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APOSM: Pairwise preference learning improves generative small-molecule design
Dreisler MW +3 more
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Multi-Round Meta-Learning for Label Purification Without Trusted Labels.
IEEE Transactions on Pattern Analysis and Machine IntelligenceLabel noise remains a fundamental challenge in supervised deep learning, particularly as modern neural networks rely on large-scale datasets that frequently suffer from annotation errors due to cost and scalability constraints. While prior approaches address this issue through collaborative training on fully noisy data or meta-learning with access to a
Shirui Pan
exaly +3 more sources
‘I Remember Their Labels Round Their Necks’ Britain and the Kindertransport
2020There is a public perception that there is something quintessentially British about the story of the Kindertransport.
exaly +2 more sources
Lancet, The
Afamitresgene autoleucel (afami-cel) showed acceptable safety and promising efficacy in a phase 1 trial (NCT03132922). The aim of this study was to further evaluate the efficacy of afami-cel for the treatment of patients with HLA-A*02 and MAGE-A4-expressing advanced synovial sarcoma or myxoid round cell liposarcoma.SPEARHEAD-1 was an open-label, non ...
Elliot Norry +2 more
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Afamitresgene autoleucel (afami-cel) showed acceptable safety and promising efficacy in a phase 1 trial (NCT03132922). The aim of this study was to further evaluate the efficacy of afami-cel for the treatment of patients with HLA-A*02 and MAGE-A4-expressing advanced synovial sarcoma or myxoid round cell liposarcoma.SPEARHEAD-1 was an open-label, non ...
Elliot Norry +2 more
exaly +3 more sources
Target Round Bar Detection and Two-Stage Calibration for Automatic Label Attachment System
2023 5th International Conference on Control and Robotics (ICCR), 2023Minsung Kang
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Global Health Promotion
Introduction: Health warning labels (HWLs) are one of the key strategies for tobacco control. The current study assessed the individual characteristics affecting the noticeability of HWLs and the thought of quitting smokeless tobacco (SLT) on noticing HWLs.
Kirtan Rana, Madhur Verma
exaly +3 more sources
Introduction: Health warning labels (HWLs) are one of the key strategies for tobacco control. The current study assessed the individual characteristics affecting the noticeability of HWLs and the thought of quitting smokeless tobacco (SLT) on noticing HWLs.
Kirtan Rana, Madhur Verma
exaly +3 more sources
Use of Standardized Notes on Laser-Printed Labels for Acute Pain Management Rounds
Clinical Journal of Pain, 1993exaly +3 more sources

