Comparison of Shannon, Renyi and Tsallis Entropy Used in Decision Trees. - Tomasz Maszczyk; Wlodzislaw Duch (ICAISC, 2008)

Support Vector Machines for Visualization and Dimensionality Reduction. - Tomasz Maszczyk; Wlodzislaw Duch (ICANN (1), 2008)

Almost Random Projection Machine. - Wlodzislaw Duch; Tomasz Maszczyk (ICANN (1), 2009)

Universal Learning Machines. - Wlodzislaw Duch; Tomasz Maszczyk (ICONIP (2), 2009)

Triangular Visualization. - Tomasz Maszczyk; Wlodzislaw Duch (ICAISC (1), 2010)

Almost Random Projection Machine with Margin Maximization and Kernel Features. - Tomasz Maszczyk; Wlodzislaw Duch (ICANN (2), 2010)

Support Feature Machines: Support vectors are not enough. - Tomasz Maszczyk; Wlodzislaw Duch (IJCNN, 2010)

Support Feature Machine for DNA Microarray Data. - Tomasz Maszczyk; Wlodzislaw Duch (RSCTC, 2010)

Discovering Data Structures Using Meta-learning, Visualization and Constructive Neural Networks. - Tomasz Maszczyk; Marek Grochowski; Wlodzislaw Duch (Advances in Machine Learning II, 2010)

Optimal Support Features for Meta-Learning. - Wlodzislaw Duch; Tomasz Maszczyk; Marek Grochowski (Meta-Learning in Computational Intelligence, 2011)

Locally Optimized Kernels. - Tomasz Maszczyk; Wlodzislaw Duch (ICAISC (1), 2012)

Feature Ranking Methods Used for Selection of Prototypes. - Marcin Blachnik; Wlodzislaw Duch; Tomasz Maszczyk (ICANN (2), 2012)

Recursive Similarity-Based Algorithm for Deep Learning. - Tomasz Maszczyk; Wlodzislaw Duch (ICONIP (3), 2012)

Make it cheap: Learning with O(nd) complexity. - Wlodzislaw Duch; Norbert Jankowski; Tomasz Maszczyk (IJCNN, 2012)

Real-time sociometrics from audio-visual features for two-person dialogs. - Yasir Tahir; Debsubhra Chakraborty; Tomasz Maszczyk; Shoko Dauwels; Justin Dauwels; Nadia Magnenat-Thalmann; Daniel Thalmann (DSP, 2015)

Epileptiform spike detection via convolutional neural networks. - Alexander Rosenberg Johansen; Jing Jin 004; Tomasz Maszczyk; Justin Dauwels; Sydney S. Cash; M. Brandon Westover (ICASSP, 2016)

An Integrated Simulation Environment for Testing V2X Protocols and Applications. - Apratim Choudhury; Tomasz Maszczyk; Justin Dauwels; Chetan Belagal Math; Hong Li 012 (ICCS, 2016)

An integrated V2X simulator with applications in vehicle platooning. - Apratim Choudhury; Tomasz Maszczyk; Muhammad Tayyab Asif; Nikola Mitrovic; Chetan Belagal Math; Hong Li 012; Justin Dauwels (ITSC, 2016)

EEG hyperscanning study of inter-brain synchrony during cooperative and competitive interaction. - Nishant Sinha 002; Tomasz Maszczyk; Zhang Wanxuan; Jonathan Tan; Justin Dauwels (SMC, 2016)

Assessment and prediction of negative symptoms of schizophrenia from RGB+D movement signals. - Debsubhra Chakraborty; Yasir Tahir; Zixu Yang; Tomasz Maszczyk; Justin Dauwels; Daniel Thalmann; Nadia Magnenat-Thalmann; Bhing-Leet Tan; Jimmy Lee (MMSP, 2017)

Deep learning-based classification for brain-computer interfaces. - John Thomas; Tomasz Maszczyk; Nishant Sinha 002; Tilmann Kluge; Justin Dauwels (SMC, 2017)

Towards a data-driven behavioral approach to prediction of insider-threat. - Subhasree Basu; Yi Han Victoria Chua; Mei Wah Lee; Wanyu Geraldine Lim; Tomasz Maszczyk; Zheng Guo; Justin Dauwels (IEEE BigData, 2018)

Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals. - Debsubhra Chakraborty; Zixu Yang; Yasir Tahir; Tomasz Maszczyk; Justin Dauwels; Nadia Magnenat-Thalmann; Jianmin Zheng; Yogeswary Maniam; Nur Amirah; Bhing-Leet Tan; Jimmy Lee (ICASSP, 2018)

Automatic Verbal Analysis of Interviews with Schizophrenic Patients. - Shihao Xu; Zixu Yang; Debsubhra Chakraborty; Yasir Tahir; Tomasz Maszczyk; Yi Han Victoria Chua; Justin Dauwels; Daniel Thalmann; Nadia Magnenat-Thalmann; Bhing-Leet Tan; Jimmy Chee Keong Lee (DSP, 2018)

Automated Classification of Classroom Climate by Audio Analysis. - Anusha James; Yi Han Victoria Chua; Tomasz Maszczyk; Ana Moreno Núñez; Rebecca Bull; Kerry Lee 002; Justin Dauwels (IWSDS, 2018)

Automated Lexical Analysis of Interviews with Individuals with Schizophrenia. - Shihao Xu; Zixu Yang; Debsubhra Chakraborty; Yasir Tahir; Tomasz Maszczyk; Yi Han Victoria Chua; Justin Dauwels; Daniel Thalmann; Nadia Magnenat-Thalmann; Bhing-Leet Tan; Jimmy Chee Keong Lee (IWSDS, 2018)

Inferring the Climate in Classrooms from Audio and Video Recordings: A Machine Learning Approach. - Anusha James; Mohan Kashyap; Yi Han Victoria Chua; Tomasz Maszczyk; Ana Moreno Núñez; Rebecca Bull; Justin Dauwels (TALE, 2018)

Support Feature Machines. - Tomasz Maszczyk; Wlodzislaw Duch (CoRR, 2019)

AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. - Tien-Dung Nguyen 002; Tomasz Maszczyk; Katarzyna Musial; Marc-André Zöller; Bogdan Gabrys (IDA, 2020)

Knowledge-embedded machine learning and its applications in smart manufacturing. - Farzam Farbiz; Mohamed Salahuddin Habibullah; Brahim Hamadicharef; Tomasz Maszczyk; Saurabh Aggarwal (J. Intell. Manuf., 2023)