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SleepExplain: Explainable Non-Rapid Eye Movement and Rapid Eye Movement Sleep Stage Classification from EEG Signal

arXiv:2606.07351v1 Announce Type: new Abstract: Classification of sleep stages is one of the most important diagnostic approaches for a variety of sleep-related disorders. Electroencephalography (EEG) is regarded as a powerful tool for examining the association between neurological effects and sleep phases since it correctly identifies sleep-related neurological alterations. During Non-Rapid Eye Movement (NREM) and Rapid Eye Movement (REM) sleep phases, a number of nerve and bodily functions...

arXiv CS 2d ago

SDM-Q: Cost-Aware Staged Decision-Making for Multi-Omics Classification with Deep Q-Learning

Announce Type: replace Abstract: Multi-omics data provide complementary molecular characterizations of disease phenotypes and play an important role in disease diagnosis and subtype classification in precision medicine. However, acquiring complete multi-omics profiles is expensive and time-consuming, while most existing deep learning methods assume full modality availability during inference, resulting in substantial redundancy and limited practicality in clinical settings. To address this...

arXiv CS 1d ago

SDM-Q: Cost-Aware Staged Decision-Making for Multi-Omics Classification with Deep Q-Learning

arXiv:2605.31014v1 Announce Type: new Abstract: Multi-omics data provide complementary molecular characterizations of disease phenotypes and play an important role in disease diagnosis and subtype classification in precision medicine. However, acquiring complete multi-omics profiles is expensive and time-consuming, while most existing deep learning methods assume full modality availability during inference, resulting in substantial redundancy and limited practicality in clinical settings. To...

arXiv CS 9d ago

An Open-Source Two-Stage Computer Vision Pipeline for Fine-Grained Vehicle Classification using Vision Transformers

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arXiv CS 6d ago

DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA

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When Tabular Foundation Models Transfer Across Modalities: A Systematic Evaluation Across 95 Datasets, 7 Modalities, and Two Regimes

arXiv:2606.02106v1 Announce Type: new Abstract: We present a single classification pipeline that combines an Equiangular Tight Frame (ETF) preprocessing stage with a tabular foundation model for in-context inference, applied identically across modalities once data is mapped to fixed vector representations. We evaluate it on 95 datasets spanning seven signal modalities -- vision, audio, speech, text, molecular, time-series, and tabular. The main methodological contribution is to fix the...

arXiv CS 8d ago

SweetFruit: A Two-Stage Mobile Sensing System for Real-Time Fruit Sugar Estimation

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Structured Prompt Optimization Meets Reinforcement Learning for Global and Local Interpretability over Complex Text

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Next-Token Prediction Learns Generalisable Representations of Sleep Physiology

arXiv:2606.09605v1 Announce Type: new Abstract: Foundation models offer a promising route to compress multi-modal physiological signals into compact representations of human health, with broad applications across sleep medicine, cardiology, neurology and other healthcare domains. Existing models have typically been trained with masked-reconstruction or contrastive objectives. However, masked reconstruction may be poorly suited to the stochastic nature of these signals, while contrastive...

arXiv CS 1d ago

Team 'astonished' as rider kicked out of Giro d'Italia Women

Team 'astonished' as Lorena Wiebes kicked out of Giro d'Italia Women after winning stage one Sun 31 May 2026 at 1:23pm In short: Lorena Wiebes out-sprinted Elisa Balsamo and Lara Gillespie to win the opening stage of Giro d'Italia Women. The race jury found that Wiebes's bike was 200 grams underweight, leading to the Dutch champion being disqualified. Tomorrow's second stage will also likely finish in a bunch sprint, with Balsamo racing in the leader's pink jersey.

ABC Australia 10d ago