Giuseppe Fenza

University of Salerno

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Vincenzo Loia

University of Salerno

Carmen De Maio

University of Salerno

Francesco Orciuoli

University of Salerno

Mariacristina Gallo

University of Salerno

Sabrina Senatore

University of Salerno

Domenico Furno

University of Salerno

Mimmo Parente

University of Salerno

Claudio Stanzione

University of Salerno

Matteo Gaeta

University of Salerno

Enrique Herrera‐Viedma

Universidad de Granada

Cooperative Institutions

University of Salerno

University of Bari Aldo Moro

University of Naples Federico II

Universidad Carlos III de Madrid

Sapienza University of Rome

University of Turin

University of Campania "Luigi Vanvitelli"

Polytechnic University of Bari

Instituto Politécnico Nacional

University of Genoa

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A framework for context-aware heterogeneous group decision making in business processes

Knowledge-Based Systems (2016)

Carmen De Maio Giuseppe Fenza Vincenzo Loia Francesco Orciuoli Enrique Herrera–Viedma

Group Decision Making

TRACE (psycholinguistics)

10.1016/j.knosys.2016.03.019

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Citations (38)

Research design and writing of scholarly articles: new artificial intelligence tools available for researchers

Endocrine (2024)

Sébastiano Filetti Giuseppe Fenza Alessandro Gallo

Transformative Learning

10.1007/s12020-024-03977-z

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Citations (2)

Fuzzy agents for semantic web services discovery: Experiences in medical diagnostic systems

Vincenzo Loia Giuseppe Fenza Sabrina Senatore

This work presents a hybrid distributed service oriented architecture (SOA), which exploits the agent paradigm to process the local knowledge and define associated semantic Web services. Task-oriented agents achieve decision making activities, by eliciting knowledge coded in proprietary file formats and then transforming this knowledge into deployable web services. Synergistic integration of fuzzy technologies and semantic Web methodologies represents a seamless background-layer for improving the semantic discovery and composition of Web services. A simple case study in medical context validates the applicability and the flexibility of this approach.

Service discovery

10.1109/ia.2009.4927493

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Citations (4)

Program Committee

2021 17th International Conference on Computational Intelligence and Security (CIS) (2021)

Fouad Allouani Bo Chen Buhua Liu Cai Dai Carlos Segura

10.1109/cis54983.2021.00007

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Guest Editorial on “Ethical computational intelligence for cyber market”

Journal of Intelligent & Fuzzy Systems (2021)

Óscar Sanjuán Martínez Giuseppe Fenza Rubén González Crespo

10.3233/jifs-189631

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A Semantic Approach for Continuous Assessment in Organizations

Matteo Gaeta Francesco Orciuoli Giuseppe Fenza Giuseppina Rita Mangione Pierluigi Ritrovato

Assessing employees' competences to properly support Competence-based Management processes (e.g. Career Development, Workforce Planning, etc.) in Organizations is a complex task. Difficulties concern with both the right assessment methodology and the most effective tools. Moreover, the assessment process is time-consuming both for assessors and assessees and often it is performed at the wrong time with considerable costs for external resources. This work proposes a novel approach, based on semantic technologies, to enhance competence assessment in Organizations by analysing content produced, tasks completed and professional relationships established by employees in their day by day activities at the workplace.

Workforce Planning

10.1109/sitis.2012.138

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Citations (2)

Healthcare Conversational Agents: Chatbot for Improving Patient-Reported Outcomes

Lecture notes in networks and systems (2023)

Giuseppe Fenza Francesco Orciuoli Angela Peduto A. Postiglione

Chatbot

10.1007/978-3-031-29056-5_14

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Citations (7)

Online query-focused twitter summarizer through fuzzy lattice

2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2015)

Carmen De Maio Giuseppe Fenza Vincenzo Loia Mimmo Parente

Microblog service has attracted much attention in big data analysis. Twitter statistics remark that the average number of tweets per day is greater than 100 million and many thousands of them happen every minute. It's an urgent challenge to face with such a large amount of collected tweets. This work defines an online query-focused Twitter summarization framework. It crawls and semantically indexes tweets exploiting wikification service. When a user's query is submitted, the system filters out the most relevant tweets. Then, a summarization algorithm browses the knowledge structure extracted by performing a Fuzzy Formal Concept Analysis on the given filtered tweets. Experimental results reveal good performances.

Microblogging

10.1109/fuzz-ieee.2015.7337927

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Citations (5)

A USER-CENTRIC APPROACH TO MODEL SEMANTIC WEB SERVICES REQUEST

Giuseppe Fenza Vincenzo Loia Sabrina Senatore

10.1142/9789812799470_0145

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Citations (0)

RSS-based e-learning recommendations exploiting fuzzy FCA for Knowledge Modeling

Applied Soft Computing (2011)

Carmen De Maio Giuseppe Fenza Matteo Gaeta Vincenzo Loia Francesco Orciuoli

RSS

Web syndication

10.1016/j.asoc.2011.09.004

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Citations (53)