From the 9 of 51 papers with an AI index.
34 citations
- Centre National de la Recherche ScientifiqueFR35 papers
- Institut polytechnique de GrenobleFR17 papers
- University College LondonGB16 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR15 papers
- University of OxfordGB15 papers
- Université Paris CitéFR14 papers
- Université Paris-SaclayFR14 papers
- University of CambridgeGB14 papers
- University of EdinburghGB14 papers
- University of GenevaCH14 papers
- Aix-Marseille UniversitéFR13 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di GenovaIT13 papers
51 papers
Early Exploration of the Scientific Discovery Space for the Habitable Worlds Observatory
Courtney D. Dressing, Danica Adams, Evelyne Alecian +324
The paper summarizes 70 science cases for the proposed NASA Habitable Worlds Observatory, outlining the observational needs across four scientific pillars and detailing required ca…
Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation
Chia-Hsiang Lin, Shih-Min Hsu, Ching-Yun Liang +2
Hyperspectral change detection (HCD) has found numerous key applications, such as land cover monitoring. The majority of benchmark HCD algorithms are semi-supervised methods, and s…
Learning Compression Rules for Network Traffic
Quentin Lampin, Éloi Sainte-Beuve, Louis-Adrien Dufrène +2
We study the problem of learning compact rule-based compressors for structured network traffic. Each packet is a record of header fields that are highly redundant within a flow, an…
Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment
Zohra Souei, Muhammad Mushhood Ur Rehman, Harith Akram +14
The paper reviews 239 studies on using artificial intelligence for deep brain stimulation in movement disorders, evaluating how mature the technologies are and identifying validati…
Graph-Based Correlation Matrix Generation: A Convex Optimization Approach
Ali Fakhar, K{é}vin Polisano, Ir{è}ne Gannaz +1
This work addresses the generation of theoretical correlation matrices with prescribed sparsity patterns associated to graph structures. We propose a novel convex optimization fram…
Characterizing Signalling: Connections between Causal Inference and Space-time Geometry
Maarten Grothus, V. Vilasini
The paper studies how information‑theoretic notions of signalling relate to the geometric structure of space‑time, improving causal inference methods for unfaithful models and intr…