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Leveraging Machine Learning for Advanced Nanoscale X-ray Analysis: Unmixing Multicomponent Signals and Enhancing Chemical Quantification

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Leveraging Machine Learning for Advanced Nanoscale X-ray Analysis: Unmixing Multicomponent Signals and Enhancing Chemical Quantification

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Machine learning-based prediction of fish acute mortality: implementation, interpretation, and regulatory relevance

Revisiting Character-level Adversarial Attacks for Language Models

Multi-fidelity surrogate modeling using long short-term memory networks

Relative stability toward diffeomorphisms indicates performance in deep nets

On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation

Latent Mechanisms of Polarization Switching from In Situ Electron Microscopy Observations

Urban Data: Sources and Targeted Applications for Urban Planning Indicators Modelling

Distributed Learning in Non-Convex Environments-Part II: Polynomial Escape From Saddle-Points

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

Resting-state EEG topographies: Reliable and sensitive signatures of unilateral spatial neglect

Learning Vision-based Flight in Drone Swarms by Imitation

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Energy-aware adaptive bi-Lipschitz embeddings

Training Distributed Neural Networks by Consensus

Towards a Robust BCI: Error Potentials and Online Learning