Search results for: Vincenzo Loia

Items from 1 to 20 out of 155 results

article

A time‐driven FCA‐based approach for identifying students' dropout in MOOCs

Carlo Blundo, Giuseppe Fenza, Graziano Fuccio, Vincenzo Loia, more

International Journal of Intelligent Systems > 37 > 4 > 2683 - 2705

In online learning, the dropout phenomenon is a relevant issue to address with practical solutions. Several data sets stimulate original, and resolutive data analysis approaches, demonstrating the importance of the dropout phenomenon. This study proposes a novel approach to predicting massive online open course (MOOC) students at risk of dropout stressing the need to consider the temporal dimension...

article

Stabilization of a stock‐loan valuation PDE process using differential flatness theory

Gerasimos G. Rigatos, Pierluigi Siano, Vincenzo Loia, Taniya Ghosh

Asian Journal of Control > 22 > 6 > 2229 - 2241

The article proposes flatness‐based control for stabilization of a stock‐loan valuation process that is described by a partial differential equation. By applying semi‐discretization and the finite differences method, the state‐space model of the stock loan has been obtained. It has been proven that the individual rows of this state‐space model are nonlinear ODEs which can be viewed as differentially...

article

High-performance computing systems and applications for AI

Gangman Yi, Vincenzo Loia

The Journal of Supercomputing > 2019 > 75 > 8 > 4248-4251

article

Improving awareness in early stages of security analysis: A zone partition method based on GrC

Hamido Fujita, Angelo Gaeta, Vincenzo Loia, Francesco Orciuoli

Applied Intelligence > 2019 > 49 > 3 > 1063-1077

We present a method based on granular computing to support decision makers in analysing and protecting large-scale infrastructures or urban areas from external attacks by identifying a suitable partition of the infrastructure or the area under analysis. The method works on a very limited set of information relating to the vulnerabilities of components, and probability information regarding how vulnerabilities...

article

Fuzzy rankings for preferences modeling in group decision making

Nicola Capuano, Francisco Chiclana, Enrique Herrera‐Viedma, Hamido Fujita, more

International Journal of Intelligent Systems > 33 > 7 > 1555 - 1570

Although fuzzy preference relations (FPRs) are among the most commonly used preference models in group decision making (GDM), they are not free from drawbacks. First of all, especially when dealing with many alternatives, the definition of FPRs becomes complex and time consuming. Moreover, they allow to focus on only two options at a time. This facilitates the expression of preferences but let experts...

article

Social media marketing through time‐aware collaborative filtering

Carmen De Maio, Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, more

Concurrency and Computation: Practice and Experience > 30 > 1 > n/a - n/a

Social media is assuming a crucial role in purchasing decisions, and most companies are using social media for marketing. Making sense of the unstructured information content shared by users along the time is an emerging challenge. We advise that the dynamic nature with which trends and user's interests evolve along the timeline requires the revising of well‐assessed methods to address, for instance,...

article

Social network security: Issues, challenges, threats, and solutions

Shailendra Rathore, Pradip Kumar Sharma, Vincenzo Loia, Young-Sik Jeong, more

Information Sciences > 2017 > 421 > C > 43-69

Social networks are very popular in today's world. Millions of people use various forms of social networks as they allow individuals to connect with friends and family, and share private information. However, issues related to maintaining the privacy and security of a user's information can occur, especially when the user's uploaded content is multimedia, such as photos, videos, and audios. Uploaded...

article

Distributed online Temporal Fuzzy Concept Analysis for stream processing in smart cities

Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Francesco Orciuoli

Journal of Parallel and Distributed Computing > 2017 > 110 > C > 31-41

Nowadays, one of the main challenges in the smart cities is mining high-level semantics from low-level activities. In this context, real-time data streams are continuously produced and analysed by efficient and effective algorithms, which are able to handle complexities related to big data, in order to enable the core functions of Decision Support Systems in the smart city. These algorithms should...

article

Making sense of cloud-sensor data streams via Fuzzy Cognitive Maps and Temporal Fuzzy Concept Analysis

Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Francesco Orciuoli

Neurocomputing > 2017 > 256 > C > 35-48

Understanding situations occurring within the physical world by analyzing streams of sensor data is a complex task for both human and software agents. In the area of situation awareness, the observer is typically overwhelmed by information overload and by intrinsic difficulties of making sense of spatially distributed and temporal-ordered sensor observations. Thus, it is desirable to design effective...

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

Joining fuzzy transform and local learning for wind power forecasting

Vincenzo Loia, Stefania Tomasiello, Alfredo Vaccaro

2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS) > 1 - 6

2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)

In this paper, we propose a computational scheme for the problem of wind power forecasting. Such scheme combines a local weighted regression model with fuzzy transform. The latter provides a way to reduce the cardinality of the learning problem, resulting in a more efficient algorithm. Numerical examples show the effectiveness of the proposed approach.

chapter

Granularity into Functional Networks

Vincenzo Loia, Stefania Tomasiello

2017 3rd IEEE International Conference on Cybernetics (CYBCON) > 1 - 6

2017 3rd IEEE International Conference on Cybernetics (CYBCONF)

In the last years, many papers on Granular Neural Networks appeared, aiming at achieving a higher degree of transparency in the network architecture and a better understanding of the involved steps. This paper is a first attempt to emphasize and exploit the notion of granularity into Functional Networks. Functional Networks are a relatively recent alternative to Neural Networks and they have been...

article

Using fuzzy transform in multi-agent based monitoring of smart grids

Vincenzo Loia, Stefania Tomasiello, Alfredo Vaccaro

Information Sciences > 2017 > 388-389 > Complete > 209-224

In this paper, we discuss the main scientific aspects of a Multi-Agent System (MAS), which was designed for monitoring Smart Grids (SGs) with assessment of optimal settings obtained through approximate Optimal Power Flow (OPF) solutions. The consideration behind the approach is that large historical operation dataset are usually available in SGs and employed to extract useful information; besides,...

article

A Fuzzy Group Decision Making Model for Ordinal Peer Assessment

Nicola Capuano, Vincenzo Loia, Francesco Orciuoli

IEEE Transactions on Learning Technologies > 2017 > 10 > 2 > 247 - 259

Massive Open Online Courses (MOOCs) are becoming an increasingly popular choice for education but, to reach their full extent, they require the resolution of new issues like assessing students at scale. A feasible approach to tackle this problem is peer assessment, in which students also play the role of assessor for assignments submitted by others. Unfortunately, students are unreliable graders so...

chapter

A model based on rough sets for situation comprehension and projection

Giuseppe D'Aniello, Angelo Gaeta, Vincenzo Loia, Francesco Orciuoli

2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) > 1 - 7

2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)

We present our results on the definition of a formal and interactive situation model improving comprehension of situations and supporting reasoning on projections of situations. The model is based on the rough sets and allows the creation of lattices that fuse the elements of an environment according to different perspectives and requirements of interest for a human operator. To support rapid decision...

article

Fuzzy Transform Based Compression of Electric Signal Waveforms for Smart Grids

Vincenzo Loia, Stefania Tomasiello, Alfredo Vaccaro

IEEE Transactions on Systems, Man, and Cybernetics: Systems > 2017 > 47 > 1 > 121 - 132

In this paper, a fuzzy-based paradigm for data compression aimed at reducing the computational burden of data analysis in smart grids (SGs) is proposed. In the SG context, it is challenging achieving an efficient use of the channel communication bandwidth and a reduced need of the storage space for operational data. Thus, we discuss a fuzzy-based mathematical kernel which transforms the data into...

article

Unfolding social content evolution along time and semantics

Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Francesco Orciuoli

Future Generation Computer Systems > 2017 > 66 > C > 146-159

In the context of social media, the unstructured and dynamic nature of exchanged data and the information overload contribute to the growth of the number of research works proposing methods to improve performance of intelligent analytics services considering both time and semantics of the shared content. The presented paper focuses on the definition of a knowledge tracking framework to answer questions,...

article

Adaptive Goal Selection for improving Situation Awareness: the Fleet Management case study

Giuseppe D’Aniello, Vincenzo Loia, Francesco Orciuoli

Procedia Computer Science > 2017 > 109 > C > 529-536

Lack of Situation Awareness (SA) when dealing with complex dynamic environments is recognized as one of the main causes of human errors, leading to serious and critical incidents. One of the main issues is the attentional tunneling manifested, for instance, by human operators (in Decision Support Systems) focusing their attention on a single goal and loosing the awareness of the global picture of...

article

An ontology-based model for competence management

Sergio Miranda, Francesco Orciuoli, Vincenzo Loia, Demetrios Sampson

Data & Knowledge Engineering > 2017 > 107 > C > 51-66

In the last years, the need for developing strategies, models and tools to manage competences clearly emerges in numerous scenarios. For instance, this emergence especially raises when it is required to realize effective recruiting platforms, decision support systems for human resource management, learning management systems and so on. This work proposes an ontology-based model for the representation...

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INFONA - science communication portal

Search results for: Vincenzo Loia

A time‐driven FCA‐based approach for identifying students' dropout in MOOCs

Stabilization of a stock‐loan valuation PDE process using differential flatness theory

High-performance computing systems and applications for AI

Improving awareness in early stages of security analysis: A zone partition method based on GrC

Fuzzy rankings for preferences modeling in group decision making

Social media marketing through time‐aware collaborative filtering

Social network security: Issues, challenges, threats, and solutions

Distributed online Temporal Fuzzy Concept Analysis for stream processing in smart cities

Making sense of cloud-sensor data streams via Fuzzy Cognitive Maps and Temporal Fuzzy Concept Analysis

Context-aware profiling of concepts from a semantic topological space

A semantic-grained perspective of latent knowledge modeling

Joining fuzzy transform and local learning for wind power forecasting

Granularity into Functional Networks

Using fuzzy transform in multi-agent based monitoring of smart grids

A Fuzzy Group Decision Making Model for Ordinal Peer Assessment

A model based on rough sets for situation comprehension and projection

Fuzzy Transform Based Compression of Electric Signal Waveforms for Smart Grids

Unfolding social content evolution along time and semantics

Adaptive Goal Selection for improving Situation Awareness: the Fleet Management case study

An ontology-based model for competence management

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