Srikanth Tamilselvam

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 30

Top Topics

Sentiment Analysis

Learning Models

Top Venues

Publications

Mehant Kammakomati, Sameer Pimparkhede, Srikanth Tamilselvam, Prince Kumar, Pushpak Bhattacharyya
ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages. CoRR (2024)
Prince Kumar, Srikanth Tamilselvam, Dinesh Garg
Read between the lines - Functionality Extraction From READMEs. CoRR (2024)
Mayank Mishra, Prince Kumar, Riyaz Bhat, Rudra Murthy V, Danish Contractor, Srikanth Tamilselvam
Prompting with Pseudo-Code Instructions. CoRR (2023)
Mayank Mishra, Prince Kumar, Riyaz Bhat, Rudra Murthy V, Danish Contractor, Srikanth Tamilselvam
Prompting with Pseudo-Code Instructions. EMNLP (2023)
Debeshee Das, Noble Saji Mathews, Alex Mathai, Srikanth Tamilselvam, Kranthi Sedamaki, Sridhar Chimalakonda, Atul Kumar
COMEX: A Tool for Generating Customized Source Code Representations. ASE (2023)
Sridhar Chimalakonda, Debeshee Das, Alex Mathai, Srikanth Tamilselvam, Atul Kumar
The Landscape of Source Code Representation Learning in AI-Driven Software Engineering Tasks. ICSE Companion (2023)
Debeshee Das, Noble Saji Mathews, Alex Mathai, Srikanth Tamilselvam, Kranthi Sedamaki, Sridhar Chimalakonda, Atul Kumar
COMEX: A Tool for Generating Customized Source Code Representations. CoRR (2023)
Vini Kanvar, Ridhi Jain, Srikanth Tamilselvam
Handling Communication via APIs for Microservices. ICSE (NIER) (2023)
Vini Kanvar, Ridhi Jain, Srikanth Tamilselvam
Handling Communication via APIs for Microservices. CoRR (2023)
Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam
Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network. IJCAI (2022)
Vini Kanvar, Srikanth Tamilselvam, Raghavan Komondoor
Handling Memory Pointers in Communication between Microservices. ICWS (2022)
Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application. AAAI (2021)
Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application. CoRR (2021)
Shivali Agarwal, Raunak Sinha, Giriprasad Sridhara, Pratap Das, Utkarsh Desai, Srikanth Tamilselvam, Amith Singhee, Hiroaki Nakamuro
Monolith to Microservice Candidates using Business Functionality Inference. ICWS (2021)
Utkarsh Desai, Giriprasad Sridhara, Srikanth Tamilselvam
Advances in Code Summarization. ICSE (Companion Volume) (2021)
Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam
Monolith to Microservices: Representing Application Software through Heterogeneous GNN. CoRR (2021)
Raunak Sinha, Utkarsh Desai, Srikanth Tamilselvam, Senthil Mani
Evaluation of Siamese Networks for Semantic Code Search. CoRR (2020)
Utkarsh Desai, Srikanth Tamilselvam, Jassimran Kaur, Senthil Mani, Shreya Khare
Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions. CoRR (2020)
Alex Mathai, Shreya Khare, Srikanth Tamilselvam, Senthil Mani
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks. CoRR (2020)
Ameya Prabhu, Riddhiman Dasgupta, Anush Sankaran, Srikanth Tamilselvam, Senthil Mani
"You might also like this model": Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets. CoRR (2019)
Senthil Mani, Anush Sankaran, Srikanth Tamilselvam, Akshay Sethi
Coverage Testing of Deep Learning Models using Dataset Characterization. CoRR (2019)
Srikanth Tamilselvam, Naveen Panwar, Shreya Khare, Rahul Aralikatte, Anush Sankaran, Senthil Mani
A Visual Programming Paradigm for Abstract Deep Learning Model Development. CoRR (2019)
Nishtha Madaan, Shashank Mujumdar, Santosh Srivastava, Ankush Gupta, Srikanth Tamilselvam, Arun Kumar, Qinlong Luo
A System for Predicting Health of an E-Contract. SCC (2018)
Abhijit Mishra, Srikanth Tamilselvam, Riddhiman Dasgupta, Seema Nagar, Kuntal Dey
Cognition-Cognizant Sentiment Analysis With Multitask Subjectivity Summarization Based on Annotators' Gaze Behavior. AAAI (2018)
Arvind Agarwal, Balaji Ganesan, Ankush Gupta, Nitisha Jain, Hima Karanam, Arun Kumar, Nishtha Madaan, Vitobha Munigala, Srikanth Tamilselvam
Cognitive Compliance for Financial Regulations. IT Prof. 19 (4) (2017)
Srikanth Tamilselvam, Seema Nagar, Abhijit Mishra, Kuntal Dey
Graph Based Sentiment Aggregation using ConceptNet Ontology. IJCNLP(1) (2017)
Vitobha Munigala, Srikanth Tamilselvam, Anush Sankaran
"Let me convince you to buy my product ... ": A Case Study of an Automated Persuasive System for Fashion Products. CoRR (2017)
Nishtha Madaan, Hima Karanam, Ankush Gupta, Nitisha Jain, Arun Kumar, Srikanth Tamilselvam
Visual Exploration of Unstructured Regulatory Documents. IUI Companion (2017)
Srikanth Tamilselvam, Biplav Srivastava, Vishalaksh Aggarwal
Data-Based Promotion of Tourist Events with Minimal Operational Impact. IJCAI (2016)
Vishalaksh Aggarwal, Biplav Srivastava, Srikanth Tamilselvam
Towards a General Framework for Data-Driven City Comparison and Ranking. COMAD (2016)
Nanjangud C. Narendra, Karthikeyan Ponnalagu, Aditya K. Ghose, Srikanth Tamilselvam
Goal-Driven Context-Aware Data Filtering in IoT-Based Systems. ITSC (2015)
Mitesh Vasa, Srikanth Tamilselvam
Building apps with open data in india: an experience. IWP (2014)
Karthikeyan Ponnalagu, Nanjangud C. Narendra, Aditya Ghose, Neeraj Chiktey, Srikanth Tamilselvam
Goal Oriented Variability Modeling in Service-Based Business Processes. ICSOC (2013)
Raj Gupta, Biplav Srivastava, Srikanth Tamilselvam
Making public transportation schedule information consumable for improved decision making. ITSC (2012)
Sumana Bhat, Karen Brown, Ankur Jain, Bipin Joshi, Biplav Srivastava, Srikanth Tamilselvam, Terrence White
A Business Content Explorer for intelligent traffic projects. ITSC (2011)