David Solans

According to our database, David Solans authored at least 12 papers between 2016 and 2023.

Collaborative distances:

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

2023

Gender Disparities in Child Custody Sentencing in Spain: a Data Driven Analysis.

Júlia Riera, David Solans, Marzieh Karimi-Haghighi, Carlos Castillo, Caterina Calsamiglia

Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

2022

Algorithmic fairness in practice: data, models and interactions

David Solans

PhD thesis, 2022

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, Anna Monreale

CoRR, 2022

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, Kristian Kersting

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 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, Manuel Portela

Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021

Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market.

David Solans, Francesco Fabbri, Caterina Calsamiglia, Carlos Castillo, Francesco Bonchi

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Graph-based root cause analysis for service-oriented and microservice architectures.

Álvaro Brandón, Marc Solé, Alberto Huélamo, David Solans, María S. Pérez, Victor Muntés-Mulero

J. Syst. Softw., 2020

Poisoning Attacks on Algorithmic Fairness.

David Solans, Battista Biggio, Carlos Castillo

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

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

CoRR, 2019

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, Luca Benini, Todor P. Stefanov, Svetlana Minakova, Bernhard Moser, Natalia Shepeleva, Michael Masin, Francesca Palumbo, Nikos Fragoulis, Ilias Theodorakopoulos

Proceedings of the 30th International Conference on Microelectronics, 2018

ALOHA: an architectural-aware framework for deep learning at the edge.

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

Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications, 2018

2016

Scalable and Efficient Big Data Analytics - The LeanBigData Approach.

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

Proceedings of the European Space project on Smart Systems, Big Data, Future Internet, 2016