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Girma Neshir, Andreas Rauber and Solomon Atnafu
Topic Modeling is a statistical process, which derives the latent themes from extensive collections of text. Three approaches to topic modeling exist, namely, unsupervised, semi-supervised and supervised. In this work, we develop a supervised topic model...
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Alessandro Scirè, Fabrizio Tropeano, Aris Anagnostopoulos and Ioannis Chatzigiannakis
Designing advanced health monitoring systems is still an active research topic. Wearable and remote monitoring devices enable monitoring of physiological and clinical parameters (heart rate, respiration rate, temperature, etc.) and analysis using cloud-c...
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Andrea Rondinelli, Lorenzo Bongiovanni and Valerio Basile
Topic classification is the task of mapping text onto a set of meaningful labels known beforehand. This scenario is very common both in academia and industry whenever there is the need of categorizing a big corpus of documents according to set custom lab...
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Francesco Morgan Bono, Luca Radicioni, Simone Cinquemani, Lorenzo Benedetti, Gabriele Cazzulani, Claudio Somaschini and Marco Belloli
Structural health monitoring of civil infrastructure, such as bridges and buildings, has become a trending topic in the last few years. The key factor is the technological push given by new technologies that permit the acquisition, storage, processing an...
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