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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 13 of 13 1 MIRACLE at ImageCLEFphoto 2007: Evaluation of Merging Strategies for Multilingual and Multimedia Information Retrieval Julio Villena-román; Sara Lana-serrano; José Luis Martínez-fernández... In: http://clef.isti.cnr.it/2007/working_notes/villenaCLEF2007ImagePHOTO.pdf BASE Show details 2 First Experiments on Multilingual Opinion Analysis Julio Villena-román; Sara Lana-serrano; José C. González-cristóbal In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings7/pdf/NTCIR7/C2/MOAT/17-NTCIR7-MOAT-Villena-RomanJ.pdf BASE Show details 3 Universidad Politécnica de Madrid José Miguel Goñi-menoyo; José C. González; Julio Villena-román... In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/menoyo05.pdf BASE Show details 4 1 Universidad Politécnica de Madrid José Miguel Goñi-menoyo; José Carlos González-cristóbal; Julio Villena-román In: http://ceur-ws.org/Vol-1172/CLEF2006wn-adhoc-GoniMenoyoEt2006.pdf BASE Show details 5 MIRACLE’s Approach to Multilingual Web Retrieval Ángel Martínez-gonzález; José Luis Martínez-fernández; César De Pablo-sánchez... In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/fernandez05.pdf BASE Show details 6 Universidad Politécnica de Madrid José C. González; José Miguel Goñi-menoyo; Julio Villena-román... In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/gonzalez05.pdf BASE Show details 7 MIRACLE at VideoCLEF 2008: Classification of Multilingual Speech Transcripts Julio Villena-román; Sara Lana-serrano In: http://clef.isti.cnr.it/2008/working_notes/Villena2-paperCLEF2008_MIRACLE_Vid2RSS2008.pdf BASE Show details 8 MIRACLE at ImageCLEFmed 2007: Merging Textual and Visual Strategies to Improve Medical Image Retrieval Julio Villena-román; Sara Lana-serrano; José Carlos González-cristóbal In: http://www.clef-campaign.org/2007/working_notes/villenaCLEF2007ImageMED.pdf BASE Show details 9 MIRACLE Retrieval Experiments with East Asian Languages Julio Villena-román; José Miguel Goñi-menoyo; José C. González-cristóbal... In: http://www.mt-archive.info/NTCIR-2005-Villena.pdf BASE Show details 10 MIRACLE-GSI at ImageCLEFphoto 2009: Comparing Clustering vs. Classification for Result Reranking Julio Villena-román; Sara Lana-serrano; José C. González-cristóbal In: http://clef.isti.cnr.it/2009/working_notes/Villena-paperCLEF2009_MIRACLE_ImageCLEFphoto2009.pdf BASE Show details 11 MIRACLE-GSI at ImageCLEFphoto 2008: Experiments on Semantic and Statistical Topic Expansion Julio Villena-román; Sara Lana-serrano; José C. González-cristóbal In: http://clef.isti.cnr.it/2008/working_notes/Villena1-paperCLEF2008_MIRACLE_ImageCLEFphoto2008.pdf BASE Show details 12 MIRACLE at ImageCLEFmed 2008: Evaluating Strategies for Automatic Topic Expansion Sara Lana-serrano; Julio Villena-román; José C. González-cristóbal In: http://clef.isti.cnr.it/2008/working_notes/Lana1-paperCLEF2008_MIRACLE_ImageCLEFmed2008.pdf Abstract: This paper describes the participation of MIRACLE research consortium at the ImageCLEFmed task of ImageCLEF 2008. The main goal of our participation this year is to compare among different topic expansion approaches: methods based on linguistic information such as thesauri or knowledge bases, and statistical techniques based on term frequency. Thus we focused on runs using text features only. First a common baseline algorithm was used in all experiments to process the document collection: text extraction, medical-vocabulary recognition, tokenization, conversion to lowercase, filtering, stemming and indexing and retrieval. Then this baseline algorithm is combined with different expansion techniques. For the semantic expansion, the MeSH concept hierarchy using UMLS entities as basic root elements was used. The statistical method consisted of expanding the topics using the apriori algorithm. Relevance-feedback techniques were also used. Keyword: 2008; Categories and Subject Descriptors H.3 [Information Storage and Retrieval; CLEF; E.2 [Data Storage Representations]. Keywords Image retrieval; H.2.5 Heterogeneous Databases; H.3.1 Content Analysis and Indexing; H.3.2 Information Storage; H.3.3 Information Search and Retrieval; H.3.4 Systems and Software; H.3.7 Digital libraries. H.2 [Database Management; ImageCLEF; ImageCLEF Medical Retrieval Task; indexing; information retrieval; linguistic engineering; medical domain-specific vocabulary; relevance feedback; thesaurus; topic expansion URL: http://clef.isti.cnr.it/2008/working_notes/Lana1-paperCLEF2008_MIRACLE_ImageCLEFmed2008.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.587.9039 BASE Hide details 13 MIRACLE Retrieval Experiments with East Asian Languages Julio Villena-román; José Miguel Goñi-menoyo; José C. González-cristóbal... In: http://oa.upm.es/4691/1/Menoyo_12.pdf BASE Show details

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