Tomás Maul

  • The University of Nottingham Malaysia Campu

According to our database1, Tomás Maul authored at least 36 papers between 2005 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



U-Net skip-connection architectures for the automated counting of microplastics.
Neural Comput. Appl., 2022

Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective.
CoRR, 2022

Towards Idea Mining: Problem-Solution Phrase Extraction from Text.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

AEGR: a simple approach to gradient reversal in autoencoders for network anomaly detection.
Soft Comput., 2021

Balancing Accuracy and Latency in Multipath Neural Networks.
CoRR, 2021

Towards data-free gating of heterogeneous pre-trained neural networks.
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

Compositional Committees of Tiny Networks.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Image Super-Resolution for Arthropod Identification.
Proceedings of the CSSE 2021: 2021 4th International Conference on Computer Science and Software Engineering, Singapore, October 22, 2021

Path Capsule Networks.
Neural Process. Lett., 2020

Towards a Universal Gating Network for Mixtures of Experts.
CoRR, 2020

Conditional Generative Adversarial Networks for Data Augmentation in Breast Cancer Classification.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2020

Recognizing hidden emotions from difference image using mean local mapped pattern.
Multim. Tools Appl., 2019

Data Augmentation by AutoEncoders for Unsupervised Anomaly Detection.
CoRR, 2019

Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing.
CoRR, 2019

Detecting Point Outliers Using Prune-based Outlier Factor (PLOF).
CoRR, 2019

Weight Map Layer for Noise and Adversarial Attack Robustness.
CoRR, 2019

A review of modularization techniques in artificial neural networks.
Artif. Intell. Rev., 2019

DropCircuit : A Modular Regularizer for Parallel Circuit Networks.
Neural Process. Lett., 2018

An Empirical Study on Improving the Speed and Generalization of Neural Networks Using a Parallel Circuit Approach.
Int. J. Parallel Program., 2017

Improving Neuroevolution with Complementarity-Based Selection Operators.
Neural Process. Lett., 2016

Local receptive field constrained deep networks.
Inf. Sci., 2016

Improving Neural Network Generalization by Combining Parallel Circuits with Dropout.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Luminophonics experiment: A user study on visual sensory substitution device.
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

Modelling Retinal Feature Detection With Deep Belief Networks In A Simulated Environment.
Proceedings of the 28th European Conference on Modelling and Simulation, 2014

Towards Evolutionary Deep Neural Networks.
Proceedings of the 28th European Conference on Modelling and Simulation, 2014

Early experiments with neural diversity machines.
Neurocomputing, 2013

Cybernetics of Vision Systems: Toward an Understanding of Putative Functions of the Outer Retina.
IEEE Trans. Syst. Man Cybern. Part A, 2011

Unsupervised learning in second-order neural networks for motion analysis.
Neurocomputing, 2011

Simulation Modelling Of Nanoparticle Assemblies Formed By Spray Deposition.
Proceedings of the 25th European Conference on Modelling and Simulation, 2011

A Neuroalgorithmic Investigation Of The Outer Retina.
Proceedings of the European Conference on Modelling and Simulation, 2010

Analysis of Gait Features between Loaded and Normal Gait.
Proceedings of the Fifth International Conference on Signal-Image Technology & Internet-Based Systems, 2009

Neural Clustering Of Correspondences For Visual Pose Estimation.
Proceedings of the European Conference on Modelling and Simulation, 2009

Investigations into Particle Swarm Optimization for Multi-class Shape Recognition.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Dynamic Inputs and Attraction Force Analysis for Visual Invariance and Transformation Estimation.
Proceedings of the Advances in Natural Computation, First International Conference, 2005