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Afshin Sadeghi
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2020 – today
- 2023
- [b1]Afshin Sadeghi:
Multiple Objective Learning for Effective Knowledge Graph Embedding. University of Bonn, Germany, 2023 - 2021
- [c8]Afshin Sadeghi, Xhulia Shahini, Martin Schmitz, Jens Lehmann:
BenchEmbedd: A FAIR Benchmarking tool forKnowledge Graph Embeddings. SEMANTiCS (Posters & Demos) 2021 - [c7]Afshin Sadeghi, Hirra Malik, Diego Collarana, Jens Lehmann:
Relational Pattern Benchmarking on the Knowledge Graph Link Prediction Task. NeurIPS Datasets and Benchmarks 2021 - [c6]Afshin Sadeghi
, Diego Collarana
Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities. ECML/PKDD (2) 2021: 548-564 - [e1]Mehwish Alam, Mehdi Ali, Paul Groth, Pascal Hitzler, Jens Lehmann, Heiko Paulheim, Achim Rettinger, Harald Sack, Afshin Sadeghi, Volker Tresp:
Machine Learning with Symbolic Methods and Knowledge Graphs co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Virtual, September 17, 2021. CEUR Workshop Proceedings 2997, CEUR-WS.org 2021 [contents] - 2020
- [c5]Mirza Mohtashim Alam, Mojtaba Nayyeri, Chengjin Xu, Md. Rashad Al Hasan Rony, Hamed Shariat Yazdi, Afshin Sadeghi, Jens Lehmann:
The Effect of Rule Injectionin a Leakage Free Dataset. KR4L@ECAI 2020: 28-35 - [c4]Afshin Sadeghi, Damien Graux
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs. ECAI 2020: 1427-1434 - [c3]Samin Payrosangari
Meta-hyperband: Hyperparameter Optimization with Meta-learning and Coarse-to-Fine. IDEAL (2) 2020: 335-347
2010 – 2019
- 2019
- [j3]Afshin Sadeghi
Opening and Reusing Transparent Peer Reviews with Automatic Article Annotation. Publ. 7(1): 13 (2019) - [c2]Afshin Sadeghi, Jens Lehmann:
Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter. PKDD/ECML Workshops (1) 2019: 622-630 - [i6]Afshin Sadeghi, Damien Graux, Jens Lehmann:
MDE: Multi Distance Embeddings for Link Prediction in Knowledge Graphs. CoRR abs/1905.10702 (2019) - [i5]Afshin Sadeghi, Jens Lehmann:
Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter. CoRR abs/1908.02571 (2019) - 2018
- [i4]Afshin Sadeghi, Mahdi Jaberzadeh Ansari, Johannes Wilm, Christoph Lange:
A Survey of User Expectations and Tool Limitations in Collaborative Scientific Authoring and Reviewing. CoRR abs/1804.07708 (2018) - [i3]Afshin Sadeghi, Sarven Capadisli, Johannes Wilm, Christoph Lange, Philipp Mayr:
Automatically Annotating Articles Towards Opening and Reusing Transparent Peer Reviews. CoRR abs/1812.01027 (2018) - 2017
- [j2]Afshin Sadeghi, Johannes Wilm, Philipp Mayr, Christoph Lange
Opening Scholarly Communication in Social Sciences by Connecting Collaborative Authoring to Peer Review. Inf. Wiss. Prax. 68(2-3): 163 (2017) - [c1]Afshin Sadeghi, Christoph Lange
Integration of Scholarly Communication Metadata Using Knowledge Graphs. TPDL 2017: 328-341 - [i2]Afshin Sadeghi, Johannes Wilm, Philipp Mayr, Christoph Lange:
Opening Scholarly Communication in Social Sciences by Connecting Collaborative Authoring to Peer Review. CoRR abs/1703.04428 (2017) - [i1]Johannes Wilm, Afshin Sadeghi, Christoph Lange, Philipp Mayr:
Decentralized creation of academic documents using a Network Attached Storage (NAS) server. CoRR abs/1706.04185 (2017) - 2013
- [j1]Afshin Sadeghi, Holger Fröhlich
Steiner tree methods for optimal sub-network identification: an empirical study. BMC Bioinform. 14: 144 (2013)
Coauthor Index
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