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ORCIDTomas Maul
Person information
- affiliation: The University of Nottingham Malaysia Campu, Malaysia
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2020 – today
- 2026
[j21]Ruan Hang
, Tomas Maul, Yifan Chen, Tissa Chandesa, Iman Yi Liao, Zhiyuan Chen, Man Zhou:
Unsupervised Continual Learning: A Review of Challenges, Techniques, and Evaluation Metrics. IEEE Access 14: 56919-56937 (2026)- [j20]Kwang Jerh Chia, Tomas Maul, Zhiyuan Chen, Veronica Lestari Jauw, Yee Jiun Yap:
Exploits and advances in dynamic neural networks. Neural Comput. Appl. 38(13): 550 (2026) - 2025
- [j19]Aparna Vyakaranam, Tomas Maul, Bavani Ramayah:
Comparison of three hybrid architectures using 1D, 2D, and 3D CNNs for speech emotion recognition. Int. J. Speech Technol. 28(3): 653-669 (2025) - [i15]Weichuang Shao, Iman Yi Liao, Tomas Henrique Bode Maul, Tissa Chandesa:
An Investigation of Test-time Adaptation for Audio Classification under Background Noise. CoRR abs/2507.15523 (2025) - [i14]Weichuang Shao, Iman Yi Liao, Tomas Henrique Bode Maul, Tissa Chandesa:
AMAuT: A Flexible and Efficient Multiview Audio Transformer Framework Trained from Scratch. CoRR abs/2510.19368 (2025) - [i13]Weichuang Shao, Iman Yi Liao, Tomas Henrique Bode Maul, Tissa Chandesa:
DHAuDS: A Dynamic and Heterogeneous Audio Benchmark for Test-Time Adaptation. CoRR abs/2511.18421 (2025) - 2024
- [j18]Mateus Karvat Camara, Adriana Postal, Tomas Henrique Maul, Gustavo Henrique Paetzold:
Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective. Expert Syst. Appl. 249: 123684 (2024) - [j17]Aparna Vyakaranam, Tomas Maul, Bavani Ramayah:
A review on speech emotion recognition for late deafened educators in online education. Int. J. Speech Technol. 27(1): 29-52 (2024) - [j16]Kam Meng Goh, Li Li Lim, Santhi Krishnamoorthy, Weng Kin Lai, Tomas Maul, Jun Kit Chaw:
Recent advancement of intelligent-systems in edible birds nest: A review from production to processing. Multim. Tools Appl. 83(17): 51159-51209 (2024) - [j15]Muhammad Waqas, Amr Ahmed, Tomas Maul, Iman Yi Liao:
Enhancing breast cancer histopathological image classification using attention-based high order covariance pooling. Neural Comput. Appl. 36(36): 23275-23293 (2024) - [c24]Ruan Hang, Tomas Maul, Yifan Chen, Tissa Chandesa, Iman Yi Liao, Zhiyuan Chen:
Exploring SSL Enhancements Through Triplet-Based Representation Learning. ICAIT 2024: 319-323 - [c23]Irfan Yaqub, Zhiyuan Chen, Iman Yi Liao, Tomas Maul, Hsin-Vonn Seow, Tissa Chandesa:
A Novel Framework using Large Language Models to Automate Coursework Feedback for Computer Science modules. ICETC 2024: 130-137 - [c22]Desmond Teo Kai Xiang, Tomas Maul, Michelle Tan Tien Tien:
Synthetic Electrochemical Biosensor Data with Conditional Variational Autoencoders for Enhanced Predictive Modeling. IEEE SENSORS 2024: 1-4 - [c21]Nick Sen Chua, Tomas Maul:
Antimatter Networks for Combating the Dying ReLU Problem. MLIS 2024: 75-81 - 2023
- [c20]Qichao Chen, Zhiyuan Chen, Tomas Maul, Kuan Li, Jianping Yin:
Outlier Exposure with Focal Loss for Out-of-distribution Detection. ACAI 2023: 248-253 - [c19]Ananto Joyoadikusumo, Tomas Maul:
Vision-Based Deep Q-Learning on Simple Control Problems: Stabilization via Neurogenesis Regularization. BICS 2023: 3-13 - [c18]Muhammad Waqas, Tomas Maul, Amr Ahmed, Iman Yi Liao:
Evaluation of Post-hoc Interpretability Methods in Breast Cancer Histopathological Image Classification. BICS 2023: 95-104 - [c17]Tan Shi Hui, Desmond Teo Kai Xiang, Hwei-San Loh, Tomas Maul, Michelle Tan Tien Tien:
Graphene/TiO2 Nanocomposite based Electrochemical Biosensor Enhanced by Support Vector Machine Classification Model to Detect Different DENV Serotype IgG. SENSORS 2023: 1-4 - 2022
- [j14]Ka Shing Lee, Hui Ling Chen, Yong Sin Ng, Tomas Maul, Chris Gibbins, Kang-Nee Ting, Mohammed Amer, Mateus Camara:
U-Net skip-connection architectures for the automated counting of microplastics. Neural Comput. Appl. 34(9): 7283-7297 (2022) - [c16]Haixia Liu, Tim J. Brailsford, James Goulding, Tomas Maul, Tao Tan, Debanjan Chaudhuri:
Towards Idea Mining: Problem-Solution Phrase Extraction from Text. ADMA (2) 2022: 3-14 - [c15]Muhammad Waqas, Tomas Maul, Iman Yi Liao, Amr Ahmed:
Lightweight Deep Network for the Classification of Breast Cancer Histopathological Images. CISP-BMEI 2022: 1-6 - [c14]Mirza Rayana Sanzana, Mostafa Osama Mostafa Abdulrazic, Jing-Ying Wong, Tomas Maul, Chun-Chieh Yip:
Analysis of Machine Learning Techniques for Predictive Maintenance in Cooler Condition. ISPACS 2022: 1-4 - [i12]Mateus Karvat Camara, Adriana Postal, Tomas Henrique Maul, Gustavo Paetzold:
Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective. CoRR abs/2211.13035 (2022) - 2021
- [j13]Sheena Leeza Verghese, Iman Yi Liao, Tomas Henrique Maul, Siang Yew Chong:
An Empirical Study of Several Information Theoretic Based Feature Extraction Methods for Classifying High Dimensional Low Sample Size Data. IEEE Access 9: 69157-69172 (2021) - [j12]Chen Wen Kang, Chua Meng Hong, Tomas Maul:
Towards data-free gating of heterogeneous pre-trained neural networks. Appl. Intell. 51(11): 8045-8056 (2021) - [j11]Kasra Babaei, Zhiyuan Chen, Tomas Maul:
AEGR: a simple approach to gradient reversal in autoencoders for network anomaly detection. Soft Comput. 25(24): 15269-15280 (2021) - [c13]Duhita Wani, Tomas Maul:
Image Super-Resolution for Arthropod Identification. CSSE 2021: 317-324 - [c12]Goh Howe Seng, Tomas Maul, Manav Nitin Kapadnis:
Compositional Committees of Tiny Networks. ICONIP (6) 2021: 389-396 - [i11]Mohammed Amer, Tomas Maul, Iman Yi Liao:
Balancing Accuracy and Latency in Multipath Neural Networks. CoRR abs/2104.12040 (2021) - 2020
- [j10]Mohammed Amer, Tomas Maul:
Path Capsule Networks. Neural Process. Lett. 52(1): 545-559 (2020) - [c11]Weng San Wong, Mohammed Amer, Tomas Maul, Iman Yi Liao, Amr Ahmed:
Conditional Generative Adversarial Networks for Data Augmentation in Breast Cancer Classification. SCDM 2020: 392-402 - [i10]Chen Wen Kang, Chua Meng Hong, Tomas Maul:
Towards a Universal Gating Network for Mixtures of Experts. CoRR abs/2011.01613 (2020)
2010 – 2019
- 2019
- [j9]Mohammed Amer, Tomas Maul:
A review of modularization techniques in artificial neural networks. Artif. Intell. Rev. 52(1): 527-561 (2019) - [j8]Kam Meng Goh, Usman Ullah Sheikh, Tomas Henrique Maul:
Recognizing hidden emotions from difference image using mean local mapped pattern. Multim. Tools Appl. 78(15): 21485-21520 (2019) - [i9]Mohammed Amer, Tomas Maul:
Path Capsule Networks. CoRR abs/1902.03760 (2019) - [i8]Mohammed Amer, Tomas Maul:
A Review of Modularization Techniques in Artificial Neural Networks. CoRR abs/1904.12770 (2019) - [i7]Mohammed Amer, Tomas Maul:
Weight Map Layer for Noise and Adversarial Attack Robustness. CoRR abs/1905.00568 (2019) - [i6]Kasra Babaei, Zhiyuan Chen, Tomas Maul:
Detecting Point Outliers Using Prune-based Outlier Factor (PLOF). CoRR abs/1911.01654 (2019) - [i5]Mohammed Amer, Tomas Maul:
Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing. CoRR abs/1912.04508 (2019) - [i4]Kasra Babaei, Zhiyuan Chen, Tomas Maul:
Data Augmentation by AutoEncoders for Unsupervised Anomaly Detection. CoRR abs/1912.13384 (2019) - [i3]Kasra Babaei, Zhiyuan Chen, Tomas Maul:
AEGR: A simple approach to gradient reversal in autoencoders for network anomaly detection. CoRR abs/1912.13387 (2019) - 2018
- [j7]Kien Tuong Phan, Tomas Henrique Maul, Tuong Thuy Vu, Weng Kin Lai:
DropCircuit : A Modular Regularizer for Parallel Circuit Networks. Neural Process. Lett. 47(3): 841-858 (2018) - 2017
- [j6]Kien Tuong Phan, Tomas Henrique Maul, Tuong Thuy Vu:
An Empirical Study on Improving the Speed and Generalization of Neural Networks Using a Parallel Circuit Approach. Int. J. Parallel Program. 45(4): 780-796 (2017) - 2016
- [j5]Diána Turcsány, Andrzej Bargiela, Tomas Maul:
Local receptive field constrained deep networks. Inf. Sci. 349-350: 229-247 (2016) - [j4]Tomas Henrique Maul:
Improving Neuroevolution with Complementarity-Based Selection Operators. Neural Process. Lett. 44(3): 887-911 (2016) - [c10]Kien Tuong Phan, Tomas Henrique Maul, Tuong Thuy Vu, Weng Kin Lai:
Improving Neural Network Generalization by Combining Parallel Circuits with Dropout. ICONIP (3) 2016: 572-580 - [i2]Kien Tuong Phan, Tomas Henrique Maul, Tuong Thuy Vu, Weng-Kin Lai:
Improving Neural Network Generalization by Combining Parallel Circuits with Dropout. CoRR abs/1612.04970 (2016) - 2015
- [c9]Kien Tuong Phan, Tomas Henrique Maul, Tuong Thuy Vu:
A parallel circuit approach for improving the speed and generalization properties of neural networks. ICNC 2015: 1-7 - [i1]Shern Shiou Tan, Tomas Maul, Neil Mennie:
Luminophonics experiment: A user study on visual sensory substitution device. PeerJ Prepr. 3: e1289 (2015) - 2014
- [c8]Tomas Maul, Andrzej Bargiela, Siang Yew Chong, Abdullahi S. Adamu:
Towards Evolutionary Deep Neural Networks. ECMS 2014: 319-325 - [c7]Diána Turcsány, Andrzej Bargiela, Tomas Maul:
Modelling Retinal Feature Detection With Deep Belief Networks In A Simulated Environment. ECMS 2014: 364-370 - 2013
- [j3]Tomas Maul:
Early experiments with neural diversity machines. Neurocomputing 113: 36-48 (2013) - 2011
- [j2]Tomas Maul, Sapiyan Baba:
Unsupervised learning in second-order neural networks for motion analysis. Neurocomputing 74(6): 884-895 (2011) - [j1]Tomas Maul, Andrzej Bargiela, Jung Ren Lee:
Cybernetics of Vision Systems: Toward an Understanding of Putative Functions of the Outer Retina. IEEE Trans. Syst. Man Cybern. Part A 41(3): 398-409 (2011) - [c6]Tomas Maul, Andrzej Bargiela, Yuying Yan, Nan Gao:
Simulation Modelling Of Nanoparticle Assemblies Formed By Spray Deposition. ECMS 2011: 254-260 - 2010
- [c5]Tomas Maul, Andrzej Bargiela, Jung Ren Lee:
A Neuroalgorithmic Investigation Of The Outer Retina. ECMS 2010: 337-343
2000 – 2009
- 2009
- [c4]Tomas Maul, Sapiyan Baba:
Neural Clustering Of Correspondences For Visual Pose Estimation. ECMS 2009: 820-826 - [c3]Norshuhada Samudin, Wan Noorshahida Mohd Isa, Tomas Maul, Weng-Kin Lai:
Analysis of Gait Features between Loaded and Normal Gait. SITIS 2009: 172-179 - 2008
- [c2]Ee Lee Ng, Mei Kuan Lim, Tomas Maul, Weng-Kin Lai:
Investigations into Particle Swarm Optimization for Multi-class Shape Recognition. ICONIP (2) 2008: 599-606 - 2005
- [c1]Tomas Maul, Sapiyan Baba, Azwina M. Yusof:
Dynamic Inputs and Attraction Force Analysis for Visual Invariance and Transformation Estimation. ICNC (1) 2005: 893-902
Coauthor Index
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