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Seek and learn: Automated identification of microevents in animal behaviour using envelopes of acceleration data and machine learning

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Seek and learn: Automated identification of microevents in animal behaviour using envelopes of acceleration data and machine learning

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Random matrix methods for high-dimensional machine learning models

A new flexible multiple discrete–continuous extreme value (MDCEV) choice model: exploring non-monotonic preference in time use decisions

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Context selectivity with dynamic availability enables lifelong continual learning

Partial discharge localization in power transformer tanks using machine learning methods

Feature-based encoding of face identity by single neurons in the human amygdala and hippocampus

Probing the latent hierarchical structure of data via diffusion models

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence

Airborne sensor fusion: Expected accuracy and behavior of a concurrent adjustment

Machine Learning for Screening Small Molecules as Passivation Materials for Enhanced Perovskite Solar Cells

Social Opinion Formation and Decision Making Under Communication Trends

Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets

VDMNav: Software Architecture for Aerodynamically Constrained Navigation on Small Fixed-Wing Drones

Machine-learning to analyze human-building interactions: How do people use mobile solar protections?

Learning Informative Health Indicators Through Unsupervised Contrastive Learning

Uncovering interactions between Descending Neurons as a functional principle of behavioural control

On the Generalization of Stochastic Gradient Descent with Momentum

Robust machine learning for neuroscientific inference

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life