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05/20/2022
Constructive Interpretability with CoLabel: Corroborative Integration, Complementary Features, and Collaborative Learning
Machine learning models with explainable predictions are increasingly so...
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05/19/2022
MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News Detection
COVID-19 related misinformation and fake news, coined an 'infodemic', ha...
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05/15/2022
Evaluating Generalizability of Fine-Tuned Models for Fake News Detection
The Covid-19 pandemic has caused a dramatic and parallel rise in dangero...
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11/09/2020
Challenges and Opportunities in Rapid Epidemic Information Propagation with Live Knowledge Aggregation from Social Media
A rapidly evolving situation such as the COVID-19 pandemic is a signific...
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09/09/2020
ODIN: Automated Drift Detection and Recovery in Video Analytics
Recent advances in computer vision have led to a resurgence of interest ...
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02/06/2020
Looking GLAMORous: Vehicle Re-Id in Heterogeneous Cameras Networks with Global and Local Attention
Vehicle re-identification (re-id) is a fundamental problem for modern su...
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01/24/2020
Small, Accurate, and Fast Vehicle Re-ID on the Edge: the SAFR Approach
We propose a Small, Accurate, and Fast Re-ID (SAFR) design for flexible ...
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01/23/2020
EventMapper: Detecting Real-World Physical Events Using Corroborative and Probabilistic Sources
The ubiquity of social media makes it a rich source for physical event d...
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12/09/2019
Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking in Multi-Camera Networks
As camera networks have become more ubiquitous over the past decade, the...
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11/21/2019
Event Detection in Noisy Streaming Data with Combination of Corroborative and Probabilistic Sources
Global physical event detection has traditionally relied on dense covera...
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09/17/2019
Concept Drift Adaptive Physical Event Detection for Social Media Streams
Event detection has long been the domain of physical sensors operating i...
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09/17/2019
ASSED -- A Framework for Identifying Physical Events through Adaptive Social Sensor Data Filtering
Physical event detection has long been the domain of static event proces...
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08/18/2019
Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks
Learning Rate (LR) is an important hyper-parameter to tune for effective...
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04/03/2019
Differentially Private Model Publishing for Deep Learning
Deep learning techniques based on neural networks have shown significant...
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10/29/2018
A Comparative Measurement Study of Deep Learning as a Service Framework
Big data powered Deep Learning (DL) and its applications have blossomed ...
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07/05/2018
