Statistical Modelling of CSP Solving Algorithms Performance. - Ramón Béjar; Cèsar Fernández; Carles Mateu (CP, 2005)

The Impact of Balancing on Problem Hardness in a Highly Structured Domain. - Carlos Ansótegui; Ramón Béjar; Cèsar Fernández; Carla P. Gomes; Carles Mateu (AAAI, 2006)

On Balanced CSPs with High Treewidth. - Carlos Ansótegui; Ramón Béjar; Cèsar Fernández; Carles Mateu (AAAI, 2007)

Generating Hard SAT/CSP Instances Using Expander Graphs. - Carlos Ansótegui; Ramón Béjar; Cèsar Fernández; Carles Mateu (AAAI, 2008)

How Hard is a Commercial Puzzle: the Eternity II Challenge. - Carlos Ansótegui; Ramón Béjar; Cèsar Fernández; Carles Mateu (CCIA, 2008)

From High Girth Graphs to Hard Instances. - Carlos Ansótegui; Ramón Béjar; Cèsar Fernández; Carles Mateu (CP, 2008)

Edge Matching Puzzles as Hard SAT/CSP Benchmarks. - Carlos Ansótegui; Ramón Béjar; Cèsar Fernández; Carles Mateu (CP, 2008)

Hard SAT and CSP instances with Expander Graphs. - Carlos Ansótegui; Ramón Béjar; Cèsar Fernández; Carles Mateu (ISAIM, 2008)

Bounding the Phase Transition on Edge Matching Puzzles. - Ramón Béjar; Cèsar Fernández; Carles Mateu; Nuria Pascual (ISMVL, 2009)

CSP problems as algorithmic benchmarks: measures, methods and models. - Carles Mateu (2009)

Solving Pseudo-Boolean Modularity Constraints. - Carlos Ansótegui; Ramón Béjar; Cèsar Fernández; Francesc Guitart; Carles Mateu (ECAI, 2010)

On 2SAT-MaxOnes with Unbalanced Polarity: from Easy Problems to Hard MaxClique Problems. - Josep Argelich; Ramón Béjar; Cèsar Fernández; Carles Mateu (CCIA, 2011)

Towards an Efficient Use of Resources in All-Optical Networks. - Ramón Béjar; Cèsar Fernández; Francesc Guitart; Carles Mateu (CCIA, 2011)

Generating highly balanced sudoku problems as hard problems. - Carlos Ansótegui; Ramón Béjar; Cèsar Fernández; Carla P. Gomes; Carles Mateu (J. Heuristics, 2011)

The Automated Vacuum Waste Collection Optimization Problem. - Ramón Béjar; Cèsar Fernández; Carles Mateu; Felip Manyà; Francina Sole-Mauri; David Vidal (AAAI, 2012)

Optimizing Energy Consumption in Automated Vacuum Waste Collection Systems. - Ramón Béjar; Cèsar Fernández; Felip Manyà; Carles Mateu; Francina Sole-Mauri (ICTAI, 2012)

The Sudoku completion problem with rectangular hole pattern is NP-complete. - Ramón Béjar; Cèsar Fernández; Carles Mateu; Magda Valls (Discret. Math., 2012)

Solving Routing and Wavelength Assignment Problem with Conflict-Driven ASP Solvers. - Ramón Béjar; Cèsar Fernández; Carles Mateu; Francesc Guitart (CCIA, 2013)

On the hardness of solving edge matching puzzles as SAT or CSP problems. - Carlos Ansótegui; Ramón Béjar; Cèsar Fernández; Carles Mateu (Constraints An Int. J., 2013)

Modeling energy consumption in automated vacuum waste collection systems. - Cèsar Fernández; Felip Manyà; Carles Mateu; Francina Sole-Mauri (Environ. Model. Softw., 2014)

Solving the Routing and Wavelength Assignment problem with conflict-driven ASP solvers. - Teresa Alsinet; Ramón Béjar; Cèsar Fernández; Francesc Guitart; Carles Mateu (AI Commun., 2015)

Approximate dynamic programming for automated vacuum waste collection systems. - Cèsar Fernández; Felip Manyà; Carles Mateu; Francina Sole-Mauri (Environ. Model. Softw., 2015)

Support Analysis of Weighted Discussions in Twitter. - Teresa Alsinet; Josep Argelich; Ramón Béjar; Cèsar Fernández; Carles Mateu; Jordi Planes (CCIA, 2016)

On the performance of MaxSAT and MinSAT solvers on 2SAT-MaxOnes. - Josep Argelich; Ramón Béjar; Cèsar Fernández; Carles Mateu; Jordi Planes (Ann. Math. Artif. Intell., 2016)

A predictor model for the composting process on an industrial scale based on Markov processes. - Cèsar Fernández; Carles Mateu; Raul Moral; Francina Sole-Mauri (Environ. Model. Softw., 2016)

Convolutional Neural Networks for Classification of Malware Assembly Code. - Daniel Gibert; Javier Béjar; Carles Mateu; Jordi Planes; Daniel Solis; Ramon Vicens (CCIA, 2017)

Weighted argumentation for analysis of discussions in Twitter. - Teresa Alsinet; Josep Argelich; Ramón Béjar; Cèsar Fernández; Carles Mateu; Jordi Planes (Int. J. Approx. Reason., 2017)

Classification of Malware by Using Structural Entropy on Convolutional Neural Networks. - Daniel Gibert; Carles Mateu; Jordi Planes; Ramon Vicens (AAAI, 2018)

An End-to-End Deep Learning Architecture for Classification of Malware's Binary Content. - Daniel Gibert; Carles Mateu; Jordi Planes (ICANN (3), 2018)

An argumentative approach for discovering relevant opinions in Twitter with probabilistic valued relationships. - Teresa Alsinet; Josep Argelich; Ramón Béjar; Cèsar Fernández; Carles Mateu; Jordi Planes (Pattern Recognit. Lett., 2018)

An Android Malware Detection Framework Using Graph Embeddings and Convolutional Neural Networks. - Daniel Gibert; Alba Lamas; Ruben Martins; Carles Mateu; Jordi Planes (CCIA, 2019)

A Hierarchical Convolutional Neural Network for Malware Classification. - Daniel Gibert; Carles Mateu; Jordi Planes (IJCNN, 2019)

Using convolutional neural networks for classification of malware represented as images. - Daniel Gibert; Carles Mateu; Jordi Planes; Ramon Vicens (J. Comput. Virol. Hacking Tech., 2019)

Orthrus: A Bimodal Learning Architecture for Malware Classification. - Daniel Gibert; Carles Mateu; Jordi Planes (IJCNN, 2020)

HYDRA: A multimodal deep learning framework for malware classification. - Daniel Gibert; Carles Mateu; Jordi Planes (Comput. Secur., 2020)

The rise of machine learning for detection and classification of malware: Research developments, trends and challenges. - Daniel Gibert; Carles Mateu; Jordi Planes (J. Netw. Comput. Appl., 2020)

Auditing static machine learning anti-Malware tools against metamorphic attacks. - Daniel Gibert; Carles Mateu; Jordi Planes; João Marques-Silva 001 (Comput. Secur., 2021)

Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning. - Daniel Gibert; Matt Fredrikson; Carles Mateu; Jordi Planes; Quan Le (Comput. Secur., 2022)

Fusing feature engineering and deep learning: A case study for malware classification. - Daniel Gibert; Jordi Planes; Carles Mateu; Quan Le (Expert Syst. Appl., 2022)

Explainable Machine Learning Models for Predicting COVID-19 Cases in Catalonia Based on Wastewater Monitoring Data. - Marc Ribalta; Josep Pueyo-Ros; Lluís Corominas; Ramón Béjar; Carles Mateu; Edgar Rubión (CCIA, 2023)