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2020 – today
- 2024
[c2]Archibald Fraikin, Adrien Bennetot, Stéphanie Allassonnière:
T-Rep: Representation Learning for Time Series using Time-Embeddings. ICLR 2024- 2023
- [i6]Archibald Fraikin, Adrien Bennetot, Stéphanie Allassonnière:
T-Rep: Representation Learning for Time Series using Time-Embeddings. CoRR abs/2310.04486 (2023) - 2022
- [b1]Adrien Bennetot:
A Neural-Symbolic learning framework to produce interpretable predictions for image classification. (Modèle d'apprentissage neuro-symbolique pour produire des prédictions interprétables pour de la classification d'imagines). Sorbonne University, Paris, France, 2022 - [j3]Adrien Bennetot
, Gianni Franchi, Javier Del Ser, Raja Chatila, Natalia Díaz Rodríguez:
Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification. Knowl. Based Syst. 258: 109947 (2022) - [j2]Ikram Chraibi Kaadoud, Adrien Bennetot, Barbara Mawhin, Vicky Charisi, Natalia Díaz Rodríguez:
Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI. Neural Networks 155: 95-118 (2022) - [i5]Adrien Bennetot, Gianni Franchi, Javier Del Ser, Raja Chatila, Natalia Díaz Rodríguez:
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification. CoRR abs/2209.14974 (2022) - 2021
- [i4]Adrien Bennetot, Ivan Donadello, Ayoub El Qadi, Mauro Dragoni, Thomas Frossard, Benedikt Wagner, Anna Saranti, Silvia Tulli, Maria Trocan, Raja Chatila, Andreas Holzinger, Artur S. d'Avila Garcez, Natalia Díaz Rodríguez:
A Practical Tutorial on Explainable AI Techniques. CoRR abs/2111.14260 (2021) - 2020
- [j1]Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera:
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion 58: 82-115 (2020) - [i3]Adrien Bennetot, Vicky Charisi, Natalia Díaz Rodríguez:
Should artificial agents ask for help in human-robot collaborative problem-solving? CoRR abs/2006.00882 (2020)
2010 – 2019
- 2019
- [c1]Adrien Bennetot, Jean-Luc Laurent, Raja Chatila, Natalia Díaz Rodríguez:
Towards Explainable Neural-Symbolic Visual Reasoning. NeSy@IJCAI 2019 - [i2]Adrien Bennetot, Jean-Luc Laurent, Raja Chatila, Natalia Díaz Rodríguez:
Highlighting Bias with Explainable Neural-Symbolic Visual Reasoning. CoRR abs/1909.09065 (2019) - [i1]Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera:
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI. CoRR abs/1910.10045 (2019)
Coauthor Index
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