research
∙
11/17/2022
Targeted Attention for Generalized- and Zero-Shot Learning
The Zero-Shot Learning (ZSL) task attempts to learn concepts without any...
share
research
∙
05/20/2022
Constructive Interpretability with CoLabel: Corroborative Integration, Complementary Features, and Collaborative Learning
Machine learning models with explainable predictions are increasingly so...
research
∙
05/19/2022
MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News Detection
COVID-19 related misinformation and fake news, coined an 'infodemic', ha...
research
∙
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...
research
∙
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...
research
∙
09/09/2020
ODIN: Automated Drift Detection and Recovery in Video Analytics
Recent advances in computer vision have led to a resurgence of interest ...
research
∙
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...
research
∙
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 ...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
10/02/2019
Concept Drift Detection and Adaptation with Weak Supervision on Streaming Unlabeled Data
Concept drift in learning and classification occurs when the statistical...
research
∙
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...
research
∙
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...
research
∙
03/14/2018