research
∙
03/16/2023
The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints
Medications often impose temporal constraints on everyday patient activi...
share
research
∙
01/17/2023
ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence
Prescription medications often impose temporal constraints on regular he...
research
∙
06/14/2022
ADARP: A Multi Modal Dataset for Stress and Alcohol Relapse Quantification in Real Life Setting
Stress detection and classification from wearable sensor data is an emer...
research
∙
07/12/2021
Stress Classification and Personalization: Getting the most out of the least
Stress detection and monitoring is an active area of research with impor...
research
∙
07/01/2021
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error
Inter-beat interval (IBI) measurement enables estimation of heart-rate v...
research
∙
02/05/2021
Single Run Action Detector over Video Stream – A Privacy Preserving Approach
This paper takes initial strides at designing and evaluating a vision-ba...
research
∙
10/09/2020
Linear Mode Connectivity in Multitask and Continual Learning
Continual (sequential) training and multitask (simultaneous) training ar...
research
∙
07/12/2020
Transfer Learning for Activity Recognition in Mobile Health
While activity recognition from inertial sensors holds potential for mob...
research
∙
06/19/2020
Pervasive Lying Posture Tracking
There exist significant gaps in research about how to design efficient i...
research
∙
06/12/2020
Understanding the Role of Training Regimes in Continual Learning
Catastrophic forgetting affects the training of neural networks, limitin...
research
∙
04/24/2020
Dropout as an Implicit Gating Mechanism For Continual Learning
In recent years, neural networks have demonstrated an outstanding abilit...
research
∙
04/15/2020
Personality Assessment from Text for Machine Commonsense Reasoning
This article presents PerSense, a framework to estimate human personalit...
research
∙
03/29/2020
Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition
Detecting when eating occurs is an essential step toward automatic dieta...
research
∙
03/17/2020
Adversarial Transferability in Wearable Sensor Systems
Machine learning has increasingly become the most used approach for infe...
research
∙
03/16/2020
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition
Sensor-based human activity recognition has become a critical component ...
research
∙
07/28/2019
Mindful Active Learning
We propose a novel active learning framework for activity recognition us...
research
∙
07/07/2019
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification
Advances in embedded systems have enabled integration of many lightweigh...
research
∙
07/07/2019
Resource-Efficient Computing in Wearable Systems
We propose two optimization techniques to minimize memory usage and comp...
research
∙
02/09/2019
Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher
Despite the fact that deep neural networks are powerful models and achie...
research
∙
01/25/2018