Publications

Here is a short list of my publications, for a more comprehensive list please visit my Google Scholar page.

2023

• Fang, Q., Giachanou, A., Bagheri, A., Boeschoten, L., van Kesteren, E.J., Shafiee Kamalabad, M., Oberski, D.L. (2023). On Text-based Personality Computing: Challenges and Future Directions. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023.
• van Leeuwen, A., Bagheri, A., Volker, T. B., & van Brakel, C. (2023). Verkenning van de inzet van topic modelling bij het analyseren van schrijfopdrachten. Tijdschrift voor Hoger Onderwijs, 41(2).
• Mohammadi, H., Giachanou, A., & Bagheri, A. (2023). Towards robust online sexism detection: a multi-model approach with BERT, XLM-RoBERTa, and DistilBERT for EXIST 2023 Tasks. Working Notes of CLEF.
• Teijema, J. J., Hofstee, L., Brouwer, M., de Bruin, J., Ferdinands, G., de Boer, J., … & Bagheri, A. (2023). Active learning-based Systematic reviewing using switching classification models: the case of the onset, maintenance, and relapse of depressive disorders. Frontiers in Research Metrics and Analytics, 8, 1178181.
• Ferdinands, G., Schram, R., de Bruin, J., Bagheri, A., Oberski, D. L., Tummers, L., … & van de Schoot, R. (2023). Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records. Systematic Reviews, 12(1), 100.
• Teijema, J. J., Seuren, S., Anadria, D., Bagheri, A., & van de Schoot, R. (2023). Simulation-based Active Learning for Systematic Reviews: A Systematic Review of the Literature. https://doi.org/10.31234/osf.io/67zmt.
• van Tubergen, F., Nadi Njafabadi, S., Bagheri, A. (Submitted, 2023). Media portrayals of immigrants, refugees, and Muslims: Group hierarchies in online news sources in the Netherlands.
• Soppe, K., Bagheri, A., Nadi Njafabadi, S., Klugkist, I., Wubbels, T., Wijngaards-de Meij, L. (Submitted, 2023). Pre-university motivation and first-year study success: Text mining for pre-enrollment questionnaires.

2022

• Keuren, P., Ponsen, M., Bagheri, A. (2022). WordGraph2Vec: Combining domain knowledge with text embeddings. In Joint International Scientific Conferences on AI and Machine Learning (BNAIC/BeNeLearn 2022).
• de Jong, D., Bagheri, A. (2022). The Case of Imperfect Negation Cues: A Two-Step Approach for Automatic Negation Scope Resolution. In International Conference on Applications of Natural Language to Information Systems (pp. 413-424). Springer, Cham.
• Afsharizadeh, M., Ebrahimpour-Komleh, H., Bagheri, A., Chrupała, G. (2022). A Survey on Multi-document Summarization and Domain-Oriented Approaches. Journal of Information Systems and Telecommunication (JIST), 1(37), 68.
• Teijema, J., Hofstee, L., Brouwer, M., de Bruin, J., Ferdinands, G., de Boer, J., Vizan, P., van den Brand, S., Bockting, C., van de Schoot, R., Bagheri, A. (Submitted, 2022). Systematic reviewing using Active Learning-based neural networks: the case of the onset, maintenance, and relapse of depressive disorders. Expert Systems with Applications.

2021

• Felix, S.EA., Bagheri, A., Ramjankhan, F.R., Spruit, M.R., Oberski, D.L., de Jonge, N., van Laake, L.W., Suyker, W.JL., Asselbergs, F.W., (2021). A data mining-based cross-industry process for predicting major bleeding in mechanical circulatory support. European Heart Journal-Digital Health, 2(4), 635-642.
• Bagheri, A., Groenhof, T.K.J., Asselbergs, F.W., Haitjema, S., Bots, M.L., Veldhuis, W.B., de Jong, P.A., Oberski, D.L. (2021). Automatic prediction of recurrence of major cardiovascular events: A text mining study using chest X-ray reports. Journal of Healthcare Engineering, 1-11.
• Boeschoten, L., van Kesteren, E.J., Bagheri, A., Oberski, D.L. (2021). Achieving fair inference using error-prone outcomes. International Journal of Interactive Multimedia & Artificial Intelligence, 6(5).
• Sammani, A., Bagheri, A., van der Heijden, P.G.M., Te Riele, A., Baas, A., Oberski, D.L., Asselbergs, F.W. (2021). Automatic multi-label detection of ICD 10 codes in Dutch cardiology discharge letters using neural networks. NPJ digital medicine, 4(1), 1-10.
• Yang, Z., Bagheri, A., van der Heijden, P.G. (2021). Neural Networks for Latent Budget Analysis of Compositional Data. arXiv preprint arXiv:2109.04875.

2020

• Bagheri, A., Sammani, A., van der Heijden, P.G.M., Asselbergs, F.W., Oberski, D.L. (2020). ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients’ disease history. Journal of Intelligent Information Systems, 55(2), 329-349.
• Afsharizadeh, M., Ebrahimpour-Komleh, H., Bagheri, A. (2020). Automatic summarization of scientific articles: A survey. Journal of Information Science, 46(3), 291-310.
• Bagheri, A., Groenhof, T.K.J., Veldhuis, W.B., de Jong, P.A., Asselbergs, F.W., Oberski, D.L. (2020). Multimodal learning for cardiovascular risk prediction using EHR data. In Proceedings of the 11th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB 2020).
• Bagheri, A., Sammani, A., van der Heijden, P.G.M., Asselbergs, F.W., Oberski, D.L. (2020). Automatic ICD-10 classification of diseases from Dutch discharge letters. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies, 281-289.
• Boeschoten, L., van Kesteren, E.J., Bagheri, A., Oberski, D.L. (2020). Fair inference on error-prone outcomes. ECAI conference 2020 workshop: Artificial Intelligence for a Fair, Just and Equitable World.
• van de Leur, R.R., Boonstra, M.J., Bagheri, A., Roudijk, R.W., Sammani, A., Taha, K., Doevendans, P.A.F.M., van der Harst, P., van Dam, P.M., Hassink, R.J., van Es, R., Asselbergs F.W. (2020). Big data and artificial intelligence: Opportunities and threats in electrophysiology, Arrhythmia & Electrophysiology Review, 9(3), 146-154.
• Ferdinands, G., Schram, R., de Bruin, J., Bagheri, A., Oberski, D., Tummers, L., van de Schoot, R. (2020). Interactive screening prioritization in systematic reviews by employing active learning.

2019

• Sammani, A., Jansen, M., Linschoten, M., Bagheri, A., de Jonge, N., Kirkels, H., van Laake, L., Vink, A., van Tintelen, J.P., Dooijes, D., Te Riele, A., Harakalova, M., Baas, A.F., Asselbergs, F.W. (2019). UNRAVEL: Big data analytics research data platform to improve care of patients with cardiomyopathies using routine electronic health records and standardized biobanking. Netherlands Heart Journal, 27(9), 426-434.
• Bagheri, A., Oberski, D.L., Sammani, A., van der Heijden, P.G.M., Asselbergs, F.W. (2019). SALTClass: Classifying clinical short notes using background knowledge from unlabeled data. bioRxiv 801944.
• Bagheri, A. (2019). Integrating word status for joint detection of sentiment and aspect in reviews. Journal of Information Science, 45(6), 736-755.
• Sedighi, Z., Ebrahimpour-Komleh, H., Bagheri, A., Kosseim, L. (2019). Learning to identify fake opinion reviews using a neural network with attention. In Proceedings of the 32nd International Artificial Intelligence Research Society Conference, 245-248.

2018

• Asgarnezhad, R., Monadjemi, S.A., Soltanaghaei, M., Bagheri, A. (2018). SFT: A model for sentiment classification using supervised methods on Twitter. Journal of Theoretical & Applied Information Technology, 96(8), 2242-2251.
• Afsharizadeh, M., Ebrahimpour-Komleh, H., Bagheri, A. (2018). Query-oriented text summarization using sentence extraction technique. In Proceedings of the 4th IEEE International Conference on Web Research, 128-132.

2017

• Sedighi, Z., Ebrahimpour-Komleh, H., Bagheri, A. (2017). RLOSD: Representation learning-based opinion spam detection. In Proceedings of the 3rd IEEE Conference on Intelligent Systems and Signal Processing, 74-80.

2016

• Zaghian, A., Bagheri, A. (2016). A combined model of clustering and classification methods for preserving privacy in social networks against inference and neighborhood attacks. International Journal of Security and Its Applications, 10(1), 95-102.

2015

• Bagheri, A., Saraee, M., Nadi Njafabadi, S. (2015). PSA: A hybrid feature selection approach for Persian text classification. Journal of Computing and Security, Special Issue in Data Mining and Knowledge Discovery, 1(4), 261-272.

2014

• Bagheri, A., Saraee, M., de Jong, F. (2014). ADM-LDA: An aspect detection model based on topic modeling by using structures of reviews. Journal of Information Science, 40(5), 621-636.
• Bagheri, A., Saraee, M., de Jong, F. (2014). Care more about customers: Unsupervised domain-independent aspect detection for sentiment analysis of customer reviews. Knowledge-Based Systems, 52, 201–213.
• Bagheri, A., Saraee, M. (2014). Persian sentiment analyzer: A framework based on a novel feature selection method. International Journal of Artificial Intelligence, 12(2), 115-129.

2013

• Bagheri, A., Saraee, M., de Jong, F. (2013). An unsupervised aspect detection model for sentiment analysis of reviews. Natural Language Processing and Information Systems NLDB 2013, 140-151.
• Saraee, M., Bagheri, A. (2013). Feature selection methods in Persian sentiment analysis. Natural Language Processing and Information Systems NLDB 2013, 303-308.
• Bagheri, A., Saraee, M., de Jong, F. (2013). Latent Dirichlet Markov allocation for sentiment analysis. In Proceedings of the Fifth European Conference on Intelligent Management Systems in Operations, 90-96.
• Bagheri, A., Saraee, M., de Jong, F. (2013). Sentiment classification in Persian introducing a mutual information-based method for feature selection. In Proceedings of the 21st Iranian Conference on Electrical Engineering, 1-6.

2011

• Nadi Njafabadi, S., Saraee, M., Bagheri, A. (2011). A hybrid recommender system for dynamic web users. International Journal of Multimedia and Image Processing, 1(1), 3-8.
• Moghimi, M., Saraee, M., Bagheri, A. (2011). Modeling batch annealing process using data mining techniques for cold rolled steel sheets. In Proceedings of the First International Workshop on Data Mining for Service and Maintenance, 18-22.

2010

• Nadi Njafabadi, S., Saraee, M., Bagheri, A. (2010). FARS: Fuzzy ant based recommender system for web users. International Journal of Computer Science Issues, 7(6), 203-209.

2009

• Norouzzadeh, M., Bagheri, A., Saraee, M. (2009). Web search personalization: A fuzzy adaptive approach. In Proceedings of the 2nd IEEE International Conference on Computer Science and Information Technology, 143-148.

2008

• Bagheri, A., Akbarzadeh, M., Saraee, M. (2008). Finding shortest path with learning algorithms. International Journal of Artificial Intelligence, 1(8), 86-95.