Cover Image

On the Validity of Head Motion Patterns as Generalisable Depression Biomarkers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gahalawat, Monika, Bilalpur, Maneesh, Rojas, Raul Fernandez, Cohn, Jeffrey F., Goecke, Roland, Subramanian, Ramanathan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EEG-based Cognitive Load Estimation of Acoustic Parameters for Data Sonification
by: Sharma, Gulshan, et al.
Published: (2024)

Beyond the Fold: Quantifying Split-Level Noise and the Case for Leave-One-Dataset-Out AU Evaluation
by: Hinduja, Saurabh, et al.
Published: (2026)

Learning to Generate Context-Sensitive Backchannel Smiles for Embodied AI Agents with Applications in Mental Health Dialogues
by: Bilalpur, Maneesh, et al.
Published: (2024)

Context Matters: Vision-Based Depression Detection Comparing Classical and Deep Approaches
by: Bilalpur, Maneesh, et al.
Published: (2026)

Mood as a Contextual Cue for Improved Emotion Inference
by: Narayana, Soujanya, et al.
Published: (2024)

TRA: Better Length Generalisation with Threshold Relative Attention
by: Opper, Mattia, et al.
Published: (2025)

Voice Biomarkers for Depression and Anxiety
by: Abramenko, Oleksii, et al.
Published: (2026)

A solution for the mean parametrization of the von Mises-Fisher distribution
by: Nonnenmacher, Marcel, et al.
Published: (2024)

Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation
by: Segal, Bradley, et al.
Published: (2025)

Do Generalisation Results Generalise?
by: Boglioni, Matteo, et al.
Published: (2025)

CSGaze: Context-aware Social Gaze Prediction
by: Madan, Surbhi, et al.
Published: (2025)

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation
by: Malviya, Yash, et al.
Published: (2024)

Successes and Limitations of Object-centric Models at Compositional Generalisation
by: Montero, Milton L., et al.
Published: (2024)

Symmetry and Generalisation in Machine Learning
by: Elesedy, Hayder
Published: (2025)

Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles
by: Du, Xin, et al.
Published: (2021)

Graph convolutional network for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolution
by: Cohn, Ryan, et al.
Published: (2021)

Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation
by: Chen, Jianan, et al.
Published: (2023)

Successor-Predecessor Intrinsic Exploration
by: Yu, Changmin, et al.
Published: (2023)

Machine-Learned Sampling of Conditioned Path Measures
by: Jiang, Qijia, et al.
Published: (2025)

Federated Learning with Nonvacuous Generalisation Bounds
by: Jobic, Pierre, et al.
Published: (2023)

Causality is Key for Interpretability Claims to Generalise
by: Joshi, Shruti, et al.
Published: (2026)

Tighter Generalisation Bounds via Interpolation
by: Viallard, Paul, et al.
Published: (2024)

Domain Generalisation via Imprecise Learning
by: Singh, Anurag, et al.
Published: (2024)

Entropy-Dominated Temporal Vocal Dynamics as Digital Biomarkers for Depression Detection
by: Samanta, Himadri S
Published: (2026)

Wearable-Derived Behavioral and Physiological Biomarkers for Classifying Unipolar and Bipolar Depression Severity
by: Ouzar, Yassine, et al.
Published: (2025)

The Generalised Kernel Covariance Measure
by: Bergen, Luca, et al.
Published: (2026)

Cybersickness Detection through Head Movement Patterns: A Promising Approach
by: Salehi, Masoud, et al.
Published: (2024)

Maximum Likelihood Learning of Latent Dynamics Without Reconstruction
by: Hromadka, Samo, et al.
Published: (2025)

On the Generalisation of Koopman Representations for Chaotic System Control
by: Hjikakou, Kyriakos, et al.
Published: (2025)

On the Limitations of General Purpose Domain Generalisation Methods
by: Gouk, Henry, et al.
Published: (2022)

The Useful Side of Motion: Using Head Motion Parameters to Correct for Respiratory Confounds in BOLD fMRI
by: Addeh, Abdoljalil, et al.
Published: (2024)

Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study
by: Benrimoh, David, et al.
Published: (2024)

Quantifying Generalisation in Imitation Learning
by: Gavenski, Nathan, et al.
Published: (2025)

Online Generalised Predictive Coding
by: Bazargani, Mehran H. Z., et al.
Published: (2026)

Conditioning Protein Generation via Hopfield Pattern Multiplicity
by: Varner, Jeffrey D.
Published: (2026)

Representation Stability in a Minimal Continual Learning Agent
by: Subramanian, Vishnu
Published: (2026)

Robust Experimental Design via Generalised Bayesian Inference
by: Barlas, Yasir Zubayr, et al.
Published: (2025)

SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning
by: Weissenbacher, Matthias, et al.
Published: (2024)

Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion
by: Shankar, Aditya, et al.
Published: (2026)

Recurrence-Based Nonlinear Vocal Dynamics as Digital Biomarkers for Depression Detection from Conversational Speech
by: Samanta, Himadri S
Published: (2026)