Automatic Genre Classification of Latin Music Using Ensemble of Classifiers

This paper presents a novel approach to the task of automatic music genre classification which is based on ensemble learning. Feature vectors are extracted from three 30-second music segments from the beginning, middle and end of each music piece. Individual classifiers are trained to account for each music segment. During classification, the output provided by each classifier is combined with the aim of improving music genre classification accuracy. Experiments carried out on a dataset containing 600 music samples from two Latin genres (Tango and Salsa) have shown that for the task of automatic music genre classification, the features extracted from the middle and end music segments provide better results than using the beginning music segment. Furthermore, the proposed ensemble method provides better accuracy than using single classifiers and any individual segment

The Latin Music Database

In this paper we present the Latin Music Database, a novel database of Latin musical recordings which has been developed for automatic music genre classification, but can also be used in other music information retrieval tasks. The method for assigning genres to the musical recordings is based on human expert perception and therefore capture their tacit knowledge in the genre labeling process. We also present the ethnomusicology of the genres available in the database as it might provide important information for the analysis of the results of any experiment that employs the database

Characterization of long-term users of nicotine replacement therapy: evidence from a national survey

Introduction: Harm reduction involving partial or complete substitution of cigarettes with nicotine replacement therapy (NRT) is likely to benefit smokers by reducing exposure to carcinogens and by increasing the likelihood of permanent cessation. This article aimed to assess the determinants of short- and long-term NRT use for harm reduction in order to inform interventions aimed at helping smokers struggling to quit to switch to complete NRT substitution. / Methods: Data were used from the Smoking Toolkit Study, a population-based survey of adults in England aged 16 years and older (n = 9,224). Participants were asked about their sociodemographic characteristics and tobacco use. Attitudes toward smoking were also assessed using questions covering 4 factors: motives, identity, evaluations, and plans. / Results: Concurrent short-term (<3 months) and long-term (≥3 months) NRT use was uncommon among smokers at 10.8% (95% confidence interval [CI] = 10.1–11.4) and 5.0% (95% CI = 4.6–5.4), respectively. Long-term NRT users had higher odds of being older, in nonmanual occupations, and more addicted than smokers with short-term or no NRT use (all p < .01). They reported lower odds of attempting to stop and higher odds of exhibiting a positive smoker identity than short-term users (p < .001). Conversely, long-term NRT users had higher odds of having made a recent quit attempt, to have plans to stop, and lower odds of a positive smoker identity than smokers not using NRT (all p < .001). / Conclusions: While users of NRT for harm-reduction purposes are a heterogeneous group, it appears they are more critical of smoking than never users and tend to positively modulate their behavior, setting them on a path toward cessation

Portais Web desenvolvidos no laboratório de bioinformática da Embrapa Soja.

bitstream/item/71973/1/ID-30955.pd

INFOGRAPHIC MODELING BASED ON 3D LASER SURVEYING FOR INFORMED UNIVERSAL DESIGN IN ARCHAEOLOGICAL AREAS: THE CASE OF OPPIDUM OF THE ANCIENT CITY OF TUSCULUM

The valorisation of archaeological sites represents a fundamental action for the social and economic development of a country. An archaeological park is often a territory characterized by significant testimonies of antiquity of great landscape value. For this reason, it should be configured as an authentic outdoor museum, enriched by natural, environmental, architectural and urban components. In order to fulfill these requirements, it is fundamental the elaboration of a coherent scientific project of preservation, fruition and valorisation of the area, which merge the different components necessary for the establishment of an archaeological museum-park. One of the most critical aspects related to the fruition of archaeological sites is the accessibility to areas and routes, not always – if ever – designed for people with reduced mobility, also temporary (for example elderly, obese, visually impaired, etc.). In general, an established principle used in the new design is to pay attention to the so-called wide users, in accordance with the international guidelines summarized in the concept of Universal Design. In particular, this paper presents the use of three-dimensional models obtained from laser scanning surveys for the design of walking trails for people with reduced mobility in the Tusculum Archaeological-Cultural Park. The work was based on the fundamental implementation of the three-dimensional survey with terrestrial laser scanning for the construction and the control of the complex morphology of the site, and on the subsequent integration of models of the intervention in the three-dimensional reality "as-built" of the site. The obtained infographic model allowed to study and simulate the impact of the routes for people with reduced mobility, and to verify its efficiency in the historical and landscape context. Moreover, it was possible to verify the construction of other facilities in the real conditions of the site

Nicotine replacement therapy use among smokers and ex-smokers: associated attitudes and beliefs: a qualitative study.

Smokers who are unwilling or unable to quit smoking may benefit from using nicotine replacement therapy (NRT) for harm reduction. This may include the partial or complete substitution of cigarettes with NRT. A taxonomy of the characteristics of those using NRT for harm reduction would be helpful in tailoring advice and treatment. Although attempts to categorize those using NRT for harm reduction have been made, these have largely been based on quantitative data. In order to provide further in-depth exploration of views, beliefs and experiences, the current study probed issues surrounding NRT and harm reduction qualitatively to better understand barriers and facilitators to this approach

Sistema Web para estimativas de perdas por seca na cultura da soja.

bitstream/item/71974/1/ID-30954.pd

Soybean gene express: plataforma para análise de expressão diferencial e bibliotecas substrativas de cDNA.

bitstream/item/71550/1/ID-30973.pd

Algoritmo computacional para determinar o perfil mínimo de marcadores moleculares que discriminam um conjunto de cultivares.

bitstream/item/71526/1/ID-30986.pd

Ensemble of convolutional neural networks to improve animal audio classification

Abstract In this work, we present an ensemble for automated audio classification that fuses different types of features extracted from audio files. These features are evaluated, compared, and fused with the goal of producing better classification accuracy than other state-of-the-art approaches without ad hoc parameter optimization. We present an ensemble of classifiers that performs competitively on different types of animal audio datasets using the same set of classifiers and parameter settings. To produce this general-purpose ensemble, we ran a large number of experiments that fine-tuned pretrained convolutional neural networks (CNNs) for different audio classification tasks (bird, bat, and whale audio datasets). Six different CNNs were tested, compared, and combined. Moreover, a further CNN, trained from scratch, was tested and combined with the fine-tuned CNNs. To the best of our knowledge, this is the largest study on CNNs in animal audio classification. Our results show that several CNNs can be fine-tuned and fused for robust and generalizable audio classification. Finally, the ensemble of CNNs is combined with handcrafted texture descriptors obtained from spectrograms for further improvement of performance. The MATLAB code used in our experiments will be provided to other researchers for future comparisons at https://github.com/LorisNanni