| Can chatbots help to motivate smoking cessation? A study on the effectiveness of motivational interviewing on engagement and therapeutic alliance L He, E Basar, RW Wiers, ML Antheunis, E Krahmer BMC Public Health 22 (1), 726, 2022 | 68 | 2022 |
| Improving the classification of flood tweets with contextual hydrological information in a multimodal neural network JA de Bruijn, H de Moel, AH Weerts, MC de Ruiter, E Basar, D Eilander, ... Computers & Geosciences 140, 104485, 2020 | 48 | 2020 |
| The multimedia satellite task at MediaEval 2019: Estimation of flood severity B Bischke, P Helber, S Brugman, E Basar, Z Zhao, M Larson, K Pogorelov Proc. of the MediaEval 2019 Workshop (Oct. 27-29, 2019). Sophia Antipolis …, 2020 | 41* | 2020 |
| HyLECA: A Framework for Developing Hybrid Long-term Engaging Controlled Conversational Agents E Basar, D Balaji, L He, I Hendrickx, E Krahmer, GJ de Bruijn, T Bosse Proceedings of the 5th International Conference on Conversational User …, 2023 | 10 | 2023 |
| The connection between the text and images of news articles: New insights for multimedia analysis NHJ Oostdijk, H Halteren, E Basar, MA Larson Paris: European Language Resources Association, 2020 | 5 | 2020 |
| Hints of independence in a pre-scripted world: on controlled usage of open-domain language models for chatbots in highly sensitive domains E Basar, I Hendrickx, E Krahmer, GJ de Bruijn, T Bosse Proceedings of the 14th International Conference on Agents and Artificial …, 2022 | 4 | 2022 |
| Supporting experts to handle tweet collections about significant events A Hürriyetoǧlu, N Oostdijk, E Basar, A van den Bosch Natural Language Processing and Information Systems: 22nd International …, 2017 | 4 | 2017 |
| Effectiveness and user experience of a smoking cessation chatbot: mixed methods study comparing motivational interviewing and confrontational counseling L He, E Basar, E Krahmer, R Wiers, M Antheunis Journal of Medical Internet Research 26, e53134, 2024 | 3 | 2024 |
| To What Extent Are Large Language Models Capable of Generating Substantial Reflections for Motivational Interviewing Counseling Chatbots? A Human Evaluation E Basar, I Hendrickx, E Krahmer, GJ Bruijn, T Bosse Proceedings of the 1st Human-Centered Large Language Modeling Workshop, 41-52, 2024 | 2 | 2024 |
| Exploring user engagement through an interaction lens: what textual cues can tell us about human-chatbot interactions L He, A Braggaar, E Basar, E Krahmer, M Antheunis, R Wiers Proceedings of the 6th ACM Conference on Conversational User Interfaces, 1-14, 2024 | 2 | 2024 |
| Towards a new generation of personalized intelligent conversational agents I Hendrickx, F Cena, E Basar, L Di Caro, F Kunneman, E Musi, C Musto, ... Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation …, 2021 | 2 | 2021 |
| A Comparative Study on Generalizability of Information Extraction Models on Protest News. E Basar, S Ekiz, A Van Den Bosch CLEF (Working Notes), 2019 | 1 | 2019 |
| How Well Can Large Language Models Reflect? A Human Evaluation of LLM-generated Reflections for Motivational Interviewing Dialogues E Basar, X Sun, I Hendrickx, J de Wit, T Bosse, GJ de Bruijn, J Bosch, ... Proceedings of the 31st International Conference on Computational …, 2025 | | 2025 |
| Towards a global drought detection and monitoring system using online media J De Bruijn, T Veldkamp, E Basar, J de Plaen, H de Moel, J Aerts AGU Fall Meeting Abstracts 2018, H42C-02, 2018 | | 2018 |
| Sequential Labelling with Active Learning to Extract Information about Disasters E Basar Radboud University Nijmegen, 2017 | | 2017 |
| Üniversite için Android Tabanlı Mobil Uygulaması ve Geliştirme Sürecinde Öğrenilenler E Türk, E Basar, O Mutlu, E Karaarslan Akademik Bilişim, 2014 | | 2014 |
Emiel KrahmerTilburg UniversityVerified email at uvt.nl