Conference/Journal

• Shruti Bajpai, Amrita Chaturvedi: Towards Detecting Rumor Initiator in Online Social Networks using Ontology Driven Model. In: Arabian Journal for Science and Engineering (Springer Nature) (2024). doi: https://doi.org/10.1007/s13369-024-08852-7 

• Shruti Bajpai, Amrita Chaturvedi: A multi-criteria decision making based integrated approach for rumor prevention in social networks. In: Multimedia Tools and Applications (Springer Nature) (2024). doi: https://doi.org/10.1007/s11042-024-18419-1 

• Shashank Kumar Singh, Amrita Chaturvedi: Leveraging handwriting dynamics, explainable AI and Machine learning for Alzheimer prediction. In: The 6th International Conference on Computational Intelligence in Communications, and Business Analytics (CICBA 2024), NIT Patna, India, Communications in Computer and Information Science (CCIS), Springer. (January 2024)

• Purushottam Tiwari, Zope Sumedh Murlidhar, Amrita Chaturvedi, Shashank Kumar Singh: Ensemble Models for Vulnerability Prediction using code metrics. In: The 8th International Conference on Soft Computing: Theories and Applications (SoCTA 2023) (Springer), Lecture Notes in Networks and Systems (LNNS), IIIT Una, India. (December 2023) (accepted)

• Rakesh Kumar, Amrita Chaturvedi: Software Bug Prediction using Reward-Based Weighted Majority Voting Ensemble Technique. In: IEEE Transactions on Reliability, vol. 73, no. 1, pp. 726-740 (2023).

• Rakesh Kumar, Amrita Chaturvedi: Software Bug Count Prediction Model Based on Software Source Code. In: The 14th International Conference on Computing, Communication and Networking Technologies (ICCCNT 2023) (IEEE), IIT Delhi, India (6-8 July 2023). (accepted)

• Shashank Kumar Singh, Amrita Chaturvedi: A reliable and efficient machine learning pipeline for american sign language gesture recognition using EMG sensors. In: Multimedia Tools and Applications, 82, 23833–23871 (Springer Nature) (2023).

• Vaibhav Padhye, Kailasam Lakshmanan, Amrita Chaturvedi: Proximal policy optimization based hybrid recommender systems for large scale recommendations. In: Multimedia Tools and Applications, 82, 20079–20100 (Springer Nature) (2023).

• Shashank Kumar Singh, Amrita Chaturvedi: Leveraging deep feature learning for wearable sensors based handwritten character recognition. In: Biomedical Signal Processing and Control (Elsevier), Vol. 80, Part 1, 104198, (2023). 

• Shashank Kumar Singh, Amrita Chaturvedi: Applying Machine Learning for American Sign Language Recognition: A brief survey. In: The 4th International Conference on Communication and Intelligent Systems (ICCIS 2022) (Springer), NIT Delhi, India, Lecture Notes in Networks and Systems (LNNS), Springer, Vol 689, pp 297-309. (December 2022)

• Rakesh Kumar, Amrita Chaturvedi: A Framework for Software Defect Prediction Using Optimal Hyper-parameters of Deep Neural Network. In: The 29th International Conference on Neural Information Processing (ICONIP 2022), IIT Indore, India, Communications in Computer and Information Science (CCIS), Springer, Vol 1794, pp 163-174. (November 2022)

• Pankaj Kumar Jha, Anurag Tiwari, Amrita Chaturvedi: A Multiclass EEG Signal Classification Model using Channel Interaction Maximization and Multivariate Empirical Mode Decomposition. In: The 29th International Conference on Neural Information Processing (ICONIP 2022), IIT Indore, India, Lecture Notes in Computer Science (LNCS), Springer, Vol 13624, pp 86-100. (November 2022) 

• Supriya Shakya, Arnab Mukherjee, Raju Halder, Abyayananda Maiti, Amrita Chaturvedi: SmartMixModel: Machine Learning-based Vulnerability Detection of Solidity Smart Contracts. In: IEEE International Conference on Blockchain (Blockchain), Espoo, Finland. (August 2022) pp. 37-44, doi: 10.1109/Blockchain55522.2022.00016.

• Anurag Tiwari, Amrita Chaturvedi: Automatic Channel Selection using Multi-objective X-shaped Binary Butterfly algorithm for Motor Imagery Classification. In: Expert Systems With Applications (Elsevier), Vol 206, 117757, (2022). 

• Dipty Tripathi, Amit Biswas, Anil Kumar Tripathi, Lalit Kumar Singh, Amrita Chaturvedi: An Integrated Approach of Designing Functionality with Security for Distributed Cyber-Physical Systems. In: The Journal of Supercomputing (Springer Nature) (2022). https://doi.org/10.1007/s11227-022-04481-9 

• Anurag Tiwari, Amrita Chaturvedi: Automatic EEG channel selection for multiclass brain-computer interface classification using multiobjective improved firefly algorithm. In: Multimedia Tools and Applications (Springer Nature), Vol 82, No. 4, pp 5405–5433  (2022). 

• Rakesh Kumar, Amrita Chaturvedi, Lakshmanan Kailasam: An Unsupervised Software Fault Prediction Approach Using Threshold Derivation. In: IEEE Transactions on Reliability, Vol. 71, No.2, pp 911 – 932. (2022), doi: 10.1109/TR.2022.3151125.

• Anurag Tiwari, Amrita Chaturvedi: A Hybrid Feature Selection Approach based on Information Theory and Dynamic Butterfly Optimization Algorithm for Data Classification. In: Expert Systems with Applications (Elsevier), Vol. 196, 116621 (2022).

• Dipty Tripathi, Lalit Kumar Singh, A. K. Tripathi, Amrita Chaturvedi: Towards Analyzing the Impact of Intrusion Prevention and Response on Cyber-Physical System Availability: A case study of NPP. In: Annals of Nuclear Energy (Elsevier), Vol.168. (2022) 108863. 

• Anurag Tiwari, Amrita Chaturvedi: A Novel Channel Selection Method for BCI Classification Using Dynamic Channel Relevance. In: IEEE Access, Vol. 9. (September 2021) 126698-126716, doi: 10.1109/ACCESS.2021.3110882. 

• Devesh Manjhi, Amrita Chaturvedi: Reuse Estimate and Interval Prediction using MOGA-NN and RBF-NN in the Functional Paradigm. In: Science of Computer Programming (Elsevier), Volume 208. (August 2021) 24 pages. 

• Dipty Tripathi, Lalit Kumar Singh, A. K. Tripathi, Amrita Chaturvedi: Model based security verification of Cyber-Physical System based on Petrinet: A case study of Nuclear power plant. In: Annals of Nuclear Energy (Elsevier), Vol. 159. (September 2021) 108306. 

• Rakesh Kumar, Amrita Chaturvedi: Software Fault Prediction using Data Mining Techniques on Software Metrics. In: International Conference on Machine Learning and Big Data Analytics (ICMLBDA), Indian Institute of Technology, Patna, India, Lecture Notes in Networks and Systems, vol 256., SPRINGER AISC Series, pp 304 - 313. (March 2021)  

• Shashank Kumar Singh, Amrita Chaturvedi, Alok Prakash:  Applying Extreme Gradient Boosting for Surface EMG based Sign Language recognition. In: International Conference on Machine Learning and Big Data Analytics (ICMLBDA), Indian Institute of Technology, Patna, India, Lecture Notes in Networks and Systems, vol 256., SPRINGER AISC Series, pp 175 - 185. (March 2021) 

• Shashank Kumar Singh, Amrita Chaturvedi: Applying Deep Learning for discovery and analysis of software vulnerabilities: A brief survey. In: International Conference on Soft Computing: Theories and Applications (SoCTA 2019), NIT Patna, India, Advances in Intelligent Systems and Computing (AISC), Springer, Vol 1154, pp 649 - 658. (December 2019) (Best Student Paper Award)

• Anurag Tiwari, Amrita Chaturvedi: A Multiclass EEG Signal Classification Model using Spatial Feature Extraction and XGBoost Algorithm. In: 32nd IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), Macau, China. (November 2019) pp. 4169-4175, doi: 10.1109/IROS40897.2019.8967868.  

• Shruti Bajpai, Amrita Chaturvedi: Ontology Driven Framework to Automatically Generate University Time Table. In: International Conference on Communication and Intelligent Systems (ICCIS 2019), Jaipur, India, Lecture Notes in Networks and Systems, Springer, Vol 120, pp 77 - 87. (November 2019) 

• Luca Saba, Anurag Tiwari, Mainak Biwas, Suneet K. Gupta, Elisa Godia – Cuadrado, Amrita Chaturvedi et al: Wilson’s disease: A new perspective review on its genetics, diagnosis and treatment. In: Frontiers of Bioscience (Elite Edition), Vol. 11, Issue 1. (June 2019) 166 – 185.

• Devesh Manjhi, Amrita Chaturvedi: Software Component Reusability Classification in Functional Paradigm. In: IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT 2019), Coimbatore, India. (February 2019) pp 1 – 7, doi: 10.1109/ICECCT.2019.8869123.  

• Dipti Tripathi, Ashish Kumar Maurya, Amrita Chaturvedi, Anil Kumar Tripathi: A Study of Security Modelling Techniques for Smart Systems. In: IEEE Computers and IT Conference (Com-IT-Com 2019), Faridabad, India. (February 2019) pp 87-92, doi: 10.1109/COMITCon.2019.8862443.  

• Diganta Misra, Anurag Tiwari, Amrita Chaturvedi: Large-Scale Meta-Analysis of Genes Encoding Pattern in Wilson's Disease. In: International Conference on Computer Communication and Computational Sciences (IC4S 2018), Bangkok, Thailand, Advances in Intelligent Systems and Computing (AISC), Springer, Vol 924, pp 389–400. (October 2018) (Best Paper Award)

• Shivam Chaturvedi, Amrita Chaturvedi, Anurag Tiwari and Shalini Agarwal: Design Pattern Detection using Machine Learning Techniques. In: 7th IEEE International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO 2018), Noida, India. (August 2018) pp 1 - 6, doi: 10.1109/ICRITO.2018.8748282. 

• Shivam Chaturvedi, Amrita Chaturvedi, Anurag Tiwari: Design Pattern Detection using Probabilistic Analysis of Dataset and Soft Computing Techniques. In: Third Indian Workshop on Machine Learning (iWML 2018), IIT (BHU) Varanasi, India. (July 2018)

• Aditya Vardhan, Amrita Chaturvedi: Ontology driven shopping cart: A comparative analysis. In: Springer Communications in Computer and Information Science (CCIS 2017), Springer, Singapore, Vol 750. (2017)

• Anurag Tiwari, Amrita Chaturvedi, "Class partition approach for software effort estimation using support vector machine," 2016 IEEE International Conference on Electrical, Computer and Electronics Engineering (UPCON 2016), Varanasi, India. (December 2016) 653-659 doi: 10.1109/UPCON.2016.789473

• Amrita Chaturvedi, Prabhakar T.V.: Ontology driven creational design patterns as reusable components. In: ACM Applied Computing Review Journal, ACM Press, Vol 14, 1, pp 6 - 19. (2014)

• Amrita Chaturvedi, Prabhakar T.V.: Ontology driven builder pattern – a plug and play component. In: The 29th ACM Symposium on Applied Computing (ACM SAC 2014), ACM Press, Gyeongju, Korea. (March 2014) pp 1055 - 1057, https://doi.org/10.1145/2554850.2555164 

• Amrita Chaturvedi, Prabhakar T.V.: Ontology driven creational design pattern – creating objects on the fly. In: Proceedings of International Conference on Reliable and Convergent Systems (ACM RACS 2013), ACM Press, Montreal, Canada. (October 2013) pp 365 – 372, https://doi.org/10.1145/2513228.2513243 

• Amrita Chaturvedi, Prabhakar T.V.: Ontology driven observer pattern. In: International Workshop on Ontologies meet Advanced Information Systems (OAIS 2013) in conjunction with 17th East-European Conference on Advances in Databases and Information Systems (ADBIS 2013), Genova, Italy, Advances in Intelligent Systems and Computing (AISC), Springer, Vol 241, pp 307–316. (September 2013)

• Amrita Chaturvedi, Prabhakar T.V.: Ontological visitor pattern. In: Proceedings of Indian Conference on Patterns and Pattern Languages of Programs (GuruPLoP 2013), Bangalore, India. (March 2013)

• Amrita Chaturvedi, Prabhakar T.V.: Ontology - driven mvc: A variant of mvc architectural style. In: Proceedings of the International Conference on Software Engineering and New Technologies (ICSENT'2012), Hammamet, Tunisia. (December 2012) 158 - 174 (Best Paper Award).

Book Chapter

• Amit Sinha, Suneet Kumar Gupta, Anurag Tiwari, Amrita Chaturvedi: Deep learning: An overview and innovative approach in machine learning. Book chapter in Hidden Link Prediction in Stochastic Social Networks, IGI Global. 

• Amrita Chaturvedi, Prabhakar T.V.: Ontology - driven mvc: A variant of mvc architectural style. Book chapter in Business Intelligence and Mobile Technology Research: An Information Engineering Perspective, edt. by Sean Eom (Cambridge Scholars Publishing).

Technical Report

• Amrita Chaturvedi, Prabhakar T.V.: Domain Ontology Based MVC and Its Quality Attribute Implication, Indian Institute of Technology Kanpur, 2010.

Links to my publications: DBLP, Google Scholar