Josep Escrig

18 papers A 1B 1Journal 6Unranked 10
YearRankTypeTitle / Venue / Authors
2025 A conf
GDNeRF: Generalizable Depth-based NeRF for sparse view synthesis.
ICME
Sergio Montoya de Paco, Iván Huerta, Josep Escrig
2025 J jnl
IRIS-AI: An AI-Based Resource Recommender for Emergency Decision Support Systems of Fire Departments.
Int. J. Comput. Intell. Syst.
Sergi Mercadé, Miquel Tarzan, Daniel Alzueta, Karla Trejo, Josep Escrig, Sergi Serra, Rizkallah Touma
2025 J jnl
RBD24 : A labelled dataset with risk activities using log application data.
Comput. Secur.
Albert Calvo, Santiago Escuder, Nil Ortiz, Josep Escrig, Maxime Compastié
2024 — conf
Automatic Catalan Keyword Spotting Database Generator.
CCIA
Alex Sánchez, Sergio Montoya, Josep Escrig, Iván Huerta
2024 J jnl
Inter-Satellite Link Prediction with Supervised Learning Based on Kepler and SGP4 Orbits.
Int. J. Comput. Intell. Syst.
Estel Ferrer, Joan Adrià Ruiz-de-Azua, Francesc Betorz, Josep Escrig
2024 — conf
Optimizing Energy Consumption of Kubernetes Clusters with Deep Reinforcement Learning.
CCIA
Josep Escrig, Adriana Fernández-Fernández, Rizkallah Touma
2023 B conf
A Data-driven Approach for Risk Exposure Analysis in Enterprise Security.
DSAA
Albert Calvo, Santiago Escuder, Josep Escrig, Marta Arias, Nil Ortiz, Jordi Guijarro
2023 — conf
A Real-World Dataset for Benchmarking False Alarm Rate in Keyword Spotting.
CCIA
Sergi Sánchez Deutsch, Ivan Huerta Casado, Josep Escrig
2023 — conf
Achieving High-Fidelity Explanations for Risk Exposition Assessment in the Cybersecurity Domain.
eCrime
Albert Calvo, Santiago Escuder, Josep Escrig, Xavier Marrugat-Plaza, Nil Ortiz, Jordi Guijarro
2023 — conf
Inter-Satellite Link Prediction for Non-Terrestrial Networks Using Supervised Learning.
EuCNC/6G Summit
Estel Ferrer, Josep Escrig, Joan Adrià Ruiz-de-Azua
2023 — conf
Inter-Satellite Link Prediction with Supervised Learning Based on Kepler and SGP4 Orbits.
CCIA
Estel Ferrer, Joan Adrià Ruiz-de-Azua, Josep Escrig
2023 — conf
On the Application of Q-learning for Mobility Load Balancing in Realistic Vehicular Scenarios.
VTC2023-Spring
Martín Trullenque Ortiz, Oriol Salient, Daniel Camps-Mur, Josep Escrig, Jad Nasreddine, Jordi Pérez-Romero
2023 — conf
Towards IoT Ambient Intelligence for Industry 4.0.
FiCloud
Marisa Catalan, Mohamad Hjeij, Aleix Boixader, Percy Bonett, Mario Montagud, Josep Escrig, Josep Brugués, Toni Adame, Carlos Labella, Iván Huerta, Miguel Urias
2022 — conf
Analysis of Vehicular Scenarios and Mitigation of Cell Overload due to Traffic Congestions.
VTC Spring
Martín Trullenque Ortiz, Oriol Sallent, Daniel Camps-Mur, Josep Escrig, Carlos Herranz
2022 — conf
On Alleviating Cell Overload in Vehicular Scenarios.
VTC Fall
Martín Trullenque Ortiz, Oriol Sallent, Daniel Camps-Mur, Josep Escrig, Carlos Herranz-Claveras, Jad Nasreddine, Jordi Pérez-Romero
2021 J jnl
CARAMEL: results on a secure architecture for connected and autonomous vehicles detecting GPS spoofing attacks.
EURASIP J. Wirel. Commun. Netw.
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
2020 J jnl
Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems.
Comput. Chem. Eng.
Oliver J. Fisher, Nicholas James Watson, Josep Escrig, Rob Witt, Laura Porcu, Darren Bacon, Martin Rigley, Rachel L. Gomes
2020 J jnl
Intelligent Industrial Cleaning: A Multi-Sensor Approach Utilising Machine Learning-Based Regression.
Sensors
Alessandro Simeone, Elliot Woolley, Josep Escrig, Nicholas James Watson