Journals

1.  Semantic Text Kernels: A hybrid interpretable framework for deep semantic analysis in textual data, Engineering Applications of Artificial Intelligence, Elsevier, 2026
2. Explainable  Optimal Random Forest Model with Conversational Interface, Engineering Applications of Artificial Intelligence, Elsevier, 2025
3. Topic Weighted Kernels: Text Kernels Integrating Topic Weights and Deep Word Embeddings for Semantic Text Analytics, IEEE Access, 2025
4. Scalable decision fusion algorithm for enabling decentralised computation in distributed, big data clustering problems, International journal of machine learning and cybernetics, Springer, 2024
5. A local explainability technique for graph neural topic models, Human Centric Intelligent Systems, Springer, 2024
6. TopicStriKer: A topic kernels-powered approach for text classification, Results in Engineering, Elsevier, 2023
7. Blockchain technology for cybersecurity: a text mining literature analysis, Intl. Journal of Information Management Data Insights, Elsevier, 2022
8. Reputation Management in vehicular network using blockchain, Peer-to-Peer Networking and Applications, Springer, 2021
9. A Transparent and Traceable Coverage Analysis model for Vaccine Supply-chain using Blockchain Technology, IT Professional, IEEE, 2021
10. Deep Learning in Extreme Learning Machines, Pattern Analysis and Applications, pp.1-9, 2021
11. Deep Kernel Machines: a survey, Pattern Analysis and Applications, pp. 1-20, 2021
12. Blockchain for Healthcare: Securing Patient Data and Enabling Trusted Articial Intelligence, International Journal of Interactive Multimedia & Artificial Intelligence 6 (3), 2020

1. ANOOP (VS), ASHARAF (S), Conceptualized phrase clustering with distributed k-means Intelligent Decision Technologies 13; 153-160, 2019
2. SABEELA (HJ), CHANDRAN (NV), ASHARAF (S), SABIR (AS), Parkchain: A blockchain powered parking solution for Smart cities, Frontiers in Blockchain, 2:6; 2019
3. ANOOP (VS), ASHARAF (S), Extracting Conceptual Relationships and Inducing Concept Lattices from Unstructured Text, Journal of Intelligent Systems 284; 669-681; 2019
4. SABEELA (HJ), ANOOP (V.S) , ASHARAF (S), Blockchain for Healthcare: Securing Patient Data and Enabling Trusted Artificial Intelligence, International Journal of Interactive Multimedia and Artificial Intelligence (Accepted for Publication -2019)
5. AFZAL (AL), ASHARAF (S), Deep kernel learning in core vector machines, Pattern Analysis and Applications, Springer 21(3):721-9; Aug 2018
6. AFZAL (AL), ASHARAF (S), Deep multiple multilayer kernel learning in core vector machines Expert Systems with Applications, Elsevier, 96:149-56; Apr 2018
7. ANOOP (VS), ASHARAF (S), Aspect-Oriented Sentiment Analysis: A Topic Modeling-Powered Approach Journal of Intelligent Systems 29; 1166-1178; 2018
8. ANOOP (VS), ASHARAF (S), A Topic Modeling Guided Approach for Semantic Knowledge Discovery in e-Commerce International Journal of Interactive Multimedia & Artificial Intelligence 4(6);1166-1178; Dec 2017
9. NAIR (NK), ASHARAF (S), Tensor decomposition based approach for training extreme learning machines Big Data Research 10:8-20; Dec 2017
10. REKHA (AG), ABDULLA (MS), ASHARAF (S), Lightly trained support vector data description for novelty detection Expert Systems with Applications 85:25-32; Nov 2017
11. ASHARAF (S), ANOOP (VS), AFZAL (AL), A framework for meaning aware product discovery in e-commerce Encyclopedia of E-Commerce Development, Implementation, and Management IGI GLOBAL 1386-1398; 2016
12. ANOOP (VS), ASHARAF (S), DEEPAK (P), Learning concept hierarchies through probabilistic topic modeling International Journal of Information Processing arXiv preprint arXiv:1611.09573; 2016
13. REKHA (A.G), MOHAMMED SHAHID ABDULLA, ASHARAF (S), Artificial Intelligence Marketing: An application of a novel Lightly Trained Support Vector Data Description, Journal of Information and Optimization Sciences 37(5), 681-691; 2016
14. SANKAR, PREM (C), ASHARAF (S), SATHEESH KUMAR (K), Learning from bees: An approach for influence maximization on viral campaigns, PloS one 11.12; 2016
15. ANOOP (VS), ASHARAF (S), A Power Iteration Clustering Based Technique for Fast Similarity Queries on Large Unstructured Dataset SCIT Journal 975; 8887; 2015

Conferences

1. ANOOP (VS), ASHARAF (S), DEEPAK (P), Topic Modeling for Unsupervised Concept Extraction and Document Ranking, International Symposium on Intelligent Systems Technologies and Applications, Springer 683; 123-135; Sep 2017
2. ANOOP (VS), ASHARAF (S), Distributional Semantic Phrase Clustering and Conceptualization Using Probabilistic Knowledgebase, International Conference on Next Generation Computing Technologies, Springer 526-534; 2017
3. VAISAKH (SHAJ), AKHIL (PM), ASHARAF (S), Edge PSO – A Recombination Operator Based PSO Algorithm For Solving TSP, International Conference on Advances in Computing, Communications and Informatics ((ICACCI), IEEE ; 35-41; Sep 2016
4. ANOOP (VS), ASHARAF (S), Unsupervised Concept Hierarchy Learning: A Topic Modeling Guided Approach, Twelfth International conference on Data Mining and Warehousing Procedia Computer Science, Elsevier 89, 386-394; 2016
5. ANOOP (VS), SANKAR(CP), ASHARAF (S), ALESSANDRO (Z), Generating and visualizing topic hierarchies from microblogs: An iterative latent dirichlet allocation approach, International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE 824-828; Aug 2015
6. REKHA (AG), ABDULLA (MS), ASHARAF (S), Driving Business Analytics through Machine Learning and Big Data, AIMS international conference on management; 2015
7. JOHN (J), ASHARAF (S), Incremental multi-document summarization: An incremental clustering based approach, International Conference on Data Science & Engineering (ICDSE), IEEE; 136-139; Aug 2014
8. REKHA (A.G), MOHAMMED SHAHID ABDULLA, ASHARAF (S), Harnessing the power of Big Data with Machine Learning for Business Decision Support, Big Data and Analytics for Business(BDAB), New Delhi, India, Annals of Information Systems, Springer; 2014
9. ANOOP (VS), ASHARAF (S), A Novel Technique for Fast Similarity Queries on Unstructured Data, International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS); 2014