Vishnu Manasa Devagiri

Vishnu Manasa Devagiri

Doktorand

vishnu.manasa.devagiri@bth.se

Institutionen för datavetenskap, Rum J3132

0455-385830

Vishnu Manasa Devagiri är doktorand i datavetenskap. Hennes forskningsintressen inkluderar maskininlärning, data mining, evolutionär klustering, concept drift.

Projekt och publikationer

Nyligen publicerat
Christoffer Åleskog, Vishnu Manasa Devagiri, Veselka Boeva, "A Graph-based Multi-view Clustering Approach for Continuous Pattern Mining", Studies in Big Data, ISSN 2197-6503, EISSN 2197-6511, EISSN 106, Recent Advancements in Multi-View Data Analytics, Springer Science+Business Media B.V., 2022
Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari, "Domain Adaptation Through Cluster Integration and Correlation", IEEE International Conference on Data Mining Workshops, ICDMW, ISSN 2375-9232, EISSN 2375-9259, EISSN 2022, IEEE International Conference on Data Mining Workshops, ICDMW, IEEE Computer Society, 2022
Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari, "A Multi-view Clustering Approach for Analysis of Streaming Data", IFIP Advances in Information and Communication Technology, ISSN 18684238, EISSN 627, IFIP Advances in Information and Communication Technology, Springer Science and Business Media Deutschland GmbH, 2021
Vishnu Manasa Devagiri, "Clustering Techniques for Mining and Analysis of Evolving Data", Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140, EISSN 12154, EISSN 2021:09, Blekinge Tekniska Högskola, 2021
Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari, Fahrad Basiri, Niklas Lavesson, "Multi-view data analysis techniques for monitoring smart building systems", Sensors, EISSN 1424-8220, Vol. 21, nr 20, MDPI, 2021
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