Carles Mateu

发表

Edge Matching Puzzles as Hard SAT/CSP Benchmarks

Carlos Ansótegui, Ramón Béjar, Cèsar Fernández, 2008, CP.

The more the merrier? Number of reviews versus score on TripAdvisor and Booking.com

Eva Martín-Fuentes, C. Fernández, Carles Mateu, 2020 .

Are users’ ratings on Tripadvisor similar to hotel categories in Europe?

Eva Martín-Fuentes, C. Fernández, Carles Mateu, 2018, Cuadernos de Turismo.

Approach for the analysis of TES technologies aiming towards a circular economy: Case study of building-like cubicles

D. Boer, L. Cabeza, M. Segarra, 2020 .

Using convolutional neural networks for classification of malware represented as images

Daniel Gibert Llauradó, Jordi Planes, Carles Mateu, 2018, Journal of Computer Virology and Hacking Techniques.

Convolutional Neural Networks for Classification of Malware Assembly Code

Daniel Gibert, Javier Béjar, Carles Mateu, 2017, CCIA.

Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification

Jordi Planes, Carles Mateu, Daniel Gibert, 2022, Expert Syst. Appl..

An Android Malware Detection Framework Using Graph Embeddings and Convolutional Neural Networks

Daniel Gibert, Carles Mateu, Ruben Martins, 2019, CCIA.

An argumentative approach for discovering relevant opinions in Twitter with probabilistic valued relationships

Teresa Alsinet, Josep Argelich, Ramón Béjar, 2017, Pattern Recognit. Lett..

Weighted argumentation for analysis of discussions in Twitter

Teresa Alsinet, Josep Argelich, Ramón Béjar, 2017, Int. J. Approx. Reason..

On the hardness of solving edge matching puzzles as SAT or CSP problems

Carlos Ansótegui, Ramón Béjar, Cèsar Fernández, 2012, Constraints.

How Hard is a Commercial Puzzle: the Eternity II Challenge

Carlos Ansótegui, Ramón Béjar, Cèsar Fernández, 2008, CCIA.

On Balanced CSPs with High Treewidth

Carlos Ansótegui, Ramón Béjar, Cèsar Fernández, 2007, AAAI.

Solving the Routing and Wavelength Assignment problem with conflict-driven ASP solvers

Teresa Alsinet, Ramón Béjar, Cèsar Fernández, 2013, AI Commun..

Classification of Malware by Using Structural Entropy on Convolutional Neural Networks

Daniel Gibert, Carles Mateu, Jordi Planes, 2018, AAAI.

HYDRA: A multimodal deep learning framework for malware classification

Daniel Gibert, Carles Mateu, Jordi Planes, 2020, Comput. Secur..

Machine learning solutions in sewer systems: a bibliometric analysis

R. Béjar, Carles Mateu, Marc Ribalta, 2022, Urban Water Journal.

The rise of machine learning for detection and classification of malware: Research developments, trends and challenges

Daniel Gibert, Carles Mateu, Jordi Planes, 2020, J. Netw. Comput. Appl..

A predictor model for the composting process on an industrial scale based on Markov processes

Carles Mateu, Francina Sole-Mauri, Cèsar Fernández, 2016, Environ. Model. Softw..

Does Verifying Uses Influence Rankings? Analyzing Booking.Com and Tripadvisor

Eva Martín-Fuentes, C. Fernández, Carles Mateu, 2018 .

Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning

Matt Fredrikson, Daniel Gibert, Carles Mateu, 2021, Comput. Secur..

A Hierarchical Convolutional Neural Network for Malware Classification

Daniel Gibert, Carles Mateu, Jordi Planes, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

An End-to-End Deep Learning Architecture for Classification of Malware's Binary Content

Daniel Gibert, Carles Mateu, Jordi Planes, 2018, ICANN.

Modelling a grading scheme for peer-to-peer accommodation: Stars for Airbnb

Carles Mateu, Estela Marine-Roig, Eva Martin-Fuentes, 2018 .

Using convolutional neural networks for classification of malware represented as images

Daniel Gibert, Carles Mateu, Jordi Planes, 2018, Journal of Computer Virology and Hacking Techniques.

Optimizing Energy Consumption in Automated Vacuum Waste Collection Systems

Ramón Béjar, Felip Manyà, Carles Mateu, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

Modeling energy consumption in automated vacuum waste collection systems

Cèsar Fernández, Felip Manyà, Carles Mateu, 2014, Environ. Model. Softw..

Sediment Level Prediction of a Combined Sewer System Using Spatial Features

L. Corominas, R. Béjar, Carles Mateu, 2021, Sustainability.

Control of a PCM ventilated facade using reinforcement learning techniques

Luisa F. Cabeza, Cèsar Fernández, Albert Castell, 2015 .

Generating highly balanced sudoku problems as hard problems

Carlos Ansótegui, Ramón Béjar, Cèsar Fernández, 2011, J. Heuristics.

Renovation assessment of building districts: Case studies and implications to the positive energy districts definition

L. Cabeza, M. Cellura, F. Guarino, 2023, Energy and Buildings.

Approximate dynamic programming for automated vacuum waste collection systems

Felip Manyà, Carles Mateu, Francina Sole-Mauri, 2015, Environ. Model. Softw..

On the hardness of solving edge matching puzzles as SAT or CSP problems

R. Béjar, C. Ansótegui, C. Fernández, 2012, Constraints.

Orthrus: A Bimodal Learning Architecture for Malware Classification

Daniel Gibert, Carles Mateu, Jordi Planes, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Auditing static machine learning anti-Malware tools against metamorphic attacks

Daniel Gibert, Carles Mateu, Jordi Planes, 2021, Comput. Secur..

On the performance of MaxSAT and MinSAT solvers on 2SAT-MaxOnes

Josep Argelich, Ramón Béjar, Cèsar Fernández, 2016, Annals of Mathematics and Artificial Intelligence.

From High Girth Graphs to Hard Instances

Carlos Ansótegui, Ramón Béjar, Cèsar Fernández, 2008, CP.

Hard SAT and CSP instances with Expander Graphs

Carlos Ansótegui, Ramón Béjar, Cèsar Fernández, 2008, ISAIM.

TREBALL FINAL DE MÀSTER

Carles Mateu, J. Pascual, 2019 .