Machine Learning Models for Mycobacterium tuberculosis In Vitro Activity: Prediction and Target Visualization

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Machine Learning Models for Mycobacterium tuberculosis In Vitro Activity: Prediction and Target Visualization

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Fully data-driven and modular building thermal control with physically consistent modeling

Machine learning enhanced tomographic reconstruction for multispectral imaging on TCV

Rapid prediction of phonon density of states by crystal attention graph neural network and high-throughput screening of candidate substrates for wide bandgap electronic cooling

From Pose to Behavior: Advancing Multi-Individual Pose Estimation and Hierarchical Action Segmentation with Transformers

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers

EntitySAM: Segment Everything in Video

ChemLit-QA: a human evaluated dataset for chemistry RAG tasks

Structure-based drug design with equivariant diffusion models

NNG-Mix: Improving Semi-Supervised Anomaly Detection with Pseudo-Anomaly Generation

Boosting Semi-supervised Crowd Counting with Scale-based Active Learning

Native learning ability and not age determines the effects of brain stimulation

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Methodology for selecting measurement points that optimize information gain for model updating

On the (In)security of Peer-to-Peer Decentralized Machine Learning

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Exploring quantum perceptron and quantum neural network structures with a teacher-student scheme