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2020 – today
- 2023
[c28]Smriti Saini
, Yogesh Singh, Vineet Vashista:
A Novel Virtual Reality Paradigm to Assess Gait Response to Visuospatial Perturbation during Walking. AIR 2023: 40:1-40:7- [c27]Arushi Khokhar, Yogesh Singh, Vineet Vashista:
Markerless Gait Characterization Using Single Video Camera Setup. AIR 2023: 46:1-46:6 - [i1]M. Yashwanth, Gaurav Kumar Nayak, Arya Singh, Yogesh Singh, Anirban Chakraborty:
Federated Learning on Heterogeneous Data via Adaptive Self-Distillation. CoRR abs/2305.19600 (2023) - 2022
- [j64]Chinmay Jategaonkar, Yogesh Singh, Vineet Vashista:
Effect of External Damping on Ankle Motion During the Swing Phase of Walking. IEEE Robotics Autom. Lett. 7(3): 7612-7619 (2022) - [j63]Yogesh Singh, Sunil K. Agrawal, Vineet Vashista:
Throwing Strategy in a Dual-Motor-Task of Aiming at the Bullseye While Walking in Virtual Reality. IEEE Robotics Autom. Lett. 7(4): 9091-9098 (2022) - [c26]Chinmay Jategaonkar, Yogesh Singh, Vineet Vashista:
Effect of external damping on ankle motion during the swing phase of walking. BioRob 2022: 1-8 - [c25]Yogesh Singh, Sunil K. Agrawal, Vineet Vashista:
Throwing Strategy in a Dual-Motor-Task of Aiming at the Bullseye while Walking in Virtual Reality. BioRob 2022: 1-8 - 2021
- [c24]Vineet Vashista, Yogesh Singh:
Single-Joint Angle Computation using Inertial Sensors with Feedback on Smartphone. AIR 2021: 30:1-30:6 - 2020
- [c23]Yogesh Singh, Vinayvivian Rodrigues, Antonio Prado, Sunil K. Agrawal, Vineet Vashista:
Lower-Limb Strategy Assessment during a Virtual Reality based Dual-Motor-Task. BioRob 2020: 252-257
2010 – 2019
- 2019
- [c22]S. Srikesh Iyer, Joel V. Joseph, N. S. S. Sanjeevi, Yogesh Singh, Vineet Vashista:
Development and Applicability of a Cable-driven Wearable Adaptive Rehabilitation Suit (WeARS). RO-MAN 2019: 1-6 - [c21]Yogesh Singh, Manan Kher, Vineet Vashista:
Intention Detection and Gait Recognition (IDGR) System for Gait Assessment: A Pilot Study. RO-MAN 2019: 1-6 - 2018
- [j62]Jayant Kumar Mohanta, Yogesh Singh, Santhakumar Mohan:
Kinematic and dynamic performance investigations of asymmetric (U-shape fixed base) planar parallel manipulators. Robotica 36(8): 1111-1143 (2018) - [c20]Ayan Kumar Bhowmick, G. Sai Bharath Chandra, Yogesh Singh, Bivas Mitra:
Constructing Influence Trees from Temporal Sequence of Retweets: An Analytical Approach. IEEE BigData 2018: 624-633 - 2017
- [j61]Rinkaj Goyal, Pravin Chandra, Yogesh Singh:
Fuzzy inferencing to identify degree of interaction in the development of fault prediction models. J. King Saud Univ. Comput. Inf. Sci. 29(1): 93-102 (2017) - [c19]Yogesh Singh, Santhakumar Mohan:
Development of a Planar 3PRP Parallel Manipulator using Shape Memory Alloy Spring based Actuators. AIR 2017: 10:1-10:6 - 2016
- [j60]Yogesh Singh, Mohan Santhakumar:
Performance investigations on optimum mechanical design aspects of planar parallel manipulators. Adv. Robotics 30(10): 652-675 (2016) - [j59]Manoj Kumar, Anjana Gosain, Yogesh Singh:
A novel requirements engineering approach for designing data warehouses. Int. J. Syst. Assur. Eng. Manag. 7(1s): 205-221 (2016) - 2015
- [j58]Pravin Chandra, R. K. Singh, Yogesh Singh:
Review and extension of fault class hierarchy for testing Boolean specification. Int. J. Comput. Appl. Technol. 52(1): 29-38 (2015) - [j57]Yogesh Singh:
Automated Expected Output Generation: Is this a Problem that has been solved? ACM SIGSOFT Softw. Eng. Notes 40(6): 1-5 (2015) - [c18]Santhakumar Mohan, Jinwhan Kim, Yogesh Singh:
A robust task space position tracking control of an underwater vehicle manipulator system. AIR 2015: 2:1-2:6 - [c17]Yogesh Singh, Mohan Santhakumar:
Comparative kinematic and dynamic performance analysis of planar parallel manipulators. AIR 2015: 5:1-5:6 - 2014
- [j56]Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
A comparative study of models for predicting fault proneness in object-oriented systems. Int. J. Comput. Appl. Technol. 49(1): 22-41 (2014) - [j55]Manoj Kumar, Anjana Gosain, Yogesh Singh:
Empirical validation of structural metrics for predicting understandability of conceptual schemas for data warehouse. Int. J. Syst. Assur. Eng. Manag. 5(3): 291-306 (2014) - [j54]Rinkaj Goyal, Pravin Chandra, Yogesh Singh:
Why interaction between metrics should be considered in the development of software quality models: a preliminary study. ACM SIGSOFT Softw. Eng. Notes 39(4): 1-4 (2014) - [c16]Ruchika Malhotra, Nakul Pritam, Yogesh Singh:
On the applicability of evolutionary computation for software defect prediction. ICACCI 2014: 2249-2257 - 2013
- [j53]Pradeep Kumar, Yogesh Singh:
A study on software reliability prediction models using soft computing techniques. Int. J. Inf. Commun. Technol. 5(2): 187-204 (2013) - [j52]Pradeep Kumar, Yogesh Singh:
Comparative analysis of software reliability predictions using statistical and machine learning methods. Int. J. Intell. Syst. Technol. Appl. 12(3/4): 230-253 (2013) - 2012
- [j51]Yogesh Singh, Anju Saha:
Prediction of testability using the design metrics for object-oriented software. Int. J. Comput. Appl. Technol. 44(1): 12-22 (2012) - [j50]Yogesh Singh, Arvinder Kaur, Bharti Suri, Shweta Singhal:
Systematic Literature Review on Regression Test Prioritization Techniques. Informatica (Slovenia) 36(4): 379-408 (2012) - [j49]Pradeep Kumar, Yogesh Singh:
An empirical study of software reliability prediction using machine learning techniques. Int. J. Syst. Assur. Eng. Manag. 3(3): 194-208 (2012) - [j48]Pradeep Kumar, Yogesh Singh:
Assessment of software testing time using soft computing techniques. ACM SIGSOFT Softw. Eng. Notes 37(1): 1-6 (2012) - 2011
- [j47]Yogesh Singh, Pradeep Kumar Bhatia, Omprakash Sangwan:
Software reusability assessment using soft computing techniques. ACM SIGSOFT Softw. Eng. Notes 36(1): 1-7 (2011) - [j46]Manoj Kumar, Anjana Gosain, Yogesh Singh:
Quality-oriented requirements engineering for a data warehouse. ACM SIGSOFT Softw. Eng. Notes 36(5): 1-4 (2011) - [j45]Omprakash Sangwan, Pradeep Kumar Bhatia, Yogesh Singh:
Radial basis function neural network based approach to test oracle. ACM SIGSOFT Softw. Eng. Notes 36(5): 1-5 (2011) - 2010
- [j44]Yogesh Singh, Arvinder Kaur, Pradeep Kumar Bhatia, Omprakash Sangwan:
Predicting Software Development Effort Using Artificial Neural Network. Int. J. Softw. Eng. Knowl. Eng. 20(3): 367-375 (2010) - [j43]Yogesh Singh, Arvinder Kaur, Bharti Suri:
A Hybrid Approach for Regression Testing in Interprocedural Program. J. Inf. Process. Syst. 6(1): 21-32 (2010) - [j42]Ruchika Malhotra, Arvinder Kaur, Yogesh Singh:
A Regression Test Selection and Prioritization Technique. J. Inf. Process. Syst. 6(2): 235-252 (2010) - [j41]Manoj Kumar, Anjana Gosain, Yogesh Singh:
Stakeholders Driven Requirements Engineering Approach for Data Warehouse Development. J. Inf. Process. Syst. 6(3): 385-402 (2010) - [j40]Maneesha Srivasatav, Yogesh Singh, Durg Singh Chauhan:
An Optimized Approach of Fault Distribution for Debugging in Parallel. J. Inf. Process. Syst. 6(4): 537-552 (2010) - [j39]Chetna Gupta, Yogesh Singh, Durg Singh Chauhan:
A Dynamic Approach to Estimate Change Impact using Type of Change Propagation. J. Inf. Process. Syst. 6(4): 597-608 (2010) - [j38]Ruchika Malhotra, Arvinder Kaur, Yogesh Singh:
Empirical validation of object-oriented metrics for predicting fault proneness at different severity levels using support vector machines. Int. J. Syst. Assur. Eng. Manag. 1(3): 269-281 (2010) - [j37]Yogesh Singh, Anju Saha:
Improving the testability of object oriented software through software contracts. ACM SIGSOFT Softw. Eng. Notes 35(1): 1-4 (2010) - [j36]Yogesh Singh, Arvinder Kaur, Bharti Suri:
Test case prioritization using ant colony optimization. ACM SIGSOFT Softw. Eng. Notes 35(4): 1-7 (2010) - [j35]Yogesh Singh, Pradeep Kumar:
Application of feed-forward neural networks for software reliability prediction. ACM SIGSOFT Softw. Eng. Notes 35(5): 1-6 (2010) - [j34]Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Empirical validation of object-oriented metrics for predicting fault proneness models. Softw. Qual. J. 18(1): 3-35 (2010)
2000 – 2009
- 2009
- [j33]Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Comparative analysis of regression and machine learning methods for predicting fault proneness models. Int. J. Comput. Appl. Technol. 35(2/3/4): 183-193 (2009) - [j32]Yogesh Singh, Arvinder Kaur, Bharti Suri:
Empirical Validation of Variable based Test Case Prioritization/Selection Technique. J. Digit. Content Technol. its Appl. 3(3): 116-123 (2009) - [j31]Chetna Gupta, Yogesh Singh, Durg Singh Chauhan:
An Efficient Dynamic Impact Analysis using Definition and Usage Information. J. Digit. Content Technol. its Appl. 3(4): 112-115 (2009) - [j30]Yogesh Singh, Pradeep Kumar Bhatia, Omprakash Sangwan:
ANN model for predicting software function point metric. ACM SIGSOFT Softw. Eng. Notes 34(1): 1-4 (2009) - [j29]Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Application of support vector machine to predict fault prone classes. ACM SIGSOFT Softw. Eng. Notes 34(1): 1-6 (2009) - [j28]Yogesh Singh, Pradeep Kumar Bhatia, Omprakash Sangwan:
Predicting software maintenance using fuzzy model. ACM SIGSOFT Softw. Eng. Notes 34(4): 1-6 (2009) - [j27]Manoj Kumar, Anjana Gosain, Yogesh Singh:
Agent oriented requirements engineering for a data warehouse. ACM SIGSOFT Softw. Eng. Notes 34(5): 1-4 (2009) - [j26]K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Empirical analysis for investigating the effect of object-oriented metrics on fault proneness: a replicated case study. Softw. Process. Improv. Pract. 14(1): 39-62 (2009) - [c15]Yogesh Singh, Pradeep Kumar Bhatia, Arvinder Kaur, Omprakash Sangwan:
Application of Neural Networks in Software Engineering: A Review. ICISTM 2009: 128-137 - [c14]Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Comparative Analysis of Decision Trees with Logistic Regression in Predicting Fault-Prone Classes. ICISTM 2009: 337-338 - [c13]Yogesh Singh, Anjana Gosain, Manoj Kumar:
From Early Requirements to Late Requirements Modeling for a Data Warehouse. NCM 2009: 798-804 - [c12]Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Prediction of Software Quality Model Using Gene Expression Programming. PROFES 2009: 43-58 - 2008
- [c11]Yogesh Singh, Anju Saha:
Enhancing Data Flow Testing of Classes through Design by Contract. ACIS-ICIS 2008: 567-574 - [c10]Yogesh Singh, Anjana Gosain, Manoj Kumar:
Evaluation of Agent Oriented Requirements Engineering Frameworks. CSSE (2) 2008: 33-38 - [c9]Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Predicting Software Fault Proneness Model Using Neural Network. PROFES 2008: 204-214 - [c8]Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Predicting Software Fault Proneness Model Using Neural Network. XP 2008: 215-217 - [c7]Yogesh Singh, Anju Saha:
A Metric-Based Approach to Assess Class Testability. XP 2008: 224-225 - [p2]Bindu Goel, Yogesh Singh:
Empirical Investigation of Metrics for Fault Prediction on Object-Oriented Software. Computer and Information Science 2008: 255-265 - [p1]Yogesh Singh, Arvinder Kaur, Bharti Suri:
An Empirical Study of Product Metrics in Software Testing. Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education 2008: 64-72 - 2007
- [j25]K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Software Design Metrics for Object-Oriented Software. J. Object Technol. 6(1): 121-138 (2007) - [j24]K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Investigating effect of Design Metrics on Fault Proneness in Object-Oriented Systems. J. Object Technol. 6(10): 127-141 (2007) - [j23]Yogesh Singh, Bindu Goel:
A step towards software preventive maintenance. ACM SIGSOFT Softw. Eng. Notes 32(4) (2007) - [c6]Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Application of Logistic Regression and Artificial Neural Network for Predicting Software Quality Models. Software Engineering Research and Practice 2007: 664-670 - 2006
- [j22]K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Empirical Study of Object-Oriented Metrics. J. Object Technol. 5(8): 149-173 (2006) - [j21]R. K. Singh, Pravin Chandra, Yogesh Singh:
An evaluation of Boolean expression testing techniques. ACM SIGSOFT Softw. Eng. Notes 31(5): 1-6 (2006) - [c5]Pradeep Kumar Bhatia, Yogesh Singh:
Quantification Criteria for Optimization of Modules in OO Design. Software Engineering Research and Practice 2006: 972-979 - 2005
- [j20]K. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala Puri:
Evaluation of various training algorithms in a neural network model for software engineering applications. ACM SIGSOFT Softw. Eng. Notes 30(4): 1-4 (2005) - [j19]K. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala Puri:
Sensitivity analysis of fuzzy and neural network models. ACM SIGSOFT Softw. Eng. Notes 30(4): 1-4 (2005) - [j18]K. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala Puri:
An expert committee model to estimate lines of code. ACM SIGSOFT Softw. Eng. Notes 30(5): 1-4 (2005) - [c4]K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra:
Software Reuse Metrics for Object-Oriented Systems. SERA 2005: 48-55 - 2004
- [j17]Pravin Chandra, Yogesh Singh:
A case for the self-adaptation of activation functions in FFANNs. Neurocomputing 56: 447-454 (2004) - [j16]Chandra Shekhar Rai, Yogesh Singh:
Source distribution models for blind source separation. Neurocomputing 57: 501-505 (2004) - [j15]Pravin Chandra, Yogesh Singh:
An activation function adapting training algorithm for sigmoidal feedforward networks. Neurocomputing 61: 429-437 (2004) - [j14]Jitender Kumar Chhabra, K. K. Aggarwal, Yogesh Singh:
Measurement of object-oriented software spatial complexity. Inf. Softw. Technol. 46(10): 689-699 (2004) - [j13]K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Omprakash Sangwan:
A neural net based approach to Test Oracle. ACM SIGSOFT Softw. Eng. Notes 29(3): 1-6 (2004) - [j12]K. K. Aggarwal, Yogesh Singh, Arvinder Kaur:
Code coverage based technique for prioritizing test cases for regression testing. ACM SIGSOFT Softw. Eng. Notes 29(5): 1-4 (2004) - [j11]Pravin Chandra, Yogesh Singh:
Feedforward sigmoidal networks - equicontinuity and fault-tolerance properties. IEEE Trans. Neural Networks 15(6): 1350-1366 (2004) - [c3]Manu Sood, Sangeeta Sabharwal, Yogesh Singh:
A Step towards the Requirements Model Metric Suite. CCCT (2) 2004: 49-54 - [c2]Naveen Prakash, Yogesh Singh, Anjana Gosain:
Informational Scenarios for Data Warehouse Requirements Elicitation. ER 2004: 205-216 - [c1]Yogesh Singh, Bindu Goel, Pravin Chandra:
A model for corrective maintenance time prediction using neural network. IASTED Conf. on Software Engineering and Applications 2004: 216-221 - 2003
- [j10]Jitender Kumar Chhabra, K. K. Aggarwal, Yogesh Singh:
Code and data spatial complexity: two important software understandability measures. Inf. Softw. Technol. 45(8): 539-546 (2003) - [j9]Yogesh Singh, Chandra Shekhar Rai:
A simplified approach to independent component analysis. Neural Comput. Appl. 12(3-4): 173-177 (2003) - [j8]K. K. Aggarwal, Yogesh Singh, Jitender Kumar Chhabra:
A dynamic software metric and debugging tool. ACM SIGSOFT Softw. Eng. Notes 28(2): 1 (2003) - 2002
- [j7]Yogesh Singh, Chandra Shekhar Rai:
Blind source separation: a unified approach. Neurocomputing 49(1-4): 435-438 (2002) - [j6]K. K. Aggarwal, Yogesh Singh, Jitender Kumar Chhabra:
Computing program weakness using module coupling. ACM SIGSOFT Softw. Eng. Notes 27(1): 63-65 (2002) - 2000
- [j5]Anu Singh Lather, Shakti Kumar, Yogesh Singh:
Suitability assessment of software developers: a fuzzy approach. ACM SIGSOFT Softw. Eng. Notes 25(3): 30-31 (2000)
1990 – 1999
- 1998
- [j4]Yogesh Singh, Pradeep Kumar Bhatia:
Module weakness: a new measure. ACM SIGSOFT Softw. Eng. Notes 23(4): 82 (1998) - [j3]Yogesh Singh, Pradeep Kumar Bhatia:
Module weakness: a new measure. ACM SIGSOFT Softw. Eng. Notes 23(5): 81 (1998) - 1995
- [j2]K. K. Aggarwal, Yogesh Singh:
Software reliability apportionment using the analytic hierarchy process. ACM SIGSOFT Softw. Eng. Notes 20(5): 56-61 (1995) - 1994
- [j1]K. K. Aggarwal, Yogesh Singh:
A modified form of software science measures. ACM SIGSOFT Softw. Eng. Notes 19(3): 48-50 (1994)
Coauthor Index
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