13 citations · 46 across the 20 of their papers we have counts for
20 papers
Designing Decision Support Systems for Emergency Response: Challenges and Opportunities
Geoffrey Pettet, Hunter Baxter, Sayyed Mohsen Vazirizade +4
Designing effective emergency response management (ERM) systems to respond to incidents such as road accidents is a major problem faced by communities. In addition to responding to…
Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services
Yasas Senarath, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade +3
Emergency response is highly dependent on the time of incident reporting. Unfortunately, the traditional approach to receiving incident reports (e.g., calling 911 in the USA) has t…
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam
Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit +1
Transliteration is very common on social media, but transliterated text is not adequately handled by modern neural models for various NLP tasks. In this work, we combine data augme…
Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Tweets for Emergency Services
Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
During the onset of a disaster event, filtering relevant information from the social web data is challenging due to its sparse availability and practical limitations in labeling da…
Classifying Relevant Social Media Posts During Disasters Using Ensemble of Domain-agnostic and Domain-specific Word Embeddings
Ganesh Nalluru, Rahul Pandey, Hemant Purohit
The use of social media as a means of communication has significantly increased over recent years. There is a plethora of information flow over the different topics of discussion,…
Multi-stage Deep Classifier Cascades for Open World Recognition
Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu +4
At present, object recognition studies are mostly conducted in a closed lab setting with classes in test phase typically in training phase. However, real-world problem is far more…