Tomasz Maszczyk

32 papers B 5C 1Misc 4Journal 4Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Reliability-improved machine learning model using knowledge-embedded learning approach for smart manufacturing.
J. Intell. Manuf.
Farzam Farbiz, Saurabh Aggarwal, Tomasz Maszczyk, Mohamed Salahuddin Habibullah, Brahim Hamadicharef
2023 J jnl
Knowledge-embedded machine learning and its applications in smart manufacturing.
J. Intell. Manuf.
Farzam Farbiz, Mohamed Salahuddin Habibullah, Brahim Hamadicharef, Tomasz Maszczyk, Saurabh Aggarwal
2020 B conf
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model.
IDA
Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys
2020 J jnl
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model.
CoRR
Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys
2019 J jnl
Support Feature Machines.
CoRR
Tomasz Maszczyk, Wlodzislaw Duch
2018 — conf
Automated Classification of Classroom Climate by Audio Analysis.
IWSDS
Anusha James, Yi Han Victoria Chua, Tomasz Maszczyk, Ana Moreno Núñez, Rebecca Bull, Kerry Lee, Justin Dauwels
2018 — conf
Automated Lexical Analysis of Interviews with Individuals with Schizophrenia.
IWSDS
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
2018 — conf
Automatic Verbal Analysis of Interviews with Schizophrenic Patients.
DSP
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
2018 — conf
Inferring the Climate in Classrooms from Audio and Video Recordings: A Machine Learning Approach.
TALE
Anusha James, Mohan Kashyap, Yi Han Victoria Chua, Tomasz Maszczyk, Ana Moreno Núñez, Rebecca Bull, Justin Dauwels
2018 Misc conf
Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals.
ICASSP
Debsubhra Chakraborty, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Magnenat-Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing-Leet Tan, Jimmy Lee
2018 — conf
Towards a data-driven behavioral approach to prediction of insider-threat.
IEEE BigData
Subhasree Basu, Yi Han Victoria Chua, Mei Wah Lee, Wanyu Geraldine Lim, Tomasz Maszczyk, Zheng Guo, Justin Dauwels
2017 C conf
Assessment and prediction of negative symptoms of schizophrenia from RGB+D movement signals.
MMSP
Debsubhra Chakraborty, Yasir Tahir, Zixu Yang, Tomasz Maszczyk, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Lee
2017 B conf
Deep learning-based classification for brain-computer interfaces.
SMC
John Thomas, Tomasz Maszczyk, Nishant Sinha, Tilmann Kluge, Justin Dauwels
2016 Misc conf
An Integrated Simulation Environment for Testing V2X Protocols and Applications.
ICCS
Apratim Choudhury, Tomasz Maszczyk, Justin Dauwels, Chetan Belagal Math, Hong Li
2016 — conf
An integrated V2X simulator with applications in vehicle platooning.
ITSC
Apratim Choudhury, Tomasz Maszczyk, Muhammad Tayyab Asif, Nikola Mitrovic, Chetan Belagal Math, Hong Li, Justin Dauwels
2016 B conf
EEG hyperscanning study of inter-brain synchrony during cooperative and competitive interaction.
SMC
Nishant Sinha, Tomasz Maszczyk, Zhang Wanxuan, Jonathan Tan, Justin Dauwels
2016 Misc conf
Epileptiform spike detection via convolutional neural networks.
ICASSP
Alexander Rosenberg Johansen, Jing Jin, Tomasz Maszczyk, Justin Dauwels, Sydney S. Cash, M. Brandon Westover
2015 — conf
Real-time sociometrics from audio-visual features for two-person dialogs.
DSP
Yasir Tahir, Debsubhra Chakraborty, Tomasz Maszczyk, Shoko Dauwels, Justin Dauwels, Nadia Magnenat-Thalmann, Daniel Thalmann
2012 — conf
Feature Ranking Methods Used for Selection of Prototypes.
ICANN (2)
Marcin Blachnik, Wlodzislaw Duch, Tomasz Maszczyk
2012 — conf
Locally Optimized Kernels.
ICAISC (1)
Tomasz Maszczyk, Wlodzislaw Duch
2012 B conf
Make it cheap: Learning with O(nd) complexity.
IJCNN
Wlodzislaw Duch, Norbert Jankowski, Tomasz Maszczyk
2012 — conf
Recursive Similarity-Based Algorithm for Deep Learning.
ICONIP (3)
Tomasz Maszczyk, Wlodzislaw Duch
2011 — ch.
Optimal Support Features for Meta-Learning.
Meta-Learning in Computational Intelligence
Wlodzislaw Duch, Tomasz Maszczyk, Marek Grochowski
2010 — conf
Almost Random Projection Machine with Margin Maximization and Kernel Features.
ICANN (2)
Tomasz Maszczyk, Wlodzislaw Duch
2010 — ch.
Discovering Data Structures Using Meta-learning, Visualization and Constructive Neural Networks.
Advances in Machine Learning II
Tomasz Maszczyk, Marek Grochowski, Wlodzislaw Duch
2010 — conf
Support Feature Machine for DNA Microarray Data.
RSCTC
Tomasz Maszczyk, Wlodzislaw Duch
2010 B conf
Support Feature Machines: Support vectors are not enough.
IJCNN
Tomasz Maszczyk, Wlodzislaw Duch
2010 — conf
Triangular Visualization.
ICAISC (1)
Tomasz Maszczyk, Wlodzislaw Duch
2009 — conf
Almost Random Projection Machine.
ICANN (1)
Wlodzislaw Duch, Tomasz Maszczyk
2009 — conf
Universal Learning Machines.
ICONIP (2)
Wlodzislaw Duch, Tomasz Maszczyk
2008 Misc conf
Comparison of Shannon, Renyi and Tsallis Entropy Used in Decision Trees.
ICAISC
Tomasz Maszczyk, Wlodzislaw Duch
2008 — conf
Support Vector Machines for Visualization and Dimensionality Reduction.
ICANN (1)
Tomasz Maszczyk, Wlodzislaw Duch