Search results for: Sabrina Senatore

Items from 1 to 20 out of 31 results

article

Differential diagnosis on measles and rubella discarded cases highlights a sharp increase in parvovirus B19 infections in Milan, Northern Italy, in the first months of 2024

Clara Fappani, Maria Gori, Silvia Bianchi, Sabrina Senatore, more

Journal of Medical Virology > 96 > 9 > n/a - n/a

In line with European trends, since 2023 Lombardy (Northern Italy) is experiencing a resurgence of measles and an increased number of reported cases of fever and rash. Measles discarded cases observed in our region within the context of measles and rubella surveillance from the first few months of 2024 (N = 30) were investigated for parvovirus B19 (B19V) and other rash‐associated viruses. Thirteen...

article

Acute Delta Hepatitis in Italy spanning three decades (1991–2019): Evidence for the effectiveness of the hepatitis B vaccination campaign

Tommaso Stroffolini, Filomena Morisco, Luigina Ferrigno, Giuseppina Pontillo, more

Journal of Viral Hepatitis > 29 > 1 > 78 - 86

Updated incidence data of acute Delta virus hepatitis (HDV) are lacking worldwide. Our aim was to evaluate incidence of and risk factors for acute HDV in Italy after the introduction of the compulsory vaccination against hepatitis B virus (HBV) in 1991. Data were obtained from the National Surveillance System of acute viral hepatitis (SEIEVA). Independent predictors of HDV were assessed by logistic‐regression...

article

Improving the emotion‐based classification by exploiting the fuzzy entropy in FCM clustering

Barbara Cardone, Ferdinando Di Martino, Sabrina Senatore

International Journal of Intelligent Systems > 36 > 11 > 6944 - 6967

Emotion detection in the natural language text has drawn the attention of several scientific communities as well as commercial/marketing companies: analyzing human feelings expressed in the opinions and feedback of web users helps understand general moods and support market strategies for product advertising and market predictions. This paper proposes a framework for emotion‐based classification from...

article

A lightweight clustering–based approach to discover different emotional shades from social message streams

Ferdinando Di Martino, Sabrina Senatore, Salvatore Sessa

International Journal of Intelligent Systems > 34 > 7 > 1505 - 1523

With the explosion of social media, automatic analysis of sentiment and emotion from user‐generated content has attracted the attention of many research areas and commercial‐marketing domains targeted at studying the social behavior of web users and their public attitudes toward brands, social events, and political actions. Capturing the emotions expressed in the written language could be crucial...

article

Context-aware profiling of concepts from a semantic topological space

Danilo Cavaliere, Sabrina Senatore, Vincenzo Loia

Knowledge-Based Systems > 2017 > 130 > C > 102-115

In the era of Internet of “everything”, the natural language text is still the undiscussed medium of representing information, as evidenced by the pervasiveness of tweets, instant messages, posts, and documents. There is an increasing need of innovative technologies targeted at a more machine-oriented communication. Many keyword-based and statistical approaches have supported information retrieval,...

article

A semantic-grained perspective of latent knowledge modeling

Paola Della Rocca, Sabrina Senatore, Vincenzo Loia

Information Fusion > 2017 > 36 > C > 52-67

In the era of Web 2.0, the knowledge is the de-facto social currency in the global network environment. Knowledge is not an accumulation of data, but a relation-based representation of the information content, which needs to be distilled and arranged in a semantic infrastructure to guarantee interoperability and sharable understanding.In the light of this scenario, the paper introduces a semantically...

chapter

Sentiment detection for predicting altruistic behaviors in Social Web: A case study

Jacek Filipczuk, Emanuele Pesce, Sabrina Senatore

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) > 4377 - 4382

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

With the advent of Social Web, the user has become an active consumer which shares information and participates in social networks, online communities, blogs, wikis, feeds and chats. The volunteer person-power is a valuable resource which creates innovative content and helps other users to make right decisions with his own opinions, suggestions, advice. Opinions and suggestions have an amazing impact...

article

Legionnaires' disease contracted from patient workplace: First report of a severe case of coinfection with varicella-zoster virus

Chiara Oggioni, Alessandro Za, Francesco Auxilia, Marino Faccini, more

American Journal of Infection Control > 2016 > 44 > 10 > 1164-1165

A middle-aged immunocompetent woman was diagnosed and treated for a severe pulmonary human herpesvirus 3 infection. During the treatment, an infection from Legionella pneumophila serogroup 1 was also diagnosed. This coinfection threatened the life of the patient and led to serious permanent sequelae. This report highlights the importance of preventing Legionella environmental contamination, suspecting...

chapter

Experiences with Shape Classification through Fuzzy c-Means Using Geometrical and Moments Descriptors

Ugo Erra, Sabrina Senatore

Lecture Notes in Computer Science > Adaptive Multimedia Retrieval. Context, Exploration, and Fusion > Finding and Organizing > 189-203

Due to the growing diffusion of digital media, most of real world applications have data with multiple modalities, from multiple sources and in multiple formats. The modelling of information coming from multimedia sources represents an important issue for applications which achieve multimedia mining activities. In particular, the last decades have witnessed great interest in image processing by “mining”...

chapter

Personalized Knowledge Models Using RDF-Based Fuzzy Classification

Vincenzo Loia, Sabrina Senatore

Studies in Fuzziness and Soft Computing > Soft Computing in Web Information Retrieval > Document Classification > 45-64

Summary Due to the constant growth of the Web, the development of new techniques for improving the comprehensibility of the Web assumes a prominent role, in both research and commercial domains. Although emergent trends customize web content, it is a gruelling task to capture web structures, effective semantics and unambiguous results. Sometimes the user’s inquiry is so excessively precise that no...

chapter

Info-Miner: Bridging Agent Technology with Approximate Information Retrieval

Vincenzo Loia, Paolo Luongo, Sabrina Senatore, Maria I. Sessa

Lecture Notes in Computer Science > Advances in Soft Computing — AFSS 2002 > Data Mining > 459-465

In this paper we discuss our research in developing an application for data gathering. The key ideas are to realize an agent-based architecture which merges different technologies and paradigms in order to discover and extract consistent patterns of knowledge from Web pages, that fully describe the user requests. This goal is achieved by embedding into deductive agents the ability to process approximate...

article

Automatic constraints generation for semisupervised clustering: experiences with documents classification

Irene Diaz-Valenzuela, Vincenzo Loia, Maria J. Martin-Bautista, Sabrina Senatore, more

Soft Computing > 2016 > 20 > 6 > 2329-2339

In the last times, semi-supervised clustering has been an area that has received a lot of attention. It is distinguished from more traditional unsupervised approaches on the use of a small amount of supervision to “steer” clustering. Unfortunately in the real world, the supervision is not always available: data to process are often too large and so the cost (in terms of time and human resources) for...

chapter

Fuzzy linguistic aggregation to synthesize the Hourglass of Emotions

Carmine Brenga, Antonio Celotto, Vincenzo Loia, Sabrina Senatore

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) > 1 - 8

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Emotions govern all the human actions and play a key role in decision-making processes. Capturing sentiments and opinions hidden in the written (natural) language is a key activity which attracts both the scientific community, by leading to many novel challenges, and the business world, by supporting market behavior and prediction. Sentiment analysis and Sentic Computing are two interrelated research...

article

Fuzzy linguistic approach to quality assessment model for electricity network infrastructure

Antonio Celotto, Vincenzo Loia, Sabrina Senatore

Information Sciences > 2015 > 304 > Complete > 1-15

In the modern service economy, the consumer satisfaction is one of primary objectives that a company aims at achieving. Successful companies offer high quality of products or services in order to meet the consumers’ expectation, and, at the same time, they safeguard their own profits and increase market competitiveness. The consumer satisfaction is an indicator to estimate how likely a customer will...

article

Approximate TF–IDF based on topic extraction from massive message stream using the GPU

Ugo Erra, Sabrina Senatore, Fernando Minnella, Giuseppe Caggianese

Information Sciences > 2015 > 292 > Complete > 143-161

The Web is a constantly expanding global information space that includes disparate types of data and resources. Recent trends demonstrate the urgent need to manage the large amounts of data stream, especially in specific domains of application such as critical infrastructure systems, sensor networks, log file analysis, search engines and more recently, social networks. All of these applications involve...

chapter

Fuzzy Linguistic Quality Assessment for Public Transport Domain

Carmine Brenga, Antonio Celotto, Sabrina Senatore

2014 International Conference on Intelligent Networking and Collaborative Systems > 125 - 132

2014 International Conference on Intelligent Networking and Collaborative Systems (INCoS)

The primary objective of the marketing set-up is the customers' satisfaction. It is a measure of how products and services supplied by a company meet customer expectations. The companies that know customer expectation can deliver services/products of superior quality compared with those services provided by conceivable competitors, this is the key for the company success in the modern era. This paper...

article

A fuzzy-oriented sentic analysis to capture the human emotion in Web-based content

Vincenzo Loia, Sabrina Senatore

Knowledge-Based Systems > 2014 > 58 > Complete > 75-85

Capturing the sentiments and the emotional states enclosed in textual information is a critical task which embraces a wide range of web-oriented activities such as detecting the sentiments associated to the product reviews, developing marketing programs that would be attractive for users, enhancing customer service with respect to its expectation until to identifying new opportunities and financial...

article

Special issue on knowledge-intensive fusion for context awareness

Sabrina Senatore

Journal of Ambient Intelligence and Humanized Computing > 2013 > 4 > 4 > 409-410

article

Hierarchical web resources retrieval by exploiting Fuzzy Formal Concept Analysis

Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Sabrina Senatore

Information Processing and Management > 2012 > 48 > 3 > 399-418

In recent years, knowledge structuring is assuming important roles in several real world applications such as decision support, cooperative problem solving, e-commerce, Semantic Web and, even in planning systems. Ontologies play an important role in supporting automated processes to access information and are at the core of new strategies for the development of knowledge-based systems. Yet, developing...

article

Obstetric near‐miss cases among women admitted to intensive care units in Italy

SERENA DONATI, SABRINA SENATORE, ALESSANDRA RONCONI, the Regional Maternal Mortality Working Group

Acta Obstetricia et Gynecologica Scandinavica > 91 > 4 > 452 - 457

Objective. Maternal near‐miss defines a narrow category of morbidity encompassing potentially life‐threatening episodes. The purpose of this study was to detect near‐miss instances among women admitted to intensive care units or coronary units, analyze associated causes, and compute absolute and specific maternal morbidity rates in six Italian regions. Design. Observational retrospective study. Setting....

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INFONA - science communication portal

Search results for: Sabrina Senatore

Differential diagnosis on measles and rubella discarded cases highlights a sharp increase in parvovirus B19 infections in Milan, Northern Italy, in the first months of 2024

Acute Delta Hepatitis in Italy spanning three decades (1991–2019): Evidence for the effectiveness of the hepatitis B vaccination campaign

Improving the emotion‐based classification by exploiting the fuzzy entropy in FCM clustering

A lightweight clustering–based approach to discover different emotional shades from social message streams

Context-aware profiling of concepts from a semantic topological space

A semantic-grained perspective of latent knowledge modeling

Sentiment detection for predicting altruistic behaviors in Social Web: A case study

Legionnaires' disease contracted from patient workplace: First report of a severe case of coinfection with varicella-zoster virus

Experiences with Shape Classification through Fuzzy c-Means Using Geometrical and Moments Descriptors

Personalized Knowledge Models Using RDF-Based Fuzzy Classification

Info-Miner: Bridging Agent Technology with Approximate Information Retrieval

Automatic constraints generation for semisupervised clustering: experiences with documents classification

Fuzzy linguistic aggregation to synthesize the Hourglass of Emotions

Fuzzy linguistic approach to quality assessment model for electricity network infrastructure

Approximate TF–IDF based on topic extraction from massive message stream using the GPU

Fuzzy Linguistic Quality Assessment for Public Transport Domain

A fuzzy-oriented sentic analysis to capture the human emotion in Web-based content

Special issue on knowledge-intensive fusion for context awareness

Hierarchical web resources retrieval by exploiting Fuzzy Formal Concept Analysis

Obstetric near‐miss cases among women admitted to intensive care units in Italy

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