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02/07/2023
AI and Core Electoral Processes: Mapping the Horizons
Significant enthusiasm around AI uptake has been witnessed across societ...
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01/21/2023
Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models
Groundbreaking inventions and highly significant performance improvement...
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01/21/2023
REDAffectiveLM: Leveraging Affect Enriched Embedding and Transformer-based Neural Language Model for Readers' Emotion Detection
Technological advancements in web platforms allow people to express and ...
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12/29/2022
Cluster-level Group Representativity Fairness in k-means Clustering
There has been much interest recently in developing fair clustering algo...
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09/24/2022
On Gender Bias in Fake News
Data science research into fake news has gathered much momentum in recen...
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05/31/2022
Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers
From the latter half of the last decade, there has been a growing intere...
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05/04/2022
Exploring Rawlsian Fairness for K-Means Clustering
We conduct an exploratory study that looks at incorporating John Rawls' ...
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04/21/2022
Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias
The remarkable progress in Natural Language Processing (NLP) brought abo...
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06/24/2021
On Fairness and Interpretability
Ethical AI spans a gamut of considerations. Among these, the most popula...
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12/16/2020
Exploring Thematic Coherence in Fake News
The spread of fake news remains a serious global issue; understanding an...
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10/21/2020
ReSCo-CC: Unsupervised Identification of Key Disinformation Sentences
Disinformation is often presented in long textual articles, especially w...
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10/11/2020
Local Connectivity in Centroid Clustering
Clustering is a fundamental task in unsupervised learning, one that targ...
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10/11/2020
Representativity Fairness in Clustering
Incorporating fairness constructs into machine learning algorithms is a ...
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07/08/2020
Whither Fair Clustering?
Within the relatively busy area of fair machine learning that has been d...
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05/20/2020
Fair Outlier Detection
An outlier detection method may be considered fair over specified sensit...
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02/12/2020
Unsupervised Separation of Native and Loanwords for Malayalam and Telugu
Quite often, words from one language are adopted within a different lang...
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10/11/2019
Fairness in Clustering with Multiple Sensitive Attributes
A clustering may be considered as fair on pre-specified sensitive attrib...
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06/26/2019
On the Coherence of Fake News Articles
The generation and spread of fake news within new and online media sourc...
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06/12/2019
Warping Resilient Time Series Embeddings
Time series are ubiquitous in real world problems and computing distance...
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10/30/2018
Topic-Specific Sentiment Analysis Can Help Identify Political Ideology
Ideological leanings of an individual can often be gauged by the sentime...
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03/26/2018
