:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ghaffarzadeh, Parvin, Chakraborty, Debarati, Aslansefat, Koorosh, Dostan, Ali, Papadopoulos, Yiannis
Format:	Preprint
Published:	2026
Subjects:	Signal Processing Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.28784
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MoveSmart: A multi-modal dataset for ground reaction force estimation using Apple Watch and force plate data
by: Ghaffarzadeh, Parvin, et al.
Published: (2025)

Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression
by: Paxton, Kuniko, et al.
Published: (2025)

RAGuard: A Novel Approach for in-context Safe Retrieval Augmented Generation for LLMs
by: Walker, Connor, et al.
Published: (2025)

Incorporating Failure of Machine Learning in Dynamic Probabilistic Safety Assurance
by: Arshadizadeh, Razieh, et al.
Published: (2025)

Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning
by: Paxton, Kuniko, et al.
Published: (2025)

SafeLLM: Domain-Specific Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance
by: Walker, Connor, et al.
Published: (2024)

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML
by: Paxton, Kuniko, et al.
Published: (2025)

Selective Correlation Based Knowledge Distillation for Ground Reaction Force Estimation
by: Jeon, Eun Som, et al.
Published: (2026)

Mitigating Individual Skin Tone Bias in Skin Lesion Classification through Distribution-Aware Reweighting
by: Paxton, Kuniko, et al.
Published: (2025)

Explaining Large Language Models with gSMILE
by: Dehghani, Zeinab, et al.
Published: (2025)

Multi-Modal Transformer and Reinforcement Learning-based Beam Management
by: Ghassemi, Mohammad, et al.
Published: (2024)

A Multi-Modal Non-Invasive Deep Learning Framework for Progressive Prediction of Seizures
by: Saeizadeh, Ali, et al.
Published: (2024)

Exploring the Impact of Skin Color on Skin Lesion Segmentation
by: Paxton, Kuniko, et al.
Published: (2026)

Role of Mixup in Topological Persistence Based Knowledge Distillation for Wearable Sensor Data
by: Jeon, Eun Som, et al.
Published: (2025)

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data
by: Vu, Hoang-Dieu, et al.
Published: (2025)

A Short Overview of Multi-Modal Wi-Fi Sensing
by: Zhao, Zijian
Published: (2025)

Wearable-based Fair and Accurate Pain Assessment Using Multi-Attribute Fairness Loss in Convolutional Neural Networks
by: Zhu, Yidong, et al.
Published: (2023)

Detection of Autonomic Dysreflexia in Individuals With Spinal Cord Injury Using Multimodal Wearable Sensors
by: Fuchs, Bertram, et al.
Published: (2025)

Temporal Cross-Modal Knowledge-Distillation-Based Transfer-Learning for Gas Turbine Vibration Fault Detection
by: Nejad, Ali Bagheri, et al.
Published: (2026)

Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation
by: Ling, Tianheng, et al.
Published: (2024)

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics
by: Dunn, Oliver, et al.
Published: (2025)

Novel Deep Neural OFDM Receiver Architectures for LLR Estimation
by: Karakoca, Erhan, et al.
Published: (2025)

WearBCI Dataset: Understanding and Benchmarking Real-World Wearable Brain-Computer Interfaces Signals
by: Liu, Haoxian, et al.
Published: (2026)

NMCSE: Noise-Robust Multi-Modal Coupling Signal Estimation Method via Optimal Transport for Cardiovascular Disease Detection
by: Zhang, Peihong, et al.
Published: (2025)

Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables
by: Burrello, Alessio, et al.
Published: (2024)

Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks
by: Kim, Gyu Seon, et al.
Published: (2024)

Explainable AI for Enhancing Efficiency of DL-based Channel Estimation
by: Gizzini, Abdul Karim, et al.
Published: (2024)

NapTune: Efficient Model Tuning for Mood Classification using Previous Night's Sleep Measures along with Wearable Time-series
by: Shome, Debaditya, et al.
Published: (2024)

Multi-channel Time Series Decomposition Network For Generalizable Sensor-Based Activity Recognition
by: Pan, Jianguo, et al.
Published: (2024)

Multi-Sensor Fusion for UAV Classification Based on Feature Maps of Image and Radar Data
by: Sakellariou, Nikos, et al.
Published: (2024)

Are Anxiety Detection Models Generalizable? A Cross-Activity and Cross-Population Study Using Wearables
by: Sahu, Nilesh Kumar, et al.
Published: (2025)

Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data
by: Yuan, Hang, et al.
Published: (2022)

Invited Paper: Feature-to-Classifier Co-Design for Mixed-Signal Smart Flexible Wearables for Healthcare at the Extreme Edge
by: Shatta, Maha, et al.
Published: (2025)

Memory-Efficient EDA Denoising via Knowledge Distillation for Wearable IoT Under Severe Motion Artifacts and Underwater Conditions
by: Lee, Yongbin, et al.
Published: (2026)

Low Complexity DoA-ToA Signature Estimation for Multi-Antenna Multi-Carrier Systems
by: Rai, Chandrashekhar, et al.
Published: (2024)

Enhanced Fault Detection and Cause Identification Using Integrated Attention Mechanism
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)

Large-scale Training of Foundation Models for Wearable Biosignals
by: Abbaspourazad, Salar, et al.
Published: (2023)

Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB
by: Liu, Shengheng, et al.
Published: (2024)

Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
by: Abbaspourazad, Salar, et al.
Published: (2024)

Representation Learning for Wearable-Based Applications in the Case of Missing Data
by: Jungo, Janosch, et al.
Published: (2024)