90 citations · 116 across the 10 of their papers we have counts for
13 papers
Single Run Action Detector over Video Stream -- A Privacy Preserving Approach
Anbumalar Saravanan, Justin Sanchez, Hassan Ghasemzadeh +2
This paper takes initial strides at designing and evaluating a vision-based system for privacy ensured activity monitoring. The proposed technology utilizing Artificial Intelligenc…
Linear Mode Connectivity in Multitask and Continual Learning
Seyed Iman Mirzadeh, Mehrdad Farajtabar, Dilan Gorur +2
Continual (sequential) training and multitask (simultaneous) training are often attempting to solve the same overall objective: to find a solution that performs well on all conside…
Transfer Learning for Activity Recognition in Mobile Health
Yuchao Ma, Andrew T. Campbell, Diane J. Cook +6
While activity recognition from inertial sensors holds potential for mobile health, differences in sensing platforms and user movement patterns cause performance degradation. Aimin…
Pervasive Lying Posture Tracking
Paratoo Alinia, Ali Samadani, Mladen Milosevic +2
There exist significant gaps in research about how to design efficient in-bed lying posture tracking systems. These gaps can be articulated through several research questions as fo…
Understanding the Role of Training Regimes in Continual Learning
Seyed Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu +1
Catastrophic forgetting affects the training of neural networks, limiting their ability to learn multiple tasks sequentially. From the perspective of the well established plasticit…
Dropout as an Implicit Gating Mechanism For Continual Learning
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh
In recent years, neural networks have demonstrated an outstanding ability to achieve complex learning tasks across various domains. However, they suffer from the "catastrophic forg…
Personality Assessment from Text for Machine Commonsense Reasoning
Niloofar Hezarjaribi, Zhila Esna Ashari, James F. Frenzel +2
This article presents PerSense, a framework to estimate human personality traits based on expressed texts and to use them for commonsense reasoning analysis. The personality assess…
Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition
Marjan Nourollahi, Seyed Ali Rokni, Hassan Ghasemzadeh
Detecting when eating occurs is an essential step toward automatic dietary monitoring, medication adherence assessment, and diet-related health interventions. Wearable technologies…
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition
Parastoo Alinia, Iman Mirzadeh, Hassan Ghasemzadeh
Sensor-based human activity recognition has become a critical component of many emerging applications ranging from behavioral medicine to gaming. However, an unprecedented increase…
Adversarial Transferability in Wearable Sensor Systems
Ramesh Kumar Sah, Hassan Ghasemzadeh
Machine learning is used for inference and decision making in wearable sensor systems. However, recent studies have found that machine learning algorithms are easily fooled by the…
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification
Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi +2
Advances in embedded systems have enabled integration of many lightweight sensory devices within our daily life. In particular, this trend has given rise to continuous expansion of…
Resource-Efficient Computing in Wearable Systems
Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali +2
We propose two optimization techniques to minimize memory usage and computation while meeting system timing constraints for real-time classification in wearable systems. Our method…
Improved Knowledge Distillation via Teacher Assistant
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li +3
Despite the fact that deep neural networks are powerful models and achieve appealing results on many tasks, they are too large to be deployed on edge devices like smartphones or em…