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ORCIDSantosh Singh Rathore
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- affiliation: Indian Institute of Technoogy Roorkee, India
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2020 – today
- 2024
[j27]Prutha Patani, Saurabh Tiwari, Santosh Singh Rathore
:
The impact of GitHub on students' learning and engagement in a software engineering course. Comput. Appl. Eng. Educ. 32(5) (2024)- [j26]Aman Omer, Santosh Singh Rathore, Sandeep Kumar:
ME-SFP: A Mixture-of-Experts-Based Approach for Software Fault Prediction. IEEE Trans. Reliab. 73(1): 710-725 (2024) - [c19]Anurag Yadav, Santosh Singh Rathore:
A Hierarchical Attention Networks based Model for Bug Report Prioritization. ISEC 2024: 12:1-12:5 - [c18]Santosh Singh Rathore, Saurabh Tiwari, Sheikh Umar Farooq:
Workshop Report on Emerging Software Engineering Education. ISEC 2024: 20:1-20:2 - 2023
- [j25]Lalit Purohit, Santosh Singh Rathore, Sandeep Kumar:
Feature selection and clustering based web service selection using QoSs. Appl. Intell. 53(11): 13352-13377 (2023) - [j24]Sanskar Soni, Satyendra Singh Chouhan, Santosh Singh Rathore:
TextConvoNet: a convolutional neural network based architecture for text classification. Appl. Intell. 53(11): 14249-14268 (2023) - [j23]Shadab Naseem, Santosh Singh Rathore, Sandeep Kumar, Sugata Gangopadhyay, Ankita Jain:
An approach to occluded face recognition based on dynamic image-to-class warping using structural similarity index. Appl. Intell. 53(23): 28501-28519 (2023) - [j22]Swarup Padhy, Santosh Singh Rathore:
An attention-based deep learning model for credibility assessment of online health information. Comput. Intell. 39(5): 832-859 (2023) - [j21]Jitendra Parmar, Satyendra Singh Chouhan, Vaskar Raychoudhury, Santosh Singh Rathore:
Open-world Machine Learning: Applications, Challenges, and Opportunities. ACM Comput. Surv. 55(10): 205:1-205:37 (2023) - [j20]Srividya Bhaskara, Santosh Singh Rathore:
Causal effect analysis-based intrusion detection system for IoT applications. Int. J. Inf. Sec. 22(4): 931-946 (2023) - [j19]Aditya Shankar Mishra, Santosh Singh Rathore:
Implicit and explicit mixture of experts models for software defect prediction. Softw. Qual. J. 31(4): 1331-1368 (2023) - [j18]Lalit Purohit, Santosh Singh Rathore, Sandeep Kumar:
A QoS-Aware Clustering Based Multi-Layer Model for Web Service Selection. IEEE Trans. Serv. Comput. 16(5): 3141-3154 (2023) - [c17]Abhishek Pratap Singh, Debanjan Sadhya, Santosh Singh Rathore:
Fast Similarity Search in Large-Scale Iris Databases Using High-Dimensional Hashing. BDA 2023: 187-200 - [c16]Saurabh Tiwari, Sheikh Umar Farooq, Santosh Singh Rathore:
A Report on the Fifth Workshop on Emerging Software Engineering Education (WESEE 2023). ISEC 2023: 28:1-28:2 - 2022
- [j17]Saurabh Tiwari, Santosh Singh Rathore:
Understanding general concepts of requirements engineering through design thinking: An experimental study with students. Comput. Appl. Eng. Educ. 30(6): 1683-1700 (2022) - [j16]Debanjan Sadhya, Santosh Singh Rathore, Amitesh Singh Rajput, Abhinav Anand:
Securing multimedia videos using space-filling curves. Multim. Tools Appl. 81(27): 38685-38704 (2022) - [j15]Nalin Singh, Santosh Singh Rathore, Sandeep Kumar:
Towards a super-resolution based approach for improved face recognition in low resolution environment. Multim. Tools Appl. 81(27): 38887-38919 (2022) - [j14]Rohit Singh, Santosh Singh Rathore:
Linear and non-linear bayesian regression methods for software fault prediction. Int. J. Syst. Assur. Eng. Manag. 13(4): 1864-1884 (2022) - [j13]Surendra Singh Gangwar, Santosh Singh Rathore, Satyendra Singh Chouhan, Sanskar Soni:
Predictive modeling for suspicious content identification on Twitter. Soc. Netw. Anal. Min. 12(1): 149 (2022) - [j12]Santosh Singh Rathore, Satyendra Singh Chouhan, Dixit Kumar Jain, Aakash Gopal Vachhani:
Generative Oversampling Methods for Handling Imbalanced Data in Software Fault Prediction. IEEE Trans. Reliab. 71(2): 747-762 (2022) - [c15]Ashutosh Kumar, Santosh Singh Rathore:
A Deep Learning Based Approach to Automate Clinical Coding of Electronic Health Records. BDA 2022: 104-116 - [c14]Saurabh Tiwari, Santosh Singh Rathore, Sheikh Umar Farooq, Prutha Patani:
How Students Are Using GitHub? A Survey. ISEC 2022: 26:1-26:5 - [i3]Sanskar Soni, Satyendra Singh Chouhan, Santosh Singh Rathore:
TextConvoNet: A Convolutional Neural Network based Architecture for Text Classification. CoRR abs/2203.05173 (2022) - 2021
- [j11]Santosh Singh Rathore, Sandeep Kumar:
An empirical study of ensemble techniques for software fault prediction. Appl. Intell. 51(6): 3615-3644 (2021) - [j10]Santosh Singh Rathore, Sandeep Kumar:
Software fault prediction based on the dynamic selection of learning technique: findings from the eclipse project study. Appl. Intell. 51(12): 8945-8960 (2021) - [j9]Santosh Singh Rathore:
An exploratory analysis of regression methods for predicting faults in software systems. Soft Comput. 25(23): 14841-14872 (2021) - [j8]Satyendra Singh Chouhan, Santosh Singh Rathore:
Generative Adversarial Networks-Based Imbalance Learning in Software Aging-Related Bug Prediction. IEEE Trans. Reliab. 70(2): 626-642 (2021) - [c13]Saurabh Tiwari, Sheikh Umar Farooq, Santosh Singh Rathore:
A Report on the Fourth Workshop on Emerging Software Engineering Education (WESEE 2021). ISEC 2021: 26:1-26:2 - [e1]Bimlesh Wadhwa, Shailey Chawla, Benjamin Gan, Eng Lieh Ouh, Pornsiri Muenchaisri, Saurabh Tiwari, Santosh Singh Rathore:
Joint Proceedings of SEED & NLPaSE co-located with 27th Asia Pacific Software Engineering Conference 2020, Singapore [Virtual], December 1, 2020. CEUR Workshop Proceedings 2799, CEUR-WS.org 2021 [contents] - [i2]Jitendra Parmar, Satyendra Singh Chouhan, Santosh Singh Rathore:
Open-world Machine Learning: Applications, Challenges, and Opportunities. CoRR abs/2105.13448 (2021) - 2020
- [c12]Saurabh Tiwari, Santosh Singh Rathore, Lata Nautiyal, Ravindra Singh:
A Report on the First Workshop on Natural Language Processing Advancements for Software Engineering (NLPaSE) co-located with APSEC 2020 (short paper). SEED/NLPaSE@APSEC 2020: 38-42 - [c11]Shubham Yadav, Santosh Singh Rathore, Satyendra Singh Chouhan:
Authorship Identification Using Stylometry and Document Fingerprinting. BDA 2020: 278-288 - [c10]Saurabh Tiwari, Sheikh Umar Farooq, Paramvir Singh, Santosh Singh Rathore:
A Report on the Third Workshop on Emerging Software Engineering Education (WESEE 2020). ISEC 2020: 20:1-20:2 - [c9]Saurabh Tiwari, Santosh Singh Rathore, Shreya Sagar, Yash Mirani:
Identifying Use Case Elements from Textual Specification: A Preliminary Study. RE 2020: 410-411
2010 – 2019
- 2019
- [b2]Santosh Singh Rathore, Sandeep Kumar:
Fault Prediction Modeling for the Prediction of Number of Software Faults. Springer Briefs in Computer Science, Springer 2019, ISBN 978-981-13-7130-1, pp. 1-73 - [j7]Santosh Singh Rathore, Sandeep Kumar:
A study on software fault prediction techniques. Artif. Intell. Rev. 51(2): 255-327 (2019) - [j6]Santosh Singh Rathore, Sandeep Kumar:
An Approach for the Prediction of Number of Software Faults Based on the Dynamic Selection of Learning Techniques. IEEE Trans. Reliab. 68(1): 216-236 (2019) - [c8]Saurabh Tiwari, Santosh Singh Rathore:
Teaching Software Process Models to Software Engineering Students: An Exploratory Study. APSEC 2019: 308-315 - 2018
- [b1]Sandeep Kumar, Santosh Singh Rathore:
Software Fault Prediction - A Road Map. Springer Briefs in Computer Science, Springer 2018, ISBN 978-981-10-8714-1, pp. 1-68 - [c7]Saurabh Tiwari, Santosh Singh Rathore:
Coupling and Cohesion Metrics for Object-Oriented Software: A Systematic Mapping Study. ISEC 2018: 8:1-8:11 - 2017
- [j5]Santosh Singh Rathore, Sandeep Kumar:
A decision tree logic based recommendation system to select software fault prediction techniques. Computing 99(3): 255-285 (2017) - [j4]Santosh Singh Rathore, Sandeep Kumar:
Towards an ensemble based system for predicting the number of software faults. Expert Syst. Appl. 82: 357-382 (2017) - [j3]Santosh Singh Rathore, Sandeep Kumar:
Linear and non-linear heterogeneous ensemble methods to predict the number of faults in software systems. Knowl. Based Syst. 119: 232-256 (2017) - [j2]Santosh Singh Rathore, Sandeep Kumar:
An empirical study of some software fault prediction techniques for the number of faults prediction. Soft Comput. 21(24): 7417-7434 (2017) - [i1]Saurabh Tiwari, Santosh Singh Rathore:
A Methodology for the Selection of Requirement Elicitation Techniques. CoRR abs/1709.08481 (2017) - 2016
- [j1]Santosh Singh Rathore, Sandeep Kumar:
A Decision Tree Regression based Approach for the Number of Software Faults Prediction. ACM SIGSOFT Softw. Eng. Notes 41(1): 1-6 (2016) - [c6]Santosh Singh Rathore, Sandeep Kumar:
Ensemble methods for the prediction of number of faults: A study on eclipse project. ICIIS 2016: 540-545 - 2015
- [c5]Santosh Singh Rathore, Sandeep Kumar:
Predicting Number of Faults in Software System using Genetic Programming. SCSE 2015: 303-311 - 2014
- [c4]Santosh Singh Rathore, Atul Gupta:
A comparative study of feature-ranking and feature-subset selection techniques for improved fault prediction. ISEC 2014: 7:1-7:10 - 2012
- [c3]Saurabh Tiwari, Santosh Singh Rathore, Abhijeet Singh, Abhinav Singh, Atul Gupta:
An Approach to Generate Actor-Oriented Activity Charts from Use Case Requirements. APSEC 2012: 270-275 - [c2]Santosh Singh Rathore, Atul Gupta:
Validating the Effectiveness of Object-Oriented Metrics over Multiple Releases for Predicting Fault Proneness. APSEC 2012: 350-355 - [c1]Saurabh Tiwari, Santosh Singh Rathore, Sudhanshu Gupta, Gogate Vaibhav Vinayak, Atul Gupta:
Analysis of Use Case Requirements Using SFTA and SFMEA Techniques. ICECCS 2012: 29-38
Coauthor Index
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last updated on 2024-10-04 21:00 CEST by the dblp team
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