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Masoud Reyhani Hamedani
Masoud Reyhani Hamedani
Research Associate Professor, Hanyang University, Seoul, Korea
Verified email at agape.hanyang.ac.kr - Homepage
Title
Cited by
Cited by
Year
SimCC: A Novel Method to Consider Both Content and Citations for Computing Similarity of Scientific Papers
MR Hamedani, SW Kim, DJ Kim
Information Sciences 334 (C), 273-292, 2016
432016
JacSim: An Accurate and Efficient Link-based Similarity Measure in Graphs
MR Hamedani, SW Kim
Information Sciences 414, 203-224, 2017
222017
On Exploiting Content and Citations Together to Compute Similarity of Scientific Papers
MR Hamedani, SW Kim, SC Lee, DJ Kim
ACM International Conference on Information and Knowledge Management (CIKM …, 2013
17*2013
AndroClass: An Effective Method to Classify Android Applications by Applying Deep Neural Networks to Comprehensive Features
MR Hamedani, D Shin, M Lee, SJ Cho, C Hwang
Wireless Communications and Mobile Computing 2018, 1-22, 2018
112018
AdaSim: A Recursive Similarity Measure in Graphs
MR Hamedani, SW Kim
Proceedings of the 30th ACM International Conference on Information …, 2021
102021
On Investigating Both Effectiveness and Efficiency of Embedding Methods in Task of Similarity Computation of Nodes in Graphs
MR Hamedani, SW Kim
Applied Sciences 11 (1), 162, 2021
9*2021
TrustRec: An Effective Approach to Exploit Implicit Trust and Distrust Relationships along with Explicit ones for Accurate Recommendations
MR Hamedani, I Ali, J Hong, SW Kim
Computer Science and Information Systems 18 (1), 93-114, 2020
92020
Simrank and Its Variants in Academic Literature Data: Measures and Evaluation
MR Hamedani, SW Kim
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 1102-1107, 2016
82016
On Combining Text-based and Link-based Similarity Measures for Scientific Papers
MR Hamedani, SC Lee, SW Kim
Research in Adaptive and Convergent Systems Conference, ACM RACS 2013, 111-115, 2013
72013
Geltor: a graph embedding method based on listwise learning to rank
M Reyhani Hamedani, JS Ryu, SW Kim
Proceedings of the ACM Web Conference 2023, 6-16, 2023
62023
Pairwise Normalization in SimRank Variants: Problem, Solution, and Evaluation
MR Hamedani, SW Kim
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 534-541, 2019
62019
JacSim*: An Effective and Efficient Solution to The Pairwise Normalization Problem in SimRank
MR Hamedani, SW Kim
IEEE Access 9, 146038-146049, 2021
42021
SimAndro: An Effective Method to Compute Similarity of Android Applications
MR Hamednai, G Kim, S Cho
Soft Computing 23 (17), 7569-7590, 2019
42019
SimCC-AT: A Method to Compute Similarity of Scientific Papers with Automatic Parameter Tuning
MR Hamedani, SW Kim
Proceedings of the 39th International Conference on Research and Development …, 2016
4*2016
On Computing Similarity in Academic Literature Data: Methods and Evaluation
MR Hamedani, SW Kim
International Conference on Web-Age Information Management, 403-412, 2014
22014
A Comparative Study of Vector Space and Probabilistic Models in Computing Similarity of Scientific Papers
MR Hamedani, SW Kim
정보과학회논문지: 컴퓨팅의 실제 및 레터 20 (3), 186-190, 2014
22014
Simcs: An effective method to compute similarity of scientific papers based on contribution scores
MR Hamedani, SW Kim
IEICE TRANSACTIONS on Information and Systems 98 (12), 2328-2332, 2015
12015
Text-based and Link-based Similarity Measures for Scientific Papers
MR Hamedani, SC Lee, SW KIm
The fifth International Conference on Emerging Database (ED‌B 2013), 188-191, 2013
12013
Random-Walk-Based or Similarity-Based Methods, Which is Better for Directed Graph Embedding?
MR Hamedani, JS Ryu, SW Kim
2024 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2024
2024
ELTRA: An Embedding Method based on Learning-to-Rank to Preserve Asymmetric Information in Directed Graphs
M Rehyani Hamedani, JS Ryu, SW Kim
Proceedings of the 32nd ACM International Conference on Information and …, 2023
2023
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