Ayoub Bagheri

According to our database, Ayoub Bagheri authored at least 24 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 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

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), 2024

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

Proceedings of the Computational Humanities Research Conference 2024, 2024

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., April, 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

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Modelling Stance Detection as Textual Entailment Recognition and Leveraging Measurement Knowledge from Social Sciences.

Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri

CoRR, 2022

The Case of Imperfect Negation Cues: A Two-Step Approach for Automatic Negation Scope Resolution.

Daan de Jong, Ayoub Bagheri

Proceedings of the Natural Language Processing and Information Systems, 2022

2021

Text Mining in Healthcare: Bringing Structure to Electronic Health Records.

Ayoub Bagheri

PhD thesis, 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

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

Neural Networks for Latent Budget Analysis of Compositional Data.

Zhenwei Yang, Ayoub Bagheri, Peter G. M. van der Heijden

CoRR, 2021

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

Fair inference on error-prone outcomes.

Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski

CoRR, 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

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

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

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019

Integrating word status for joint detection of sentiment and aspect in reviews.

Ayoub Bagheri

J. Inf. Sci., 2019

Opinion Spam Detection with Attention-Based Neural Networks.

Zeinab Sedighi, Hossein Ebrahimpour-Komleh, Ayoub Bagheri, Leila Kosseim

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Opinion Spam Detection with Attention-Based LSTM Networks.

Zeinab Sedighi, Hossein Ebrahimpour-Komleh, Ayoub Bagheri, Leila Kosseim

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

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

Persian Sentiment Analyzer: A Framework based on a Novel Feature Selection Method.

Ayoub Bagheri, Mohamad Saraee

CoRR, 2014

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

Feature Selection Methods in Persian Sentiment Analysis.

Mohamad Saraee, Ayoub Bagheri

Proceedings of the Natural Language Processing and Information Systems, 2013

An Unsupervised Aspect Detection Model for Sentiment Analysis of Reviews.

Ayoub Bagheri, Mohamad Saraee, Franciska de Jong

Proceedings of the Natural Language Processing and Information Systems, 2013