activity
20172026
most citedFault in your stars: An Analysis of Android App Reviews

24 citations · 50 across the 7 of their papers we have counts for

collaborators

10 papers

cs.AI2026

ResonAct: Streaming Metrics for Runtime Diagnosis and Self-Healing in Multi-Agent Systems

Tarun Chintada, Neelamadhav Gantayat, Ishaan Romil +3

Multi-agent systems (MAS) are increasingly used to automate enterprise workflows involving multiple specialized agents, external tools, and long-running task execution. Failures ma…

cs.SE2025★ 2 cited

A Framework for Testing and Adapting REST APIs as LLM Tools

Jayachandu Bandlamudi, Ritwik Chaudhuri, Neelamadhav Gantayat +5

Large Language Models (LLMs) are increasingly used to build autonomous agents that perform complex tasks with external tools, often exposed through APIs in enterprise systems. Dire…

cs.LG2023★ 1 cited

AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data

Santosh Palaskar, Vijay Ekambaram, Arindam Jati +11

The efficiency of business processes relies on business key performance indicators (Biz-KPIs), that can be negatively impacted by IT failures. Business and IT Observability (BizITO…

cs.LG2020★ 4 cited

Online Similarity Learning with Feedback for Invoice Line Item Matching

Chandresh Kumar Maurya, Neelamadhav Gantayat, Sampath Dechu +1

The procure to pay process (P2P) in large enterprises is a back-end business process which deals with the procurement of products and services for enterprise operations. Procuremen…

cs.IR2019★ 2 cited

Using Semantic Role Knowledge for Relevance Ranking of Key Phrases in Documents: An Unsupervised Approach

Prateeti Mohapatra, Neelamadhav Gantayat, Gargi B. Dasgupta

In this paper, we investigate the integration of sentence position and semantic role of words in a PageRank system to build a key phrase ranking method. We present the evaluation r…

cs.CL2018

Sanskrit Sandhi Splitting using seq2(seq)^2

Rahul Aralikatte, Neelamadhav Gantayat, Naveen Panwar +2

In Sanskrit, small words (morphemes) are combined to form compound words through a process known as Sandhi. Sandhi splitting is the process of splitting a given compound word into…

cs.CL2017

Hi, how can I help you?: Automating enterprise IT support help desks

Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte +7

Question answering is one of the primary challenges of natural language understanding. In realizing such a system, providing complex long answers to questions is a challenging task…

cs.CL2017

mAnI: Movie Amalgamation using Neural Imitation

Naveen Panwar, Shreya Khare, Neelamadhav Gantayat +3

Cross-modal data retrieval has been the basis of various creative tasks performed by Artificial Intelligence (AI). One such highly challenging task for AI is to convert a book into…

cs.SE2017★ 17 cited

DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models

Anush Sankaran, Rahul Aralikatte, Senthil Mani +3

Traditional software engineering programming paradigms are mostly object or procedure oriented, driven by deterministic algorithms. With the advent of deep learning and cognitive s…

cs.LG2017★ 24 cited

Fault in your stars: An Analysis of Android App Reviews

Rahul Aralikatte, Giriprasad Sridhara, Neelamadhav Gantayat +1

Mobile app distribution platforms such as Google Play Store allow users to share their feedback about downloaded apps in the form of a review comment and a corresponding star ratin…