Results 111 to 120 of about 549,786 (309)
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning Approach [PDF]
, 2020 Hemang Chawla +4 more
openalex +1 more source
Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio [PDF]
, 2022 Yan Gao +4 more
openalex +1 more source
A Synovium‐on‐Chip Platform to Study Multicellular Interactions in Arthritis
Advanced Healthcare Materials, EarlyView.The Synovium‐on‐Chip comprises a thin microporous PDMS membrane to support co‐culture of fibroblast‐like synoviocytes (FLS), THP‐1‐derived macrophages, and endothelial cells, enabling real‐time analysis of synovial‐vascular interactions. FLS migration through the pores drives endothelial remodeling, while TNF‐α stimulation induces robust inflammatory ...
Laurens R. Spoelstra +8 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.This review explores how alternative invertebrate and small‐vertebrate models advance the evaluation of nanomaterials across medicine and environmental science. By bridging cellular and organismal levels, these models enable integrated assessment of toxicity, biodistribution, and therapeutic performance.
Marie Celine Lefevre +3 more
wiley +1 more source
Audio-Based Emotion Recognition Using Self-Supervised Learning on an Engineered Feature Space
AIEmotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media analysis.
Peranut Nimitsurachat, Peter Washington
doaj +1 more source
Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation [PDF]
, 2022 Hyungtae Lee, Heesung Kwon
openalex +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Self supervised learning based emotion recognition using physiological signals
Frontiers in Human NeuroscienceIntroductionThe significant role of emotional recognition in the field of human-machine interaction has garnered the attention of many researchers. Emotion recognition based on physiological signals can objectively reflect the most authentic emotional ...
Min Zhang, YanLi Cui
doaj +1 more source
4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection [PDF]
, 2021 Asmaa Abbas +2 more
openalex +1 more source
Enhancing Representations Through Heterogeneous Self-Supervised Learning
IEEE Transactions on Pattern Analysis and Machine IntelligenceIncorporating heterogeneous representations from different architectures has facilitated various vision tasks, e.g., some hybrid networks combine transformers and convolutions. However, complementarity between such heterogeneous architectures has not been well exploited in self-supervised learning.
Zhong-Yu Li +4 more
openaire +3 more sources