Scalable and Efficient Big Data Analytics - The LeanBigData Approach. - Ricardo Jimenez; Marta Patiño 001; Valerio Vianello; Ivan Brondino; Ricardo Vilaça; Jorge Teixeira; Miguel Biscaia; Giannis Drossis; Damien Michel; Chryssi Birliraki; George Margetis; Antonis A. Argyros; et al. (EPS, 2016)

ALOHA: an architectural-aware framework for deep learning at the edge. - Paolo Meloni; Daniela Loi; Gianfranco Deriu; Andy D. Pimentel; Dolly Sapra; Bernhard Moser 001; Natalia Shepeleva; Francesco Conti 001; Luca Benini; Oscar Ripolles; David Solans; Maura Pintor; et al. (INTESA@ESWEEK, 2018)

Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project. - Paolo Meloni; Daniela Loi; Gianfranco Deriu; Andy D. Pimentel; Dolly Sapra; Maura Pintor; Battista Biggio; Oscar Ripolles; David Solans; Francesco Conti 001; Luca Benini; Todor P. Stefanov; et al. (ICM, 2018)

Conflict and Cooperation: AI Research and Development in terms of the Economy of Conventions. - David Solans; Christopher Tauchmann; Aideen Farrell; Karolin Kappler; Hans-Hendrik Huber; Carlos Castillo 001 (CoRR, 2019)

Poisoning Attacks on Algorithmic Fairness. - David Solans; Battista Biggio; Carlos Castillo 001 (ECML/PKDD (1), 2020)

Graph-based root cause analysis for service-oriented and microservice architectures. - Álvaro Brandón; Marc Solé; Alberto Huélamo; David Solans; María S. Pérez 001; Victor Muntés-Mulero (J. Syst. Softw., 2020)

Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market. - David Solans; Francesco Fabbri; Caterina Calsamiglia; Carlos Castillo 001; Francesco Bonchi (AIES, 2021)

Task-Specific Automation in Deep Learning Processes. - Georg Buchgeher; Gerald Czech; Adriano Souza Ribeiro; Werner Kloihofer; Paolo Meloni; Paola Busia; Gianfranco Deriu; Maura Pintor; Battista Biggio; Cristina Chesta; Luca Rinelli; David Solans; et al. (DEXA Workshops, 2021)

Learning to Classify Morals and Conventions: Artificial Intelligence in Terms of the Economics of Convention. - David Solans; Christopher Tauchmann; Aideen Farrell; Karolin Kappler; Hans-Hendrik Huber; Carlos Castillo 001; Kristian Kersting (ICWSM, 2021)

Human Response to an AI-Based Decision Support System: A User Study on the Effects of Accuracy and Bias. - David Solans; Andrea Beretta; Manuel Portela; Carlos Castillo 001; Anna Monreale (CoRR, 2022)

Algorithmic fairness in practice: data, models and interactions - David Solans (2022)

Gender Disparities in Child Custody Sentencing in Spain: a Data Driven Analysis. - Júlia Riera; David Solans; Marzieh Karimi-Haghighi; Carlos Castillo 001; Caterina Calsamiglia (ICAIL, 2023)

On the Relationship of Social Gender Equality and Grammatical Gender in Pre-Trained Large Language Models. - Magdalena Biesialska; David Solans; Jordi Luque; Carlos Segura (SEPLN Posters, 2024)

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions. - Daniel Mauricio Jimenez Gutierrez; David Solans; Mikko A. Heikkilä; Andrea Vitaletti; Nicolas Kourtellis; Aris Anagnostopoulos; Ioannis Chatzigiannakis (CoRR, 2024)

PSI-PFL: Population Stability Index for Client Selection in non-IID Personalized Federated Learning. - Daniel Mauricio Jimenez Gutierrez; David Solans; Mohammed Elbamby; Nicolas Kourtellis (CoRR, 2025)