Simulations. - Jan K. Argasinski; Natalia Lipp; Szymon Mazurek (INTERACT (4), 2023)

Are You Aroused Enough to See the Difference? The Role of Physiological Arousal in Perceiving Realism of Virtual Scene. - Natalia Lipp; Pawel Strojny; Agnieszka Strojny; Slawomir Spiewak; Jan K. Argasinski; Przemyslaw Korzeniowski (ISMAR-Adjunct, 2023)

Enhancing VR Based Serious Games and Simulations Design: Bayesian Knowledge Tracing and Pattern-Based Approaches. - Jan K. Argasinski; Natalia Lipp (VRST, 2023)

Performing Tasks in Virtual Reality. Interplay between Realism and Visual Imagery. - Natalia Lipp; Pawel Strojny; Agnieszka Strojny; Slawomir Spiewak; Jan K. Argasinski; Przemyslaw Korzeniowski (VRST, 2023)

Disrupting scientific podcasts. Prototype and blueprints for an ergodic neuroscientific talk. - Jan K. Argasinski; Katarzyna Baliga-Nicholson; Anna Partyka; Kamil Pilch; Joan Falcó-Roget (HT, 2024)

Exercises in unimaginativeness. Case study of GPT based translation and travesty of Alfred Jarry's "Ubu King". - Jan K. Argasinski; Piotr Marecki (HT, 2024)

Stylometric Analysis of Large Language Model-Generated Commentaries in the Context of Medical Neuroscience. - Jan K. Argasinski; Iwona Grabska-Gradzinska; Karol Przystalski; Jeremi K. Ochab; Tomasz Walkowiak (ICCS (5), 2024)

Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification. - Agus Hartoyo; Jan K. Argasinski; Aleksandra Trenk; Kinga Przybylska; Anna Blasiak; Alessandro Crimi (CoRR, 2024)

Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors. - Mustafa Sakhai; Szymon Mazurek; Jakub Caputa; Jan K. Argasinski; Maciej Wielgosz (CoRR, 2024)

Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification on health datasets. - Agus Hartoyo; Jan K. Argasinski; Aleksandra Trenk; Kinga Przybylska; Anna Blasiak; Alessandro Crimi (Comput. Biol. Medicine, 2025)

Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective. - Szymon Mazurek; Jakub Caputa; Jan K. Argasinski; Maciej Wielgosz (CoRR, 2025)

Stylometry recognizes human and LLM-generated texts in short samples. - Karol Przystalski; Jan K. Argasinski; Iwona Grabska-Gradzinska; Jeremi K. Ochab (CoRR, 2025)