| 2026 | ECIR | ReFormeR: Learning and Applying Explicit Query Reformulation Patterns. | Amin Bigdeli, Mert Incesu, Negar Arabzadeh, Charles L. A. Clarke, Ebrahim Bagheri |
| 2026 | ECIR | Adversarial Edge Perturbation Framework in Graph-Based Retrieval. | Amir Khosrojerdi, Radin Hamidi Rad, Ebrahim Bagheri |
| 2026 | ECIR | How Information Retrieval Systems Construct and Amplify Immigration Narratives. | Zarif Masud, Abhijit Paul, Syed Ishtiaque Ahmed, Ebrahim Bagheri |
| 2026 | ECIR | Structure-Aware Pre-retrieval Performance Prediction on Query Affinity Graphs. | Abbas Saleminezhad, Negar Arabzadeh, Seyed Mohammad Hosseini, Soosan Beheshti, Ebrahim Bagheri |
| 2026 | ICTIR | From Noise to Order: Learning to Rank via Denoising Diffusion. | Sajad Ebrahimi, Bhaskar Mitra, Negar Arabzadeh, Ye Yuan, Haolun Wu, Fattane Zarrinkalam, Ebrahim Bagheri |
| 2026 | WWW | QueryGym: A Toolkit for Reproducible LLM-Based Query Reformulation. | Amin Bigdeli, Radin Hamidi Rad, Mert Incesu, Negar Arabzadeh, Charles L. A. Clarke, Ebrahim Bagheri |
| 2026 | WWW | PeeriScope: A Multi-Faceted Framework for Evaluating Peer Review Quality. | Sajad Ebrahimi, Soroush Sadeghian, Ali Ghorbanpour, Negar Arabzadeh, Sara Salamat, Seyed Mohammad Hosseini, Hai Son Le, Mahdi Bashari, Ebrahim Bagheri |
| 2026 | WWW | Graph Poisoning for Node Rank Manipulation. | Seyed Mohammad Hosseini, Radin Hamidi Rad, Morteza Zihayat, Ebrahim Bagheri |
| 2026 | WWW | Decentralized in Name Only: The Centralization of DAO Labor. | Lingling Zhang, Morteza Zihayat, Ebrahim Bagheri |
| 2026 | SIGIR | From Doxa to Logos in Scientific Peer Review. | Negar Arabzadeh, Sajad Ebrahimi, Alireza DaghighFarsoodeh, Soroush Sadeghian, Seyed Mohammad Hosseini, Hai Son Le, Mahdi Bashari, Ebrahim Bagheri |
| 2026 | SIGIR | A Reproducibility Study of LLM-Based Query Reformulation. | Amin Bigdeli, Radin Hamidi Rad, Hai Son Le, Mert Incesu, Negar Arabzadeh, Charles L. A. Clarke, Ebrahim Bagheri |
| 2026 | SIGIR | Peerispect: Claim Verification in Scientific Peer Reviews. | Ali Ghorbanpour, Soroush Sadeghian, Alireza DaghighFarsoodeh, Sajad Ebrahimi, Negar Arabzadeh, Seyed Mohammad Hosseini, Ebrahim Bagheri |
| 2026 | SIGIR | Failing Forward: Understanding Query Failure in Retrieval, Judgment, and Generation. | Seyed Mohammad Hosseini, Negar Arabzadeh, Mohammad Hossein Saliminabi, Dimitrios Androutsos, Morteza Zihayat, Ebrahim Bagheri |
| 2026 | SIGIR | Refairmulate: A Large-Scale Dataset for Gender-Fair Query Reformulations. | Hai Son Le, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri |
| 2026 | SIGIR | PeerPrism: Peer Evaluation Expertise vs Review-writing AI. | Soroush Sadeghian, Alireza DaghighFarsoodeh, Radin Cheraghi, Sajad Ebrahimi, Negar Arabzadeh, Ebrahim Bagheri |
| 2026 | SIGIR | LearnDCG: End-to-End Joint Optimization of Ranker and Loss in Neural Ranking. | Mohammad Hossein Saliminabi, Dimitrios Androutsos, Ebrahim Bagheri |
| 2026 | WSDM | Can LLMs Uphold Research Integrity? Evaluating the Role of LLMs in Peer Review Quality. | Negar Arabzadeh, Sajad Ebrahimi, Soroush Sadeghian, Seyed Mohammad Hosseini, Alireza Daqiq, Hai Son Le, Mahdi Bashari, Ebrahim Bagheri |
| 2026 | WSDM | Self-Paced Fair Ranking with Loss as a Proxy for Bias. | Shirin Seyedsalehi, Hai Son Le, Morteza Zihayat, Ebrahim Bagheri |
| 2025 | CIKM | Building Trustworthy Peer Review Quality Assessment Systems. | Negar Arabzadeh, Sajad Ebrahimi, Ali Ghorbanpour, Soroush Sadeghian, Sara Salamat, Muhan Li, Hai Son Le, Mahdi Bashari, Ebrahim Bagheri |
| 2025 | CIKM | RottenReviews: Benchmarking Review Quality with Human and LLM-Based Judgments. | Sajad Ebrahimi, Soroush Sadeghian, Ali Ghorbanpour, Negar Arabzadeh, Sara Salamat, Muhan Li, Hai Son Le, Mahdi Bashari, Ebrahim Bagheri |
| 2025 | CIKM | Datasets for Supervised Adversarial Attacks on Neural Rankers. | Amir Khosrojerdi, Amin Bigdeli, Radin Hamidi Rad, Morteza Zihayat, Charles L. A. Clarke, Ebrahim Bagheri |
| 2025 | CIKM | LLM-as-a-Judge in Entity Retrieval: Assessing Explicit and Implicit Relevance. | Mohammad Hossein Saliminabi, Negar Arabzadeh, Seyed Mohammad Hosseini, Dimitrios Androutsos, Morteza Zihayat, Ebrahim Bagheri |
| 2025 | ECIR | Retrieval-Augmented Neural Team Formation. | Mohammad Dara, Radin Hamidi Rad, Fattane Zarrinkalam, Ebrahim Bagheri |
| 2025 | ECIR | exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem. | Sajad Ebrahimi, Sara Salamat, Negar Arabzadeh, Mahdi Bashari, Ebrahim Bagheri |
| 2025 | ECIR | Benchmarking Prompt Sensitivity in Large Language Models. | Amir Hossein Razavi, Mina Soltangheis, Negar Arabzadeh, Sara Salamat, Morteza Zihayat, Ebrahim Bagheri |
| 2025 | KDD | Responsible AI Day. | Ebrahim Bagheri, Faezeh Ensan, Calvin Hillis, Reihaneh Rabbany, Robin Cohen, Benjamin C. M. Fung, Sbastien Gambs |
| 2025 | SIGIR | VAP3: Variation-Aware Prompt Performance Prediction. | Negar Arabzadeh, Ebrahim Bagheri |
| 2025 | SIGIR | ROKSANA: An Open-Source Toolkit for Robust Graph-Based Keyword Search. | Radin Hamidi Rad, Amir Khosrojerdi, Ebrahim Bagheri |
| 2025 | SIGIR | Bias-Aware Curriculum Sampling For Fair Ranking. | Shirin Seyedsalehi, Hai Son Le, Morteza Zihayat, Ebrahim Bagheri |
| 2025 | SIGIR | Reinforcement Learning for Effective Few-Shot Ranking. | Shiva Soleimany, Sajad Ebrahimi, Shirin Seyedsalehi, Fattane Zarrinkalam, Ebrahim Bagheri |
| 2025 | WSDM | Query Performance Prediction: Theory, Techniques and Applications. | Negar Arabzadeh, Chuan Meng, Mohammad Aliannejadi, Ebrahim Bagheri |
| 2024 | CIKM | Reviewerly: Modeling the Reviewer Assignment Task as an Information Retrieval Problem. | Negar Arabzadeh, Sajad Ebrahimi, Sara Salamat, Mahdi Bashari, Ebrahim Bagheri |
| 2024 | CIKM | Enhanced Retrieval Effectiveness through Selective Query Generation. | Seyed Mohammad Hosseini, Negar Arabzadeh, Morteza Zihayat, Ebrahim Bagheri |
| 2024 | ECIR | LaQuE: Enabling Entity Search at Scale. | Negar Arabzadeh, Amin Bigdeli, Ebrahim Bagheri |
| 2024 | ECIR | Query Performance Prediction: From Fundamentals to Advanced Techniques. | Negar Arabzadeh, Chuan Meng, Mohammad Aliannejadi, Ebrahim Bagheri |
| 2024 | ECIR | Learning to Jointly Transform and Rank Difficult Queries. | Amin Bigdeli, Negar Arabzadeh, Ebrahim Bagheri |
| 2024 | ECIR | Estimating Query Performance Through Rich Contextualized Query Representations. | Sajad Ebrahimi, Maryam Khodabakhsh, Negar Arabzadeh, Ebrahim Bagheri |
| 2024 | ECIR | Context-Aware Query Term Difficulty Estimation for Performance Prediction. | Abbas Saleminezhad, Negar Arabzadeh, Soosan Beheshti, Ebrahim Bagheri |
| 2023 | CIKM | Noisy Perturbations for Estimating Query Difficulty in Dense Retrievers. | Negar Arabzadeh, Radin Hamidi Rad, Maryam Khodabakhsh, Ebrahim Bagheri |
| 2023 | CIKM | Neural Disentanglement of Query Difficulty and Semantics. | Sara Salamat, Negar Arabzadeh, Shirin Seyedsalehi, Amin Bigdeli, Morteza Zihayat, Ebrahim Bagheri |
| 2023 | ECIR | De-biasing Relevance Judgements for Fair Ranking. | Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Bhaskar Mitra, Morteza Zihayat, Ebrahim Bagheri |
| 2023 | ECIR | Understanding and Mitigating Gender Bias in Information Retrieval Systems. | Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri |
| 2023 | ECIR | Don't Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments. | Sara Salamat, Negar Arabzadeh, Amin Bigdeli, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri |
| 2023 | ECIR | Learning Query-Space Document Representations for High-Recall Retrieval. | Sara Salamat, Negar Arabzadeh, Fattane Zarrinkalam, Morteza Zihayat, Ebrahim Bagheri |
| 2023 | ECIR | Neural Ad-Hoc Retrieval Meets Open Information Extraction. | Duc-Thuan Vo, Fattane Zarrinkalam, Ba Pham, Negar Arabzadeh, Sara Salamat, Ebrahim Bagheri |
| 2023 | SIGIR | Quantifying Ranker Coverage of Different Query Subspaces. | Negar Arabzadeh, Amin Bigdeli, Radin Hamidi Rad, Ebrahim Bagheri |
| 2022 | CIKM | PyDHNet: A Python Library for Dynamic Heterogeneous Network Representation Learning and Evaluation. | Hoang Nguyen, Radin Hamidi Rad, Ebrahim Bagheri |
| 2022 | ECIR | A Light-Weight Strategy for Restraining Gender Biases in Neural Rankers. | Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri |
| 2022 | EDBT | A Neural Approach to Forming Coherent Teams in Collaboration Networks. | Radin Hamidi Rad, Shirin Seyedsalehi, Mehdi Kargar, Morteza Zihayat, Ebrahim Bagheri |
| 2022 | EDBT | Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases. | Shirin Seyedsalehi, Amin Bigdeli, Negar Arabzadeh, Bhaskar Mitra, Morteza Zihayat, Ebrahim Bagheri |
| 2022 | WWW | MAISoN'22: 8th International Workshop on Mining Actionable Insights from Social Networks Special Edition on Mental Health and Social Media. | Ebrahim Bagheri, Diana Inkpen, Christopher C. Yang, Fattane Zarrinkalam |
| 2022 | SIGIR | Gender Fairness in Information Retrieval Systems. | Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri |
| 2022 | SIGIR | Addressing Gender-related Performance Disparities in Neural Rankers. | Shirin Seyedsalehi, Amin Bigdeli, Negar Arabzadeh, Morteza Zihayat, Ebrahim Bagheri |
| 2021 | CIKM | Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation. | Negar Arabzadeh, Amin Bigdeli, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri |
| 2021 | CIKM | BERT-QPP: Contextualized Pre-trained transformers for Query Performance Prediction. | Negar Arabzadeh, Maryam Khodabakhsh, Ebrahim Bagheri |
| 2021 | CIKM | MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries. | Negar Arabzadeh, Bhaskar Mitra, Ebrahim Bagheri |
| 2021 | CIKM | Collaborative Experts Discovery in Social Coding Platforms. | Roohollah Etemadi, Morteza Zihayat, Kuan Feng, Jason Adelman, Ebrahim Bagheri |
| 2021 | CIKM | OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning. | Roohollah Etemadi, Morteza Zihayat, Kuan Feng, Jason Adelman, Ebrahim Bagheri |
| 2021 | CIKM | PyTFL: A Python-based Neural Team Formation Toolkit. | Radin Hamidi Rad, Aabid Mitha, Hossein Fani, Mehdi Kargar, Jaroslaw Szlichta, Ebrahim Bagheri |
| 2021 | ECIR | Query Performance Prediction Through Retrieval Coherency. | Negar Arabzadeh, Amin Bigdeli, Morteza Zihayat, Ebrahim Bagheri |
| 2021 | ECIR | Exploring Gender Biases in Information Retrieval Relevance Judgement Datasets. | Amin Bigdeli, Negar Arabzadeh, Morteza Zihayat, Ebrahim Bagheri |
| 2021 | ECIR | An Extensible Toolkit of Query Refinement Methods and Gold Standard Dataset Generation. | Hossein Fani, Mahtab Tamannaee, Fattane Zarrinkalam, Jamil Samouh, Samad Paydar, Ebrahim Bagheri |
| 2021 | ICWSM | The 6th InternationalWorkshop on Mining Actionable Insights from Social Networks (MAISoN 2021): Special Edition on Healthcare Social Analytics. | Ebrahim Bagheri, Diana Inkpen, Christopher C. Yang, Fattane Zarrinkalam |
| 2021 | SIGIR | On the Orthogonality of Bias and Utility in Ad hoc Retrieval. | Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri |
| 2021 | SIGIR | Retrieving Skill-Based Teams from Collaboration Networks. | Radin Hamidi Rad, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta |
| 2020 | AI | From Explicit to Implicit Entity Linking: A Learn to Rank Framework. | Hawre Hosseini, Ebrahim Bagheri |
| 2020 | CIKM | The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020): Special Edition on Dis/Misinformation Mining from Social media. | Ebrahim Bagheri, Huan Liu, Kai Shu, Fattane Zarrinkalam |
| 2020 | CIKM | Learning to Form Skill-based Teams of Experts. | Radin Hamidi Rad, Hossein Fani, Mehdi Kargar, Jaroslaw Szlichta, Ebrahim Bagheri |
| 2020 | CIKM | ReQue: A Configurable Workflow and Dataset Collection for Query Refinement. | Mahtab Tamannaee, Hossein Fani, Fattane Zarrinkalam, Jamil Samouh, Samad Paydar, Ebrahim Bagheri |
| 2020 | CIKM | Mining User Interests from Social Media. | Fattane Zarrinkalam, Guangyuan Piao, Stefano Faralli, Ebrahim Bagheri |
| 2020 | ECIR | Neural Embedding-Based Metrics for Pre-retrieval Query Performance Prediction. | Negar Arabzadeh, Fattane Zarrinkalam, Jelena Jovanovic, Ebrahim Bagheri |
| 2020 | ECIR | A Latent Model for Ad Hoc Table Retrieval. | Ebrahim Bagheri, Feras N. Al-Obeidat |
| 2020 | ECIR | Temporal Latent Space Modeling for Community Prediction. | Hossein Fani, Ebrahim Bagheri, Weichang Du |
| 2020 | SIGIR | Vis-Trec: A System for the In-depth Analysis of trec_eval Results. | Mahtab Tamannaee, Negar Arabzadeh, Ebrahim Bagheri |
| 2019 | CIKM | Geometric Estimation of Specificity within Embedding Spaces. | Negar Arabzadeh, Fattane Zarrinkalam, Jelena Jovanovic, Ebrahim Bagheri |
| 2019 | ECIR | Relationship Prediction in Dynamic Heterogeneous Information Networks. | Amin Milani Fard, Ebrahim Bagheri, Ke Wang |
| 2019 | ECIR | Extracting Temporal Event Relations Based on Event Networks. | Duc-Thuan Vo, Ebrahim Bagheri |
| 2019 | ICTIR | MAISoN 2019: The 3rd International Workshop on Mining Actionable Insights from Social Networks. | Marcelo Gabriel Armentano, Ebrahim Bagheri, Julia Kiseleva, Frank W. Takes |
| 2019 | KDD | Social User Interest Mining: Methods and Applications. | Fattane Zarrinkalam, Hossein Fani, Ebrahim Bagheri |
| 2019 | SIGIR | Extracting, Mining and Predicting Users' Interests from Social Networks. | Fattane Zarrinkalam, Hossein Fani, Ebrahim Bagheri |
| 2018 | CIKM | Causal Dependencies for Future Interest Prediction on Twitter. | Negar Arabzadeh, Hossein Fani, Fattane Zarrinkalam, Ahmed Navivala, Ebrahim Bagheri |
| 2018 | CIKM | Impact of Document Representation on Neural Ad hoc Retrieval. | Ebrahim Bagheri, Faezeh Ensan, Feras N. Al-Obeidat |
| 2018 | CIKM | Predicting Personal Life Events from Streaming Social Content. | Maryam Khodabakhsh, Hossein Fani, Fattane Zarrinkalam, Ebrahim Bagheri |
| 2018 | ECIR | Stopword Detection for Streaming Content. | Hossein Fani, Masoud Bashari, Fattane Zarrinkalam, Ebrahim Bagheri, Feras N. Al-Obeidat |
| 2018 | ECIR | Topic-Association Mining for User Interest Detection. | Anil Kumar Trikha, Fattane Zarrinkalam, Ebrahim Bagheri |
| 2018 | EDBT | Point-of-Interest Recommendation Using Heterogeneous Link Prediction. | Alireza Pourali, Fattane Zarrinkalam, Ebrahim Bagheri |
| 2017 | ADMA | Location-Aware Human Activity Recognition. | Tam T. Nguyen, Daniel Fernandez, Quy T. K. Nguyen, Ebrahim Bagheri |
| 2017 | AI | Matrix Models with Feature Enrichment for Relation Extraction. | Duc-Thuan Vo, Ebrahim Bagheri |
| 2017 | CIKM | An Empirical Study of Embedding Features in Learning to Rank. | Faezeh Ensan, Ebrahim Bagheri, Amal Zouaq, Alexandre Kouznetsov |
| 2017 | CIKM | Temporally Like-minded User Community Identification through Neural Embeddings. | Hossein Fani, Ebrahim Bagheri, Weichang Du |
| 2017 | ECIR | Predicting Users' Future Interests on Twitter. | Fattane Zarrinkalam, Hossein Fani, Ebrahim Bagheri, Mohsen Kahani |
| 2017 | WSDM | Document Retrieval Model Through Semantic Linking. | Faezeh Ensan, Ebrahim Bagheri |
| 2017 | WSDM | Mining Actionable Insights from Social Networksat WSDM 2017. | Faezeh Ensan, Zeinab Noorian, Ebrahim Bagheri |
| 2017 | SPLC | Self-healing in Service Mashups Through Feature Adaptation. | Mahdi Bashari, Ebrahim Bagheri, Weichang Du |
| 2016 | AI | Time-Sensitive Topic-Based Communities on Twitter. | Hossein Fani, Fattane Zarrinkalam, Ebrahim Bagheri, Weichang Du |
| 2016 | ECIR | Inferring Implicit Topical Interests on Twitter. | Fattane Zarrinkalam, Hossein Fani, Ebrahim Bagheri, Mohsen Kahani |
| 2016 | ICSR | Automated Composition of Service Mashups Through Software Product Line Engineering. | Mahdi Bashari, Ebrahim Bagheri, Weichang Du |
| 2016 | SAC | Quality-centric feature model configuration using goal models. | Mahdi Noorian, Ebrahim Bagheri, Weichang Du |
| 2015 | CaiSE | Process Fragmentation: An Ontological Perspective. | Asef Pourmasoumi, Mohsen Kahani, Ebrahim Bagheri, Mohsen Asadi |
| 2015 | CaiSE | On Business Process Variants Generation. | Asef Pourmasoumi, Mohsen Kahani, Ebrahim Bagheri, Mohsen Asadi |
| 2015 | DEXA | Quality Metrics for Linked Open Data. | Behshid Behkamal, Mohsen Kahani, Ebrahim Bagheri |
| 2015 | DEXA | Filtering Inaccurate Entity Co-references on the Linked Open Data. | John Cuzzola, Ebrahim Bagheri, Jelena Jovanovic |
| 2015 | ICTAI | Lexical Semantic Relatedness for Twitter Analytics. | Yue Feng, Hossein Fani, Ebrahim Bagheri, Jelena Jovanovic |
| 2015 | SEKE | An Ontology for Describing Security Events. | Hossein Fani, Ebrahim Bagheri |
| 2014 | SEKE | From Intentions to Decisions: Understanding Stakeholders' Objectives in Software Product Line Configuration. | Mahdi Noorian, Ebrahim Bagheri, Weichang Du |
| 2013 | EDOC | Message from VORTE 2013 Workshop Chairs. | Amal Zouaq, Ebrahim Bagheri, Renata S. S. Guizzardi |
| 2013 | SPLC | Engineering self-adaptive systems and dynamic software product line. | Mahdi Bashari, Ebrahim Bagheri |
| 2012 | CaiSE | Evolutionary Search-Based Test Generation for Software Product Line Feature Models. | Faezeh Ensan, Ebrahim Bagheri, Dragan Gasevic |
| 2012 | SEKE | Non-functional Properties in Software Product Lines: A Taxonomy for Classification. | Mahdi Noorian, Ebrahim Bagheri, Weichang Du |
| 2012 | SPLC | Requirements engineering in feature oriented software product lines: an initial analytical study. | Mohsen Asadi, Ebrahim Bagheri, Bardia Mohabbati, Dragan Gasevic |
| 2012 | SPLC | Automated planning for feature model configuration based on functional and non-functional requirements. | Samaneh Soltani, Mohsen Asadi, Dragan Gasevic, Marek Hatala, Ebrahim Bagheri |
| 2011 | ICMLA | Fault Detection through Sequential Filtering of Novelty Patterns. | John Cuzzola, Dragan Gasevic, Ebrahim Bagheri |
| 2011 | ICSOC | A Quality Aggregation Model for Service-Oriented Software Product Lines Based on Variability and Composition Patterns. | Bardia Mohabbati, Dragan Gasevic, Marek Hatala, Mohsen Asadi, Ebrahim Bagheri, Marko Boskovic |
| 2011 | SAC | Goal-driven software product line engineering. | Mohsen Asadi, Ebrahim Bagheri, Dragan Gasevic, Marek Hatala, Bardia Mohabbati |
| 2011 | SAC | Consolidating multiple requirement specifications through argumentation. | Ebrahim Bagheri, Faezeh Ensan |
| 2011 | SAC | Conditional preferences in software stakeholders' judgments. | Ivana Ognjanovic, Dragan Gasevic, Ebrahim Bagheri, Mohsen Asadi |
| 2011 | SEKE | Machine Learning-based Software Testing: Towards a Classification Framework. | Mahdi Noorian, Ebrahim Bagheri, Weichang Du |
| 2010 | AI | Automatic Discovery of Network Applications: A Hybrid Approach. | Mahbod Tavallaee, Wei Lu, Ebrahim Bagheri, Ali A. Ghorbani |
| 2010 | MODELS | Aspect-Oriented Feature Models. | Marko Boskovic, Gunter Mussbacher, Ebrahim Bagheri, Daniel Amyot, Dragan Gasevic, Marek Hatala |
| 2010 | SAC | Evidential reasoning for the treatment of incoherent terminologies. | Ebrahim Bagheri, Faezeh Ensan |
| 2010 | SAC | A framework for handling revisions in distributed ontologies. | Faezeh Ensan, Ebrahim Bagheri |
| 2010 | SPLC | Stratified Analytic Hierarchy Process: Prioritization and Selection of Software Features. | Ebrahim Bagheri, Mohsen Asadi, Dragan Gasevic, Samaneh Soltani |
| 2010 | SPLC | Configuring Software Product Line Feature Models Based on Stakeholders' Soft and Hard Requirements. | Ebrahim Bagheri, Tommaso Di Noia, Azzurra Ragone, Dragan Gasevic |
| 2009 | AI | An Iterative Hybrid Filter-Wrapper Approach to Feature Selection for Document Clustering. | Mohammad-Amin Jashki, Majid Makki, Ebrahim Bagheri, Ali A. Ghorbani |
| 2008 | AI | A Belief-Theoretic Reputation Estimation Model for Multi-context Communities. | Ebrahim Bagheri, M. Barouni-Ebrahimi, Reza Zafarani, Ali A. Ghorbani |
| 2008 | AI | A Frequency Mining-Based Algorithm for Re-ranking Web Search Engine Retrievals. | M. Barouni-Ebrahimi, Ebrahim Bagheri, Ali A. Ghorbani |
| 2008 | ECSA | Automating Architecture Trade-Off Decision Making through a Complex Multi-attribute Decision Process. | Majid Makki, Ebrahim Bagheri, Ali A. Ghorbani |
| 2007 | OOPSLA | A proposal for taming uncertainty in the collaborative conceptual model development process. | Ebrahim Bagheri |
| 2007 | OOPSLA | A framework for distributed collaborative conceptual model development. | Ebrahim Bagheri, Ali A. Ghorbani |
| 2006 | ICCS | FACT: A New Fuzzy Adaptive Clustering Technique. | Faezeh Ensan, Mohammad Hossien Yaghmaee, Ebrahim Bagheri |
| 2006 | ISCC | Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm. | Ebrahim Bagheri, Hossein Deldari |
| 2006 | ISCC | FACT: A New Fuzzy Adaptive Clustering Technique. | Faezeh Ensan, Mohammad Hossien Yaghmaee, Ebrahim Bagheri |
| 2006 | PST | Behavior analysis through reputation propagation in a multi-context environment. | Ebrahim Bagheri, Ali A. Ghorbani |
| 2006 | PST | Towards an MDA-oriented UML profile for critical infrastructure modeling. | Ebrahim Bagheri, Ali A. Ghorbani |
| 2005 | HPCC | A Novel Resource Dissemination and Discovery Model for Pervasive Environments Using Mobile Agents. | Ebrahim Bagheri, Mahmood Naghibzadeh, Mohsen Kahani |