Tomás Maul

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 25

Top Topics

Greater Robustness

Anomaly Detection

Top Venues

Publications

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) (2024)
Muhammad Waqas, Tomás Maul, Amr Ahmed, Iman Yi Liao
Evaluation of Post-hoc Interpretability Methods in Breast Cancer Histopathological Image Classification. BICS (2023)
Qichao Chen, Zhiyuan Chen, Tomás Maul, Kuan Li, Jianping Yin
Outlier Exposure with Focal Loss for Out-of-distribution Detection. ACAI (2023)
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)
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)
Muhammad Waqas, Tomás Maul, Iman Yi Liao, Amr Ahmed
Lightweight Deep Network for the Classification of Breast Cancer Histopathological Images. CISP-BMEI (2022)
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)
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) (2022)
Chen Wen Kang, Chua Meng Hong, Tomás Maul
Towards data-free gating of heterogeneous pre-trained neural networks. Appl. Intell. 51 (11) (2021)
Duhita Wani, Tomás Maul
Image Super-Resolution for Arthropod Identification. CSSE (2021)
Goh Howe Seng, Tomás Maul, Manav Nitin Kapadnis
Compositional Committees of Tiny Networks. ICONIP (6) (2021)
Kasra Babaei, Zhiyuan Chen, Tomás Maul
AEGR: a simple approach to gradient reversal in autoencoders for network anomaly detection. Soft Comput. 25 (24) (2021)
Mohammed Amer, Tomás Maul, Iman Yi Liao
Balancing Accuracy and Latency in Multipath Neural Networks. CoRR (2021)
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)
Mohammed Amer, Tomás Maul
Path Capsule Networks. Neural Process. Lett. 52 (1) (2020)
Chen Wen Kang, Chua Meng Hong, Tomás Maul
Towards a Universal Gating Network for Mixtures of Experts. CoRR (2020)
Mohammed Amer, Tomás Maul
Weight Map Layer for Noise and Adversarial Attack Robustness. CoRR (2019)
Mohammed Amer, Tomás Maul
Path Capsule Networks. CoRR (2019)
Mohammed Amer, Tomás Maul
Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing. CoRR (2019)
Kasra Babaei, Zhiyuan Chen, Tomás Maul
Data Augmentation by AutoEncoders for Unsupervised Anomaly Detection. CoRR (2019)
Mohammed Amer, Tomás Maul
A review of modularization techniques in artificial neural networks. Artif. Intell. Rev. 52 (1) (2019)
Kasra Babaei, Zhiyuan Chen, Tomás Maul
Detecting Point Outliers Using Prune-based Outlier Factor (PLOF). CoRR (2019)
Mohammed Amer, Tomás Maul
A Review of Modularization Techniques in Artificial Neural Networks. CoRR (2019)
Kasra Babaei, Zhiyuan Chen, Tomás Maul
AEGR: A simple approach to gradient reversal in autoencoders for network anomaly detection. CoRR (2019)
Diána Turcsány, Andrzej Bargiela, Tomás Maul
Local receptive field constrained deep networks. Inf. Sci. (2016)
Shern Shiou Tan, Tomás Maul, Neil Mennie
Luminophonics experiment: A user study on visual sensory substitution device. PeerJ Prepr. 3 (2015)
Diána Turcsány, Andrzej Bargiela, Tomás Maul
Modelling Retinal Feature Detection With Deep Belief Networks In A Simulated Environment. ECMS (2014)
Tomás Maul, Andrzej Bargiela, Siang Yew Chong, Abdullahi S. Adamu
Towards Evolutionary Deep Neural Networks. ECMS (2014)
Tomás Maul
Early experiments with neural diversity machines. Neurocomputing 113 (2013)
Tomás Maul, Sapiyan Baba
Unsupervised learning in second-order neural networks for motion analysis. Neurocomputing 74 (6) (2011)
Tomás Maul, Andrzej Bargiela, Yuying Yan, Nan Gao
Simulation Modelling Of Nanoparticle Assemblies Formed By Spray Deposition. ECMS (2011)
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) (2011)
Tomás Maul, Andrzej Bargiela, Jung Ren Lee
A Neuroalgorithmic Investigation Of The Outer Retina. ECMS (2010)
Tomás Maul, Sapiyan Baba
Neural Clustering Of Correspondences For Visual Pose Estimation. ECMS (2009)
Norshuhada Samudin, Wan Noorshahida Mohd Isa, Tomás Maul, Weng-Kin Lai
Analysis of Gait Features between Loaded and Normal Gait. SITIS (2009)
Ee Lee Ng, Mei Kuan Lim, Tomás Maul, Weng-Kin Lai
Investigations into Particle Swarm Optimization for Multi-class Shape Recognition. ICONIP (2) (2008)
Tomás Maul, Sapiyan Baba, Azwina M. Yusof
Dynamic Inputs and Attraction Force Analysis for Visual Invariance and Transformation Estimation. ICNC (1) (2005)