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Srinitish Srinivasan

dblp:372/7372 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0007-0122-8890ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Knowledge graphs · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge graphs › taxonomy expansion
self-supervised taxonomy expansion
1.012026
TaxoBell: Gaussian Box Embeddings for Self-Supervised Taxonomy Expansion · WWW 2026
Knowledge graphs
taxonomy expansion
1.012026
TaxoBell: Gaussian Box Embeddings for Self-Supervised Taxonomy Expansion · WWW 2026

Methods — techniques the papers use, named apart from their topics

gaussian box embeddings · 1.0
YearPublicationVenuePosition
2026 TaxoBell: Gaussian Box Embeddings for Self-Supervised Taxonomy Expansion
Sahil Mishra, Srinitish Srinivasan, Srikanta J. Bedathur, Tanmoy Chakraborty 0002
WWW2
2025 Crop weed separation through image-level segmentation: an ensemble of modified U-Net and encoder-decoder
Sannasi Ganapathy, Srinitish Srinivasan
Neural Comput. Appl.2