41 citations · 142 across the 16 of their papers we have counts for
16 papers
Power Systems Performance under 5G Radio Access Network in a Co-Simulation Environment
Rahul Iyer, Biplav Choudhury, Vijay K. Shah +1
Communication can improve control of important system parameters by allowing different grid components to communicate their states with each other. This information exchange requir…
An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce
Rahul Radhakrishnan Iyer, Praveenkumar Kanumala, Stephen Guo +1
Searching for and making decisions about products is becoming increasingly easier in the e-commerce space, thanks to the evolution of recommender systems. Personalization and recom…
Transition-Based Dependency Parsing using Perceptron Learner
Rahul Radhakrishnan Iyer, Miguel Ballesteros, Chris Dyer +1
Syntactic parsing using dependency structures has become a standard technique in natural language processing with many different parsing models, in particular data-driven models th…
Modeling Product Search Relevance in e-Commerce
Rahul Radhakrishnan Iyer, Rohan Kohli, Shrimai Prabhumoye
With the rapid growth of e-Commerce, online product search has emerged as a popular and effective paradigm for customers to find desired products and engage in online shopping. How…
A Correspondence Analysis Framework for Author-Conference Recommendations
Rahul Radhakrishnan Iyer, Manish Sharma, Vijaya Saradhi
For many years, achievements and discoveries made by scientists are made aware through research papers published in appropriate journals or conferences. Often, established scientis…
Simultaneous Identification of Tweet Purpose and Position
Rahul Radhakrishnan Iyer, Yulong Pei, Katia Sycara
Tweet classification has attracted considerable attention recently. Most of the existing work on tweet classification focuses on topic classification, which classifies tweets into…
A Machine Learning Framework for Authorship Identification From Texts
Rahul Radhakrishnan Iyer, Carolyn Penstein Rose
Authorship identification is a process in which the author of a text is identified. Most known literary texts can easily be attributed to a certain author because they are, for exa…
A Heterogeneous Graphical Model to Understand User-Level Sentiments in Social Media
Rahul Radhakrishnan Iyer, Jing Chen, Haonan Sun +1
Social Media has seen a tremendous growth in the last decade and is continuing to grow at a rapid pace. With such adoption, it is increasingly becoming a rich source of data for op…
An Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in Text
Rahul Radhakrishnan Iyer, Katia Sycara
With the increasing growth of social media, people have started relying heavily on the information shared therein to form opinions and make decisions. While such a reliance is moti…
Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog Feeds
Rahul Radhakrishnan Iyer, Ronghuo Zheng, Yuezhang Li +1
Sentiment Analysis of microblog feeds has attracted considerable interest in recent times. Most of the current work focuses on tweet sentiment classification. But not much work has…
Object-sensitive Deep Reinforcement Learning
Yuezhang Li, Katia Sycara, Rahul Iyer
Deep reinforcement learning has become popular over recent years, showing superiority on different visual-input tasks such as playing Atari games and robot navigation. Although obj…
Transparency and Explanation in Deep Reinforcement Learning Neural Networks
Rahul Iyer, Yuezhang Li, Huao Li +3
Autonomous AI systems will be entering human society in the near future to provide services and work alongside humans. For those systems to be accepted and trusted, the users shoul…
Photorealistic Style Transfer for Videos
Michael Honke, Rahul Iyer, Dishant Mittal
Photorealistic style transfer is a technique which transfers colour from one reference domain to another domain by using deep learning and optimization techniques. Here, we present…
Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification
Yuezhang Li, Ronghuo Zheng, Tian Tian +3
Due to the lack of structured knowledge applied in learning distributed representation of cate- gories, existing work cannot incorporate category hierarchies into entity informatio…
Joint Embeddings of Hierarchical Categories and Entities
Yuezhang Li, Ronghuo Zheng, Tian Tian +3
Due to the lack of structured knowledge applied in learning distributed representation of categories, existing work cannot incorporate category hierarchies into entity information.…
Content-based Video Indexing and Retrieval Using Corr-LDA
Rahul Radhakrishnan Iyer, Sanjeel Parekh, Vikas Mohandoss +3
Existing video indexing and retrieval methods on popular web-based multimedia sharing websites are based on user-provided sparse tagging. This paper proposes a very specific way of…