Carles Mateu

Orcid: 0000-0002-4864-0328

According to our database1, Carles Mateu authored at least 40 papers between 2005 and 2023.

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

Timeline

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Bibliography

2023
Explainable Machine Learning Models for Predicting COVID-19 Cases in Catalonia Based on Wastewater Monitoring Data.
Proceedings of the Artificial Intelligence Research and Development, 2023

2022
Fusing feature engineering and deep learning: A case study for malware classification.
Expert Syst. Appl., 2022

Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning.
Comput. Secur., 2022

2021
Auditing static machine learning anti-Malware tools against metamorphic attacks.
Comput. Secur., 2021

2020
The rise of machine learning for detection and classification of malware: Research developments, trends and challenges.
J. Netw. Comput. Appl., 2020

HYDRA: A multimodal deep learning framework for malware classification.
Comput. Secur., 2020

Orthrus: A Bimodal Learning Architecture for Malware Classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Using convolutional neural networks for classification of malware represented as images.
J. Comput. Virol. Hacking Tech., 2019

A Hierarchical Convolutional Neural Network for Malware Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

An Android Malware Detection Framework Using Graph Embeddings and Convolutional Neural Networks.
Proceedings of the Artificial Intelligence Research and Development, 2019

2018
An argumentative approach for discovering relevant opinions in Twitter with probabilistic valued relationships.
Pattern Recognit. Lett., 2018

An End-to-End Deep Learning Architecture for Classification of Malware's Binary Content.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Classification of Malware by Using Structural Entropy on Convolutional Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Weighted argumentation for analysis of discussions in Twitter.
Int. J. Approx. Reason., 2017

Convolutional Neural Networks for Classification of Malware Assembly Code.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

2016
A predictor model for the composting process on an industrial scale based on Markov processes.
Environ. Model. Softw., 2016

On the performance of MaxSAT and MinSAT solvers on 2SAT-MaxOnes.
Ann. Math. Artif. Intell., 2016

Support Analysis of Weighted Discussions in Twitter.
Proceedings of the Artificial Intelligence Research and Development, 2016

2015
Approximate dynamic programming for automated vacuum waste collection systems.
Environ. Model. Softw., 2015

Solving the Routing and Wavelength Assignment problem with conflict-driven ASP solvers.
AI Commun., 2015

2014
Modeling energy consumption in automated vacuum waste collection systems.
Environ. Model. Softw., 2014

2013
On the hardness of solving edge matching puzzles as SAT or CSP problems.
Constraints An Int. J., 2013

Solving Routing and Wavelength Assignment Problem with Conflict-Driven ASP Solvers.
Proceedings of the Artificial Intelligence Research and Development, 2013

2012
The Sudoku completion problem with rectangular hole pattern is NP-complete.
Discret. Math., 2012

Optimizing Energy Consumption in Automated Vacuum Waste Collection Systems.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

The Automated Vacuum Waste Collection Optimization Problem.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Generating highly balanced sudoku problems as hard problems.
J. Heuristics, 2011

Towards an Efficient Use of Resources in All-Optical Networks.
Proceedings of the Artificial Intelligence Research and Development, 2011

On 2SAT-MaxOnes with Unbalanced Polarity: from Easy Problems to Hard MaxClique Problems.
Proceedings of the Artificial Intelligence Research and Development, 2011

2010
Solving Pseudo-Boolean Modularity Constraints.
Proceedings of the ECAI 2010, 2010

2009
CSP problems as algorithmic benchmarks: measures, methods and models.
PhD thesis, 2009

Bounding the Phase Transition on Edge Matching Puzzles.
Proceedings of the ISMVL 2009, 2009

2008
Hard SAT and CSP instances with Expander Graphs.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Edge Matching Puzzles as Hard SAT/CSP Benchmarks.
Proceedings of the Principles and Practice of Constraint Programming, 2008

From High Girth Graphs to Hard Instances.
Proceedings of the Principles and Practice of Constraint Programming, 2008

How Hard is a Commercial Puzzle: the Eternity II Challenge.
Proceedings of the Artificial Intelligence Research and Development, 2008

Generating Hard SAT/CSP Instances Using Expander Graphs.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
On Balanced CSPs with High Treewidth.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
The Impact of Balancing on Problem Hardness in a Highly Structured Domain.
Proceedings of the Proceedings, 2006

2005
Statistical Modelling of CSP Solving Algorithms Performance.
Proceedings of the Principles and Practice of Constraint Programming, 2005


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