From the 4 of 23 papers with an AI index.
38 citations
- University College LondonGB6 papers
- California Institute of TechnologyUS5 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Goddard Space Flight CenterUS5 papers
- Institució Catalana de Recerca i Estudis AvançatsES5 papers
- Institute for High Energy PhysicsES5 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR5 papers
- Lyon 1 UniversitéFR5 papers
- National Institute for AstrophysicsIT5 papers
- Sorbonne UniversitéFR5 papers
- Université Paris CitéFR5 papers
- Université Paris-SaclayFR5 papers
23 papers
HugSelect: An Explainable Multi-Criteria Decision-Support Framework for foundation-model selection
Alireza Joonbakhsh, Arda Canser Adalı, Slinger Jansen +2
Foundation models are increasingly reused as software components, making model selection a critical software-engineering decision. Current model hubs primarily support discovery th…
Temperature-tunable spin-wave refraction using superconducting control elements
Pim H. Vree, Merel A. Bouma, Michael Borst +3
Spin waves are promising signal carriers for microwave control at the micrometer scale. However, realizing low-damping, tunable control of spin-wave propagation remains a central c…
Measuring Computational Thinking Self-Efficacy (CT-SEI): Instrument development and preliminary evaluation
Imke de Jong, Johan Jeuring, Judith Masthoff
Much effort is put into helping students at different educational levels develop Computational Thinking (CT) skills. Self-efficacy is important for skill development. It can predic…
Correlated phases of moat-band excitons in two dimensions
L. Maisel Licerán, S. H. Boeve, H. T. C. Stoof
The paper investigates how two‑dimensional excitons with a moat‑shaped dispersion can form competing correlated phases such as chiral spin liquids, multi‑momentum Bose‑Einstein con…
The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
Kaiyuan Yang, Fabio Musio, Yihui Ma +112
The paper introduces the TopCoW Challenge, a benchmark for automatically segmenting the Circle of Willis in CT and MR angiography using deep learning, and provides a new annotated…
Detecting and measuring respiratory events in horses during exercise with a microphone: deep learning vs. standard signal processing
Jeanne I. M. Parmentier, Rhana M. Aarts, Elin Hernlund +2
The study compares deep‑learning models with a traditional signal‑processing approach for automatically detecting exhalation sounds and estimating dynamic respiratory rates from mi…