NEW DATES!
PRELIMINARY 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 27th Edition of the Italian Workshop on Neural Networks (WIRN 2017) will be held at the IIASS of Vietri sul Mare, near Salerno, Italy.
CALL FOR PAPERS
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=wirn2017
SPECIAL SESSIONS
- Computational Intelligence in the context of Industry 4.0
Organizer: Valentina Colla, Silvia Cateni
Scuola Superiore Sant’Anna – Istituto TeCIP Email: colla{s.cateni}@sssup.it
The proposed Special Session is devoted to the latest progresses of computational intelligence (CI) for Industry 4.0, the first a‐priori engineered and the fourth Industrial Revolution. The digitalisation of all the industrial sectors represents a radical change that is transforming the way the processes are being developed and the work is being pursued inside the companies. The objective of this special session is to collect contributions, which prove the success of suitable ANN-based machine learning and CI techniques in the industrial context. The innovative papers or reviews should address how to revolutionise the way that smart designs are generated thereby leading to a step enhancement in manufacturing. The papers could also concentrate on a comparison between novel techniques and state-of-the-art approaches by accentuating the reached benefits.
- Computational Intelligence and Related Techniques in Industrial and ICT Engineering
Organizers: Giovanni Angiulli Dept. DIIES, , Mario Versaci Dept. DICEAM, Universita’ degli Studi di Reggio Calabria, Email: giovanni.angiulli@unirc.it, mario.versaci@unirc.it
Information and Communications Technology (ICT) can be de_ned as the set of methods and technologies that provide to code, transmit, detect, decode and process the information. It can be considered as an essential resource for organizations and industries, for which become increasingly important the ability to manage in a quick, e_ective and e_cient manner the increasing amount of heterogeneous data. This aim requires many transversal skills and sophisticated processing techniques. An importan area of the computer science devoted to model complex systems is the Computational Intelligence (CI). CI is an emerging area of research that embraces arti_cial neural networks, support vector machines, fuzzy logic and evolutionary computation, having the aim to model and analyze complex structures and systems for discovering patterns in data. The primary goal of this special session is to promote researches on the overlap between these two interesting research fields, inviting the investigators to contribute with original research papers.
- Dynamics of Signal Exchanges
Anna Esposito, Antonietta M. Esposito, Sara Invitto, Nadia Mammone, Gennaro Cordasco, Mauro Maldonato, Francesco Carlo Morabito. Email: iiass.annaesp@tin.it
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.
- Neural networks and pattern recognition in medicine
Giansalvo Cirrincione, université de Picardie Jules Verne, Amiens, France and Vitoantonio Bevilacqua, Dip. Ing. Elettrica dell’Informazione, Politecnico di Bari, Italia. Email: exin@u-picardie.fr, vitoantonio.bevilacqua@poliba.it
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.
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. Original papers in pattern recognition, especially as a support to medical diagnosis, are also welcome.
- Intelligent tools for decision making in economics and finance
Marco Corazza, Department of Economics, Ca’ Foscari University of Venice Email: corazza@unive.it
Motivation and relevance: In recent years, in the field of decision making in economics and finance there has been an increasing interest towards the use of intelligent tools. For instance, evolutionary optimizers which show collective intelligence – like the Artificial Bee Colonies, the Genetic Algorithms, the Particle Swarm Optimization – are usually considered to solve financial optimization problems. Or the behavior of economic agents is often modelled on the basis of machine learning techniques – like the Supervised Learning or the Reinforcement one –. Or, again, several economic/financial issues are often addressed in the framework of non standard logics – like the Fuzzy Logic or the one based on the Rough Sets. The contributions of the proposed special session are in this trend. In particular, they highlight the importance of the use of intelligent tools in the investigation of economic/financial phenomena.
Key note speakers
Carlotta Domeniconi (bio), George Mason University, Washington DC (USA) talk: Winnowing the Wheat from the Chaff in Complex and Large Data
The need for mining massive and complex data has become paramount in areas like education, web mining, social network analysis, security, and a variety of scientific pursuits. However many traditional supervised and unsupervised learning algorithms break down when applied in big data scenarios: this is known as the “big data problem”. Among other concerns, big data presents serious scalability difficulties for these algorithms.
In this talk I will discuss the big data problem and solutions in the context of complex data I have worked on in recent years, namely, social networks, text, and educational data. I will also present a new method for distributed machine learning which directly tackles key problems posing challenges to successful and scalable mining of big data. Our method is scalable, general-purpose with regard to the machine learning algorithm, and easily adaptable to a variety of heterogeneous grid or cloud computing scenarios.
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.