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ORCIDSrikanth Tamilselvam
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2020 – today
- 2024
[c25]Prince Kumar, Srikanth Tamilselvam, Dinesh Garg:
Read between the lines - Functionality Extraction From READMEs. NAACL-HLT (Findings) 2024: 3977-3990- [i17]Prince Kumar, Srikanth Tamilselvam, Dinesh Garg:
Read between the lines - Functionality Extraction From READMEs. CoRR abs/2403.10205 (2024) - [i16]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) - [i15]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) - [i14]Vini Kanvar, Srikanth Tamilselvam, Keerthi Narayan Raghunath:
Enabling Communication via APIs for Mainframe Applications. CoRR abs/2408.04230 (2024) - 2023
- [c24]Mayank Mishra, Prince Kumar, Riyaz 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 - [i13]Mayank Mishra, Prince Kumar, Riyaz 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) - 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 - [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)
2010 – 2019
- 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) - [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 - [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) - 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
- [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) - [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 - [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) - 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
Coauthor Index
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last updated on 2024-09-15 00:42 CEST by the dblp team
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