An Unsupervised Aspect Detection Model for Sentiment Analysis of Reviews. - Ayoub Bagheri; Mohamad Saraee; Franciska de Jong (NLDB, 2013)

Feature Selection Methods in Persian Sentiment Analysis. - Mohamad Saraee; Ayoub Bagheri (NLDB, 2013)

Care more about customers: Unsupervised domain-independent aspect detection for sentiment analysis of customer reviews. - Ayoub Bagheri; Mohamad Saraee; Franciska de Jong (Knowl. Based Syst., 2013)

Persian Sentiment Analyzer: A Framework based on a Novel Feature Selection Method. - Ayoub Bagheri; Mohamad Saraee (CoRR, 2014)

ADM-LDA: An aspect detection model based on topic modelling using the structure of review sentences. - Ayoub Bagheri; Mohamad Saraee; Franciska de Jong (J. Inf. Sci., 2014)

Opinion Spam Detection with Attention-Based LSTM Networks. - Zeinab Sedighi; Hossein Ebrahimpour-Komleh; Ayoub Bagheri; Leila Kosseim (CICLing (2), 2019)

Opinion Spam Detection with Attention-Based Neural Networks. - Zeinab Sedighi; Hossein Ebrahimpour-Komleh; Ayoub Bagheri; Leila Kosseim (FLAIRS, 2019)

Integrating word status for joint detection of sentiment and aspect in reviews. - Ayoub Bagheri (J. Inf. Sci., 2019)

Multimodal Learning for Cardiovascular Risk Prediction using EHR Data. - Ayoub Bagheri; T. Katrien J. Groenhof; Wouter B. Veldhuis; Pim A. de Jong; Folkert W. Asselbergs; Daniel L. Oberski (BCB, 2020)

Automatic ICD-10 Classification of Diseases from Dutch Discharge Letters. - Ayoub Bagheri; Arjan Sammani; Peter G. M. van der Heijden; Folkert W. Asselbergs; Daniel L. Oberski (BIOINFORMATICS, 2020)

Fair inference on error-prone outcomes. - Laura Boeschoten; Erik-Jan van Kesteren; Ayoub Bagheri; Daniel L. Oberski (CoRR, 2020)

ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients' disease history. - Ayoub Bagheri; Arjan Sammani; Peter G. M. van der Heijden; Folkert W. Asselbergs; Daniel L. Oberski (J. Intell. Inf. Syst., 2020)

Neural Networks for Latent Budget Analysis of Compositional Data. - Zhenwei Yang; Ayoub Bagheri; Peter G. M. van der Heijden (CoRR, 2021)

Achieving Fair Inference Using Error-Prone Outcomes. - Laura Boeschoten; Erik-Jan van Kesteren; Ayoub Bagheri; Daniel L. Oberski (Int. J. Interact. Multim. Artif. Intell., 2021)

Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks. - Arjan Sammani; Ayoub Bagheri; Peter G. M. van der Heijden; Anneline S. J. M. te Riele; Annette F. Baas; C. A. J. Oosters; Daniel L. Oberski; Folkert W. Asselbergs (npj Digit. Medicine, 2021)

Text Mining in Healthcare: Bringing Structure to Electronic Health Records. - Ayoub Bagheri (2021)

The Case of Imperfect Negation Cues: A Two-Step Approach for Automatic Negation Scope Resolution. - Daan de Jong; Ayoub Bagheri (NLDB, 2022)

Modelling Stance Detection as Textual Entailment Recognition and Leveraging Measurement Knowledge from Social Sciences. - Qixiang Fang; Anastasia Giachanou; Ayoub Bagheri (CoRR, 2022)

On Text-based Personality Computing: Challenges and Future Directions. - Qixiang Fang; Anastasia Giachanou; Ayoub Bagheri; Laura Boeschoten; Erik-Jan van Kesteren; Mahdi Shafiee Kamalabad; Daniel L. Oberski (ACL (Findings), 2023)

Towards Robust Online Sexism Detection: A Multi-Model Approach with BERT, XLM-RoBERTa, and DistilBERT for EXIST 2023 Tasks. - Hadi Mohammadi; Anastasia Giachanou; Ayoub Bagheri (CLEF (Working Notes), 2023)

Active learning-based systematic reviewing using switching classification models: the case of the onset, maintenance, and relapse of depressive disorders. - Jelle Jasper Teijema; Laura Hofstee; Marlies Brouwer; Jonathan de Bruin; Gerbrich Ferdinands; Jan de Boer; Pablo Vizan; Sofie van den Brand; Claudi Bockting; Rens van de Schoot; Ayoub Bagheri (Frontiers Res. Metrics Anal., 2023)

Direct and Indirect Annotation with Generative AI: A Case Study into Finding Animals and Plants in Historical Text. - Arjan van Dalfsen; Folgert Karsdorp; Ayoub Bagheri; Dieuwertje Mentink; Thirza van Engelen; Els Stronks (CHR, 2024)

Combining Large Language Model Classifications and Active Learning for Improved Technology-Assisted Review. - Michiel P. Bron; Berend Greijn; Bruno Messina Coimbra; Rens van de Schoot; Ayoub Bagheri (IAL@PKDD/ECML, 2024)

Large Language Models as Mirrors of Societal Moral Standards. - Evi Papadopoulou; Hadi Mohammadi; Ayoub Bagheri (CoRR, 2024)

LLMs as mirrors of societal moral standards: reflection of cultural divergence and agreement across ethical topics. - Mijntje Meijer; Hadi Mohammadi; Ayoub Bagheri (CoRR, 2024)

Predicting COVID-19 infections using multi-layer centrality measures in population-scale networks. - Christine Hedde-von Westernhagen; Ayoub Bagheri; Javier Garcia-Bernardo (Appl. Netw. Sci., 2024)

Explainability in Practice: A Survey of Explainable NLP Across Various Domains. - Hadi Mohammadi; Ayoub Bagheri; Anastasia Giachanou; Daniel L. Oberski (CoRR, 2025)

Explainability-Based Token Replacement on LLM-Generated Text. - Hadi Mohammadi; Anastasia Giachanou; Daniel L. Oberski; Ayoub Bagheri (CoRR, 2025)

Exploring Cultural Variations in Moral Judgments with Large Language Models. - Hadi Mohammadi; Efthymia Papadopoulou; Yasmeen F. S. S. Meijer; Ayoub Bagheri (CoRR, 2025)

Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation. - Hadi Mohammadi; Tina Shahedi; Pablo Mosteiro; Massimo Poesio; Ayoub Bagheri; Anastasia Giachanou (CoRR, 2025)

Do Large Language Models Understand Morality Across Cultures? - Hadi Mohammadi; Yasmeen F. S. S. Meijer; Efthymia Papadopoulou; Ayoub Bagheri (CoRR, 2025)