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ORCIDHamed Shariat Yazdi
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2020 – today
- 2023
[j6]Mojtaba Nayyeri
, Chengjin Xu, Mirza Mohtashim Alam, Jens Lehmann, Hamed Shariat Yazdi:
LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7050-7062 (2023)- 2021
- [c16]Mojtaba Nayyeri, Sahar Vahdati, Emanuel Sallinger, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann:
Pattern-Aware and Noise-Resilient Embedding Models. ECIR (1) 2021: 483-496 - [c15]Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Sahar Vahdati, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann:
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models. PAKDD (3) 2021: 77-89 - 2020
- [c14]Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann:
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. COLING 2020: 1583-1593 - [c13]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 - [c12]Afshin Sadeghi, Damien Graux, Hamed Shariat Yazdi, Jens Lehmann:
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs. ECAI 2020: 1427-1434 - [c11]Mojtaba Nayyeri, Sahar Vahdati, Xiaotian Zhou, Hamed Shariat Yazdi, Jens Lehmann:
Embedding-Based Recommendations on Scholarly Knowledge Graphs. ESWC 2020: 255-270 - [c10]Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Reza Izanloo, Hamed Shariat Yazdi, Jens Lehmann:
Let the Margin SlidE± for Knowledge Graph Embeddings via a Correntropy Objective Function. IJCNN 2020: 1-9 - [c9]Mojtaba Nayyeri, Chengjin Xu, Sahar Vahdati, Nadezhda Vassilyeva, Emanuel Sallinger, Hamed Shariat Yazdi, Jens Lehmann:
Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them. ISWC (1) 2020: 438-455 - [c8]Chenjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann:
Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding. ISWC (1) 2020: 654-671 - [i6]Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann:
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. CoRR abs/2010.01029 (2020)
2010 – 2019
- 2019
- [c7]Shimaa Ibrahim, Said Fathalla, Hamed Shariat Yazdi, Jens Lehmann, Hajira Jabeen:
OECM: A Cross-Lingual Approach for Ontology Enrichment. ESWC (Satellite Events) 2019: 100-104 - [c6]Shimaa Ibrahim, Said Fathalla, Hamed Shariat Yazdi, Jens Lehmann, Hajira Jabeen:
From Monolingual to Multilingual Ontologies: The Role of Cross-Lingual Ontology Enrichment. SEMANTiCS 2019: 215-230 - [i5]Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann, Hamed Shariat Yazdi:
Soft Marginal TransE for Scholarly Knowledge Graph Completion. CoRR abs/1904.12211 (2019) - [i4]Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Hamed Shariat Yazdi, Jens Lehmann:
Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function. CoRR abs/1907.05336 (2019) - [i3]Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Hamed Shariat Yazdi:
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules. CoRR abs/1908.07141 (2019) - [i2]Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Hamed Shariat Yazdi, Jens Lehmann:
On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score. CoRR abs/1909.00519 (2019) - [i1]Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Jens Lehmann, Hamed Shariat Yazdi:
Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition. CoRR abs/1911.07893 (2019) - 2018
- [c5]Hamed Shariat Yazdi, Lefteris Angelis, Timo Kehrer, Udo Kelter:
A framework for capturing, statistically modeling and analyzing the evolution of software models. Software Engineering 2018: 91-92 - 2016
- [j5]Hamed Shariat Yazdi, Lefteris Angelis, Timo Kehrer, Udo Kelter:
A framework for capturing, statistically modeling and analyzing the evolution of software models. J. Syst. Softw. 118: 176-207 (2016) - 2015
- [b1]Hamed Shariat Yazdi:
Statistical analysis and simulation of design models evolution. University of Siegen, 2015 - [j4]Hamed Shariat Yazdi, Pit Pietsch, Timo Kehrer, Udo Kelter:
Synthesizing realistic test models. Comput. Sci. Res. Dev. 30(3-4): 231-253 (2015) - 2014
- [c4]Hamed Shariat Yazdi, Mahnaz Mirbolouki, Pit Pietsch, Timo Kehrer, Udo Kelter:
Analysis and Prediction of Design Model Evolution Using Time Series. CAiSE Workshops 2014: 1-15 - 2013
- [j3]Timo Kehrer, Pit Pietsch, Hamed Shariat Yazdi, Udo Kelter:
Detection of High-Level Changes in Evolving Java Software. Softwaretechnik-Trends 33(2) (2013) - [c3]Hamed Shariat Yazdi, Pit Pietsch, Timo Kehrer, Udo Kelter:
Statistical Analysis of Changes for Synthesizing Realistic Test Models. Software Engineering 2013: 225-238 - 2012
- [j2]Pit Pietsch, Hamed Shariat Yazdi, Udo Kelter, Timo Kehrer:
Assessing the Quality of Model Differencing Engines. Softwaretechnik-Trends 32(4) (2012) - [c2]Pit Pietsch, Hamed Shariat Yazdi, Udo Kelter:
Controlled Generation of Models with Defined Properties. Software Engineering 2012: 95-106 - 2011
- [c1]Pit Pietsch, Hamed Shariat Yazdi, Udo Kelter:
Generating realistic test models for model processing tools. ASE 2011: 620-623
2000 – 2009
- 2008
- [j1]Davod Khojasteh Salkuyeh, Faezeh Toutounian, Hamed Shariat Yazdi:
A procedure with stepsize control for solving n one-dimensional IVPs. Math. Comput. Simul. 79(2): 167-176 (2008)
Coauthor Index
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