A procedure with stepsize control for solving n one-dimensional IVPs. - Davod Khojasteh Salkuyeh; Faezeh Toutounian; Hamed Shariat Yazdi (Math. Comput. Simul., 2008)

Generating realistic test models for model processing tools. - Pit Pietsch; Hamed Shariat Yazdi; Udo Kelter (ASE, 2011)

Controlled Generation of Models with Defined Properties. - Pit Pietsch; Hamed Shariat Yazdi; Udo Kelter (Software Engineering, 2012)

Assessing the Quality of Model Differencing Engines. - Pit Pietsch; Hamed Shariat Yazdi; Udo Kelter; Timo Kehrer (Softwaretechnik-Trends, 2012)

Statistical Analysis of Changes for Synthesizing Realistic Test Models. - Hamed Shariat Yazdi; Pit Pietsch; Timo Kehrer; Udo Kelter (Software Engineering, 2013)

Detection of High-Level Changes in Evolving Java Software. - Timo Kehrer; Pit Pietsch; Hamed Shariat Yazdi; Udo Kelter (Softwaretechnik-Trends, 2013)

Analysis and Prediction of Design Model Evolution Using Time Series. - Hamed Shariat Yazdi; Mahnaz Mirbolouki; Pit Pietsch; Timo Kehrer; Udo Kelter (CAiSE Workshops, 2014)

Synthesizing realistic test models. - Hamed Shariat Yazdi; Pit Pietsch; Timo Kehrer; Udo Kelter (Comput. Sci. Res. Dev., 2015)

Statistical analysis and simulation of design models evolution. - Hamed Shariat Yazdi (2015)

A framework for capturing, statistically modeling and analyzing the evolution of software models. - Hamed Shariat Yazdi; Lefteris Angelis; Timo Kehrer; Udo Kelter (J. Syst. Softw., 2016)

OECM: A Cross-Lingual Approach for Ontology Enrichment. - Shimaa Ibrahim; Said Fathalla; Hamed Shariat Yazdi; Jens Lehmann 001; Hajira Jabeen (ESWC (Satellite Events), 2019)

From Monolingual to Multilingual Ontologies: The Role of Cross-Lingual Ontology Enrichment. - Shimaa Ibrahim; Said Fathalla; Hamed Shariat Yazdi; Jens Lehmann 001; Hajira Jabeen (SEMANTiCS, 2019)

Soft Marginal TransE for Scholarly Knowledge Graph Completion. - Mojtaba Nayyeri; Sahar Vahdati; Jens Lehmann 001; Hamed Shariat Yazdi (CoRR, 2019)

Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function. - Mojtaba Nayyeri; Xiaotian Zhou; Sahar Vahdati; Hamed Shariat Yazdi; Jens Lehmann 001 (CoRR, 2019)

LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules. - Mojtaba Nayyeri; Chengjin Xu; Jens Lehmann 001; Hamed Shariat Yazdi (CoRR, 2019)

On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score. - Mojtaba Nayyeri; Chengjin Xu; Yadollah Yaghoobzadeh; Hamed Shariat Yazdi; Jens Lehmann 001 (CoRR, 2019)

Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition. - Chengjin Xu; Mojtaba Nayyeri; Fouad Alkhoury; Jens Lehmann 001; Hamed Shariat Yazdi (CoRR, 2019)

TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. - Chengjin Xu; Mojtaba Nayyeri; Fouad Alkhoury; Hamed Shariat Yazdi; Jens Lehmann 001 (COLING, 2020)

The Effect of Rule Injectionin a Leakage Free Dataset. - Mirza Mohtashim Alam; Mojtaba Nayyeri; Chengjin Xu; Md. Rashad Al Hasan Rony; Hamed Shariat Yazdi; Afshin Sadeghi; Jens Lehmann 001 (KR4L@ECAI, 2020)

MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs. - Afshin Sadeghi; Damien Graux; Hamed Shariat Yazdi; Jens Lehmann 001 (ECAI, 2020)

Embedding-Based Recommendations on Scholarly Knowledge Graphs. - Mojtaba Nayyeri; Sahar Vahdati; Xiaotian Zhou; Hamed Shariat Yazdi; Jens Lehmann 001 (ESWC, 2020)

Let the Margin SlidE± for Knowledge Graph Embeddings via a Correntropy Objective Function. - Mojtaba Nayyeri; Xiaotian Zhou; Sahar Vahdati; Reza Izanloo; Hamed Shariat Yazdi; Jens Lehmann 001 (IJCNN, 2020)

Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them. - Mojtaba Nayyeri; Chengjin Xu; Sahar Vahdati; Nadezhda Vassilyeva; Emanuel Sallinger; Hamed Shariat Yazdi; Jens Lehmann 001 (ISWC (1), 2020)

Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding. - Chenjin Xu; Mojtaba Nayyeri; Fouad Alkhoury; Hamed Shariat Yazdi; Jens Lehmann 001 (ISWC (1), 2020)

Pattern-Aware and Noise-Resilient Embedding Models. - Mojtaba Nayyeri; Sahar Vahdati; Emanuel Sallinger; Mirza Mohtashim Alam; Hamed Shariat Yazdi; Jens Lehmann 001 (ECIR (1), 2021)

Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models. - Mojtaba Nayyeri; Chengjin Xu; Yadollah Yaghoobzadeh; Sahar Vahdati; Mirza Mohtashim Alam; Hamed Shariat Yazdi; Jens Lehmann 001 (PAKDD (3), 2021)

LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules. - Mojtaba Nayyeri; Chengjin Xu; Mirza Mohtashim Alam; Jens Lehmann 001; Hamed Shariat Yazdi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)