Mitra, Aniket; E.V, Vinu; Stat-n-Ball: Enhancing Probabilistic Knowledge Graph Embedding with Geometric and Confidance-Aware Models, The Web Conference (WWW2025), 2024 (CORE’23: A*)
Mitra, Aniket; E.V, Vinu; Optimizing Class Subsumption through Controlled Dynamics of n-Balls in Vector Space, Extended Semantic Web Conference (ESWC), 2024 (CORE’21: A, h5-index: 32, h5-median: 51)
Mitra, Aniket; E.V, Vinu; Enhancing Region-Based Geometric Embedding for Gene-Disease Associa- tion, International Conference on Data Science and Management of Data (CoDs COMAD 2024) (Short Paper) (h5-index: 20, h5-median: 26)
D. L. Tosi, Mauro; E.V, Vinu; Theobald, Martin. TensAIR: Real-Time Training of Neural Networks from Data-streams, International Conference on Machine Learning and Soft Computing (ICMLSC), 2024. (h5-index: 12, h5-median: 20). (best paper presentation award)
Kulkarni, Apurva; E.V, Vinu; Ramanathan, Chandrashekar; Ontology Mediated Document Retrieval for Exploratory Big Data Analytics, 2023 IEEE 17th International Conference on Semantic Computing (ICSC), Page 100-103, Feb 2023 (h5-index: 22, h5-median: 32).
Kulkarni, Apurva; Ramanathan, Chandrashekar; E.V, Vinu; Cognitive Retrieve- Empowering Document Retrieval with Semantics and Domain- Specific Knowledge Graph, CIKM (Workshop on Enterprise Knowl- edge Graphs-LLM), 2023. (CORE: A, h5-index: 79, h5-median: 122)
Xu, Jingjing; Biryukov, Maria; Theobald, Martin, E.V, Vinu; BigText-QA: Question Answering over a Large- Scale Hybrid Knowledge Graph, EAI BDTA 2023 - 13th EAI International Conference on Big Data Technolo- gies and Applications, Aug 2023.
Kulkarni, Apurva; E.V, Vinu; Ramanathan, Chandrashekar; SDG Aligned Datalake Framework over Open Data; 11th Annual International Conference on Sustainable Development (ICSD), 2023.
D. L. Tosi, Mauro; E.V, Vinu; Theobald, Martin. Convergence time analysis of Asynchronous Distributed Artificial Neural Networks, ACM India Joint International Conference on Data Science and Management of Data (CoDs COMAD) 2022 (Short Paper) (h5-index: 20, h5-median: 26)
Kulkarni, Apurva; Bassin, Pooja; Sri Parasa, Niharika; E.V, Vinu, Srinivasa, Srinath; Ramanathan, Chandrashekar; Ontology Augmented Data Lake System for Policy Support, 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, Dec 2022.
Journal Articles
Kulkarni, Apurva; Ramanathan, Chandrashekar; E.V, Vinu; Semantics-Aware Document Retrieval for Government Administrative Data, International Journal of Semantic Computing (IJSC), Vol. 17 Issue 3, Page 477-491, Sep 2023. DOI: 10.1142/S1793351X23300017 (CiteScore: 1.9, IF: .8, h5-index: 19, h5-median: 21).
E.V, Vinu; Theobald, Martin; Tassetti, Damien; Chaychi, Samira; Tawakuli, Amal; Targeting Light-Weight and Multi-Channel approach for Asynchronous Stream Data Processing, Journal of Parallel and Distributed Computing, Vol. 167, Page 18-30, April 2022. (CORE: A+, CiteScore: 10.2, IF: 3.8, h5-index: 65, h5-median: 98).
E.V, Vinu; Kumar, P Sreenivasa. Difficulty-level Modeling of Ontology-based Factual Questions, Semantic Web – Interoperability, Usability, Applicability. Vol 11, 1023-1036, (2020). DOI: 10.3233/SW-200381 (IF: 3.1058, h5-index: 41, h5-median: 68).
E.V, Vinu; Kumar, P Sreenivasa. Automated Generation of Assessment Tests from Domain Ontologies, Semantic Web – Interoperability, Usability, Applicability. Vol 8(6), 1023–1047, (2017) DOI: 10.3233/SW170252 (IF: 3.1058, h5-index: 41, h5-median: 68).
E.V, Vinu; Kumar, P Sreenivasa. A novel approach to generate MCQs from domain ontology: considering DL semantics and open-world assumption, Web Semantics: Science, Services and Agents on the World Wide Web, Vol 34 (C), 40-54, (2015) DOI: 10.1016/j.websem.2015.05.005 (CiteScore: 8.5, IF: 2.5, h5-index: 25, h5-median: 45)
