Networks as signals, with an application to a bike sharing system. - Ronan Hamon; Pierre Borgnat; Patrick Flandrin; Céline Robardet (GlobalSIP, 2013)

Nonnegative matrix factorization to find features in temporal networks. - Ronan Hamon; Pierre Borgnat; Patrick Flandrin; Céline Robardet (ICASSP, 2014)

Heuristic for solving cyclic bandwidth sum problem by following the structure of the graph. - Ronan Hamon; Pierre Borgnat; Patrick Flandrin; Céline Robardet (CoRR, 2014)

From graphs to signals and back: Identification of network structures using spectral analysis. - Ronan Hamon; Pierre Borgnat; Patrick Flandrin; Céline Robardet (CoRR, 2015)

Duality between Temporal Networks and Signals: Extraction of the Temporal Network Structures. - Ronan Hamon; Pierre Borgnat; Patrick Flandrin; Céline Robardet (CoRR, 2015)

Convex nonnegative matrix factorization with missing data. - Ronan Hamon; Valentin Emiya; Cédric Févotte (MLSP, 2016)

Relabelling vertices according to the network structure by minimizing the cyclic bandwidth sum. - Ronan Hamon; Pierre Borgnat; Patrick Flandrin; Céline Robardet (J. Complex Networks, 2016)

Extraction of Temporal Network Structures From Graph-Based Signals. - Ronan Hamon; Pierre Borgnat; Patrick Flandrin; Céline Robardet (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Assessment of musical noise using localization of isolated peaks in time-frequency domain. - Ronan Hamon; Valentin Emiya; Lucas Rencker; Wenwu Wang 001; Mark D. Plumbley (ICASSP, 2017)

Being Low-Rank in the Time-Frequency Plane. - Valentin Emiya; Ronan Hamon; Caroline Chaux (ICASSP, 2018)

Impossible Explanations?: Beyond explainable AI in the GDPR from a COVID-19 use case scenario. - Ronan Hamon; Henrik Junklewitz; Gianclaudio Malgieri; Paul de Hert; Laurent Beslay; Ignacio Sánchez (FAccT, 2021)

Bridging the Gap Between AI and Explainability in the GDPR: Towards Trustworthiness-by-Design in Automated Decision-Making. - Ronan Hamon; Henrik Junklewitz; Ignacio Sánchez; Gianclaudio Malgieri; Paul de Hert (IEEE Comput. Intell. Mag., 2022)

Exploring the Feasibility of Physical Adversarial Attacks: A Cybersecurity Study. - Ronan Hamon; Henrik Junklewitz (ECAI, 2023)

The role of explainable AI in the context of the AI Act. - Cecilia Panigutti; Ronan Hamon; Isabelle Hupont; David Fernández Llorca; Delia Fano Yela; Henrik Junklewitz; Salvatore Scalzo; Gabriele Mazzini; Ignacio Sánchez; Josep Soler Garrido; Emilia Gómez (FAccT, 2023)

Liability Regimes in the Age of AI: a Use-Case Driven Analysis of the Burden of Proof. - David Fernández Llorca; Vicky Charisi; Ronan Hamon; Ignacio Sánchez; Emilia Gómez (J. Artif. Intell. Res., 2023)

Three Challenges to Secure AI Systems in the Context of AI Regulations. - Ronan Hamon; Henrik Junklewitz; Josep Soler Garrido; Ignacio Sánchez (IEEE Access, 2024)

Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness. - 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 (CoRR, 2024)