WIRN 2018 Workshop on neural networks 2018
28th Italian Workshop on Neural Networks WIRN 2018
WIRN 2018 is sponsored by the Italian Society of Neural Networks (SIREN)
in co‐operation with the International Institute for Advanced Scientific Studies (IIASS)
WIRN 2018 – CALL FOR PAPERS
The Italian Workshop on Neural Networks (WIRN) is the annual conference of the Italian Society of Neural Networks (SIREN). The conference is organized, since 1989, in co-operation with the International Institute for Advanced Scientific Studies (IIASS) of Vietri S/M (Italy), and is a traditional event devoted to the discussion of novelties and innovations related to field of Artificial Neural Networks. In recent years, it also became a multidisciplinary forum on psychological and cognitive theories for modelling human behaviours. The 28th Edition of the Italian Workshop on Neural Networks (WIRN 2018) will be held at the IIASS of Vietri sul Mare, near Salerno, Italy.
CALL FOR PAPERS, SPECIAL SESSIONS PROPOSALS
Prospective authors are invited to contribute high quality papers in the topic areas listed below. Contributions should be high quality, original and not published elsewhere. Papers will be reviewed by the Program Committee, and may be accepted for oral or poster presentation. All accepted contributions will be published in a special volume printed by Springer and indexed by SCOPUS. Authors will be limited to one paper per registration. Please visit the Springer web site for the paper format: (http://www.springer.com/series/8767). Manuscripts should not exceed the limit of 8-10 pages. The submission procedure can be made through Easy Chair: https://easychair.org/conferences/conf=wirn2018
KEY NOTE SPEAKERS
- Prof. Leon Chua, EECS at University of Berkeley, CA
- Prof. Amir Hussain, University of Sterling, UK
- Prof. Alessandro Vinciarelli, Univeristy of Glasgow, UK
TOPIC AREAS
Suggested topics for the conference include, but are not limited to, the following research and application areas:
General Topics of Interest about Computational Intelligence:
Neural Networks, Fuzzy Systems, Evolutionary Computation and Swarm Intelligence, Support Vector Machines, Complex Networks, Bayesian and Kernel Networks, Consciousness and Models of Emotion Cognitive and Psychological Models of Human Behavior.
Algorithms & Architectures:
Among others: Opportunist Networks, Metabolic Networks, ICA and BSS, Deep Neural Networks, Bio-inspired Neural Networks, Wavelet Neural Networks, Intelligent Algorithms for Signal (Speech, Faces, Gestures, Gaze, etc) Processing and Recognition.
Implementations:
Among others: Hardware Implementations and Embedded Systems, Neuromorphic Circuits and Hardware, Spike-based VLSI NNs, Intelligent Interactive Dialogue Systems, Embodied Conversational Agents.
Applications:
Among others: Finance and Economics, Big Data Analysis, Neuroinformatics and Bioinformatics, Brain- Computer Interface and Systems, Data Fusion, Time Series Modelling and Prediction, Intelligent Infrastructure and Transportation Systems, Sensors and Network of Sensors, Smart Grid, Process Monitoring and Diagnosis, Intelligent and Adaptive Systems for Human-Machine Interaction.
SPECIAL SESSION
Neural networks and pattern recognition in medicine
- Giansalvo Cirrincione, Université de Picardie Jules Verne, Amiens, France email: Questo indirizzo email è protetto dagli spambots. E' necessario abilitare JavaScript per vederlo. and Vitoantonio Bevilacqua, Dip. Ing. Elettrica dell’Informazione, Politecnico di Bari, Italia email: Questo indirizzo email è protetto dagli spambots. E' necessario abilitare JavaScript per vederlo.
Since the very beginning, artificial intelligence has been influenced by medicine, and in the same time has impacted on it very strongly. For instance, in the automatic diagnosis, as a help for doctors’ decisions, or as a tool for improving patients’ health or for biomedical signal processing and brain modelling. Neural networks and neural or statistical pattern recognition are ever increasingly important methods in this field. Also, modeling and pattern recognition help in understanding the mechanisms of diseases, like cancer. At this aim, algorithms in data mining and big data are of utmost importance.
This special session aims to illustrate the state of the art and the perspectives of the most recent techniques, both neural, as deep learning, and not, with a special stress on biomedical image and signal processing, medical classification and diagnosis, and analysis of gene expression data. Papers in pattern recognition, especially as a support to medical diagnosis, are also welcome.
Dynamics of Signal Exchanges
- Anna Esposito, Department of Psychology and the International Institute for Advanced Scientific Studies (IIASS), Università della Campania “Luigi Vanvitelli”, Italy (Questo indirizzo email è protetto dagli spambots. E' necessario abilitare JavaScript per vederlo. );
- Antonietta M. Esposito, Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Napoli Osservatorio Vesuviano, Napoli, Italy (Questo indirizzo email è protetto dagli spambots. E' necessario abilitare JavaScript per vederlo. );
- Gennaro Cordasco, Department of Psychology and the International Institute for Advanced Scientific Studies (IIASS), Università della Campania “Luigi Vanvitelli”, Italy (Questo indirizzo email è protetto dagli spambots. E' necessario abilitare JavaScript per vederlo. );
- Nelson Mauro Maldonato, Dipartimento di Neuroscienze and Reproductive Odontostomatological Sciences, Università di Napoli “Federico II”, Napoli, Italy (Questo indirizzo email è protetto dagli spambots. E' necessario abilitare JavaScript per vederlo. );
- Francesco Carlo Morabito, Università degli Studi “Mediterranea” di Reggio Calabria, Italy (Questo indirizzo email è protetto dagli spambots. E' necessario abilitare JavaScript per vederlo. );
- Vincenzo Paolo Senese, Department of Psychology and the International Institute for Advanced Scientific Studies (IIASS), Università della Campania “Luigi Vanvitelli”, Italy (Questo indirizzo email è protetto dagli spambots. E' necessario abilitare JavaScript per vederlo. );
- Carl Vogel, Department of computer Science, Trinity Centre for Computing and Language Studies of Trinity College, Dublin, Ireland (Questo indirizzo email è protetto dagli spambots. E' necessario abilitare JavaScript per vederlo.
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The themes of this special session are multidisciplinary in nature, and closely connected in their final aims to identify features from realistic dynamic of signal exchanges. Such dynamics characterize, formal and informal social signals, communication modes, hearing and vision processes, and brain functionalities. Of particular interest are analyses of visual, written and audio information and corresponding computational efforts to automatically detect and interpret their semantic and pragmatic contents. Related applications of these interdisciplinary facets are ICT interfaces able to detect health and affective states of their users, interpret their psychological and behavioral patterns and support them through positively designed interventions to improve their quality of life.
Topics include but are not limited to:
- Signals for detecting affective wellbeing and emotional states
- Detection of health and psychological states from multimodal signals
- Social networks for information spread and share
- Empathic ICT interfaces
- Computational Architectures for Affective Systems
- Supervised and Unsupervised Learning Algorithms in Affective Systems
- Human and/or machine encoding and decoding of behavioral patterns
- Human daily cognitive activities
- More
PAPER SUBMISSION Important Dates (Preliminary)
- Special Session/Workshop proposals: March 15, 2018
- Paper Submission deadline: April 15, 2018
- Notification of acceptance: May 15, 2018
- Camera-ready copy: on site, June 1, 2018
- Conference Dates: June 13-15, 2018
More detailed instructions will follow soon on www.siren.international and on www.wirn2018.polito.it
Call for papers in PDF format
