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2024 Conference Publication Embark on DenseQuest: a system for selecting the best dense retriever for a custom collectionKhramtsova, Ekaterina, Leelanupab, Teerapong, Zhuang, Shengyao, Baktashmotlagh, Mahsa and Zuccon, Guido (2024). Embark on DenseQuest: a system for selecting the best dense retriever for a custom collection. SIGIR '24: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657674 |
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2023 Conference Publication Deep neural networks for the qualitative analysis of myocardial perfusion emission computed tomography imagesPruthipanyasakul, Nareekarn, Kanungsukkasem, Nont, Urruty, Thierry and Leelanupab, Teerapong (2023). Deep neural networks for the qualitative analysis of myocardial perfusion emission computed tomography images. 15th International Conference on Information Technology and Electrical Engineering (ICITEE), Chiang Mai, Thailand, 26-27 October 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/icitee59582.2023.10317700 |
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2023 Book Chapter When are Latent Topics Useful for Text Mining? : Enriching Bag-of-Words Representations with Information Extraction in Thai News ArticlesKanungsukkasem, Nont, Chuangkrud, Piyawat, Pitichotchokphokhin, Pimpitcha, Damrongrat, Chaianun and Leelanupab, Teerapong (2023). When are Latent Topics Useful for Text Mining? : Enriching Bag-of-Words Representations with Information Extraction in Thai News Articles. Recent Challenges in Intelligent Information and Database Systems. (pp. 205-219) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-031-42430-4_17 |
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2022 Journal Article A multi-sequences MRI deep framework study applied to glioma classficationCoupet, Matthieu, Urruty, Thierry, Leelanupab, Teerapong, Naudin, Mathieu, Bourdon, Pascal, Maloigne, Christine Fernandez and Guillevin, Rémy (2022). A multi-sequences MRI deep framework study applied to glioma classfication. Multimedia Tools and Applications, 81 (10), 13563-13591. doi: 10.1007/s11042-022-12316-1 |
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2019 Journal Article Financial Latent Dirichlet Allocation (FinLDA): Feature Extraction in Text and Data Mining for Financial Time Series PredictionKanungsukkasem, Nont and Leelanupab, Teerapong (2019). Financial Latent Dirichlet Allocation (FinLDA): Feature Extraction in Text and Data Mining for Financial Time Series Prediction. IEEE Access, 7, 71645-71664. doi: 10.1109/access.2019.2919993 |
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2013 Journal Article Crowdsourcing interactions: using crowdsourcing for evaluating interactive information retrieval systemsZuccon, Guido, Leelanupab, Teerapong, Whiting, Stewart, Yilmaz, Emine, Jose, Joemon M. and Azzopardi, Leif (2013). Crowdsourcing interactions: using crowdsourcing for evaluating interactive information retrieval systems. Information Retrieval, 16 (2), 267-305. doi: 10.1007/s10791-012-9206-z |
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2012 Conference Publication A comprehensive analysis of parameter settings for novelty-biased cumulative gainLeelanupab, Teerapong, Zuccon, Guido and M. Jose, Joemon (2012). A comprehensive analysis of parameter settings for novelty-biased cumulative gain. 21st ACM international Conference on Information and Knowledge Management, Maui, HI, United States, 29 October - 02 November 2012. New York, NY, United States: ACM Press. doi: 10.1145/2396761.2398550 |
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2011 Conference Publication A Query-Basis Approach to Parametrizing Novelty-Biased Cumulative GainLeelanupab, Teerapong, Zuccon, Guido and Jose, Joemon M. (2011). A Query-Basis Approach to Parametrizing Novelty-Biased Cumulative Gain. 3rd International Conference on the Theory of Information Retrieval (ICTIR 2011), Bertinoro, Italy, 12-14 September 2011. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-23318-0_32 |
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2010 Book Chapter University of Glasgow at ImageCLEFPhoto 2009: Optimising Similarity and Diversity in Image RetrievalLeelanupab, Teerapong, Zuccon, Guido, Goyal, Anuj, Halvey, Martin, Punitha, P. and Jose, Joemon M. (2010). University of Glasgow at ImageCLEFPhoto 2009: Optimising Similarity and Diversity in Image Retrieval. Lecture Notes in Computer Science. (pp. 133-141) Berlin, Heidelberg: Springer. doi: 10.1007/978-3-642-15751-6_14 |
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2010 Book Chapter Revisiting sub–topic retrieval in the ImageCLEF 2009 photo retrieval taskLeelanupab, Teerapong, Zuccon, Guido and Jose, Joemon M. (2010). Revisiting sub–topic retrieval in the ImageCLEF 2009 photo retrieval task. ImageCLEF. (pp. 277-294) Berlin, Heidelberg: Springer Berlin Heidelberg. doi: 10.1007/978-3-642-15181-1_15 |
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2010 Conference Publication When Two Is Better Than One: A Study of Ranking Paradigms and Their Integrations for Subtopic RetrievalLeelanupab, Teerapong, Zuccon, Guido and Jose, Joemon M. (2010). When Two Is Better Than One: A Study of Ranking Paradigms and Their Integrations for Subtopic Retrieval. 6th Asia Information Retrieval Societies Conference (AIRS 2010), Taipei, Taiwan, 1-3 December 2010. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-17187-1_15 |
