27 citations
- Centre National de la Recherche ScientifiqueFR3 papers
- Université de MontpellierFR2 papers
- Université Paris-SaclayFR2 papers
- Adirondack Medical CenterUS1 paper
- American Astronomical SocietyUS1 paper
- Applied Science Associates (United States)US1 paper
- Astrophysique, Instrumentation et ModélisationFR1 paper
- Atkins (United States)US1 paper
- Brazos Valley Museum of Natural HistoryUS1 paper
- Buffalo BioLabsUS1 paper
- Buffalo Society of Natural SciencesUS1 paper
- Burke FoundationUS1 paper
10 papers
Viable Supply Chain Network Design: Machine Learning-Derived Chance-Constrained Programming
Mohammad Rohaninejad, Behdin Vahedi-Nouri, Elham Jelodari Mamaghani +2
This paper investigates a viable two-echelon supply chain network design problem with unreliable facilities subject to disruptions. Unlike existing studies that consider supply cha…
Citizen CATE 2024: Extending Totality During the 8 April 2024 Total Solar Eclipse with a Distributed Network of Community Participants
Sarah A. Kovac, Amir Caspi, Daniel B. Seaton +240
The Citizen CATE 2024 next-generation experiment placed 43 identical telescope and camera setups along the path of totality during the total solar eclipse (TSE) on 8 April 2024 to…
Anatomical feature-prioritized loss for enhanced MR to CT translation
Arthur Longuefosse, Baudouin Denis de Senneville, Gael Dournes +3
In medical image synthesis, the precision of localized structural details is crucial, particularly when addressing specific clinical requirements such as the identification and mea…
A 1.431-Competitive Algorithm for Combinatorial Group Testing
Jun Wu, Yongxi Cheng, Zhen Yang +2
In the context of fault-detection problems, the objective is to identify all defective items among a set of binary-state items using the minimum number of tests. The {group tes…
Deep Transfer Learning for Blended Source Identification in Galaxy Survey Data
S. Farrens, A. Lacan, A. Guinot +1
We present BlendHunter, a proof-of-concept for a deep transfer learning based approach for the automated and robust identification of blended sources in galaxy survey data. We take…
Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos +77
Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organ…