My Google Scholar is available at HRahmani_GoogleScholar (Updated On June 2016).


Book Chapters


  • J. Efremova, B. Ranjbar-Sahraei, H. Rahmani F.A. Oliehoek, T. Calders, K. Tuyls, and G. Weiss: Multi-Source Entity Resolution for Genealogical Data. In Hermann Winner; Stephan Hakuli; Felix Lotz & Christina Singer, ed., 'Population Reconstruction' , Springer, pp. 129-154 .


Journal papers


  • H. Rahmani, G. Weiss, O. Mendez-Luciob and A. Bender:ARWAR: a Network Approach for Predicting Adverse Drug Reactions. Computers in Biology and Medicine, Volume 68,  2016, 101-108.
  • H. Rahmani, B. Ranjbar-Sahraeia,  G. Weiss and K. Tuyls: Entity Resolution in Disjoint Graphs with Application on Genealogical Data.  Intelligent Data Analysis journal. Volume 1, 2016, 1-21.
  • H. Rahmani, H. Blockeel and A. Bender: Using a Human Drug Network for Generating Novel Hypothesis about Drugs.  Intelligent Data Analysis journal. Volume 20, 2016, 183-197.
  • H. Rahmani, H. Blockeel and A. Bender: Using a Human Disease Network for Augmenting Prior Knowledge about Diseases. Intelligent Data Analysis Volume 19(4), 2015, 897-916
  •  H. Rahmani, H. Blockeel and A. Bender: Predicting genes involved in human cancer using network contextual information. In: Journal of Integrative Bioinformatics, 9(1):210, 2012.
  • H. Rahmani, H. Blockeel and A. Bender: Predicting the functions of proteins in protein-protein interaction networks from global information. In: Journal of Machine Learning Research, JMLR 8: 82-97 (2010).

Conference/Workshop papers


  •   V. Bashiri, H. Rahmani, and H. Bashiri: Finding Important Nodes in Social Networks. Third International Conference on Web Research (ICWR 2017). Tehran Iran. (In Press)
  •  B. Ranjbar-Sahraei, J. Efremova, H. Rahmani, T. Calders, K. Tuyls and G. Weiss: HiDER: Query-Driven Entity Resolution for Historical Data. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. (ECML PKDD, Demo Track).Porto, portugal. September 7-11, 2015.
  • J. Efremova, B. Ranjbar-Sahraei, H. Rahmani, F. Oliehoek, T. Calders, K. Tuyls and G. Weiss: Multi-source entity resolution for genealogical data. In Population Reconstruction. Springer, 2015 (to appear).
  • H. Rahmani, B. Ranjbar-Sahraei, G. Weiss and K. Tuyls: Contextual Entity Resolution Approach for Genealogical Data. In: Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML-2014). In Press, Aachen, Germany.
  • H. Rahmani and C. Arnold:  Policy Clusters: Government’s Agenda Across Policies and Time. In: The 10th International conference on Beyond Databases Architectures and Structures (BDAS 2014).
  •  H. Rahmani and C. Arnold:  Policy Miner: From Oysters to Pearls. In: The 6th Annual conference of the Comparative Agendas Project (CAP 2013).
  • C. Arnold and H. Rahmani: Legislative dynamics in Ireland: The influence of public opinion and European legislation. In The 6th Annual conference of the Comparative Agendas Project (CAP 2013).
  • H. Rahmani, H. Blockeel and A. Bender:  Collaboration-based function prediction in protein-proein interaction networks. In: Proceedings of the  10th International Symposium on Advances in Intelligent Data Analysis: 318-327, Lecture Notes in Computer Science 7014 Springer (2011)
  • H. Rahmani, H. Blockeel and A. Bender: Interaction-Based Feature Selection for Predicting Cancer-Related Proteins in Protein-Protein Interaction Networks. In: Proceedings of the fifth International Workshop on Machine Learning in Systems Biology (MLSB 2011): 68-72, Vienna, Austria, July 20-21 (2011)
  • H. Rahmani, B. Piccart, H. Blockeel and D. Fierens: Three complementary approaches to context aware movie recommendation. In: Proceedings of the Workshop on Context-Aware Movie Recommendation: 57-60, ACM (2010)
  •  H. Blockeel, H. Rahmani and M. Witsenburg: On the importance of similarity measures for planning to learn. In: P. Brazdil, A. Bernstein & J. Kietz (Eds.), 19th European Conference on Artificial Intelligence, 3rd Planning to Learn workshop (PlanLeH.arn-2010): 69-74 (2010)
  • H. Rahmani, H. Blockeel and A. Bender: Collaboration based function prediction in protein-protein interaction networks. In: Proceedings of the 7th International Symposium on Networks in Bioinformatics (2010)
  • H. Rahmani, H. Blockeel and A. Bender: Collaboration-based function prediction in protein-protein interaction networks. In: European Conference on Computational Biology (2010)
  • H. Rahmani, H. Blockeel and A. Bender: Collaboration-based function prediction in protein-protein interaction networks. In: Machine Learning in Systems Biology: Proceedings of the Fourth International Workshop: 55-58 (2010)
  • H. Rahmani, B.Nobakht and H. Blockeel: Collaboration-based social tag prediction in the graph of annotated web pages DyNaK 2010: Dynamic Networks and Knowledge Discovery. In: DyNaK 2010: Dynamic Networks and Knowledge Discovery: 1-12 (2010)
  • S. Aliakbary, H. Abolhassani, H. Rahmani and B. Nobakht: Web Page Classification Using Social Tags. In: IEEE 2009 International Conference on Computational Science and Engineering: 588-593 (2009)
  • H. Rahmani, H. Blockeel and A. Bender: Predicting the functions of proteins in PPI networks from global information. In: Proceedings of the Third International Workshop on Machine Learning in Systems Biology: 85-94, Helsinki University Printing House (2009)
  •  H. Rahmani, H. Abolhassani: Composite Web Service Failure Recovery Considering User Non-Functional Requirements. In: 4th International Conference on Next Generation Web Services Practice. pp. 39-45 (2008)
  • H. Rahmani, G. R. Sani and H. Abolhassani: Automatic Web Service Composition considering User Non-Functional Preferences. In: 4th International Conference on Next Generation Web Services Practice,Seoul, Oct. 2008, pp. 33-38 (2008)
  • H. Rahmani: AI Planning Search Time and Space Reduction Technique for the Problem of Web Service Composition. In: First International symposium on search techniques in 
Artificial intelligence and robotics, (AAAI 2008)