111 citations · 507 across the 58 of their papers we have counts for
61 papers
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback
Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy O'Shea +1
Anomaly detection is a ubiquitous and challenging task relevant across many disciplines. With the vital role communication networks play in our daily lives, the security of these n…
Memetic algorithms for Spatial Partitioning problems
Subhodip Biswas, Fanglan Chen, Zhiqian Chen +2
Spatial optimization problems (SOPs) are characterized by spatial relationships governing the decision variables, objectives, and/or constraint functions. In this article, we focus…
Innovations in Neural Data-to-text Generation: A Survey
Mandar Sharma, Ajay Gogineni, Naren Ramakrishnan
The neural boom that has sparked natural language processing (NLP) research through the last decade has similarly led to significant innovations in data-to-text generation (DTG). T…
Framing Algorithmic Recourse for Anomaly Detection
Debanjan Datta, Feng Chen, Naren Ramakrishnan
The problem of algorithmic recourse has been explored for supervised machine learning models, to provide more interpretable, transparent and robust outcomes from decision support s…
Improving Zero-Shot Event Extraction via Sentence Simplification
Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan
The success of sites such as ACLED and Our World in Data have demonstrated the massive utility of extracting events in structured formats from large volumes of textual data in the…
Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores
Nikhil Muralidhar, Abdullah Zubair, Nathanael Weidler +2
The availability of wide-ranging third-party intellectual property (3PIP) cores enables integrated circuit (IC) designers to focus on designing high-level features in ASICs/SoCs. T…