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Sandeep Kumar Singh 0001
Person information
- affiliation: Jaypee Institute of Information Technology, Noida, India
Other persons with the same name
- Sandeep Kumar Singh — disambiguation page
- Sandeep Kumar Singh 0002
— University of California, Davis, USA (and 2 more)
- Sandeep Kumar Singh 0003
- Sandeep Kumar Singh 0004
- Sandeep Kumar Singh 0005
- Sandeep K. Singh 0002
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2020 – today
- 2024
- [j21]Yogita Khatri
Predictive software maintenance utilizing cross-project data. Int. J. Syst. Assur. Eng. Manag. 15(4): 1503-1518 (2024) - [j20]Neetu Singh
A systematic literature review of solutions for cold start problem. Int. J. Syst. Assur. Eng. Manag. 15(7): 2818-2852 (2024) - 2023
- [j19]Saurabh Kumar Srivastava, Ankit Vidyarthi, Sandeep Kumar Singh
Chapter Eleven - Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi-label text classification on big social network graph data. Adv. Comput. 128: 287-312 (2023) - [j18]Yogita Khatri
An effective software cross-project fault prediction model for quality improvement. Sci. Comput. Program. 226: 102918 (2023) - [j17]Ruchin Gupta
A Novel Transfer Learning Method for Code Smell Detection on Heterogeneous Data: A Feasibility Study. SN Comput. Sci. 4(6): 749 (2023) - [c19]Neetu Singh
An Empirical Assessment of the Performance of Multi-Armed Bandits and Contextual Multi-Armed Bandits in Handling Cold-Start Bugs. IC3 2023: 750-758 - 2022
- [j16]Yogita Khatri
Towards building a pragmatic cross-project defect prediction model combining non-effort based and effort-based performance measures for a balanced evaluation. Inf. Softw. Technol. 150: 106980 (2022) - [j15]Yogita Khatri
Cross project defect prediction: a comprehensive survey with its SWOT analysis. Innov. Syst. Softw. Eng. 18(2): 263-281 (2022) - [j14]Ruchin Gupta
A Novel Metric based Detection of Temporary Field Code Smell and its Empirical Analysis. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part B): 9478-9500 (2022) - 2021
- [c18]Neetu Singh
MABTriage: Multi Armed Bandit Triaging Model Approach. IC3 2021: 457-460 - [c17]Ruchin Gupta
Using Machine Learning for Inter-smell Detection: A Feasibility Study. ICAIDS 2021: 291-305 - 2020
- [j13]Archana Purwar, Sandeep Kumar Singh
A novel ensemble classifier by combining sampling and genetic algorithm to combat multiclass imbalanced problems. Int. J. Data Anal. Tech. Strateg. 12(1): 30-42 (2020) - [j12]Asmita Yadav
A novel and improved developer rank algorithm for bug assignment. Int. J. Intell. Syst. Technol. Appl. 19(1): 78-101 (2020)
2010 – 2019
- 2019
- [j11]Saurabh Kumar Srivastava
Effect of incremental feature enrichment on healthcare text classification system: A machine learning paradigm. Comput. Methods Programs Biomed. 172: 35-51 (2019) - [j10]Indu Chawla, Sandeep Kumar Singh:
Improving bug report quality by predicting correct component in bug reports. Int. J. Comput. Intell. Stud. 8(1/2): 143-157 (2019) - [j9]Asmita Yadav
Ranking of software developers based on expertise score for bug triaging. Inf. Softw. Technol. 112: 1-17 (2019) - [c16]Shruti Sahu, Sandeep Kumar Singh
Ethics in AI: Collaborative filtering based approach to alleviate strong user biases and prejudices. IC3 2019: 1-6 - 2018
- [j8]Indu Chawla, Sandeep K. Singh:
Automated labeling of issue reports using semi supervised approach. J. Comput. Methods Sci. Eng. 18(1): 177-191 (2018) - [j7]Saurabh Kumar Srivastava, Sandeep Kumar Singh
Healthcare Text Classification System and its Performance Evaluation: A Source of Better Intelligence by Characterizing Healthcare Text. J. Medical Syst. 42(5): 97:1-97:35 (2018) - [c15]Naincy Saxena, Manasvi Duggal, Aditya Mishra, Sandeep Kumar Singh
A Novel Multimedia Based Approach of Classification and Visualisation of Extremist Hotspots. IC3 2018: 1-4 - 2017
- [j6]Indu Chawla, Sandeep Kumar Singh:
A fuzzy-based approach for bug report categorisation. Int. J. Intell. Syst. Technol. Appl. 16(4): 319-341 (2017) - [c14]Simran Bajaj, Niharika Garg, Sandeep Kumar Singh
A Novel User-based Spam Review Detection. ITQM 2017: 1009-1015 - 2016
- [j5]Archana Purwar, Sandeep Kumar Singh
DBSCANI: Noise-Resistant Method for Missing Value Imputation. J. Intell. Syst. 25(3): 431-440 (2016) - 2015
- [j4]Archana Purwar, Sandeep Kumar Singh
Hybrid prediction model with missing value imputation for medical data. Expert Syst. Appl. 42(13): 5621-5631 (2015) - [c13]Sanjay Goel, Suma Dawn
Collaborative teaching in large classes of computer science courses. IC3 2015: 397-403 - [c12]Indu Chawla, Sandeep K. Singh
An Automated approach for Bug Categorization using Fuzzy Logic. ISEC 2015: 90-99 - 2014
- [c11]Indu Chawla, Sandeep K. Singh
Automatic bug labeling using semantic information from LSI. IC3 2014: 376-381 - [c10]Pradeep Sachdeva, Surbhi Verma, Sandeep Kumar Singh
An improved approach to word sense disambiguation. ISSPIT 2014: 235-240 - 2013
- [j3]Pooja Gupta, Sandeep K. Singh
An Improved Approach to Ranking Web Documents. J. Inf. Process. Syst. 9(2): 217-236 (2013) - [c9]Shubhansh Varshney, Niharika Jain, Sandeep K. Singh
SmartTouch: A cost-effective infrared based imaging touch screen. IC3 2013: 219-224 - [c8]Indu Chawla, Sandeep K. Singh
Performance evaluation of VSM and LSI models to determine bug reports similarity. IC3 2013: 375-380 - 2012
- [j2]Sandeep K. Singh
A Novel Approach for Deriving Test Scenarios and Test Cases from Events. J. Inf. Process. Syst. 8(2): 213-240 (2012) - 2011
- [j1]Sangeeta Sabharwal, Sandeep K. Singh
Deriving System Complexity Metric from Events and its Validation. Int. J. Softw. Eng. Knowl. Eng. 21(8): 1097-1121 (2011) - [c7]Swati Singhal, Atul Sunsunwal, Sandeep K. Singh
EBTCG: a tool for Event Based Test Case Generation. ISEC 2011: 119-122 - 2010
- [c6]Sandeep K. Singh
Event-Based Metric for Computing System Complexity. IC3 (2) 2010: 46-61 - [c5]Gaurav Bansal, Deepak Vijayvargiya, Siddhant Garg, Sandeep Kumar Singh
An Approach to Identify and Manage Interoperability of Class Diagrams in Visual Paradigm and MagicDraw Tools. IC3 (2) 2010: 142-154 - [c4]Shireesh Asthana, Saurabh Tripathi, Sandeep Kumar Singh
A Novel Approach to Generate Test Cases Using Class and Sequence Diagrams. IC3 (2) 2010: 155-167
2000 – 2009
- 2009
- [c3]Sandeep K. Singh
E-XTRACT: A Tool for Extraction, Analysis and Classification of Events from Textual Requirements. ARTCom 2009: 306-308 - [c2]Sandeep K. Singh
Events - An Alternative to Use Case as Starting Point in Object-Oriented Analysis. ICETET 2009: 1004-1010 - [c1]Sandeep K. Singh
Automatic Extraction of Events from Textual Requirements Specification. NaBIC 2009: 415-420
Coauthor Index
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last updated on 2024-12-10 21:40 CET by the dblp team
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