Results 171 to 180 of about 238,312 (311)
A discriminative approach to structured biological data
, 2007 This paper introduces the first author’s PhD project which has just got out of its initial stage. Biological sequence data is, on the one hand, highly structured. On the other hand there are large amounts of unlabelled data. Thus we combine probabilistic
Mutter, Stefan, Pfahringer, Bernhard
core
Multi-Manifold Semi-Supervised Learning
, 2018 We study semi-supervised learning when the data consists of multiple intersecting manifolds. We give a finite sample analysis to quantify the potential gain of using unlabeled data in this multi-manifold setting.
Aarti Singh (5358575) +4 more
core +1 more source
Annals of Gastroenterological Surgery, EarlyView.This study analyzed log data from the Japanese hinotori surgical robot to characterize manipulation performed by experienced surgeons in robotic surgery. Compared with less‐experienced surgeons, the experienced group demonstrated shorter task durations, reduced travel distances with the right instrument (Arm3), faster and more dynamically modulated ...
Masaki Saito +11 more
wiley +1 more source
PC-Match: Semi-Supervised Learning With Progressive Contrastive and Consistency Regularization
IEEE AccessAs artificial intelligence developed rapidly, deep learning models have been applied in various domains. While labeling is crucial to training models in fields that demand specific knowledge, producing such labeled datasets is expensive.
Mikyung Kang, Sooyon Seo, Moohong Min
doaj +1 more source
Semi-Supervised Relational Contrastive Learning
, 2023 Disease diagnosis from medical images via supervised learning is usually dependent on tedious, error-prone, and costly image labeling by medical experts. Alternatively, semi-supervised learning and self-supervised learning offer effectiveness through the
Purpura-Pontoniere, Attiano +3 more
core
Recent Advances in Functional Liver Volumetry: Emphasis on 99mTc‐GSA SPECT/CT Fusion Imaging
Annals of Gastroenterological Surgery, EarlyView.Functional liver volumetry enables more accurate assessment of the future liver remnant by integrating anatomical and functional information, improving risk stratification before major hepatectomy. Among available techniques, 99mTc‐GSA SPECT/CT fusion imaging enables precise regional functional assessment and more reliable prediction of post ...
Toru Beppu +4 more
wiley +1 more source
AIChE Journal, EarlyView.Abstract This study presents a coupled population balance model (PBM) for describing the degree‐of‐agglomeration (DoA) in crystallization by independently tracking total particle and agglomerate number densities. Applied to an industrial active pharmaceutical ingredient, the model outperformed bridge‐counting methods and accurately captured DoA trends ...
Yung‐Shun Kang +6 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Semi-supervised feature learning for improving writer identification
, 2019 Data augmentation is typically used by supervised feature learning approaches for offline writer identification, but such approaches require a mass of additional training data and potentially lead to overfitting errors.
Ding, W (15681284) +4 more
core
Advanced Intelligent Discovery, EarlyView.This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source