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2020 – today
- 2023
[c8]Júlia Riera
, David Solans, Marzieh Karimi-Haghighi, Carlos Castillo, Caterina Calsamiglia:
Gender Disparities in Child Custody Sentencing in Spain: a Data Driven Analysis. ICAIL 2023: 237-246- 2022
- [b1]David Solans:
Algorithmic fairness in practice: data, models and interactions. Pompeu Fabra University, Spain, 2022 - [i3]David Solans, Andrea Beretta, Manuel Portela, Carlos Castillo, Anna Monreale:
Human Response to an AI-Based Decision Support System: A User Study on the Effects of Accuracy and Bias. CoRR abs/2203.15514 (2022) - 2021
- [c7]David Solans, Francesco Fabbri, Caterina Calsamiglia, Carlos Castillo, Francesco Bonchi:
Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market. AIES 2021: 978-988 - [c6]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, Manuel Portela:
Task-Specific Automation in Deep Learning Processes. DEXA Workshops 2021: 159-169 - [c5]David Solans, Christopher Tauchmann, Aideen Farrell, Karolin Kappler, Hans-Hendrik Huber, Carlos Castillo, Kristian Kersting:
Learning to Classify Morals and Conventions: Artificial Intelligence in Terms of the Economics of Convention. ICWSM 2021: 691-702 - 2020
- [j1]Álvaro Brandón, Marc Solé, Alberto Huélamo, David Solans, María S. Pérez, Victor Muntés-Mulero:
Graph-based root cause analysis for service-oriented and microservice architectures. J. Syst. Softw. 159 (2020) - [c4]David Solans, Battista Biggio, Carlos Castillo:
Poisoning Attacks on Algorithmic Fairness. ECML/PKDD (1) 2020: 162-177 - [i2]David Solans, Battista Biggio, Carlos Castillo:
Poisoning Attacks on Algorithmic Fairness. CoRR abs/2004.07401 (2020)
2010 – 2019
- 2019
- [i1]David Solans, Christopher Tauchmann, Aideen Farrell, Karolin Kappler, Hans-Hendrik Huber, Carlos Castillo:
Conflict and Cooperation: AI Research and Development in terms of the Economy of Conventions. CoRR abs/1910.12591 (2019) - 2018
- [c3]Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Bernhard Moser, Natalia Shepeleva, Francesco Conti, Luca Benini, Oscar Ripolles, David Solans, Maura Pintor, Battista Biggio, Todor P. Stefanov, Svetlana Minakova, Nikolaos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo:
ALOHA: an architectural-aware framework for deep learning at the edge. INTESA@ESWEEK 2018: 19-26 - [c2]Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Maura Pintor, Battista Biggio, Oscar Ripolles, David Solans, Francesco Conti, Luca Benini, Todor P. Stefanov, Svetlana Minakova, Bernhard Moser, Natalia Shepeleva, Michael Masin, Francesca Palumbo, Nikos Fragoulis, Ilias Theodorakopoulos:
Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project. ICM 2018: 52-55 - 2016
- [c1]Ricardo Jimenez, Marta Patiño, Valerio Vianello, Ivan Brondino, Ricardo Vilaça, Jorge Teixeira, Miguel Biscaia, Giannis Drossis, Damien Michel, Chryssi Birliraki, George Margetis, Antonis A. Argyros, Constantine Stephanidis, Luigi Sgaglione, Gaetano Papale, Giavanni Mazzeo, Ferdinando Campanile, Marc Solé, Victor Muntés-Mulero, David Solans, Alberto Huélamo, Pavlos Kranas, Dora Varvarigou, Vrettos Moulos, Fotis Aisopos:
Scalable and Efficient Big Data Analytics - The LeanBigData Approach. EPS 2016
Coauthor Index
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