Human Computer Interaction

Artificial Intelligence for Literature Reviews: Opportunities and Challenges

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“Artificial Intelligence for Literature Reviews: Opportunities and Challenges” is a journal paper accepted at Artificial Intelligence Review. Francisco Bolaños, Angelo Antonio Salatino, Francesco Osborne, Enrico Motta Knowledge Media Institute, The Open University, Milton Keynes (UK)   Abstract This manuscript presents a comprehensive review of the use of Artificial Intelligence (AI) in Systematic Literature Reviews (SLRs). A … Read more

AIDA-Bot: A Conversational Agent to Explore Scholarly Knowledge Graphs

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“AIDA-Bot: A Conversational Agent to ExploreScholarly Knowledge Graphs” is a demo paper accepted for presentation at the International Semantic Web Conference (ISWC 2021) poster and demo session. Antonello Meloni1, Simone Angioni1, Angelo Antonio Salatino2, Francesco Osborne2, Diego Reforgiato Recupero1, Enrico Motta2 1 Department of Mathematics and Computer Science, University of Cagliari (Italy) 2 Knowledge Media … Read more

1st Smart City and Robotic Challenge (SCiRoC 2019)

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Last week — 18th to 21st September 2019 — the first International Competition on Smart Cities and Robotics took place in Milton Keynes (UK). Different teams from Spain, UK, Germany, France, Portugal and others took part in this competition. As the name suggests, SCiRoC aims at bringing robots in the context of smart cities. Indeed, their primary objective was to interact both with smart cities infrastructures, such as the MK Data Hub, and citizens.

Improving Editorial Workflow and Metadata Quality at Springer Nature

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Identifying the research topics that best describe the scope of a scientific publication is a crucial task for editors, in particular because the quality of these annotations determine how effectively users are able to discover the right content in online libraries. For this reason, Springer Nature, the world’s largest academic book publisher, has traditionally entrusted this task to their most expert editors. These editors manually analyse all new books, possibly including hundreds of chapters, and produce a list of the most relevant topics. Hence, this process has traditionally been very expensive, time-consuming, and confined to a few senior editors. For these reasons, back in 2016 we developed Smart Topic Miner (STM), an ontology-driven application that assists the Springer Nature editorial team in annotating the volumes of all books covering conference proceedings in Computer Science. Since then STM has been regularly used by editors in Germany, China, Brazil, India, and Japan, for a total of about 800 volumes per year. Over the past three years the initial prototype has iteratively evolved in response to feedback from the users and evolving requirements.

2100 AI: Reflections on the mechanisation of scientific discovery

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“2100 AI: Reflections on the mechanisation of scientific discovery” is a paper submitted to the RE-CODING BLACK MIRROR Workshop co-located with the International Semantic Web Conference (ISWC) 2017, 21-25 October 2017, Vienna, Austria.

Authors

Andrea Mannocci, Angelo Salatino, Francesco Osborne and Enrico Motta

Abstract

The pace of nowadays research is hectic. Datasets and papers are produced and made available on the Web at a rate so unprecedented that digesting the information conveyed by such a “data deluge” stretches far beyond human analytical capabilities. Data science, artificial intelligence, machine learning and big data analytics are providing researchers with new methodologies capable of coping and getting insight in an automated fashion from the overload of information conveyed. Nonetheless major advances in AI solutions for knowledge discovery risk to exacerbate some negative phenomena, which are already observable on a global scale and disrupt irremediably the way of doing science as we know it.

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Advanced classification of Alzheimer's disease and healthy subjects based on EEG markers

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Authors:

Vitoantonio Bevilacqua, Angelo Antonio Salatino, Carlo Di Leo, Giacomo Tattoli, Domenico Buongiorno, Domenico Signorile, Claudio Babiloni, Claudio Del Percio, Antonio Ivano Triggiani, Loreto Gesualdo

Abstract:

In this study, we compared several classifiers for the supervised distinction between normal elderly and Alzheimer’s disease individuals, based on resting state electroencephalographic markers, age, gender and education.

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Smart Health 2.0

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The goal of the project “Smart Health 2.0” is the realization of a technological system that implements an innovative model of healthcare based on the paradigm of digital open architecture, modular and scalable. The system allows to enable the development of new models of applicative cooperation among different operating entities in the field of Health, … Read more

Introductory Lecture to Audio Signal Processing

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With this post, slides and source code, used during the introductory lecture on Audio Signal Processing for Human Computer Interaction, are presented. The slides are available on my Slideshare profile or you can follow the link below. Instead, for source code you can download a zip using the GitHub section below or cloning the repository. The … Read more

Evaluation of Resonance in Staff Selection through Multimedia Contents

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system
Example of scenario during the interview.

 

Authors:

Vitoantonio Bevilacqua, Angelo Antonio Salatino, Carlo Di Leo, Dario D’Ambruoso, Marco Suma, Donato Barone, Giacomo Tattoli, Domenico Campagna, Fabio Stroppa, Michele Pantaleo

Abstract:

In this paper we present the results of an experimental Italian research project finalized to support the classification process of the two behavioural status (resonance and dissonance) of a candidate applying for a job position.

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Design and Implementation of an innovative framework for Speech Emotion Recognition

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[English]

With this article I want to publish my thesis work in Human-Computer Interaction, for the Master’s Degree in Computer Systems Engineering at Polytechnic of Bari. 

The entire thesis has been written in Italian. For this reason, I have prepared a English brief summary explaining all materials, methods, results and conclusions. Use the following link to read the abstract: My Thesis Abstract.pdf.

[Italiano]

Titolo in Italiano: “Progettazione e implementazione di un innovativo framework per il riconoscimento delle emozioni vocali”.

Con questo post si vuole pubblicare il lavoro di tesi, svolto nella disciplina di Interazione Uomo Macchina, per la Laurea Magistrale in Ingegneria Informatica al Politecnico di Bari.

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