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Ronan Hamon
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2020 – today
- 2024
- [j5]Ronan Hamon
, Henrik Junklewitz
Three Challenges to Secure AI Systems in the Context of AI Regulations. IEEE Access 12: 61022-61035 (2024) - [i5]David Fernández Llorca, Ronan Hamon, Henrik Junklewitz, Kathrin Grosse, Lars Kunze, Patrick Seiniger, Robert Swaim, Nick Reed, Alexandre Alahi, Emilia Gómez, Ignacio Sánchez, Ákos Kriston:
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness. CoRR abs/2403.14641 (2024) - 2023
- [j4]David Fernández Llorca, Vicky Charisi, Ronan Hamon, Ignacio Sanchez, Emilia Gómez:
Liability Regimes in the Age of AI: a Use-Case Driven Analysis of the Burden of Proof. J. Artif. Intell. Res. 76: 613-644 (2023) - [c8]Ronan Hamon
Exploring the Feasibility of Physical Adversarial Attacks: A Cybersecurity Study. ECAI 2023: 980-987 - [c7]Cecilia Panigutti
The role of explainable AI in the context of the AI Act. FAccT 2023: 1139-1150 - 2022
- [j3]Ronan Hamon, Henrik Junklewitz, Ignacio Sánchez, Gianclaudio Malgieri, Paul de Hert
Bridging the Gap Between AI and Explainability in the GDPR: Towards Trustworthiness-by-Design in Automated Decision-Making. IEEE Comput. Intell. Mag. 17(1): 72-85 (2022) - [i4]David Fernández Llorca, Vicky Charisi, Ronan Hamon, Ignacio Sanchez, Emilia Gómez:
Liability regimes in the age of AI: a use-case driven analysis of the burden of proof. CoRR abs/2211.01817 (2022) - 2021
- [c6]Ronan Hamon, Henrik Junklewitz, Gianclaudio Malgieri, Paul de Hert
Impossible Explanations?: Beyond explainable AI in the GDPR from a COVID-19 use case scenario. FAccT 2021: 549-559
2010 – 2019
- 2018
- [c5]Valentin Emiya, Ronan Hamon, Caroline Chaux:
Being Low-Rank in the Time-Frequency Plane. ICASSP 2018: 4659-4663 - 2017
- [c4]Ronan Hamon, Valentin Emiya, Lucas Rencker, Wenwu Wang, Mark D. Plumbley
Assessment of musical noise using localization of isolated peaks in time-frequency domain. ICASSP 2017: 696-700 - 2016
- [j2]Ronan Hamon, Pierre Borgnat
Relabelling vertices according to the network structure by minimizing the cyclic bandwidth sum. J. Complex Networks 4(4): 534-560 (2016) - [j1]Ronan Hamon, Pierre Borgnat
Extraction of Temporal Network Structures From Graph-Based Signals. IEEE Trans. Signal Inf. Process. over Networks 2(2): 215-226 (2016) - [c3]Ronan Hamon, Valentin Emiya, Cédric Févotte:
Convex nonnegative matrix factorization with missing data. MLSP 2016: 1-6 - 2015
- [i3]Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet:
From graphs to signals and back: Identification of network structures using spectral analysis. CoRR abs/1502.04697 (2015) - [i2]Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet:
Duality between Temporal Networks and Signals: Extraction of the Temporal Network Structures. CoRR abs/1505.03044 (2015) - 2014
- [c2]Ronan Hamon, Pierre Borgnat
Nonnegative matrix factorization to find features in temporal networks. ICASSP 2014: 1065-1069 - [i1]Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet:
Heuristic for solving cyclic bandwidth sum problem by following the structure of the graph. CoRR abs/1410.6108 (2014) - 2013
- [c1]Ronan Hamon, Pierre Borgnat
Networks as signals, with an application to a bike sharing system. GlobalSIP 2013: 611-614
Coauthor Index
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