output
20052026
most citedActivity driven modeling of time varying networks

722 citations

83 papers

cs.CV2026

Vision Foundation Models in Radiology: A Scoping Review of Data, Methodology, Evaluation and Clinical Translation

Alejandro Vergara-Richart, Xavier Rafael-Palou, Almudena Fuster-Matanzo +3

Vision foundation models (VFMs) are increasingly being developed for radiological imaging, yet their definition, development and evaluation remain heterogeneous. We conducted a PRI…

cs.IR2026

DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation

Siddartha Reddy, Harikrishnan P M, Goutham Vignesh +2

Key Information Extraction (KIE) is vital for many document applications, but creating training datasets is traditionally a time-consuming manual process. We introduce DocAnnot, a…

astro-ph.GA2026

Gas-rich ultra-diffuse galaxies: alleviating the MOND tension with hyperconical modified gravity

Robert Monjo

Gas-rich ultra-diffuse galaxies (UDGs) are an unusually sharp test for gravity models tied to the baryonic Tully--Fisher relation because several systems appear to rotate too slowl…

cs.LG2026

Green-NAS: A Global-Scale Multi-Objective Neural Architecture Search for Robust and Efficient Edge-Native Weather Forecasting

Md Muhtasim Munif Fahim, Soyda Humyra Yesmin, Saiful Islam +7

We introduce Green-NAS, a multi-objective NAS (neural architecture search) framework designed for low-resource environments using weather forecasting as a case study. By adhering t…

physics.bio-ph2025

DNA Nanostructures Characterized via Dual Nanopore Resensing

Wangwei Dong, Zezhou Liu, Ruiyao Liu +2

DNA nanotechnology uses predictable interactions of nucleic acids to precisely engineer complex nanostructures. Characterizing these self-assembled structures at the single-structu…

cs.DC2025

Adaptive Protein Design Protocols and Middleware

Aymen Alsaadi, Jonathan Ash, Mikhail Titov +4

Computational protein design is experiencing a transformation driven by AI/ML. However, the range of potential protein sequences and structures is astronomically vast, even for mod…