WIRN 2017

27th  Italian Workshop on Neural Networks WIRN 2017

https://wirn2017.polito.it/

WIRN 2017 is sponsored by the Italian Society of Neural Networks (SIREN) 
in co‐operation with the International Institute for Advanced Scientific Studies (IIASS) 

WIRN 2017 –  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 2016) 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 and proposals for special sessions. Special sessions aim to bring together researchers in special focused topics. Each special session should include at least 3 contributing papers. A proposal for a special session should include a summary statement (1 page long) describing the motivation and relevance of the proposed special session, together with the article titles and author names of the papers that will be included in the track. Contributions should be high quality, original and not published elsewhere or submitted for publication during the review period. Please visit the web site for further details of the required paper format. 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. Manuscripts should not exceed the limit of 8 pages. The description of the submission procedure will appear soon on the SIREN Website www.associazionesiren.org

KEY NOTE SPEAKERS

Carlotta Domeniconi, George Mason University, Washington DC (USA)

Title : Winnowing the Wheat from the Chaff in Complex and Large Data

Abstract :

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.

BIO:

Carlotta Domeniconi is an Associate Professor in the Department of Computer Science at George Mason University. Her research interests include machine learning, pattern recognition, educational data mining, and feature relevance estimation, with applications in text mining, bioinformatics, and finance. She has published extensively in premier journals and conferences in machine learning and data mining. She was the program co-Chair of SIAM SDM in 2012 and the co-Chair of a number of workshops, and she is serving as the General Chair for SIAM SDM 2016-17. Dr. Domeniconi has served as PC member and area chair for a variety of top-tier conferences; she was an Associate Editor of the IEEE Transactions of Neural Networks and Learning Systems Journal, and is currently serving on the editorial board of TKDE, KAIS, and Computational Intelligence journals. Dr. Domeniconi is a recipient of an ORAU Ralph E. Powe Junior Faculty Enhancement Award. She has worked as PI or co-PI on projects supported by the NSF, the US Army, the Air Force, the DoD, FINRA, and she is a recipient of an NSF CAREER Award.

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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

Computational Intelligence and Related Techniques in Industrial and ICT Engineering

Computational Intelligence in thecontext of Industry 4.0

Dynamics of Signal Exchanges

Neural Networks and Pattern Recognition

Intelligent tools for decision making in economics and finance

 

PAPER SUBMISSION Important New Dates 

More detailed instructions will follow soon on www.associazionesiren.org and on www.wirn2017.polito.it

Call for papers in PDF format