Real-Time Cognitive Workload Monitoring Based on Machine Learning Using Physiological Signals in Rescue Missions

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Real-Time Cognitive Workload Monitoring Based on Machine Learning Using Physiological Signals in Rescue Missions

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Neural Garment Modeling

Topics in statistical physics of high-dimensional machine learning

Image steganalysis using active learning and hyperparameter optimization

GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification

Unsupervised Rhythm and Voice Conversion of Dysarthric to Healthy Speech for ASR

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

On the Generalization of Stochastic Gradient Descent with Momentum

Directly optimizing for synthesizability in generative molecular design using retrosynthesis models

Machine Learning for Modeling Stock Returns

Stereo Hand-Object Reconstruction for Human-to-Robot Handover

Predicting the long-term collective behaviour of fish pairs with deep learning

Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT

Residual-based attention in physics-informed neural networks

XLSR-Transducer: Streaming ASR for Self-Supervised Pretrained Models

CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds

Diffusion Stochastic Optimization for Min-Max Problems

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

GRADE: Generating Realistic and Dynamic Environments for robotics research with Isaac Sim