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10 Nov 2026 · 16:45 GMT+3
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ARAŞTIRMA · PAPERS

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912 makale — arXiv, NeurIPS, ICML, ACL ve Türk üniversitelerinden seçtiğimiz çalışmalar. Her birinin Türkçe özeti, içindekiler ve aihaber okuma görünümü var. Kayıt gerekmez.

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2 #01

Super-resolved digital terrain models for GEDI geolocation correction: agreement with airborne LiDAR DTM-based corrections at the beam level, not the footprint level

Natsuki Yuda, Shinichiro Shirota · 06 Kas 2026

The Global Ecosystem Dynamics Investigation (GEDI) mission measures three-dimensional forest structure with a LiDAR aboard the International Space Station. GEDI observations have geolocation errors of about 10 m, which c…

arXiv:2611.09854
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10 #04

GazeRIB: Systematic Evaluation of Multi-Reader Gaze-Guided Chest X-ray Learning

Nattakorn Kittisut, Roy M. Gabriel, Marly van Assen, Mohammadreza Zandehshahvar + 3 · 30 Eki 2026

Radiologists' visual attention can supervise medical image learning, but how reader panel composition affects its value remains untested. We evaluated GazeRIB (Gaze-guided Radiologist-Informed Blackout), which masks unvi…

arXiv:2610.42152
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34 #07

A$^3$PreCore: Robust Rigid Registration for Native FLAIR-Space Brain-Mask Transfer

Elmira Mirzabeigi, Zahra Khalilzad, Taylor Snowden-Richardson, Jesus Eduardo Lugo Arce + 3 · 14 Eki 2026

Reliable brain-mask transfer into native fluid-attenuated inversion recovery (FLAIR) space can fail when T1-to-FLAIR rigid registration is unstable. We developed A$^3$PreCore, a six-degree-of-freedom rigid-registration s…

arXiv:2610.20561
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50 #08

What Should World Models Forget? Stratified Retention for Continual Adaptation

Nishit Anand, Ramani Duraiswami, Dinesh Manocha · 02 Eki 2026

Continual learning treats degradation on previously seen data as evidence of failure, a convention inherited from settings with a stationary prediction target, where a correct label remains correct indefinitely. World mo…

arXiv:2610.03713
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