Tomas Maul
Orcid: 0000-0002-3563-1115Affiliations:
- The University of Nottingham Malaysia Campu, Malaysia
According to our database1,
Tomas Maul
authored at least 51 papers
between 2005 and 2025.
Collaborative distances:
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Bibliography
2025
AMAuT: A Flexible and Efficient Multiview Audio Transformer Framework Trained from Scratch.
CoRR, October, 2025
Comparison of three hybrid architectures using 1D, 2D, and 3D CNNs for speech emotion recognition.
Int. J. Speech Technol., September, 2025
An Investigation of Test-time Adaptation for Audio Classification under Background Noise.
CoRR, July, 2025
2024
Enhancing breast cancer histopathological image classification using attention-based high order covariance pooling.
Neural Comput. Appl., December, 2024
Recent advancement of intelligent-systems in edible birds nest: A review from production to processing.
Multim. Tools Appl., May, 2024
A review on speech emotion recognition for late deafened educators in online education.
Int. J. Speech Technol., March, 2024
Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective.
Expert Syst. Appl., 2024
Synthetic Electrochemical Biosensor Data with Conditional Variational Autoencoders for Enhanced Predictive Modeling.
Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024
A Novel Framework using Large Language Models to Automate Coursework Feedback for Computer Science modules.
Proceedings of the 16th International Conference on Education Technology and Computers, 2024
Proceedings of the 16th IEEE International Conference on Advanced Infocomm Technology, 2024
2023
Graphene/TiO2 Nanocomposite based Electrochemical Biosensor Enhanced by Support Vector Machine Classification Model to Detect Different DENV Serotype IgG.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
Evaluation of Post-hoc Interpretability Methods in Breast Cancer Histopathological Image Classification.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023
Vision-Based Deep Q-Learning on Simple Control Problems: Stabilization via Neurogenesis Regularization.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023
Proceedings of the 6th International Conference on Algorithms, 2023
2022
Neural Comput. Appl., 2022
Analysis of Machine Learning Techniques for Predictive Maintenance in Cooler Condition.
Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems, 2022
Lightweight Deep Network for the Classification of Breast Cancer Histopathological Images.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022
2021
AEGR: a simple approach to gradient reversal in autoencoders for network anomaly detection.
Soft Comput., 2021
Appl. Intell., 2021
An Empirical Study of Several Information Theoretic Based Feature Extraction Methods for Classifying High Dimensional Low Sample Size Data.
IEEE Access, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the CSSE 2021: 2021 4th International Conference on Computer Science and Software Engineering, Singapore, October 22, 2021
2020
Conditional Generative Adversarial Networks for Data Augmentation in Breast Cancer Classification.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2020
2019
Multim. Tools Appl., 2019
Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing.
CoRR, 2019
Artif. Intell. Rev., 2019
2018
Neural Process. Lett., 2018
2017
An Empirical Study on Improving the Speed and Generalization of Neural Networks Using a Parallel Circuit Approach.
Int. J. Parallel Program., 2017
2016
Neural Process. Lett., 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
PeerJ Prepr., 2015
A parallel circuit approach for improving the speed and generalization properties of neural networks.
Proceedings of the 11th International Conference on Natural Computation, 2015
2014
Modelling Retinal Feature Detection With Deep Belief Networks In A Simulated Environment.
Proceedings of the 28th European Conference on Modelling and Simulation, 2014
Proceedings of the 28th European Conference on Modelling and Simulation, 2014
2013
2011
Cybernetics of Vision Systems: Toward an Understanding of Putative Functions of the Outer Retina.
IEEE Trans. Syst. Man Cybern. Part A, 2011
Neurocomputing, 2011
Proceedings of the 25th European Conference on Modelling and Simulation, 2011
2010
Proceedings of the European Conference on Modelling and Simulation, 2010
2009
Proceedings of the Fifth International Conference on Signal-Image Technology & Internet-Based Systems, 2009
Proceedings of the European Conference on Modelling and Simulation, 2009
2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
2005
Dynamic Inputs and Attraction Force Analysis for Visual Invariance and Transformation Estimation.
Proceedings of the Advances in Natural Computation, First International Conference, 2005