Tomasz Maszczyk - researchr alias

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Viewing Publication 1 - 29 from 29

2023

Knowledge-embedded machine learning and its applications in smart manufacturingFarzam Farbiz, Mohamed Salahuddin Habibullah, Brahim Hamadicharef, Tomasz Maszczyk, Saurabh Aggarwal. jim, 34(7):2889-2906, 2023. [doi]

2020

AVATAR - Machine Learning Pipeline Evaluation Using Surrogate ModelTien Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys. ida 2020: 352-365 [doi]

2018

Towards a data-driven behavioral approach to prediction of insider-threatSubhasree Basu, Yi Han Victoria Chua, Mei Wah Lee, Wanyu Geraldine Lim, Tomasz Maszczyk, Zheng Guo, Justin Dauwels. bigdataconf 2018: 4994-5001 [doi]

Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech SignalsDebsubhra 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: 6024-6028 [doi]

Automated Classification of Classroom Climate by Audio AnalysisAnusha James, Yi Han Victoria Chua, Tomasz Maszczyk, Ana Moreno Núñez, Rebecca Bull, Kerry Lee, Justin Dauwels. iwsds 2019: 41-49 [doi]

Inferring the Climate in Classrooms from Audio and Video Recordings: A Machine Learning ApproachAnusha James, Mohan Kashyap, Yi Han Victoria Chua, Tomasz Maszczyk, Ana Moreno Núñez, Rebecca Bull, Justin Dauwels. tale 2018: 983-988 [doi]

Automated Lexical Analysis of Interviews with Individuals with SchizophreniaShihao 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 2019: 185-197 [doi]

Automatic Verbal Analysis of Interviews with Schizophrenic PatientsShihao 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. icdsp 2018: 1-5 [doi]

2017

2016

2015

Real-time sociometrics from audio-visual features for two-person dialogsYasir Tahir, Debsubhra Chakraborty, Tomasz Maszczyk, Shoko Dauwels, Justin Dauwels, Nadia Magnenat-Thalmann, Daniel Thalmann. icdsp 2015: 823-827 [doi]

2012

2011

Optimal Support Features for Meta-LearningWlodzislaw Duch, Tomasz Maszczyk, Marek Grochowski. In Norbert Jankowski, Wlodzislaw Duch, Krzysztof Grabczewski, editors, Meta-Learning in Computational Intelligence. Volume 358 of Studies in Computational Intelligence, pages 317-358, Springer, 2011. [doi]

2010

Support Feature Machines: Support vectors are not enoughTomasz Maszczyk, Wlodzislaw Duch. ijcnn 2010: 1-8 [doi]

Almost Random Projection Machine with Margin Maximization and Kernel FeaturesTomasz Maszczyk, Wlodzislaw Duch. icann 2010: 40-48 [doi]

Triangular VisualizationTomasz Maszczyk, Wlodzislaw Duch. icaisc 2010: 445-452 [doi]

Support Feature Machine for DNA Microarray DataTomasz Maszczyk, Wlodzislaw Duch. rsctc 2010: 178-186 [doi]

Discovering Data Structures Using Meta-learning, Visualization and Constructive Neural NetworksTomasz Maszczyk, Marek Grochowski, Wlodzislaw Duch. In Jacek Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon, Janusz Kacprzyk, editors, Advances in Machine Learning II, Dedicated to the Memory of Professor Ryszard S. Michalski. Volume 263 of Studies in Computational Intelligence, pages 467-484, Springer, 2010. [doi]

2009

Universal Learning MachinesWlodzislaw Duch, Tomasz Maszczyk. iconip 2009: 206-215 [doi]

Almost Random Projection MachineWlodzislaw Duch, Tomasz Maszczyk. icann 2009: 789-798 [doi]

2008

Support Vector Machines for Visualization and Dimensionality ReductionTomasz Maszczyk, Wlodzislaw Duch. icann 2008: 346-356 [doi]

Comparison of Shannon, Renyi and Tsallis Entropy Used in Decision TreesTomasz Maszczyk, Wlodzislaw Duch. icaisc 2008: 643-651 [doi]

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