default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSrikanth Tamilselvam
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2019
[j3]Arvind Agarwal
, Aparna Gupta, Arun Kumar, Srikanth G. Tamilselvam:
Learning risk culture of banks using news analytics. Eur. J. Oper. Res. 277(2): 770-783 (2019)- 2017
- [j2]Yu Deng, Kaoutar El Maghraoui, Thomas D. Griffin, Vikas Agarwal, Srikanth G. Tamilselvam, Rahul D. Sharnagat, Tabari H. Alexander, Nicolas E. Gómez, Christopher M. Cramer, Alan Bivens, Divyesh Jadav, Zaman M. Valli-Hasham, Kevin Wahlmeier:
Advanced search system for IT support services. IBM J. Res. Dev. 61(1): 3:27-3:40 (2017) - [j1]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): 28-35 (2017)
Conference and Workshop Papers
- 2025
- [c31]Kishan Maharaj, Vitobha Munigala, Srikanth G. Tamilselvam, Prince Kumar, Sayandeep Sen, Palani Kodeswaran, Abhijit Mishra, Pushpak Bhattacharyya:
ETF: An Entity Tracing Framework for Hallucination Detection in Code Summaries. ACL (1) 2025: 30639-30652 - [c30]Jayant Havare, Varsha Apte, Kaushikraj Maharajan, Nithin Chandra Gupta Samudrala, Ganesh Ramakrishnan, Srikanth Tamilselvam, Sainath Vavilapalli:
Ai-Based Automated Grading of Source Code of Introductory Programming Assignments. ICPC 2025: 171-181 - [c29]Goda Nagakalyani, Saurav Chaudhary, Varsha Apte, Ganesh Ramakrishnan, Srikanth Tamilselvam:
Design and Evaluation of an AI-Assisted Grading Tool for Introductory Programming Assignments: An Experience Report. SIGCSE (1) 2025: 805-811 - [c28]Rahul Krishna, Rangeet Pan, Saurabh Sinha, Srikanth Tamilselvam, Raju Pavuluri, Maja Vukovic:
Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights. SIGSOFT FSE Companion 2025: 308-318 - [c27]Ashita Saxena, Palanivel A. Kodeswaran, Sayandeep Sen, Srikanth Tamilselvam:
Measuring What Matters: An Aggregate Metric for Assessing Enterprise Code Summaries. SIGSOFT FSE Companion 2025: 666-670 - 2024
- [c26]Sameer Pimparkhede, Mehant Kammakomati, Srikanth Tamilselvam, Prince Kumar, Ashok Pon Kumar, Pushpak Bhattacharyya:
DocCGen: Document-based Controlled Code Generation. EMNLP 2024: 18681-18697 - [c25]Prince Kumar, Srikanth Tamilselvam, Dinesh Garg:
Read between the lines - Functionality Extraction From READMEs. NAACL-HLT (Findings) 2024: 3977-3990 - 2023
- [c24]Mayank Mishra, Prince Kumar, Riyaz A. Bhat, Rudra Murthy V, Danish Contractor, Srikanth Tamilselvam:
Prompting with Pseudo-Code Instructions. EMNLP 2023: 15178-15197 - [c23]Vini Kanvar, Ridhi Jain, Srikanth Tamilselvam:
Handling Communication via APIs for Microservices. ICSE (NIER) 2023: 37-42 - [c22]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: 342-343 - [c21]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: 2054-2057 - 2022
- [c20]Vini Kanvar, Srikanth Tamilselvam, Raghavan Komondoor:
Handling Memory Pointers in Communication between Microservices. ICWS 2022: 85-90 - [c19]Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam:
Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network. IJCAI 2022: 3905-3911 - 2021
- [c18]Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam:
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application. AAAI 2021: 72-80 - [c17]Utkarsh Desai, Giriprasad Sridhara, Srikanth Tamilselvam:
Advances in Code Summarization. ICSE (Companion Volume) 2021: 330-331 - [c16]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: 758-763 - 2019
- [c15]Sai Koti Reddy Danda, Amrita Saha, Srikanth G. Tamilselvam, Priyanka Agrawal, Pankaj Dayama:
Risk Averse Reinforcement Learning for Mixed Multi-agent Environments. AAMAS 2019: 2171-2173 - [c14]Rohith Dwarakanath Vallam, Ramasuri Narayanam, Srikanth G. Tamilselvam, Nicholas Mattei, Sudhanshu S. Singh, Shweta Garg, Gyana R. Parija:
DeepAggregation: A New Approach for Aggregating Incomplete Ranked Lists using Multi-Layer Graph Embedding. AAMAS 2019: 2235-2237 - [c13]Srikanth G. Tamilselvam, Naveen Panwar, Shreya Khare, Rahul Aralikatte, Anush Sankaran, Senthil Mani:
A visual programming paradigm for abstract deep learning model development. IndiaHCI 2019: 16:1-16:11 - 2018
- [c12]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: 57-64 - [c11]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: 5884-5891 - [c10]Vitobha Munigala, Abhijit Mishra, Srikanth G. Tamilselvam, Shreya Khare, Riddhiman Dasgupta, Anush Sankaran:
PersuAIDE ! An Adaptive Persuasive Text Generation System for Fashion Domain. WWW (Companion Volume) 2018: 335-342 - 2017
- [c9]Srikanth Tamilselvam, Seema Nagar, Abhijit Mishra, Kuntal Dey:
Graph Based Sentiment Aggregation using ConceptNet Ontology. IJCNLP(1) 2017: 525-535 - [c8]Nishtha Madaan, Hima Karanam, Ankush Gupta, Nitisha Jain, Arun Kumar, Srikanth Tamilselvam:
Visual Exploration of Unstructured Regulatory Documents. IUI Companion 2017: 129-132 - 2016
- [c7]Vishalaksh Aggarwal, Biplav Srivastava, Srikanth Tamilselvam:
Towards a General Framework for Data-Driven City Comparison and Ranking. COMAD 2016: 78-81 - [c6]Srikanth Tamilselvam, Biplav Srivastava, Vishalaksh Aggarwal:
Data-Based Promotion of Tourist Events with Minimal Operational Impact. IJCAI 2016: 4270-4271 - 2015
- [c5]Nanjangud C. Narendra, Karthikeyan Ponnalagu, Aditya K. Ghose, Srikanth Tamilselvam:
Goal-Driven Context-Aware Data Filtering in IoT-Based Systems. ITSC 2015: 2172-2179 - 2014
- [c4]Mitesh Vasa, Srikanth Tamilselvam:
Building apps with open data in india: an experience. IWP 2014: 1-7 - 2013
- [c3]Karthikeyan Ponnalagu, Nanjangud C. Narendra, Aditya Ghose, Neeraj Chiktey, Srikanth Tamilselvam:
Goal Oriented Variability Modeling in Service-Based Business Processes. ICSOC 2013: 499-506 - 2012
- [c2]Raj Gupta, Biplav Srivastava, Srikanth Tamilselvam:
Making public transportation schedule information consumable for improved decision making. ITSC 2012: 1862-1867 - 2011
- [c1]Sumana Bhat, Karen Brown, Ankur Jain, Bipin Joshi, Biplav Srivastava, Srikanth Tamilselvam, Terrence White:
A Business Content Explorer for intelligent traffic projects. ITSC 2011: 1833-1838
Informal and Other Publications
- 2025
- [i21]Jayant Havare, Saurav Chaudhary, Ganesh Ramakrishnan, Kaushikraj Maharajan, Srikanth Tamilselvam:
A Code Comprehension Benchmark for Large Language Models for Code. CoRR abs/2507.10641 (2025) - 2024
- [i20]Prince Kumar, Srikanth Tamilselvam, Dinesh Garg:
Read between the lines - Functionality Extraction From READMEs. CoRR abs/2403.10205 (2024) - [i19]Sameer Pimparkhede, Mehant Kammakomati, Srikanth G. Tamilselvam, Prince Kumar, Ashok Pon Kumar, Pushpak Bhattacharyya:
DocCGen: Document-based Controlled Code Generation. CoRR abs/2406.11925 (2024) - [i18]Mehant Kammakomati, Sameer Pimparkhede, Srikanth Tamilselvam, Prince Kumar, Pushpak Bhattacharyya:
ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages. CoRR abs/2407.03387 (2024) - [i17]Vini Kanvar, Srikanth Tamilselvam, Keerthi Narayan Raghunath:
Enabling Communication via APIs for Mainframe Applications. CoRR abs/2408.04230 (2024) - [i16]Rahul Krishna, Rangeet Pan, Raju Pavuluri, Srikanth Tamilselvam, Maja Vukovic, Saurabh Sinha:
Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights. CoRR abs/2410.13007 (2024) - [i15]Kishan Maharaj, Vitobha Munigala, Srikanth G. Tamilselvam, Prince Kumar, Sayandeep Sen, Palani Kodeswaran, Abhijit Mishra, Pushpak Bhattacharyya:
ETF: An Entity Tracing Framework for Hallucination Detection in Code Summaries. CoRR abs/2410.14748 (2024) - [i14]Alex Mathai, Kranthi Sedamaki, Debeshee Das, Noble Saji Mathews, Srikanth Tamilselvam, Sridhar Chimalakonda, Atul Kumar:
CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View Graphs. CoRR abs/2411.14611 (2024) - 2023
- [i13]Mayank Mishra, Prince Kumar, Riyaz A. Bhat, Rudra Murthy V, Danish Contractor, Srikanth Tamilselvam:
Prompting with Pseudo-Code Instructions. CoRR abs/2305.11790 (2023) - [i12]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 abs/2307.04693 (2023) - [i11]Vini Kanvar, Ridhi Jain, Srikanth Tamilselvam:
Handling Communication via APIs for Microservices. CoRR abs/2308.01302 (2023) - 2021
- [i10]Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam:
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application. CoRR abs/2102.03827 (2021) - [i9]Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam:
Monolith to Microservices: Representing Application Software through Heterogeneous GNN. CoRR abs/2112.01317 (2021) - 2020
- [i8]Utkarsh Desai, Srikanth Tamilselvam, Jassimran Kaur, Senthil Mani, Shreya Khare:
Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions. CoRR abs/2002.00754 (2020) - [i7]Raunak Sinha, Utkarsh Desai, Srikanth Tamilselvam, Senthil Mani:
Evaluation of Siamese Networks for Semantic Code Search. CoRR abs/2011.01043 (2020) - [i6]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 abs/2011.03901 (2020) - 2019
- [i5]Srikanth Tamilselvam, Naveen Panwar, Shreya Khare, Rahul Aralikatte, Anush Sankaran, Senthil Mani:
A Visual Programming Paradigm for Abstract Deep Learning Model Development. CoRR abs/1905.02486 (2019) - [i4]Srikanth G. Tamilselvam, Ankush Gupta, Arvind Agarwal:
Compliance Change Tracking in Business Process Services. CoRR abs/1908.07190 (2019) - [i3]Senthil Mani, Anush Sankaran, Srikanth Tamilselvam, Akshay Sethi:
Coverage Testing of Deep Learning Models using Dataset Characterization. CoRR abs/1911.07309 (2019) - [i2]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 abs/1911.11433 (2019) - 2017
- [i1]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 abs/1709.08366 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-08-16 03:50 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
