مسعود رهگذر

1. MATER: Bi-level matching-aggregation model for time-aware expert recommendation

Zahedi Mohammad Sadegh، Rahgozar Maseud، Aghaizadeh Zoroofi Reza (2023)., EXPERT SYSTEMS WITH APPLICATIONS, 237(Part B).

1. Complex Disease genes Identification using a heterogeneous network embedding approach

Ghasemi Mahdieh، Rahgozar Maseud، Kavousi Kaveh (2022)., IEEE-ACM Transactions on Computational Biology and Bioinformatics, 10(52).

2. An information theoretic approach to link prediction in multiplex networks

Jafari Sayed Hossein، Abdolhosseini Qomi Amir Mahdi، Asadpour Masoud، Rahgozar Maseud، Yazdani Naser (2021)., Scientific Reports, 11(1).

1. HCA: Hierarchical Compare Aggregate model for question retrieval in community question answering

Zahedi Mohammad Sadegh، Rahgozar Maseud، Aghaizadeh Zoroofi Reza (2020)., INFORMATION PROCESSING & MANAGEMENT, 57(6), 102318.

2. Link prediction in real-world multiplex networks via layer reconstruction method

Abdolhosseini Qomi Amir Mahdi، Jafari Sayed Hossein، Taghizadeh Kejani Amirheckmat، Yazdani Naser، Asadpour Masoud، Rahgozar Maseud (2020)., ROYAL SOCIETY OPEN SCIENCE, 7(7), 191928.

1. Influence maximization across heterogeneous interconnected networks based on deep learning

Keikha Mohammad Mehdi، Rahgozar Maseud، Asadpour Masoud، Faghih Abdollahi Mohammad (2020)., EXPERT SYSTEMS WITH APPLICATIONS, 140(112905), 112905.

2. Data Science: From Research to Application

Mansouri Fatemeh، Rahgozar Maseud، Kavousi Kaveh (2020).

3. A Pathway Analysis Approach Using Petri Net

Mansoori Fatemeh، Rahgozar Maseud، Kavousi Kaveh (2020)., IEEE Journal of Biomedical and Health Informatics, 21(2168), 1-1.

4. DeepLink: A novel link prediction framework based on deep learning

Keikha Mohammad Mehdi، Rahgozar Maseud، Asadpour Masoud (2019)., JOURNAL OF INFORMATION SCIENCE, 16(1), 016555151989134.

5. Performance evaluation measures for protein complex prediction

Ivazeh Asma، Zahiri Javad، Rahgozar Maseud، Srihar Sriganesh (2019)., GENOMICS, 111(6), 1483-1492.

6. Serial Recall Effects in Neural Language Modeling

Hajipour Hassan، Amiri Hadi، Rahgozar Maseud، Aromchiyan Farhad (2019)., Proceedings of the 2019 Conference of the North, 1-3 June, Minnesota, United States Of America (USA).

1. FoPA: identifying perturbed signaling pathways in clinical conditions using formal methods

Mansouri Fatemeh، Rahgozar Maseud، Kavousi Kaveh (2019)., BMC BIOINFORMATICS, 20(1).

2. Twitter sentiment analysis using fuzzy integral classifier fusion

Emadi Mehdi، Rahgozar Maseud (2019)., JOURNAL OF INFORMATION SCIENCE, 1(17), 1-17.

3. Identification of glioblastoma multiform module using heterogeneous network-based similarity search

Ghasemi Mahdiyeh، Rahgozar Maseud، Kavousi Kaveh (2019)., 8th Iran Bioinformatics Conference, 18-20 February, Iran.

1. Community aware random walk for network embedding

Keikha Mohammad Mehdi، Rahgozar Maseud، Asadpour Masoud (2018)., KNOWLEDGE-BASED SYSTEMS, 148(8), 47-54.

3. Learning Temporal Ambiguity in Web Search Queries

Mansouri Behrooz، Zahedi Mohammad Sadegh، Rahgozar Maseud، Orumchiyan Farhad، Campos Ricardo (2017)., CIKM 2017, 6-10 November, Kuala Lumpur, Singapore.

5. Detecting Seasonal Queries Using Time Series and Content Features

Mansouri Behrooz، Zahedi Mohammad Sadegh، Rahgozar Maseud، Campos Ricardo (2017)., International conference on theory of information retrieval, 1-4 October, Amsterdam, Netherlands.

6. Prediction of Drug-Disease Associations Based on a Random Walk on Heterogeneous Network

Karamali Masoumeh، Rahgozar Maseud، Kavousi Kaveh (2017)., The Second International and 10th National Biotechnology Congress, 29-31 August, Karaj, Iran.

1. Using Heterogeneous Feature Fusion in Drug-Disease Interactions Prediction

Moghadam Hakimeh، Rahgozar Maseud، Gharaghani Sajjad (2016)., 6th Conference on Bioinformatics, 13-15 December, Tehran, Iran.