Results 41 to 50 of about 1,042,562 (308)
Adversarial Dropout for Supervised and Semi-Supervised Learning
Proceedings of the AAAI Conference on Artificial Intelligence, 2018 Recently, training with adversarial examples, which are generated by adding a small but worst-case perturbation on input examples, has improved the generalization performance of neural networks. In contrast to the biased individual inputs to enhance the generality, this paper introduces adversarial dropout, which is a minimal set of ...
Sungrae Park +3 more
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben +4 more
wiley +1 more source
A semi-supervised spam mail detector [PDF]
, 2006 This document describes a novel semi-supervised approach to spam classification, which was successful at the ECML/PKDD 2006 spam classification challenge.
Pfahringer, Bernhard
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JoshuaE1/supervised-classification-SSH-publications v1.0
, 2020 A comparison of supervised machine learning ...
rafguns, JoshuaE1
core +1 more source
Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari +5 more
wiley +1 more source
Self-Supervised Learning :Video Clip Order Prediction with diffusion models [PDF]
, 2023 openIn recent years, neural networks have achieved incredible performance in computer vision applications like image classification and video identification due to the availability of powerful computational resources and vast amounts of data.
REPETTO, SARA
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Microbiome Sample Comparison and Search: From Pair-Wise Calculations to Model-Based Matching
Frontiers in Microbiology, 2021 A huge quantity of microbiome samples have been accumulated, and more are yet to come from all niches around the globe. With the accumulation of data, there is an urgent need for comparisons and searches of microbiome samples among thousands of millions ...
Yuguo Zha, Hui Chong, Kang Ning
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu +8 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques +5 more
wiley +1 more source
Semi-Supervised Neural Gas for Adaptive Brain-Computer Interfaces [PDF]
, 2012 Riechmann H, Finke A. Semi-Supervised Neural Gas for Adaptive Brain-Computer Interfaces. In: ESANN 2012 proceedings. i6doc.com; 2012: 121-126.Non-stationarity is inherent in EEG data.
Riechmann, Hannes +1 more
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