Publication



  • 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.
  • Sina Ziaee, H.Rahmani, Mina Tabatabaei, Anna H. C. Vlot2 and Andreas Bender, DCGG: drug combination prediction using GNN and GAE. to be published In: Progress in Artificial Intelligence, 2024.
  • Sajjad Alizadeh Fard and H.Rahmani, X-SHAoLIM: Novel Feature Selection Framework for Credit Card Fraud Detection. to be published In: Journal of Artificial Intelligence and Data Mining (JAIDM), 2024.
  • Mina Tabatabaei, H.Rahmani and Motahare Nasiri, DcDiRNeSa: Drug combination prediction by integrating dimension reduction and negative sampling techniques. to be published In: Journal of Artificial Intelligence and Data Mining (JAIDM), 2023.
  • Mohammad Nazari, H.Rahmani, Dadfar Momeni and Motahare Nasiri, MoGaL: Novel Movie Graph Construction by Applying LDA on Subtitle. to be published In: Journal of Artificial Intelligence and Data Mining (JAIDM), 2023.
  • M. Nasiri, H. Rahmani, DENOVA: Predicting Five-Factor Model using deep learning based on ANOVA. to be published In: Journal of AI and Data Mining, 2021.
  • D. Javdani, H. Rahmani, G. Weiss: SeMBlock: a semantic-aware meta-blocking approach for entity resolution. to be published In: Intelligent Decision Technologies, 2021.
  • M. Allahgholi, H. Rahmani, Z. Sadeghi Adl, D. Javdani and A. Bender: DDREL: From Drug-Drug RELationships to drug repurposing. to be published In: Intelligent Data Analysis, 2021.
  • Fatemeh Karimkhani, H. Rahmani, Arezoo Zare, Raana Sahebnassagh and Kiarash Aghakasiri: Tarvajeh: Word association norms for Persian words. In: Journal of Psycholinguistic Research, 2020.
  • P. Golshanrad, H. Rahmani, B. Karimian, F. Karimkhani and G. Weiss: MEGA: Predicting the Best Classifier Combination Using Meta-Learning and a Genetic Algorithm. In: Intelligent Data Analysis journal, 2020.
  • M. Allahgholi, H. Rahmani, D. Javdani, G. Weiss and D. Módos: ADDI: Recommending Alternatives for Drug-Drug Interactions with negative health effects. In: Computers in Biology and Medicine, 2020.
  • H. Bashiri, H. Rahmani, V. Bashiri, D. Módos and A. Bender: EMDIP: An Entropy Measure to Discover Important Proteins in PPI networks. In: Computers in Biology and Medicine, 2020.
  • H. Kamali, H. Rahmani, and H Shah-Hosseini: DINGA: A genetic-algorithm-based method for finding important nodes in social networks. In: Journal of AI and Data Mining (JAIDM 2020).
  • R. Mahdavi, S. Fatehi and H. Rahmani: Predicting the Infertility Treatment Method Using Ensemble Methods and Outlier Analysis. In: Journal of Health Information Management (HIM 2019). Tehran Iran.
  • B. Ranjbar-Sahraeia, H. Rahmani, G. Weiss and K. Tuyls: Distant Supervision of Relation Extraction in Sparse Data . Intelligent Data Analysis journal. To be appeared on Volume 23(5), 2019.
  • V. Bashiri, H. Rahmani, and H. Bashiri: Discovering Important Nodes in Social Networks Using Entropy Measure. In: International Journal on Web Research, Vol. 1, No. 1, October-December 2018.
  • 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).
  • Mohamad Mahdi Yadegar, H.Rahmani, Parinaz Soltanzadeh and Asieh Bagheri: Investigating balancing methods in financial fraud detection by using ensemble methods. In: The 6th National Conference on New Technologies in Electrical and Computer Engineering. Isfahan Iran.
  • Mohammad Aqajani, H.Rahmani, Seyed Navid Mousavizadeh and Ali Fata: Forecasting trends in social networks using context-aware recommendation techniques. In: The 6th National Conference on New Technologies in Electrical, Computer and Mechanical Engineering of Iran. Tehran Iran.
  • Sajjad Alizadeh, H.Rahmani, Milad Allahgholi and Mojtaba Abtahi: ANOLISH: Novel feature selection framework in financial fraud detection by using of interpretable methods. In: The 6th National Conference on New Technologies in Electrical, Computer and Mechanical Engineering of Iran. Tehran Iran.
  • Mojtaba Abtahi, H.Rahmani, Milad Allahgholi and Sajjad Alizadeh: ENIXMA: ENsemble of EXplainable Methods for detecting network Attacks. In: 9th International Conference on Web Research (ICWR2023). Tehran Iran.
  • Zahra Akhgari, H.Rahmani and Marzieh Malekimajd: Sem-TED: Semantic Twitter Event Detection and Adapting with News Stories. In: 8th International Conference on Web Research (ICWR2022). Tehran Iran.
  • Seyyed Sina Ziaee, H.Rahmani and Mina Tabatabaei: Dcomg: Drug Combination Prediction by Applying Gnns on DDI Node2vec Features. In: 8th International Conference on Web Research (ICWR2022). Tehran Iran.
  • Zahra Akhgari, H.Rahmani and Marzieh Malekimajd: TedGram: Twitter Event Detection using Graph-Based Methods. In: 8th International Conference on Web Research (ICWR2022). Tehran Iran.
  • Dadfar Momeni, H.Rahmani and Mohammad Nazari: Constructing and analyzing movie similarity graph based on topical analysis of movie subtitles. In: 8th International Conference on Web Research (ICWR2022). Tehran Iran.
  • Elham Rezaei, H.Rahmani and Elham Ashraf: Optimization of average travel time of passengers in Tehran metro using data mining methods. In: 7th International Conference on Web Research (ICWR2021). Tehran Iran.
  • H.Rahmani, Sadegh Mahboobi, Taha Abachi and M. Allahgholi: GISS: Predicting Gambling IPGs using novel Semi-supervised Similarity measure. In: ninth Annual Conference on Electronic Banking and Payment Systems. Tehran Iran.
  • M. Allahgholi, H. Rahmani and F. Karimkhani: Rabi: Extracting Relations between Symptoms and Diseases using Deep Learning. In: Fifth National Conference on Iran's Computer Engineering and BlockChain. Tehran Iran.
  • M. Kaviani, H. Rahmani: EmHash: Hashtag Recommendation using Neural Network based on BERT Embedding. In: Sixth International Conference on Web Research (ICWR 2020). Tehran Iran.
  • A. Zare, H. Rahmani: The Sentiment Analysis of Word Association and its comparison with Twitter Hashtags. In: Sixth Iranian Congress on Electrical and Computer Engineering (2019). Tehran Iran.
  • D. Javdani, H. Rahmani, M. Allahgholi, F. Karimkhani: DEEP BLOCK: A Novel Approach for Entity Resolution using Deep Learning. In: Fifth International Conference on Web Research (ICWR 2019). Tehran Iran.
  • H. Kamali, H. Rahmani, and H. Shah-Hosseini: DINGA: Discovery of Important Nodes in social networks using Genetic Algorithms. In: Third International Conference on Web Research (ICWR 2017). Tehran Iran.
  • 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)