Results 281 to 290 of about 52,458 (341)

Bangla Natural Language Inference Dataset

MD Ajmain Mahtab, Atif Ronan, Sheikh Ayatur Rahman, Syed Saleh Mohammad Sajid, Sanjida Tasnim, Dr. Farig Sadeque   +5 more
openalex   +1 more source

Extracting Cardiorespiratory Symptoms From Clinical Notes Using Open-Weight Large Language Models: Method Development and Validation Study. [PDF]

JMIR Cardio
Bai Y, Cui W, Finkelstein J.
europepmc   +1 more source

Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining

Advanced Intelligent Systems, EarlyView.
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson, Nebojša Maleševic, Anders Björkman, Christian Antfolk   +3 more
wiley   +1 more source

Explainable neuro-symbolic artificial intelligence for automated interpretation of corneal topography and early keratoconus detection. [PDF]

Front Artif Intell
Wang MH, Qin S.
europepmc   +1 more source

Human‐in‐the‐Loop Object Segmentation for 3D Gaussian Splatting via Finger‐based VR Interface

Advanced Intelligent Systems, EarlyView.
This study introduces a human‐in‐the‐loop segmentation framework for 3D Gaussian Splatting that integrates real‐time optimization with intuitive VR‐based finger prompting. Compared with existing automatic, learning‐based methods, it achieves significantly higher accuracy and reduced segmentation time.
Yongseok Lee, Hyunreal Park, Hyunsu Kim, Harim Ji, Dongho Yee, Dongjun Lee   +5 more
wiley   +1 more source

KnitLoRA: bridging low-rank adaptation as interwoven layers for deeper semantic reasoning. [PDF]

Sci Rep
Qiu H, Ning Y, Li J, Zhu X, Gong Y, Yan L, Guan F, Zhang J, Feng F, Xu Z, Wang Q, Li P.   +11 more
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Multimodal GPT-5 for Predicting Poor Functional Outcomes After Intracerebral Hemorrhage in the Emergency Department: Validation Study. [PDF]

JMIR AI
Matsumoto K, Ishihara K, Tamba R, Fujiyoshi Y, Tokunaga K, Matsuda K, Nohara Y, Chen J, Yamashiro S, Nakashima N, Kamouchi M.   +10 more
europepmc   +1 more source

Equilibrium Propagation for Dissipative Dynamics

Advanced Intelligent Systems, EarlyView.
This work develops local learning rules for damped linear dynamical systems, including mechanical structures and resistor‐inductor‐capacitor (RLC) circuits, by leveraging an effective action formulation. It demonstrates how physical systems can autonomously compute gradients and learn temporal patterns, enabling applications such as sound ...
Marc Berneman, Daniel Hexner
wiley   +1 more source

Reverse-engineering NLI: A study of the meta-inferential properties of Natural Language Inference [PDF]

Rasmus Blanck, Bill Noble, Stergios Chatzikyriakidis   +2 more
openalex