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20122022
most citedMulti-stage Deep Classifier Cascades for Open World Recognition

13 citations · 46 across the 20 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.SI2019★ 3 cited

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,…

cs.LG2019★ 13 cited

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…

cs.SI2019★ 8 cited

Modeling Human Annotation Errors to Design Bias-Aware Systems for Social Stream Processing

Rahul Pandey, Carlos Castillo, Hemant Purohit

High-quality human annotations are necessary to create effective machine learning systems for social media. Low-quality human annotations indirectly contribute to the creation of i…

cs.SI2019★ 2 cited

Relevancy Classification of Multimodal Social Media Streams for Emergency Services

Ganesh Nalluru, Rahul Pandey, Hemant Purohit

Social media has become an integral part of our daily lives. During time-critical events, the public shares a variety of posts on social media including reports for resource needs,…

cs.CY2019★ 4 cited

UTPO: User's Trust Profile Ontology - Modeling trust towards Online Health Information Sources

Prakruthi Karuna, Hemant Purohit, Vivian Motti

Despite the overwhelming quantity of health information that is available online today, finding reliable and trustworthy information is still challenging, even when advanced recomm…