Daniel Deniz

According to our database, Daniel Deniz authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain.

Matthias De Lange, Warre Veys, Federico Retyk, Daniel Deniz, Warren Jouanneau, Mike Zhang, Aleksander Bielinski, Emma Jouffroy, Nicole Clobes, Nina Baranowska, David Graus, Marc Palyart, Rabih Zbib, Dimitra Gkatzia, Thomas Demeester, Tijl De Bie, Toine Bogers, Jens-Joris Decorte, Jeroen Van Hautte

CoRR, April, 2026

TalentCLEF at CLEF2026: Skill and Job Title Intelligence for Human Capital Management.

Luis Gascó, Hermenegildo Fabregat, Laura García-Sardiña, Paula Estrella, Casimiro Pio Carrino, Daniel Deniz, Álvaro Rodrigo, Rabih Zbib

Proceedings of the Advances in Information Retrieval, 2026

2025

Measuring Gender Bias in Job Title Matching for Grammatical Gender Languages.

Laura García-Sardiña, Hermenegildo Fabregat, Daniel Deniz, Rabih Zbib

CoRR, September, 2025

TalentCLEF at CLEF2025: Skill and Job Title Intelligence for Human Capital Management.

Luis Gascó, Hermenegildo Fabregat, Laura García-Sardiña, Daniel Deniz, Álvaro Rodrigo, Paula Estrella, Rabih Zbib

Proceedings of the Advances in Information Retrieval, 2025

Brief Overview of TalentCLEF 2025.

Luis Gascó, Hermenegildo Fabregat, Laura García-Sardiña, Paula Estrella, Daniel Deniz, Álvaro Rodrigo, Rabih Zbib

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025

Overview of the TalentCLEF 2025: Skill and Job Title Intelligence for Human Capital Management.

Luis Gascó, Hermenegildo Fabregat, Laura García-Sardiña, Paula Estrella, Daniel Deniz, Álvaro Rodrigo, Rabih Zbib

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2025

2024

MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations.

Federico Retyk, Luis Gascó, Casimiro Pio Carrino, Daniel Deniz, Rabih Zbib

Proceedings of the 4th Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2024) co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

Combined Unsupervised and Contrastive Learning for Multilingual Job Recommendation.

Daniel Deniz, Federico Retyk, Laura García-Sardiña, Hermenegildo Fabregat, Luis Gascó, Rabih Zbib

Proceedings of the 4th Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2024) co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

NLP-UNED at eRisk 2024: Approximate Nearest Neighbors with Encoding Refinement for Early Detecting Signs of Anorexia.

Hermenegildo Fabregat, Daniel Deniz, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023

Deep Multimodal Habit Tracking System: A User-adaptive Approach for Low-power Embedded Systems.

Daniel Deniz, Gabriel Jimenez-Perera, Ricardo Nolasco, Javier Corral, Francisco Barranco

J. Signal Process. Syst., September, 2023

Event-based Vision for Early Prediction of Manipulation Actions.

Daniel Deniz, Cornelia Fermüller, Eduardo Ros, Manuel Rodriguez-Alvarez, Francisco Barranco

CoRR, 2023

When Do Neuromorphic Sensors Outperform cameras? Learning from Dynamic Features.

Daniel Deniz, Eduardo Ros, Cornelia Fermüller, Francisco Barranco

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2020

Reconfigurable cyber-physical system for critical infrastructure protection in smart cities via smart video-surveillance.

Juan Isern, Francisco Barranco, Daniel Deniz, Juho Lesonen, Jari Hannuksela, Richard R. Carrillo

Pattern Recognit. Lett., 2020

Reconfigurable Cyber-Physical System for Lifestyle Video-Monitoring via Deep Learning.

Daniel Deniz, Francisco Barranco, Juan Isern, Eduardo Ros

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020