activity
20162022
most citedLearning Concept Hierarchies through Probabilistic Topic Modeling

3 citations · 4 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CY2022

Gender Bias in Fake News: An Analysis

Navya Sahadevan, Deepak P

Data science research into fake news has gathered much momentum in recent years, arguably facilitated by the emergence of large public benchmark datasets. While it has been well-es…

cs.CY2021

On Fairness and Interpretability

Deepak P, Sanil V, Joemon M. Jose

Ethical AI spans a gamut of considerations. Among these, the most popular ones, fairness and interpretability, have remained largely distinct in technical pursuits. We discuss and…

cs.CL2020★ 1 cited

Exploring Thematic Coherence in Fake News

Martins Samuel Dogo, Deepak P, Anna Jurek-Loughrey

The spread of fake news remains a serious global issue; understanding and curtailing it is paramount. One way of differentiating between deceptive and truthful stories is by analyz…

cs.CL2020

ReSCo-CC: Unsupervised Identification of Key Disinformation Sentences

Soumya Suvra Ghosal, Deepak P, Anna Jurek-Loughrey

Disinformation is often presented in long textual articles, especially when it relates to domains such as health, often seen in relation to COVID-19. These articles are typically o…

cs.SI2020

Modeling Implicit Communities using Spatio-Temporal Point Processes from Geo-tagged Event Traces

Ankita Likhyani, Vinayak Gupta, Srijith P. K. +2

The location check-ins of users through various location-based services such as Foursquare, Twitter, and Facebook Places, etc., generate large traces of geo-tagged events. These ev…

cs.CL2020

Unsupervised Separation of Native and Loanwords for Malayalam and Telugu

Sridhama Prakhya, Deepak P

Quite often, words from one language are adopted within a different language without translation; these words appear in transliterated form in text written in the latter language.…

cs.LG2019

Warping Resilient Scalable Anomaly Detection in Time Series

Abilasha S, Sahely Bhadra, Deepak P +1

Time series data is ubiquitous in the real-world problems across various domains including healthcare, social media, and crime surveillance. Detecting anomalies, or irregular and r…

cs.AI2016★ 3 cited

Learning Concept Hierarchies through Probabilistic Topic Modeling

V. S. Anoop, S. Asharaf, P. Deepak

With the advent of semantic web, various tools and techniques have been introduced for presenting and organizing knowledge. Concept hierarchies are one such technique which gained…