Team

EmpkinS

Evaluating the Efficacy of OpenDBM and Biosignal Fusion in Emotion Rcognition based on FaceReader's Gold Standards

Automated Tracking and Action Recognition for Mice

Machine Learning for a plug-and-p/ay Digital Twin of the production resource

Investigating the Role of MicroRNAs and IsomiRs as Biomarkers in Psychiatric Disorders

Quantum Circuit Optimization via Hierarchical Reinforcement Learning

Human Pose Estimation Using Radar Raw Data

Detecting Depression using Machine Learning Approaches through Digital Biomarkers

Investigation of Robustness of Single-View 3D Pose Esti­mators under Challenging Conditions

Implementation of a collaborative-based recommender system to support the treatment of people with food intolerances

Using Smart Devices to Assess the Health Status of Palliative Care Patients by Monitoring Activities of Daily Living

Comparing Performance and Transparency of Multimodal Foundation Models in Healthcare

Development of a design framework for innovating on accessible and inclusive digital health systems in Colombia

Voices on Conscious Machines - A Comprehensive Survey Analysis

IOC-inspired reinforcement learning of walking with neuromusculoskeletal model

Safe Reinforcement learning using Successor representations

Machine learning analysis of factors affecting motivation and performance in recreational running

Analyzing Tools and Conceptual Models for Event Log Extraction from Relational Enterprise Database Systems

Machine Learning Approaches for Depression Detection using Physiological Signals

Machine Learning-Based Investigation of Overall State of Health Using Toothbrushing Behavior

Real-time 3D Human Pose Estimation on Smartphones: Evaluating Approaches for Mobile Health Applications

Automated Pose Estimation of Mice Paws