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2020 – today
- 2025
[j5]Albert Calvo, Santiago Escuder, Nil Ortiz, Josep Escrig, Maxime Compastié:
RBD24 : A labelled dataset with risk activities using log application data. Comput. Secur. 150: 104290 (2025)- 2024
- [j4]Estel Ferrer
, Joan Adrià Ruiz De Azua, Francesc Betorz, Josep Escrig:
Inter-Satellite Link Prediction with Supervised Learning Based on Kepler and SGP4 Orbits. Int. J. Comput. Intell. Syst. 17(1): 217 (2024) - [c11]Josep Escrig, Adriana Fernández-Fernández, Rizkallah Touma:
Optimizing Energy Consumption of Kubernetes Clusters with Deep Reinforcement Learning. CCIA 2024: 26-35 - [c10]Alex Sánchez, Sergio Montoya, Josep Escrig, Iván Huerta:
Automatic Catalan Keyword Spotting Database Generator. CCIA 2024: 122-125 - 2023
- [c9]Estel Ferrer, Joan Adrià Ruiz De Azua, Josep Escrig:
Inter-Satellite Link Prediction with Supervised Learning Based on Kepler and SGP4 Orbits. CCIA 2023: 7-15 - [c8]Sergi Sánchez Deutsch, Ivan Huerta Casado, Josep Escrig:
A Real-World Dataset for Benchmarking False Alarm Rate in Keyword Spotting. CCIA 2023: 283-286 - [c7]Albert Calvo, Santiago Escuder, Josep Escrig, Marta Arias, Nil Ortiz, Jordi Guijarro:
A Data-driven Approach for Risk Exposure Analysis in Enterprise Security. DSAA 2023: 1-9 - [c6]Albert Calvo, Santiago Escuder, Josep Escrig, Xavier Marrugat-Plaza, Nil Ortiz, Jordi Guijarro:
Achieving High-Fidelity Explanations for Risk Exposition Assessment in the Cybersecurity Domain. eCrime 2023: 1-10 - [c5]Estel Ferrer, Josep Escrig, Joan Adrià Ruiz De Azua:
Inter-Satellite Link Prediction for Non-Terrestrial Networks Using Supervised Learning. EuCNC/6G Summit 2023: 258-263 - [c4]Marisa Catalan, Mohamad Hjeij, Aleix Boixader, Percy Bonett, Mario Montagud, Josep Escrig, Josep Brugués, Toni Adame, Carlos Labella, Iván Huerta, Miguel Urias:
Towards IoT Ambient Intelligence for Industry 4.0. FiCloud 2023: 142-148 - [c3]Martín Trullenque Ortiz, Oriol Salient, Daniel Camps-Mur, Josep Escrig, Jad Nasreddine, Jordi Pérez-Romero:
On the Application of Q-learning for Mobility Load Balancing in Realistic Vehicular Scenarios. VTC2023-Spring 2023: 1-7 - 2022
- [c2]Martín Trullenque Ortiz, Oriol Sallent, Daniel Camps-Mur, Josep Escrig, Carlos Herranz:
Analysis of Vehicular Scenarios and Mitigation of Cell Overload due to Traffic Congestions. VTC Spring 2022: 1-6 - [c1]Martín Trullenque Ortiz, Oriol Sallent, Daniel Camps-Mur, Josep Escrig, Carlos Herranz-Claveras, Jad Nasreddine, Jordi Pérez-Romero:
On Alleviating Cell Overload in Vehicular Scenarios. VTC Fall 2022: 1-7 - 2021
- [j3]Christian Vitale, Nikos Piperigkos, Christos Laoudias, Georgios Ellinas, Jordi Casademont, Josep Escrig, Andreas Kloukiniotis, Aris S. Lalos, Konstantinos Moustakas, Rodrigo Diaz Rodriguez, Daniel Baños, Gemma Roqueta Crusats, Petros Kapsalas, Klaus-Peter Hofmann, Pouria Sayyad Khodashenas:
CARAMEL: results on a secure architecture for connected and autonomous vehicles detecting GPS spoofing attacks. EURASIP J. Wirel. Commun. Netw. 2021(1): 115 (2021) - 2020
- [j2]Oliver J. Fisher, Nicholas James Watson, Josep Escrig, Rob Witt, Laura Porcu, Darren Bacon, Martin Rigley, Rachel L. Gomes:
Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems. Comput. Chem. Eng. 140: 106881 (2020) - [j1]Alessandro Simeone, Elliot Woolley, Josep Escrig, Nicholas James Watson:
Intelligent Industrial Cleaning: A Multi-Sensor Approach Utilising Machine Learning-Based Regression. Sensors 20(13): 3642 (2020)
Coauthor Index
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last updated on 2025-01-09 19:30 CET by the dblp team
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