Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleJune 2024
Mapping AI ethics: a meso-scale analysis of its charters and manifestos
FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and TransparencyPages 127–140https://doi.org/10.1145/3630106.3658545The recent years have seen a surge of initiatives with the goal of defining what “ethical” artificial intelligence would or should entail, resulting in the publication of various charters and manifestos discussing AI ethics; these documents originate ...
- research-articleMarch 2024
Unexpected Attributed Subgraphs: a Mining Algorithm
ASONAM '23: Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and MiningPages 171–178https://doi.org/10.1145/3625007.3627314Graphs are ubiquitous in real-world data, ranging from the study of social interactions to bioinformatics or the modelling of physical systems. These real-world graphs are typically sparse, possibly large and frequently contain additional information in ...
- research-articleApril 2023Honorable Mention
On Selective, Mutable and Dialogic XAI: a Review of What Users Say about Different Types of Interactive Explanations
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsArticle No.: 411, Pages 1–21https://doi.org/10.1145/3544548.3581314Explainability (XAI) has matured in recent years to provide more human-centered explanations of AI-based decision systems. While static explanations remain predominant, interactive XAI has gathered momentum to support the human cognitive process of ...
- research-articleOctober 2019
Outlier detection in IP traffic modelled as a link stream using the stability of degree distributions over time
Computer Networks: The International Journal of Computer and Telecommunications Networking (CNTW), Volume 161, Issue CPages 197–209https://doi.org/10.1016/j.comnet.2019.07.002AbstractThis paper aims at precisely detecting and identifying anomalous events in IP traffic. To this end, we adopt the link stream formalism which properly captures temporal and structural features of the data. Within this framework, we ...
- research-articleJanuary 2016
Computing maximal cliques in link streams
Theoretical Computer Science (TCSC), Volume 609, Issue P1Pages 245–252https://doi.org/10.1016/j.tcs.2015.09.030We introduce delta-cliques, that generalize graph cliques to link streams/time-varying graphs.We provide a greedy algorithm to compute all delta-cliques of a link stream.Implementation available on http://www.github.com/JordanV/delta-cliques. A link ...