Etiologia e susceptibilidade à drogas de microrganismos relacionados com a otite média crônica supurativa em pacientes portadores de fissura palatal

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Representação social da criança com fissura labiopalatina: intervenção por meio de leitura de história

Pós-graduação em Psicologia do Desenvolvimento e Aprendizagem - FC

Exploring the use of local descriptors for fish recognition in LifeCLEF 2015

[EN]This paper summarizes the proposal made by the SIANI team for the LifeCLEF 2015 Fish task. The approach makes use of standard detection techniques, applying a multiclass SVM based classifier on large enough Regions Of Interest (ROIs) automatically extracted from the provided video frames. The selection of the detection and classification modules is based on the best performance achieved for the validation dataset consisting of 20 annotated videos. For that dataset, the best classification achieved for an ideal detection module, reaches an accuracy around 40%.

Stile. Teoria e prassi nell'opera di Viollet-le-Duc

Per Viollet-le-Duc lo “stile” «è la manifestazione di un ideale fondato su un principio» dove per principio si intende il principio d’ordine della struttura, quest’ultimo deve rispondere direttamente alla Legge dell’”unità” che deve essere sempre rispettata nell’ideazione dell’opera architettonica. A partire da questo nodo centrale del pensiero viollettiano, la presente ricerca si è posta come obiettivo quello dell’esplorazione dei legami fra teoria e prassi nell’opera di Viollet-le-Duc, nei quali lo “stile” ricorre come un "fil rouge" costante, presentandosi come una possibile inedita chiave di lettura di questa figura protagonista della storia del restauro e dell’architettura dell’Ottocento. Il lavoro di ricerca si é dunque concentrato su una nuova lettura dei documenti sia editi che inediti, oltre che su un’accurata ricognizione bibliografica e documentaria, e sullo studio diretto delle architetture. La ricerca archivistica si é dedicata in particolare sull’analisi sistematica dei disegni originali di progetto e delle relazioni tecniche delle opere di Viollet-le- Duc. A partire da questa prima ricognizione, sono stati selezionati due casi- studio ritenuti particolarmente significativi nell’ambito della tematica scelta: il progetto di restauro della chiesa della Madeleine a Vézelay (1840-1859) e il progetto della Maison Milon in rue Douai a Parigi (1857-1860). Attraverso il parallelo lavoro di analisi dei casi-studio e degli scritti di Viollet- le-Duc, si è cercato di verificare le possibili corrispondenze tra teoria e prassi operativa: confrontando i progetti sia con le opere teoriche, sia con la concreta testimonianza degli edifici realizzati.

L’œuvre scientifique de Cyprien Ayer (1825-1884). Grammaire, Pédagogie et Dialectologie

Cyprien Ayer (1825–1888), figure marquante de la vie intellectuelle en Suisse au XIXe siècle, est l'auteur d’une vaste œuvre scientifique, journalistique et littéraire. Parmi ses travaux linguistiques les plus importants il faut mentionner sa Grammaire comparée de la langue française (1876; nombreuses rééditions), sa Phonologie de la langue française (1875), et son Introduction à l’étude des dialectes du pays (1878). Ce dernier texte, ouvrage pionnier dans le domaine des études francoprovençales, est réimprimé ici, précédé d'une introduction. Le présent recueil regroupe des contributions qui concernent l’œuvre linguistique et littéraire d’Ayer et ses rapports avec une autre figure-clef de la vie littéraire et intellectuelle en Suisse, Henri-Frédéric Amiel. Le recueil s’ouvre par une étude de la carrière d’Ayer et par une bibliographie de ses travaux scientifiques (grammaire, dialectologie, pédagogie, économie, géographie, statistique, politique, ethnographie).

MIRACLE’s Hybrid Approach to Bilingual and Monolingual Information Retrieval

The main goal of the bilingual and monolingual participation of the MIRACLE team in CLEF 2004 was to test the effect of combination approaches on information retrieval. The starting point was a set of basic components: stemming, transformation, filtering, generation of n-grams, weighting and relevance feedback. Some of these basic components were used in different combinations and order of application for document indexing and for query processing. A second order combination was also tested, mainly by averaging or selective combination of the documents retrieved by different approaches for a particular query.

Image Retrieval: The MIRACLE Approach

ImageCLEF is a pilot experiment run at CLEF 2003 for cross language image retrieval using textual captions related to image contents. In this paper, we describe the participation of the MIRACLE research team (Multilingual Information RetrievAl at CLEF), detailing the different experiments and discussing their preliminary results.

MIRACLE Approaches to Multilingual Information Retrieval: A Baseline for Future Research

This paper describes the first set of experiments defined by the MIRACLE (Multilingual Information RetrievAl for the CLEf campaign) research group for some of the cross language tasks defined by CLEF. These experiments combine different basic techniques, linguistic-oriented and statistic-oriented, to be applied to the indexing and retrieval processes.

DAEDALUS at ImageCLEF 2011 Plant Identification Task: Using SIFT Keypoints for Object Detection

This paper describes the participation of DAEDALUS at ImageCLEF 2011 Plant Identification task. The task is evaluated as a supervised classification problem over 71 tree species from the French Mediterranean area used as class labels, based on visual content from scan, scan-like and natural photo images. Our approach to this task is to build a classifier based on the detection of keypoints from the images extracted using Lowe’s Scale Invariant Feature Transform (SIFT) algorithm. Although our overall classification score is very low as compared to other participant groups, the main conclusion that can be drawn is that SIFT keypoints seem to work significantly better for photos than for the other image types, so our approach may be a feasible strategy for the classification of this kind of visual content.

DAEDALUS at ImageCLEF Medical Retrieval 2011: Textual, Visual and Multimodal Experiments

This paper describes the participation of DAEDALUS at ImageCLEF 2011 Medical Retrieval task. We have focused on multimodal (or mixed) experiments that combine textual and visual retrieval. The main objective of our research has been to evaluate the effect on the medical retrieval process of the existence of an extended corpus that is annotated with the image type, associated to both the image itself and also to its textual description. For this purpose, an image classifier has been developed to tag each document with its class (1st level of the hierarchy: Radiology, Microscopy, Photograph, Graphic, Other) and subclass (2nd level: AN, CT, MR, etc.). For the textual-based experiments, several runs using different semantic expansion techniques have been performed. For the visual-based retrieval, different runs are defined by the corpus used in the retrieval process and the strategy for obtaining the class and/or subclass. The best results are achieved in runs that make use of the image subclass based on the classification of the sample images. Although different multimodal strategies have been submitted, none of them has shown to be able to provide results that are at least comparable to the ones achieved by the textual retrieval alone. We believe that we have been unable to find a metric for the assessment of the relevance of the results provided by the visual and textual processes

Analyzing Query Success and User Context

This paper describes the participation of DAEDALUS at the LogCLEF lab in CLEF 2011. This year, the objectives of our participation are twofold. The first topic is to analyze if there is any measurable effect on the success of the search queries if the native language and the interface language chosen by the user are different. The idea is to determine if this difference may condition the way in which the user interacts with the search application. The second topic is to analyze the user context and his/her interaction with the system in the case of successful queries, to discover out any relation among the user native language, the language of the resource involved and the interaction strategy adopted by the user to find out such resource. Only 6.89% of queries are successful out of the 628,607 queries in the 320,001 sessions with at least one search query in the log. The main conclusion that can be drawn is that, in general for all languages, whether the native language matches the interface language or not does not seem to affect the success rate of the search queries. On the other hand, the analysis of the strategy adopted by users when looking for a particular resource shows that people tend to use the simple search tool, frequently first running short queries build up of just one specific term and then browsing through the results to locate the expected resource

DAEDALUS at RepLab 2014: Detecting RepTrak reputation dimensions on tweets

This paper describes our participation at the RepLab 2014 reputation dimensions scenario. Our idea was to evaluate the best combination strategy of a machine learning classifier with a rule-based algorithm based on logical expressions of terms. Results show that our baseline experiment using just Naive Bayes Multinomial with a term vector model representation of the tweet text is ranked second among runs from all participants in terms of accuracy.

DAEDALUS at PAN 2014: Guessing tweet author's gender and age

This paper describes our participation at PAN 2014 author profiling task. Our idea was to define, develop and evaluate a simple machine learning classifier able to guess the gender and the age of a given user based on his/her texts, which could become part of the solution portfolio of the company. We were interested in finding not the best possible classifier that achieves the highest accuracy, but to find the optimum balance between performance and throughput using the most simple strategy and less dependent of external systems. Results show that our software using Naive Bayes Multinomial with a term vector model representation of the text is ranked quite well among the rest of participants in terms of accuracy.

Spoken document retrieval experiments with IR-n system

This paper describes the first participation of IR-n system at Spoken Document Retrieval, focusing on the experiments we made before participation and showing the results we obtained. IR-n system is an Information Retrieval system based on passages and the recognition of sentences to define them. So, the main goal of this experiment is to adapt IR-n system to the spoken document structure by means of the utterance splitter and the overlapping passage technique allowing to match utterances and sentences.