Tomasz Maszczyk

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 16

Top Topics

Video Recordings

Machine Learning

Convolutional Neural Networks

Top Venues

Publications

Farzam Farbiz, Mohamed Salahuddin Habibullah, Brahim Hamadicharef, Tomasz Maszczyk, Saurabh Aggarwal
Knowledge-embedded machine learning and its applications in smart manufacturing. J. Intell. Manuf. 34 (7) (2023)
Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. IDA (2020)
Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. CoRR (2020)
Tomasz Maszczyk, Wlodzislaw Duch
Support Feature Machines. CoRR (2019)
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
Automatic Verbal Analysis of Interviews with Schizophrenic Patients. DSL (2018)
Debsubhra Chakraborty, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Magnenat-Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing-Leet Tan, Jimmy Lee
Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals. ICASSP (2018)
Anusha James, Mohan Kashyap, Yi Han Victoria Chua, Tomasz Maszczyk, Ana Moreno Núñez, Rebecca Bull, Justin Dauwels
Inferring the Climate in Classrooms from Audio and Video Recordings: A Machine Learning Approach. TALE (2018)
Subhasree Basu, Yi Han Victoria Chua, Mei Wah Lee, Wanyu Geraldine Lim, Tomasz Maszczyk, Zheng Guo, Justin Dauwels
Towards a data-driven behavioral approach to prediction of insider-threat. IEEE BigData (2018)
Anusha James, Yi Han Victoria Chua, Tomasz Maszczyk, Ana Moreno Núñez, Rebecca Bull, Kerry Lee, Justin Dauwels
Automated Classification of Classroom Climate by Audio Analysis. IWSDS (2018)
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
Automated Lexical Analysis of Interviews with Individuals with Schizophrenia. IWSDS (2018)
Debsubhra Chakraborty, Yasir Tahir, Zixu Yang, Tomasz Maszczyk, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Lee
Assessment and prediction of negative symptoms of schizophrenia from RGB+D movement signals. MMSP (2017)
John Thomas, Tomasz Maszczyk, Nishant Sinha, Tilmann Kluge, Justin Dauwels
Deep learning-based classification for brain-computer interfaces. SMC (2017)
Alexander Rosenberg Johansen, Jing Jin, Tomasz Maszczyk, Justin Dauwels, Sydney S. Cash, M. Brandon Westover
Epileptiform spike detection via convolutional neural networks. ICASSP (2016)
Nishant Sinha, Tomasz Maszczyk, Zhang Wanxuan, Jonathan Tan, Justin Dauwels
EEG hyperscanning study of inter-brain synchrony during cooperative and competitive interaction. SMC (2016)
Apratim Choudhury, Tomasz Maszczyk, Justin Dauwels, Chetan Belagal Math, Hong Li
An Integrated Simulation Environment for Testing V2X Protocols and Applications. ICCS (2016)
Apratim Choudhury, Tomasz Maszczyk, Muhammad Tayyab Asif, Nikola Mitrovic, Chetan Belagal Math, Hong Li, Justin Dauwels
An integrated V2X simulator with applications in vehicle platooning. ITSC (2016)
Yasir Tahir, Debsubhra Chakraborty, Tomasz Maszczyk, Shoko Dauwels, Justin Dauwels, Nadia Magnenat-Thalmann, Daniel Thalmann
Real-time sociometrics from audio-visual features for two-person dialogs. DSP (2015)
Tomasz Maszczyk, Wlodzislaw Duch
Locally Optimized Kernels. ICAISC (1) (2012)
Wlodzislaw Duch, Norbert Jankowski, Tomasz Maszczyk
Make it cheap: Learning with O(nd) complexity. IJCNN (2012)
Tomasz Maszczyk, Wlodzislaw Duch
Recursive Similarity-Based Algorithm for Deep Learning. ICONIP (3) (2012)
Marcin Blachnik, Wlodzislaw Duch, Tomasz Maszczyk
Feature Ranking Methods Used for Selection of Prototypes. ICANN (2) (2012)
Tomasz Maszczyk, Wlodzislaw Duch
Support Feature Machine for DNA Microarray Data. RSCTC (2010)
Tomasz Maszczyk, Wlodzislaw Duch
Support Feature Machines: Support vectors are not enough. IJCNN (2010)
Tomasz Maszczyk, Wlodzislaw Duch
Almost Random Projection Machine with Margin Maximization and Kernel Features. ICANN (2) (2010)
Tomasz Maszczyk, Wlodzislaw Duch
Triangular Visualization. ICAISC (1) (2010)
Wlodzislaw Duch, Tomasz Maszczyk
Almost Random Projection Machine. ICANN (1) (2009)
Wlodzislaw Duch, Tomasz Maszczyk
Universal Learning Machines. ICONIP (2) (2009)
Tomasz Maszczyk, Wlodzislaw Duch
Comparison of Shannon, Renyi and Tsallis Entropy Used in Decision Trees. ICAISC (2008)
Tomasz Maszczyk, Wlodzislaw Duch
Support Vector Machines for Visualization and Dimensionality Reduction. ICANN (1) (2008)