{"id":9,"date":"2010-10-23T10:48:10","date_gmt":"2010-10-23T10:48:10","guid":{"rendered":"http:\/\/sina.sharif.edu\/~rabiee\/?page_id=9"},"modified":"2025-08-24T16:40:52","modified_gmt":"2025-08-24T16:40:52","slug":"experience","status":"publish","type":"page","link":"http:\/\/sina.sharif.edu\/~rabiee\/?page_id=9","title":{"rendered":"Publication"},"content":{"rendered":"

(Click Here for Updated List of Publications)<\/h4>\n

Selected Journals and Conferences:<\/span><\/strong><\/span><\/h4>\n
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  • Armin Behnamnia, Gholamali Aminian,\u00a0Alireza Aghaei,\u00a0Chengchun Shi,\u00a0Vincent Y. F. Tan,\u00a0Hamid<\/strong> R<\/strong>.\u00a0Rabiee,<\/strong> \u201cLog-Sum-Exponential Estimator for Off-Policy Evaluation and Learning,\u201d (Spotlight Paper), International Conference on Machine Learning\u00a0(ICML), 2025.<\/li>\n
  • Mojdeh\u00a0Nazari,\u00a0Hassan\u00a0Emami,\u00a0Reza\u00a0Rabiei,\u00a0Hamid R. Rabiee,<\/strong> Arsalan Salari, and Hossein Sadr, \u201cEnhancing Cardiac Function Assessment: Developing and Validating a Domain Adaptive Framework for Automating the Segmentation of Echocardiogram Videos,\u201d Computerized Medical Imaging and Graphics, 2025.<\/li>\n
  • Mohammadreza Doostmohammadian, Hamid R. Rabiee,<\/strong> \u201cMomentum-based accelerated algorithm for distributed optimization under sector-bound nonlinearity,\u201d Journal of the Franklin Institute, 2025.<\/li>\n
  • Mahta Fetrat Qharabagh, Zahra Dehghanian, Hamid R. Rabiee,<\/strong> \u201cManaTTS Persian: a recipe for creating TTS datasets for lower resource languages,\u201d The\u00a0North American Chapter of the Association for Computational Linguistics (NAACL), 2025.<\/li>\n
  • Mahta Fetrat Qharabagh, Zahra Dehghanian, Hamid R. Rabiee,<\/strong> \u201cLLM-Powered Grapheme-to-Phoneme Conversion: Benchmark and Case Study,\u201d IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.<\/li>\n
  • Maryam Ramezani, Mohammadreza Mobinizadeh, Ahad Bakhtiari, Alireza Olyaeemanesh, Hamid R. Rabiee,<\/strong> Alireza Atashi, Hakimeh Mostafavi, Saharnaz Sazgarnejad, Maryam Ramezani, Efat Mohamadi, Aliakbar Fazaeli, Amirhossein Takian, \u201cAgenda Setting for Health Equity Assessment through the lenses of Social Determinants of Health Using Machine Learning Approach: A Framework and Preliminary Pilot Study,\u201d BioData Mining, 2025.<\/li>\n
  • Mohammadreza Doostmohammadian, Muhammad I. Qureshi, Mohammad Hossein Khalesi, Hamid R. Rabiee,<\/strong> Usman A Khan, \u201cLog-Scale Quantization in Distributed First-Order Methods: Gradient-based Learning from Distributed Data,\u201d IEEE Transactions on Automation Science and Engineering (TASE), 2025.<\/li>\n
  • Mohammadreza Doostmohammadian, Zulfiya R. Gabidullina, Hamid R. Rabiee,<\/strong> \u201cMomentum-based distributed resource scheduling optimization subject to sector-bound nonlinearity and latency,\u201d Systems and Control Letters, 2025.<\/li>\n
  • Maryam Ramezani, Ahad Bakhtiari, Rajabali Daroudi, Mohammadreza Mobinizadeh, Ali Akbar Fazaeli, Alireza Olyaeemanesh, Hamid R. Rabiee,<\/strong> Maryam Ramezani, Hakimeh Mostafavi, Saharnaz Sazgarnejad, Sanaz Bordbar, and Amirhossein Takian, \u201cApplications of artificial intelligence and the challenges in health technology assessment: a scoping review and framework with a focus on economic dimensions,\u201d BMC Health Economics Review, 2025.<\/li>\n
  • Maryam Ramezani, Aryan Ahadinia, Erfan Farhadi, Hamid R. Rabiee,<\/strong> \u201cDANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property,\u201d Nature Scientific Reports, 2024.<\/li>\n
  • S. Fatemeh Seyyedsalehi, Mahdieh Soleymani, Hamid R. Rabiee<\/strong>, \u201cSOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models,\u201d The International Conference on Learning Representations (ICLR), 2024.<\/li>\n
  • Mohammad Taha Teimuri Jervakani, Zahra Dehghanian, Gholamali Aminian, Hamid R. Rabiee<\/strong>, \u201cKLCE: Regularized Imbalance Node-classification Via KL-divergence and Cross-Entropy,\u201d Tiny ICLR (The International Conference on Learning Representations), 2024.<\/li>\n
  • Ali Gharizadeh, Karim Abbasi, Amin Ghareyazi, Mohammad R.K. Mofrad, Hamid R. Rabiee<\/strong>, \u201cHGTDR: Advancing Drug Repurposing with Heterogeneous Graph Transformers,\u201d Bioinformatics, Accepted for publication, 2024.<\/li>\n
  • Karim Abbasi, Parvin Razzaghi, Amin Ghareyazi, Hamid R. Rabiee<\/strong>, \u201cPLA-SGCN: Protein-Ligand Binding Affinity Prediction by Integrating Similar Pairs and Semi-supervised Graph Convolutional Network,\u201d Oxford Briefings in Bioinformatics, Accepted for publication, 2024.<\/li>\n
  • Gita Sarafraz, Armin Behnamnia, Mehran Hosseinzadeh, Ali Balapour, Amin Meghrazi, Hamid R. Rabiee<\/strong>, \u201cDomain Adaptation and Generalization on Functional Medical Images: A Systematic Survey\u201d, ACM Computing Surveys, 2024.<\/li>\n
  • \n
    Mohammadreza Doostmohammadian, Alireza Aghasi, Maria Vrakopoulou, Hamid R. Rabiee<\/strong>, Usman A Khan, Themistoklis Charalambous, \u201cDistributed delay-tolerant strategies for equality-constraint sum-preserving resource allocation,\u201d Systems & Control Letters, (IF:2.74), 2023.<\/div>\n<\/li>\n
  • Z. Rahaei, Hamid R. Rabiee, H. Alinejad-Rokny, “DeepGenePrior: A deep learning model for Prioritizing genes affected by copy number variants,” PLOS Computational Biology, 19 (7), (IF:4.78), 2023.<\/li>\n
  • M. Ramezani, A. Ahadinia, AZ. Bideh, Hamid R. Rabiee<\/strong>, \u201cJoint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization,\u201d ACM Transactions on Knowledge Discovery from Data, (IF:4.16), 2023.<\/li>\n
  • N. Karimi, N. Valibeig, Hamid R. Rabiee<\/strong>, \u201cDeterioration Detection in Historical Buildings with Different Materials Based on Novel Deep Learning Methods with Focusing on Isfahan Historical Bridges,\u201d International Journal of Architectural Heritage, 1-13, (IF:3.0), 2023.<\/li>\n
  • F. Ghorbanpour, M. Ramezani, MA. Fazli, Hamid R. Rabiee<\/strong>, \u201cFNR: a similarity and transformer-based approach to detect multi-modal fake news in social media,\u201d Social Network Analysis and Mining, 13 (1), 56, (IF:2.8), 2023.<\/li>\n
  • Hamid Alinejad-Rokny, Rassa Ghavami Modegh, Hamid R. Rabiee<\/strong>, Narges Rezaie, Kin Tung Tam, Alistair R. R. Forrest, \u201cMaxHic: Robust Estimation of chromatin interaction frequency in Hi-C and capture Hi-C experiments,\u201d PLOS-Computational Biology, (IF:4.53),\u00a02022.<\/li>\n
  • Narges Rezaie, Masroor Bayati, Mehrab Hamidi, Maedeh Sadat Tahaei, Sadegh Khorasani, Nigel H. Lovell, James Breen, Hamid R. Rabiee<\/strong>, Hamid Alinejad-Rokny, \u201cSomatic point mutations are enriched in non-coding RNAs with possible regulatory function in breast cancer,\u201d Nature Communications Biology, (IF:5.489),\u00a02022.<\/li>\n
  • Hamed Dashti, Iman Dehzangi, Masroor Bayati, James Breen, Amin Beheshti, Nigel Lovell, Hamid R. Rabiee<\/strong>, Hamid Alinejad-Rokny, \u201cIntegrative\u00a0 analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer,\u201d Nature BMC Bioinformatics, (IF:3.169),\u00a02022.<\/li>\n
  • Mahsa\u00a0Ghorbani, Anees\u00a0Kazi, Mahdieh\u00a0Soleymani,\u00a0Hamid\u00a0R.\u00a0Rabiee<\/strong>, Nassir\u00a0Navab, \u201cRA-GCN: Graph Convolutional Network for\u00a0Disease Prediction Problems with Imbalanced Data,\u201d Medical Image Analysis (IF:8.545), 2022.<\/li>\n
  • Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad H. Rohban, Hamid R. Rabiee<\/strong>, \u201cMultiresolution Knowledge Distillation for Anomaly Detection,\u201d IEEE Computer Vision and Pattern Recognition, CVPR, 2021.<\/li>\n
  • Amir Najafi, Saeed Ilchi, Amir Hossein Saberi, Seyed Abolfazl Motahari, Babak H Khalaj, Hamid R. Rabiee<\/strong>, \u201cOn statistical learning of simplices: Unmixing problem revisited,\u201d The Annals of Statistics (IF:7.51), 2021.<\/li>\n
  • Mahsa\u00a0Ghorbani, Mojtaba\u00a0Bahrami, Anees\u00a0Kazi, Mahdieh\u00a0Soleymani, Hamid\u00a0R.\u00a0Rabiee<\/strong>, Nassir\u00a0Navab, \u201cGKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference,\u201d The 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021.<\/li>\n
  • Mohammadreza Salehi, Artin Arya, Barbod Pajum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad H. Rohban, Hamid R. Rabiee<\/strong>, \u201cARAE: Adversarially robust training of autoencoders improves novelty detection,\u201d Neural Networks (IF:7.197), 2021.<\/li>\n
  • Amin Ghareyazi, Amir Mohseni, Hamed Dashti, Amin Beheshti, Abdollah Dehzangi, Hamid R. Rabiee<\/strong>, Hamid Alinejad-Rokny, \u201cWhole-Genome Analysis of De Novo Somatic Point Mutations Reveals Novel Mutational Biomarkers in Pancreatic Cancer,\u201d Cancers (IF:6.126), 2021.<\/li>\n
  • Mojtaba Bahrami, Malosree Maitra, Corina Agy, Gustavo Turecki, Hamid R. Rabiee<\/strong>, and Yue Li, \u201cDeep feature extraction of single-cell transcriptomes by generative adversarial network,\u201d Oxford Bioinformatics (IF:6.937), 2021.<\/li>\n
  • Faezeh Faez, Yassaman Ommi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee<\/strong>, \u201cDeep Graph Generators: A Survey,\u201d IEEE Access (IF:3.367), 2021.<\/li>\n
  • Shahriar Ebrahimi, Reza Salkhordeh, Seyed Ali Osia, Ali Taheri, Hamid R. Rabiee<\/strong>, Hossein Asadi, \u201cRC-RNN: Reconfigurable Cache Architecture for Storage Systems Using Recurrent Neural Networks,\u201d IEEE Transactions on Emerging Topics in Computing (IF:6.043), 2021.<\/li>\n
  • Mohammadreza Doostmohammadian, Houman Zarrabi, Hamid R. Rabiee<\/strong>, Usman A. Khan, Themistoklis Charalambous, \u201cDistributed Detection and Mitigation of Biasing Attacks over Multi-Agent Networks,\u201d IEEE Transactions on Network Science and Engineering (IF:5.213), 2021.<\/li>\n
  • Seyyede Fatemeh Seyyedsalehi, Mahdieh Soleymanni Baghshah, Hamid R. Rabiee<\/strong>, Mohammad R. K. Mofrad, \u201cPFP-WGAN: Protein Function Prediction by Discovering Gene Ontology Term Correlations with Generative Adversarial Networks,\u201d PlOS One (IF: 3.24), 2021.<\/li>\n
  • Ali Khodadadi, Seyed Abbas Hosseini, Ehsan Pajouheshgar, Farnam Mansouri, and Hamid R. Rabiee<\/strong>, \u201cChOracle: A Unified Statistical Framework for Churn Prediction,\u201d IEEE Transactions on Knowledge and Data Engineering (IF:4.935), 2020.<\/li>\n
  • Masroor Bayati, Hamid R. Rabiee<\/strong>, Mehrdad Mehrbod, Fatemeh Vafaee, Diako Ebrahimi, Alistair Forrest, and Hamid Alinejad-Rokny, “CANCERSIGN: a user-friendly and robust tool for identification and classification of mutational signatures and patterns in cancer genomes,” Nature Scientific Reports (IF:5.133), 2020.<\/li>\n
  • Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh, Ali Taheri, Keliomenis Katevas, Hamid R. Rabiee<\/strong>, Nicholas Lane, Hamed Haddadi, “A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics, IEEE Internet of Things Journal (IF:12.37), 2020.<\/li>\n
  • Elham J Barezi, Ian D Wood, Pascale Fung, Hamid R Rabiee<\/strong>, “A Submodular Feature-Aware Framework for Label Subset Selection in Extreme Classification Problems,” Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019.<\/li>\n
  • Zeinab Golgooni, Sara Mirsadeghi, Mahdieh Soleymani Baghshah, Pedram Ataee, Hossein Baharvand, Sara Pahlavan, Hamid R. Rabiee<\/strong>, “Deep Learning Based Proarrhythmia Analysis Using Field Potentials Recorded from Human Pluripotent Stem Cells Derived Cardiomyocytes,” IEEE Journal of Translational Engineering in Health and Medicine (IF:2.53), 2019.<\/li>\n
  • M. R. Doostmohammadian, Hamid R. Rabiee<\/strong>, U. Khan, “Cyber-Social Systems: Modeling, Inference, and Optimal Design,” IEEE Systems Journal (IF:3.931), 2019.<\/li>\n
  • Seyed Abbas Hosseini, Ali Khodadadi, Keivan Alizadeh, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha and Hamid R. Rabiee<\/strong>, “Recurrent Poisson Factorization for Temporal Recommendation,” IEEE Transactions on Knowledge and Data Engineering (IF:4.935), 2018.<\/li>\n
  • Seyed Ali Osia, Ali Taheri, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Hamid R. Rabiee<\/strong>, “Deep Private-Feature Extraction,” IEEE Transactions on Knowledge and Data Engineering (IF:4.935), 2018.<\/li>\n
  • Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee<\/strong>, Manuel Gomez-Rodriguez, “Steering Social Activity: A Stochastic Optimal Control Point of View,” Journal of Machine Learning Research (JMLR) (IF:4.091), vol. 18, issue 205, 2018.<\/li>\n
  • Ali Zarezade, Sina Jafarzadeh, Hamid R Rabiee<\/strong>, “Recurrent spatio-temporal modeling of check-ins in location-based social networks,” PlOS One (IF:3.24), 2018.<\/li>\n
  • Seyed Ali Osia, Ali Shahin Shamsabadi, Ali Taheri, Hamid R Rabiee<\/strong>, Hamed Haddadi, “Private and Scalable Personal Data Analytics Using Hybrid Edge-to-Cloud Deep Learning,” IEEE Computer (IF: 3.564), 2018.<\/li>\n
  • Ali Khodadadi, Seyed Abbas Hosseini, Erfan Tavakoli, Hamid R. Rabiee<\/strong>, “Continuous-Time User Modeling in Presence of Badges: A Probabilistic Approach,” ACM Transactions on Knowledge Discovery from Data (TKDD) (IF:2.713), vol. 12, issue 3, 2018.<\/li>\n
  • Maryam Ramezani, Ali Khodadadi, Hamid R. Rabiee<\/strong>, “Community Detection Using Diffusion Information,” ACM Transactions on Knowledge Discovery from Data (TKDD) (IF:2.713), 2018.<\/li>\n
  • Hoda Ayatollahi, Mohammad Khansari, Hamid R. Rabiee<\/strong>, “A push-pull network coding protocol for live peer-to-peer streaming,” Computer Networks (IF:4.474), 2018.<\/li>\n
  • Hamidreza Mahyar, Rouzbeh Hasheminezhad, Elahe Ghalebi, Ali Nazemian, Radu Grosu, Ali Movaghar, Hamid R. Rabiee<\/strong>, ” Compressive sensing of high betweenness centrality nodes in networks,” Physica A: Statistical Mechanics and its Applications (IF:2.924), 2018.<\/li>\n
  • Hamidreza Mahyar, Rouzbeh Hasheminezhad, Elahe Ghalebi, Ali Nazemian, Radu Grosu, Ali Movaghar, Hamid R. Rabiee<\/strong>, “Identifying central nodes for information flow in social networks using compressive sensing,” Social Network Analysis and Mining (IF:3.87), vol. 8, issue 1, 2018.<\/li>\n
  • M.R. Doostmohammadian, Hamid R. Rabiee<\/strong>, H. Zarrabi, U. Khan, “Observational Equivalence in System Estimation: Contractions in Complex Networks,” IEEE Transactions on Network Science and Engineering (IF:5.213), 2018.<\/li>\n
  • M.R. Doostmohammadian, Hamid R. Rabiee<\/strong>, U. Khan, “Structural cost-optimal design of sensor networks for distributed estimation,” IEEE Signal Processing Letters (IF:3.105), 2018.<\/li>\n
  • Mohammadreza Doostmohammadian, Hamid R Rabiee<\/strong>, Houman Zarrabi, Usman A Khan,”Distributed Estimation Recovery Under Sensor Failure,” IEEE Signal Processing Letters (IF:3.105), 2017.<\/li>\n
  • Elham J Barezi, James T Kwok, Hamid R. Rabiee<\/strong>,”Multi-Label learning in the independent label sub-spaces,” Pattern Recognition Letters (IF:2.81), 2017.<\/li>\n
  • Seyyede Fatemeh Seyyedsalehi,\u00a0Hamid R. Rabiee<\/strong>,\u00a0Ali Soltani-Farani,\u00a0Ali Zarezade, “A Probabilistic Joint Sparse Regression Model for Semisupervised Hyperspectral Unmixing,” IEEE Geoscience and Remote Sensing Letters (IF:3.966), 2017.<\/li>\n
  • Eisa Zarepour,\u00a0Mohammadreza Hosseini,\u00a0Salil S. Kanhere,\u00a0Arcot Sowmya, and Hamid R. Rabiee<\/strong>, “Applications and Challenges of Wearable Visual Lifeloggers,” IEEE Computer (IF:3.564), 2017.<\/li>\n
  • Batoul Sarvi,\u00a0Hamid R. Rabiee<\/strong>,\u00a0Kiarash Mizanian, “An adaptive cross-layer error control protocol for wireless multimedia sensor networks,” Ad Hoc Networks (IF:4.111), 2017.<\/li>\n
  • S. Rastegar,, M. S. Baghshah, Hamid R. Rabiee<\/strong>, and S.M. Shojaee,\u00a0“MDL-CW: A Multimodal Deep Learning Framework with Cross Weights”, IEEE Computer Vision and Pattern Recognition, CVPR, 2016.<\/li>\n
  • Ali Fattaholmanan, and Hamid R. Rabiee<\/strong>, “A Large-Scale Active Measurement Study on the Effectiveness of Piece-Attack on BitTorrent Networks,” IEEE Transactions on Dependable Secure Computing (IF:6.404), 2016.<\/li>\n
  • Maryam Tahani, A. M. Afshin Hemmatyar, Hamid R. Rabiee<\/strong>, and Maryam Ramezani, “Inferring Dynamic Diffusion Networks in Online Media,” ACM Transactions on Knowledge Discovery from Data (IF:2.713), 2016.<\/li>\n
  • A. Soltani-Farani, Hamid R. Rabiee<\/strong>, and S. A. Hosseini, “Spatial-Aware Dictionary Learning for Hyperspectral Image Classification,” IEEE Transactions on Geoscience and Remote Sensing (IF: 5.60), 2015.<\/li>\n
  • A. Shaban, Hamid R. Rabiee<\/strong>, M. Najibi, and S. Yousefi, “From Local Similarities to Global Coding: A Framework for Coding Applications,” IEEE Transactions on Image Processing (IF: 9.34), 2A.<\/li>\n
  • Soltani-Farani and Hamid R. Rabiee<\/strong>, “When Pixels Team up: Spatially-Weighted Sparse Coding for Hyperspectral Image Classification,” IEEE Geoscience and Remote Sensing Letters (IF: 3.966), vol. 12, no. 1, pp. 107-111, 2015.<\/li>\n
  • A.Fattaholmanan, Hamid R. Rabiee<\/strong>, P. Siyari, and , “Peer to Peer Compressive Sensing for Network Monitoring,” IEEE Communication Letters (IF: 2.723), Issue 19, no. 1,\u00a0 pp. 38-41, 2015.<\/li>\n
  • A. Zarezade, Hamid R. Rabiee<\/strong>, A. Soltani-Farani, and A. Khajenezhad, “Patchwise Joint Sparse Tracking with Occlusion Detection,” IEEE Transactions on Image Processing (IF: 9.34), 2014.<\/span><\/li>\n
  • J. Muhammadi, Hamid R. Rabiee<\/strong>, and S. A. Hosseini, “A Unified Statistical Framework for Crowd Labeling,” Journal of Knowledge and Information Systems – KAIS (IF: 2.936), 2014.<\/li>\n
  • A. Shaban, Hamid R. Rabiee<\/strong>, M. Farajtabar, and M. Ghazvninejad, “From Local Similarity to Global Coding; An Application to Image Classification,” IEEE Computer Vision and Pattern Recognition, CVPR, 2013.<\/li>\n
  • M. Salehi, Hamid R. Rabiee<\/strong>, “A Measurement Framework for Directed Networks”, IEEE Journal of Selected Areas in Communications (JSAC) (IF: 7.172), Special Issue on Network Science, 2013.<\/li>\n
  • M. Salehi, Hamid R. Rabiee<\/strong>, and A. Rajabi, “Sampling from Complex Networks with High Community Structures,” Chaos: An Interdisciplinary Journal of Nonlinear Science (IF: 3.642), 2012.<\/li>\n
  • M.H. Rohban, Hamid R. Rabiee<\/strong>, “Supervised Neighborhood Graph Construction for Semi-Supervised Classification”, Pattern Recognition (IF: 7.196), 2012.<\/li>\n
  • H. Asheri, Hamid R. Rabiee<\/strong>, and M. H. Rohban, “Signal Extrapolation for Image and Video Error Concealment Using Gaussian Processes with Adaptive non-Stationary Kernels”, IEEE Signal Processing Letters (IF: 3.105), 2012.<\/li>\n
  • H. Asheri, Hamid R. Rabiee<\/strong>, N. Pourdamghani, and M. Ghanbari, “Multi-Directional Spatial Error Concealment Using Adaptive Edge Thresholding”, IEEE Transactions on Consumer Electronics (IF: 2.74), 2012.<\/li>\n
  • M. Amiri, and Hamid R. Rabiee<\/strong>, “RASIM: A Novel Rotation and Scale Invariant Matching of Local Image Interest Points,” IEEE Transactions on Image Processing (IF: 9.34), 2011.<\/li>\n<\/ul>\n
    <\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

    (Click Here for Updated List of Publications) Selected Journals and Conferences: Armin Behnamnia, Gholamali Aminian,\u00a0Alireza Aghaei,\u00a0Chengchun Shi,\u00a0Vincent Y. F. Tan,\u00a0Hamid R.\u00a0Rabiee, \u201cLog-Sum-Exponential Estimator for Off-Policy Evaluation and Learning,\u201d (Spotlight Paper), International Conference on Machine Learning\u00a0(ICML), 2025. Mojdeh\u00a0Nazari,\u00a0Hassan\u00a0Emami,\u00a0Reza\u00a0Rabiei,\u00a0Hamid R. Rabiee, Arsalan Salari, and Hossein Sadr, \u201cEnhancing Cardiac Function Assessment: Developing and Validating a Domain Adaptive Framework […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"http:\/\/sina.sharif.edu\/~rabiee\/index.php?rest_route=\/wp\/v2\/pages\/9"}],"collection":[{"href":"http:\/\/sina.sharif.edu\/~rabiee\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/sina.sharif.edu\/~rabiee\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/sina.sharif.edu\/~rabiee\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/sina.sharif.edu\/~rabiee\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9"}],"version-history":[{"count":159,"href":"http:\/\/sina.sharif.edu\/~rabiee\/index.php?rest_route=\/wp\/v2\/pages\/9\/revisions"}],"predecessor-version":[{"id":394,"href":"http:\/\/sina.sharif.edu\/~rabiee\/index.php?rest_route=\/wp\/v2\/pages\/9\/revisions\/394"}],"wp:attachment":[{"href":"http:\/\/sina.sharif.edu\/~rabiee\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}