Russa Biswas
Russa Biswas
PhD. student, KIT, AIFB, FIZ Karlsruhe
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A comprehensive survey of knowledge graph embeddings with literals: Techniques and applications
GA Gesese, R Biswas, H Sack
Workshop on Deep Learning for Knowledge Graphs, 2019
Exploiting Equivalence to Infer Type Subsumption in Linked Graphs
R Biswas, M Koutraki, H Sack
European Semantic Web Conference, 72-76, 2018
Wikipedia Infobox Type Prediction Using Embeddings.
R Biswas, R Türker, FB Moghaddam, M Koutraki, H Sack
DL4KGS@ ESWC, 46-55, 2018
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?
GA Gesese, R Biswas, M Alam, H Sack
arXiv preprint arXiv:1910.12507, 2019
Measuring biosignals of overweight and obese children for real-time feedback and predicting performance
N Öksüz, R Biswas, I Shcherbatyi, W Maass
Information Systems and Neuroscience, 185-193, 2018
Is Aligning Embedding Spaces a Challenging Task? An Analysis of the Existing Methods
R Biswas, M Alam, H Sack
arXiv preprint arXiv:2002.09247, 2020
HistorEx: Exploring Historical Text Corpora Using Word and Document Embeddings
S Müller, M Brunzel, D Kaun, R Biswas, M Koutraki, T Tietz, H Sack
European Semantic Web Conference, 136-140, 2019
Linked Open Data Validity--A Technical Report from ISWS 2018
TA Ghor, E Agrawal, M Alam, O Alqawasmeh, C D'amato, A Annane, ...
arXiv preprint arXiv:1903.12554, 2019
Predicting wikipedia infobox type information using word embeddings on categories
H Sack, R Biswas, M Koutraki
2018 EKAW Posters and Demonstrations Session, EKAW-PD 2018; Nancy; France …, 2018
Graph Based Enhancement of Clusters for Effective Semantic Classification of Twitter Text
R Biswas, MAT Declerck, D Klakow, V Demberg
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Articles 1–10