On the fast computation of orthogonal Fourier-Mellin moments with improved numerical stability. - Ekta Walia; Chandan Singh; Anjali Goyal (J. Real Time Image Process., 2012)

Gabor Wavelet Enabled Zernike Moments for Effective Content Based Image Retrieval. - Y. S. Brar; Ekta Walia; Anjali Goyal (ICIAR, 2013)

Variants of dense descriptors and Zernike moments as features for accurate shape-based image retrieval. - Anjali Goyal; Ekta Walia (Signal Image Video Process., 2014)

Zernike moments and LDP-weighted patches for content-based image retrieval. - Ekta Walia; Anjali Goyal; Y. S. Brar (Signal Image Video Process., 2014)

Visheshagya: Time based expertise model for bug report assignment. - Anjali Goyal; Devina Mohan; Neetu Sardana (IC3, 2016)

Analytical Study on Bug Triaging Practices. - Anjali Goyal; Neetu Sardana (Int. J. Open Source Softw. Process., 2016)

Effective bug triage for non reproducible bugs. - Anjali Goyal (ICSE (Companion Volume), 2017)

NRFixer: Sentiment Based Model for Predicting the Fixability of Non-Reproducible Bugs. - Anjali Goyal; Neetu Sardana (e Informatica Softw. Eng. J., 2017)

Machine Learning or Information Retrieval Techniques for Bug Triaging: Which is better? - Anjali Goyal; Neetu Sardana (e Informatica Softw. Eng. J., 2017)

Optimizing bug report assignment using multi criteria decision making technique. - Anjali Goyal; Neetu Sardana (Intell. Decis. Technol., 2017)

Characterization Study of Developers in Non-Reproducible Bugs. - Anjali Goyal; Neetu Sardana (IC3, 2018)

Improved universal quantitative steganalysis in spatial domain using ELM ensemble. - Shaveta Chutani; Anjali Goyal (Multim. Tools Appl., 2018)

Deep learning for conflicting statements detection in text. - Vijay Lingam; Simran Bhuria; Mayukh Nair; Divij Gurpreetsingh; Anjali Goyal; Ashish Sureka (PeerJ Prepr., 2018)

An empirical analysis of machine learning models for automated essay grading. - Deva Surya Vivek Madala; Ayushree Gangal; Shreyash Krishna; Anjali Goyal; Ashish Sureka (PeerJ Prepr., 2018)

Automatic email response suggestion for support departments within a university. - Aditya G. Parameswaran; Dibyendu Mishra; Sanchit Bansal; Vinayak Agarwal; Anjali Goyal; Ashish Sureka (PeerJ Prepr., 2018)

Empirical Analysis of Ensemble Machine Learning Techniques for Bug Triaging. - Anjali Goyal; Neetu Sardana (IC3, 2019)

Change-Proneness of Object-Oriented Software Using Combination of Feature Selection Techniques and Ensemble Learning Techniques. - Lov Kumar; Sangeeta Lal; Anjali Goyal; N. L. Bhanu Murthy (ISEC, 2019)

Study of Computerized Segmentation & Classification Techniques: An Application to Histopathological Imagery. - Pranshu Saxena; Anjali Goyal (Informatica (Slovenia), 2019)

A review of forensic approaches to digital image Steganalysis. - Shaveta Chutani; Anjali Goyal (Multim. Tools Appl., 2019)

An empirical study of non-reproducible bugs. - Anjali Goyal; Neetu Sardana (Int. J. Syst. Assur. Eng. Manag., 2019)

Predicting Ayurveda-Based Constituent Balancing in Human Body Using Machine Learning Methods. - Vishu Madaan; Anjali Goyal (IEEE Access, 2020)

Performance Analysis of Machine Learning Algorithms for Cervical Cancer Detection. - Sanjay Kumar Singh; Anjali Goyal (Int. J. Heal. Inf. Syst. Informatics, 2020)

Prediction of Video Game Development Problems Based on Postmortems using Different Word Embedding Techniques. - Anirudh A; Aman RAJ Singh; Anjali Goyal; Lov Kumar; N. L. Bhanu Murthy (ICON, 2021)

Predicting Software Defect Severity Level Using Deep-Learning Approach with Various Hidden Layers. - Lov Kumar; Triyasha Ghosh Dastidar; Anjali Goyal; Lalita Bhanu Murthy Neti; Sanjay Misra; Vipul Kocher; Srinivas Padmanabhuni (ICONIP (6), 2021)

An Integrated Approach using Developer Profiles with Temporal Dynamics for Assignee Recommendation in Non-Reproducible Bugs. - Anjali Goyal; Neetu Sardana (ICMLDE, 2023)

IMNRFixer: A hybrid approach to alleviate class-imbalance problem for predicting the fixability of Non-Reproducible bugs. - Anjali Goyal; Neetu Sardana (J. Softw. Evol. Process., 2023)

A Survey of Federated Learning for IoT: Addressing Resource Constraints and Heterogeneous Challenges. - Sristi Vashisth; Anjali Goyal (Informatica (Slovenia), 2025)