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ORCIDSagar Sunkle
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2020 – today
- 2022
[j4]Sagar Sunkle, Krati Saxena
, Ashwini Patil, Vinay Kulkarni:
AI-driven streamlined modeling: experiences and lessons learned from multiple domains. Softw. Syst. Model. 21(3): 1-23 (2022)- [c46]Krati Saxena, Sagar Sunkle, Vinay Kulkarni:
Hybrid Search based Enhanced Named Entity Annotation Tool. ISEC 2022: 27:1-27:6 - 2021
- [j3]Sagar Sunkle, Deepak Jain, Krati Saxena, Ashwini Patil, Tushita Singh, Beena Rai, Vinay Kulkarni:
Integrated "Generate, Make, and Test" for Formulated Products using Knowledge Graphs. Data Intell. 3(3): 340-375 (2021) - [c45]Krati Saxena, Sagar Sunkle, Vinay Kulkarni:
Towards Recommendations from User-specific Insights based on Historical Legal Cases. ISEC 2021: 12:1-12:11 - [c44]Krati Saxena, Sagar Sunkle, Vinay Kulkarni:
Conceptual Framework Guided Legal Case Perspectives for Strategic Case Planning. ISIC 2021: 476-485 - [c43]Shreyansh Mehta, Mansi A. Radke, Sagar Sunkle:
Named Entity Recognition using Knowledge Graph Embeddings and DistilBERT. NLPIR 2021: 146-150 - 2020
- [c42]Sagar Sunkle, Krati Saxena, Ashwini Patil, Vinay Kulkarni, Deepak Jain, Rinu Chacko, Beena Rai:
Information Extraction and Graph Representation for the Design of Formulated Products. CAiSE 2020: 433-448 - [c41]Ashwini Patil, Sagar Sunkle, Vinay Kulkarni:
Checking, Generating, and Revising Safety Data Sheets using Globally Harmonized System Standards. EDOC 2020: 165-170 - [c40]Sagar Sunkle, Krati Saxena, Vinay Kulkarni:
Conceptual Modeling of Legal Case Insights for Stakeholder Decision Making. ER Forum/Posters/Demos 2020: 31-44 - [c39]Krati Saxena, Ashwini Patil, Sagar Sunkle, Vinay Kulkarni:
Mining Heterogeneous Data for Formulation Design. ICDM (Workshops) 2020: 589-596
2010 – 2019
- 2018
- [c38]Suman Roychoudhury, Sagar Sunkle, Namrata Choudhary, Deepali Kholkar, Vinay Kulkarni:
A Case Study on Modeling and Validating Financial Regulations Using (Semi-) Automated Compliance Framework. PoEM 2018: 288-302 - 2017
- [c37]Suman Roychoudhury, Sagar Sunkle, Deepali Kholkar, Vinay Kulkarni:
From Natural Language to SBVR Model Authoring Using Structured English for Compliance Checking. EDOC 2017: 73-78 - [c36]Deepali Kholkar, Sagar Sunkle, Vinay Kulkarni:
Semi-automated creation of regulation rule bases using generic template-driven rule extraction. ASAIL@ICAIL 2017 - [c35]Deepali Kholkar, Sagar Sunkle, Vinay Kulkarni:
Towards Automated Generation of Regulation Rule Bases using MDA. MODELSWARD 2017: 617-628 - [c34]Suman Roychoudhury, Sagar Sunkle, Deepali Kholkar, Vinay Kulkarni:
A domain-specific controlled English language for automated regulatory compliance (industrial paper). SLE 2017: 175-181 - 2016
- [c33]Sagar Sunkle, Deepali Kholkar, Vinay Kulkarni:
Informed Active Learning to Aid Domain Experts in Modeling Compliance. EDOC 2016: 1-10 - [c32]Sagar Sunkle, Deepali Kholkar, Vinay Kulkarni:
Comparison and Synergy Between Fact-Orientation and Relation Extraction for Domain Model Generation in Regulatory Compliance. ER 2016: 381-395 - [c31]Deepali Kholkar, Sagar Sunkle, Vinay Kulkarni:
From Natural-language Regulations to Enterprise Data using Knowledge Representation and Model Transformations. ICSOFT-PT 2016: 60-71 - [c30]Deepali Kholkar, Sagar Sunkle, Vinay Kulkarni:
Applying MDA to Rule and Data Generation for Compliance Checking. ICSOFT (Selected Papers) 2016: 239-263 - [c29]Sagar Sunkle, Deepali Kholkar:
Toward (Semi-) Automated End-to-End Model-driven Compliance Framework. ModSym+SAAAS@ISEC 2016: 33-38 - 2015
- [j2]Sagar Sunkle, Deepali Kholkar, Vinay Kulkarni:
Toward Better Mapping between Regulations and Operations of Enterprises Using Vocabularies and Semantic Similarity. Complex Syst. Informatics Model. Q. 5: 39-60 (2015) - [c28]Sagar Sunkle, Deepali Kholkar, Vinay Kulkarni:
Toward Better Mapping between Regulations and Operational Details of Enterprises Using Vocabularies and Semantic Similarity. CAiSE Forum 2015: 229-236 - [c27]Sagar Sunkle, Deepali Kholkar, Vinay Kulkarni:
Solving Semantic Disparity and Explanation Problems in Regulatory Compliance- A Research-In-Progress Report with Design Science Research Perspective. BMMDS/EMMSAD 2015: 326-341 - [c26]Sagar Sunkle, Deepali Kholkar, Vinay Kulkarni:
Model-driven regulatory compliance: A case study of "Know Your Customer" regulations. MoDELS 2015: 436-445 - [c25]Sagar Sunkle, Deepali Kholkar, Vinay Kulkarni:
Explanation of Proofs of Regulatory (Non-)Compliance Using Semantic Vocabularies. RuleML 2015: 388-403 - 2014
- [c24]Sagar Sunkle, Hemant Rathod:
Visual and Ontological Modeling Support for Extended Enterprise Models. CAiSE (Forum/Doctoral Consortium) 2014: 193-200 - [c23]Sagar Sunkle, Hemant Rathod:
Visual and Ontological Modeling and Analysis Support for Extended Enterprise Models. CAiSE Forum (Selected Extended Papers) 2014: 233-249 - [c22]Sagar Sunkle, Deepali Kholkar, Hemant Rathod, Vinay Kulkarni:
Incorporating Directives into Enterprise TO-BE Architecture. EDOC Workshops 2014: 57-66 - [c21]Suman Roychoudhury, Sagar Sunkle, Hemant Rathod, Vinay Kulkarni:
Toward Structured Simulation of Enterprise Models. EDOC Workshops 2014: 72-76 - [c20]Sagar Sunkle, Hemant Rathod:
Visual Modeling Editor and Ontology API-Based Analysis for Decision Making in Enterprises - Experience and Way Ahead. EDOC Workshops 2014: 182-190 - [c19]Sagar Sunkle, Suman Roychoudhury, Hemant Rathod, Vinay Kulkarni:
Toward Structured Simulation of What-If Analyses for Enterprise. EDOC Workshops 2014: 222-226 - [c18]Sagar Sunkle, Hemant Rathod, Vinay Kulkarni:
Practical Goal Modeling for Enterprise Change Context: A Problem Statement. ER Workshops 2014: 139-144 - [c17]Suman Roychoudhury, Sagar Sunkle, Vinay Kulkarni:
Impact of Dynamicity and Causality on Cost Drivers in Effort Estimation. ICEIS (2) 2014: 409-414 - 2013
- [c16]Sagar Sunkle, Vinay Kulkarni, Suman Roychoudhury:
Analyzable Enterprise Models Using Ontology. CAiSE Forum 2013: 33-40 - [c15]Vinay Kulkarni, Sagar Sunkle:
Toward Innovative Model Based Enterprise IT Outsourcing. CAiSE Workshops 2013: 253-263 - [c14]Sagar Sunkle, Vinay Kulkarni, Suman Roychoudhury:
Intentional Modeling for Problem Solving in Enterprise Architecture. ICEIS (3) 2013: 267-274 - [c13]Sagar Sunkle, Suman Roychoudhury, Vinay Kulkarni:
Using Intentional and System Dynamics Modeling to Address WHYs in Enterprise Architecture. ICSOFT 2013: 24-31 - [c12]Sagar Sunkle, Vinay Kulkarni, Hemant Rathod:
(Multi-) Modeling Enterprises for Better Decisions. GEMOC+AMINO@MoDELS 2013: 69-78 - [c11]Sagar Sunkle, Vinay Kulkarni, Suman Roychoudhury:
Analyzing Enterprise Models Using Enterprise Architecture-Based Ontology. MoDELS 2013: 622-638 - [c10]Vinay Kulkarni, Suman Roychoudhury, Sagar Sunkle, Tony Clark, Balbir Barn:
Modelling and Enterprises - The Past, the Present and the Future. MODELSWARD 2013: 95-100 - [c9]Vinay Kulkarni, Sagar Sunkle:
Next Wave of Servicing Enterprise IT Needs. CBI 2013: 323-330 - 2012
- [j1]Sebastian Günther, Sagar Sunkle:
rbFeatures: Feature-oriented programming with Ruby. Sci. Comput. Program. 77(3): 152-173 (2012) - [c8]Sagar Sunkle, Vinay Kulkarni, Suman Roychoudhury:
Measuring metadata-based aspect-oriented code in model-driven engineering. WETSoM 2012: 2-8 - [c7]Sagar Sunkle, Vinay Kulkarni:
Cost Estimation for Model-Driven Engineering. MoDELS 2012: 659-675 - 2011
- [b1]Sagar Sunkle:
First-class features. Otto von Guericke University Magdeburg, 2011 - 2010
- [c6]Sagar Sunkle, Mario Pukall:
Using reified contextual information for safe run-time adaptation of software product lines. RAM-SE@ECOOP 2010: 3:1-3:6 - [c5]Sebastian Günther, Sagar Sunkle:
Dynamically adaptable software product lines using Ruby metaprogramming. FOSD 2010: 80-87 - [c4]Sagar Sunkle:
Assessing Modularity of Feature Concern. SPLC Workshops 2010: 11-12
2000 – 2009
- 2009
- [c3]Marko Rosenmüller, Christian Kästner, Norbert Siegmund, Sagar Sunkle, Sven Apel, Thomas Leich, Gunter Saake:
SQL á la Carte - Toward Tailor-made Data Management. BTW 2009: 117-136 - [c2]Sebastian Günther, Sagar Sunkle:
Feature-oriented programming with Ruby. FOSD 2009: 11-18 - 2008
- [c1]Sagar Sunkle, Martin Kuhlemann, Norbert Siegmund, Marko Rosenmüller, Gunter Saake:
Generating Highly Customizable SQL Parsers. Software Engineering for Tailor-made Data Management 2008: 29-34
Coauthor Index
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