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ORCIDTomás Maul
Person information
- affiliation: The University of Nottingham Malaysia Campu, Malaysia
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2020 – today
- 2024
[j16]Mateus Karvat Camara
, Adriana Postal, Tomás 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)- [j15]Kam Meng Goh, Li Li Lim, Santhi Krishnamoorthy, Weng Kin Lai, Tomás 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) - 2023
- [c19]Qichao Chen, Zhiyuan Chen, Tomás Maul, Kuan Li, Jianping Yin:
Outlier Exposure with Focal Loss for Out-of-distribution Detection. ACAI 2023: 248-253 - [c18]Muhammad Waqas, Tomás 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, Tomás 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, Tomás 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, Tomás Maul, Tao Tan, Debanjan Chaudhuri:
Towards Idea Mining: Problem-Solution Phrase Extraction from Text. ADMA (2) 2022: 3-14 - [c15]Muhammad Waqas, Tomás 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, Tomás 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, Tomás 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, Tomás 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, Tomás Maul:
Towards data-free gating of heterogeneous pre-trained neural networks. Appl. Intell. 51(11): 8045-8056 (2021) - [j11]Kasra Babaei, Zhiyuan Chen, Tomás Maul:
AEGR: a simple approach to gradient reversal in autoencoders for network anomaly detection. Soft Comput. 25(24): 15269-15280 (2021) - [c13]Duhita Wani, Tomás Maul:
Image Super-Resolution for Arthropod Identification. CSSE 2021: 317-324 - [c12]Goh Howe Seng, Tomás Maul, Manav Nitin Kapadnis:
Compositional Committees of Tiny Networks. ICONIP (6) 2021: 389-396 - [i11]Mohammed Amer, Tomás Maul, Iman Yi Liao:
Balancing Accuracy and Latency in Multipath Neural Networks. CoRR abs/2104.12040 (2021) - 2020
- [j10]Mohammed Amer, Tomás Maul:
Path Capsule Networks. Neural Process. Lett. 52(1): 545-559 (2020) - [c11]Weng San Wong, Mohammed Amer, Tomás 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, Tomás Maul:
Towards a Universal Gating Network for Mixtures of Experts. CoRR abs/2011.01613 (2020)
2010 – 2019
- 2019
- [j9]Mohammed Amer, Tomás 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, Tomás Henrique Maul:
Recognizing hidden emotions from difference image using mean local mapped pattern. Multim. Tools Appl. 78(15): 21485-21520 (2019) - [i9]Mohammed Amer, Tomás Maul:
Path Capsule Networks. CoRR abs/1902.03760 (2019) - [i8]Mohammed Amer, Tomás Maul:
A Review of Modularization Techniques in Artificial Neural Networks. CoRR abs/1904.12770 (2019) - [i7]Mohammed Amer, Tomás Maul:
Weight Map Layer for Noise and Adversarial Attack Robustness. CoRR abs/1905.00568 (2019) - [i6]Kasra Babaei, Zhiyuan Chen, Tomás Maul:
Detecting Point Outliers Using Prune-based Outlier Factor (PLOF). CoRR abs/1911.01654 (2019) - [i5]Mohammed Amer, Tomás Maul:
Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing. CoRR abs/1912.04508 (2019) - [i4]Kasra Babaei, Zhiyuan Chen, Tomás Maul:
Data Augmentation by AutoEncoders for Unsupervised Anomaly Detection. CoRR abs/1912.13384 (2019) - [i3]Kasra Babaei, Zhiyuan Chen, Tomás Maul:
AEGR: A simple approach to gradient reversal in autoencoders for network anomaly detection. CoRR abs/1912.13387 (2019) - 2018
- [j7]Kien Tuong Phan, Tomás 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, Tomás 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, Tomás Maul:
Local receptive field constrained deep networks. Inf. Sci. 349-350: 229-247 (2016) - [j4]Tomás Henrique Maul:
Improving Neuroevolution with Complementarity-Based Selection Operators. Neural Process. Lett. 44(3): 887-911 (2016) - [c10]Kien Tuong Phan, Tomás 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, Tomás 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, Tomás 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, Tomás Maul, Neil Mennie:
Luminophonics experiment: A user study on visual sensory substitution device. PeerJ Prepr. 3: e1289 (2015) - 2014
- [c8]Tomás Maul, Andrzej Bargiela, Siang Yew Chong, Abdullahi S. Adamu:
Towards Evolutionary Deep Neural Networks. ECMS 2014: 319-325 - [c7]Diána Turcsány, Andrzej Bargiela, Tomás Maul:
Modelling Retinal Feature Detection With Deep Belief Networks In A Simulated Environment. ECMS 2014: 364-370 - 2013
- [j3]Tomás Maul:
Early experiments with neural diversity machines. Neurocomputing 113: 36-48 (2013) - 2011
- [j2]Tomás Maul, Sapiyan Baba:
Unsupervised learning in second-order neural networks for motion analysis. Neurocomputing 74(6): 884-895 (2011) - [j1]Tomás 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]Tomás Maul, Andrzej Bargiela, Yuying Yan, Nan Gao:
Simulation Modelling Of Nanoparticle Assemblies Formed By Spray Deposition. ECMS 2011: 254-260 - 2010
- [c5]Tomás Maul, Andrzej Bargiela, Jung Ren Lee:
A Neuroalgorithmic Investigation Of The Outer Retina. ECMS 2010: 337-343
2000 – 2009
- 2009
- [c4]Tomás Maul, Sapiyan Baba:
Neural Clustering Of Correspondences For Visual Pose Estimation. ECMS 2009: 820-826 - [c3]Norshuhada Samudin, Wan Noorshahida Mohd Isa, Tomás 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, Tomás Maul, Weng-Kin Lai:
Investigations into Particle Swarm Optimization for Multi-class Shape Recognition. ICONIP (2) 2008: 599-606 - 2005
- [c1]Tomás 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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last updated on 2024-10-07 22:10 CEST by the dblp team
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