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Books and Theses
- 2021
[b1]Ayoub Bagheri:
Text Mining in Healthcare: Bringing Structure to Electronic Health Records. Utrecht University, Netherlands, 2021
Journal Articles
- 2024
- [j8]Christine Hedde-von Westernhagen
, Ayoub Bagheri, Javier Garcia-Bernardo:
Predicting COVID-19 infections using multi-layer centrality measures in population-scale networks. Appl. Netw. Sci. 9(1): 27 (2024) - 2023
- [j7]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:
Active learning-based systematic reviewing using switching classification models: the case of the onset, maintenance, and relapse of depressive disorders. Frontiers Res. Metrics Anal. 8 (2023) - 2021
- [j6]Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski:
Achieving Fair Inference Using Error-Prone Outcomes. Int. J. Interact. Multim. Artif. Intell. 6(5): 9-15 (2021) - [j5]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:
Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks. npj Digit. Medicine 4 (2021) - 2020
- [j4]Ayoub Bagheri, Arjan Sammani, Peter G. M. van der Heijden, Folkert W. Asselbergs, Daniel L. Oberski:
ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients' disease history. J. Intell. Inf. Syst. 55(2): 329-349 (2020) - 2019
- [j3]Ayoub Bagheri:
Integrating word status for joint detection of sentiment and aspect in reviews. J. Inf. Sci. 45(6) (2019) - 2014
- [j2]Ayoub Bagheri, Mohamad Saraee, Franciska de Jong:
ADM-LDA: An aspect detection model based on topic modelling using the structure of review sentences. J. Inf. Sci. 40(5): 621-636 (2014) - 2013
- [j1]Ayoub Bagheri, Mohamad Saraee, Franciska de Jong:
Care more about customers: Unsupervised domain-independent aspect detection for sentiment analysis of customer reviews. Knowl. Based Syst. 52: 201-213 (2013)
Conference and Workshop Papers
- 2024
- [c11]Arjan van Dalfsen, Folgert Karsdorp, Ayoub Bagheri, Dieuwertje Mentink, Thirza van Engelen, Els Stronks:
Direct and Indirect Annotation with Generative AI: A Case Study into Finding Animals and Plants in Historical Text. CHR 2024: 1053-1074 - [c10]Michiel P. Bron, Berend Greijn, Bruno Messina Coimbra, Rens van de Schoot, Ayoub Bagheri:
Combining Large Language Model Classifications and Active Learning for Improved Technology-Assisted Review. IAL@PKDD/ECML 2024: 77-95 - 2023
- [c9]Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski:
On Text-based Personality Computing: Challenges and Future Directions. ACL (Findings) 2023: 10861-10879 - [c8]Hadi Mohammadi, Anastasia Giachanou, Ayoub Bagheri:
Towards Robust Online Sexism Detection: A Multi-Model Approach with BERT, XLM-RoBERTa, and DistilBERT for EXIST 2023 Tasks. CLEF (Working Notes) 2023: 1000-1011 - 2022
- [c7]Daan de Jong, Ayoub Bagheri:
The Case of Imperfect Negation Cues: A Two-Step Approach for Automatic Negation Scope Resolution. NLDB 2022: 413-424 - 2020
- [c6]Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis, Pim A. de Jong, Folkert W. Asselbergs, Daniel L. Oberski:
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data. BCB 2020: 78:1 - [c5]Ayoub Bagheri, Arjan Sammani, Peter G. M. van der Heijden, Folkert W. Asselbergs, Daniel L. Oberski:
Automatic ICD-10 Classification of Diseases from Dutch Discharge Letters. BIOINFORMATICS 2020: 281-289 - 2019
- [c4]Zeinab Sedighi, Hossein Ebrahimpour-Komleh, Ayoub Bagheri, Leila Kosseim:
Opinion Spam Detection with Attention-Based LSTM Networks. CICLing (2) 2019: 212-221 - [c3]Zeinab Sedighi, Hossein Ebrahimpour-Komleh, Ayoub Bagheri, Leila Kosseim:
Opinion Spam Detection with Attention-Based Neural Networks. FLAIRS 2019: 245-249 - 2013
- [c2]Ayoub Bagheri, Mohamad Saraee, Franciska de Jong:
An Unsupervised Aspect Detection Model for Sentiment Analysis of Reviews. NLDB 2013: 140-151 - [c1]Mohamad Saraee, Ayoub Bagheri:
Feature Selection Methods in Persian Sentiment Analysis. NLDB 2013: 303-308
Informal and Other Publications
- 2024
- [i9]Evi Papadopoulou, Hadi Mohammadi, Ayoub Bagheri:
Large Language Models as Mirrors of Societal Moral Standards. CoRR abs/2412.00956 (2024) - [i8]Mijntje Meijer, Hadi Mohammadi, Ayoub Bagheri:
LLMs as mirrors of societal moral standards: reflection of cultural divergence and agreement across ethical topics. CoRR abs/2412.00962 (2024) - 2023
- [i7]Christine Hedde-von Westernhagen, Javier Garcia-Bernardo, Ayoub Bagheri:
Predicting COVID-19 Infections Using Multi-layer Centrality Measures in Population-scale Networks. CoRR abs/2310.14767 (2023) - 2022
- [i6]Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri:
Modelling Stance Detection as Textual Entailment Recognition and Leveraging Measurement Knowledge from Social Sciences. CoRR abs/2212.06543 (2022) - [i5]Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski:
On Text-based Personality Computing: Challenges and Future Directions. CoRR abs/2212.06711 (2022) - 2021
- [i4]Zhenwei Yang, Ayoub Bagheri, Peter G. M. van der Heijden:
Neural Networks for Latent Budget Analysis of Compositional Data. CoRR abs/2109.04875 (2021) - 2020
- [i3]Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski:
Fair inference on error-prone outcomes. CoRR abs/2003.07621 (2020) - [i2]Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis, Pim A. de Jong, Folkert W. Asselbergs, Daniel L. Oberski:
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data. CoRR abs/2008.11979 (2020) - 2014
- [i1]Ayoub Bagheri, Mohamad Saraee:
Persian Sentiment Analyzer: A Framework based on a Novel Feature Selection Method. CoRR abs/1412.8079 (2014)
Coauthor Index
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