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ORCIDRemzi Çelebi
Person information
- affiliation: Maastricht University, The Netherlands
- affiliation (former): Ege Üniversitesi, Turkey
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2020 – today
- 2023
[i3]Visara Urovi, Remzi Celebi, Chang Sun, Linda Rieswijk, Michael Erard, Arif Yilmaz, Kody Moodley, Parveen Kumar, Michel Dumontier:
TAPS Responsibility Matrix: A tool for responsible data science by design. CoRR abs/2302.01041 (2023)- 2022
- [c14]Shervin Mehryar, Remzi Celebi:
Improving Transitive Embeddings in Neural Reasoning Tasks via Knowledge-Based Policy Networks (full paper). SemREC/SMART@ISWC 2022: 16-27 - [c13]Julie Loesch, Louis Meeckers, Ilse van Lier, Alie de Boer, Michel Dumontier, Remzi Celebi:
Automated Identification of Food Substitutions Using Knowledge Graph Embeddings. SWAT4HCLS 2022: 19-28 - [c12]Olga L. Giraldo, Miguel Ruano, Robin A. Richardson, Remzi Celebi, Michel Dumontier, Tobias Kuhn:
Nanotate: Semantically Annotating Experimental Protocols with Nanopublications. SWAT4HCLS 2022: 64-73 - 2021
- [j3]Krist Shingjergji, Remzi Celebi
, Jan C. Scholtes, Michel Dumontier:
Relation extraction from DailyMed structured product labels by optimally combining crowd, experts and machines. J. Biomed. Informatics 122: 103902 (2021) - [c11]Robin A. Richardson, Remzi Celebi, Sven van der Burg, Djura Smits, Lars Ridder, Michel Dumontier, Tobias Kuhn:
User-friendly Composition of FAIR Workflows in a Notebook Environment. K-CAP 2021: 1-8 - [c10]Xiao Niing, Ammar Ammar, Arif Yilmaz, Shervin Mehryar, Remzi Celebi:
Semantic Answer Type Prediction by Using BERT classifier and Rule-based Ranking Strategies. SMART@ISWC 2021: 66-76 - [i2]Robin A. Richardson, Remzi Celebi, Sven van der Burg, Djura Smits, Lars Ridder, Michel Dumontier, Tobias Kuhn:
User-friendly Composition of FAIR Workflows in a Notebook Environment. CoRR abs/2111.00831 (2021) - 2020
- [j2]Remzi Celebi, Joao Rebelo Moreira, Ahmed A. Hassan, Sandeep Ayyar, Lars Ridder, Tobias Kuhn, Michel Dumontier:
Towards FAIR protocols and workflows: the OpenPREDICT use case. PeerJ Comput. Sci. 6: e281 (2020) - [c9]Ammar Ammar, Shervin Mehryar, Remzi Celebi:
A Methodology for Hierarchical Classification of Semantic Answer Types of Questions. SMART@ISWC 2020: 41-48
2010 – 2019
- 2019
- [j1]Remzi Celebi, Hüseyin Uyar, Erkan Yasar, Özgür Gümüs, Oguz Dikenelli, Michel Dumontier:
Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings. BMC Bioinform. 20(1): 726 (2019) - [c8]Ammar Ammar, Remzi Celebi:
Fact Validation with Knowledge Graph Embeddings. ISWC (Satellites) 2019: 125-128 - [i1]Remzi Celebi, Joao Rebelo Moreira, Ahmed A. Hassan, Sandeep Ayyar, Lars Ridder, Tobias Kuhn, Michel Dumontier:
Towards FAIR protocols and workflows: The OpenPREDICT case study. CoRR abs/1911.09531 (2019) - 2018
- [c7]Remzi Çelebi, Erkan Yasar, Hüseyin Uyar, Özgür Gümüs, Oguz Dikenelli, Michel Dumontier:
Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction using Linked Open Data. SWAT4LS 2018 - 2017
- [c6]Remzi Çelebi, Özgün Erten, Michel Dumontier:
Machine Learning Based Drug Indication Prediction Using Linked Open Data. SWAT4LS 2017 - 2015
- [c5]Remzi Çelebi, Vahab Mostafapour, Erkan Yasar, Özgür Gümüs, Oguz Dikenelli:
Prediction of Drug-Drug Interactions Using Pharmacological Similarities of Drugs. DEXA Workshops 2015: 14-17 - 2013
- [c4]Remzi Çelebi, Özgür Gümüs, Yedim Aysin Son:
Weighting Indirect Relations to Elucidate the Direct Association of SNP-Disease by Use of SPARQL Queries. SWAT4LS 2013 - 2011
- [c3]Remzi Celebi, Hürevren Kiliç:
Mobile Prisoner's Dilemma game played on diverse habitats. IEEE Congress on Evolutionary Computation 2011: 2600-2604 - 2010
- [c2]Gunnar Aastrand Grimnes, Remzi Celebi, Leo Sauermann:
Using linked open data to bootstrap corporate knowledge management in the OrganiK project. I-SEMANTICS 2010
2000 – 2009
- 2006
- [c1]Remzi Celebi, Huseyin Ellezer, Cem Baylam, Ibrahim Cereci, Hürevren Kiliç:
Process Matchmaking on a P2P Environment. IAT Workshops 2006: 463-466
Coauthor Index
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last updated on 2023-03-12 03:04 CET by the dblp team
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