Benvenuto dagli Officers dal Chapter
Benvenuti nell’IEEE Italy Section Computational Intelligence Society Chapter!
Questo sito web si propone di diventare il punto di contatto e incontro per tutti coloro interessati alle tecniche di intelligenza computazionale ed alle relative applicazioni, in modo da facilitare la diffusione e il reperimento di informazioni e opportunità in queste aree. In particolare, saremo lieti di includere riferimenti a persone e laboratori italiani che operano in questo settore, materiali di interesse comune, annunci di eventi e attività, e tutto quanto riterrete utile diffondere.
Francesco Masulli (Presidente)
Alfredo Petrosino (Vicepresidente)
Ruggero Donida Labati (Segretario)
In primo piano
Neural approaches to dimensionality reduction with emphasis on redundancy control
Seminario di Nikhil R. Pal
Politecnico di Milano, 10 Aprile 2017 ore 11.00, Dipartimento di Elettronica, Informazione e Bioingegneria, Aula Seminari
The 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), a top-leading event in the area of theory and application of fuzzy logic, will be held in Naples, Italy. Naples is the third largest municipality in Italy. The city is located in the south of Italy. It is nestled between the islands of Capri, lschia and Procida on one side, and the coast of Amalfi and Sorrento on the other, forming a unique natural heritage in the world. The history of Naples is characterised by a plethora of different dominations that have left inestimable pieces of art and signs of different cultures making the whole urban area a UNESCO World Heritage Site.
New submission deadline: February 10, 2017!
The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14–19, 2017. The conference is organized jointly by the International Neural Network Society and the IEEE Computational Intelligence Society, and is the premiere international meeting for researchers and other professionals in neural networks and related areas. It will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest.
Neuroimaging and Computational Modeling 2016
Brain functions result from dynamic interactions among neuronal populations. Advanced neuroimaging techniques allow representing spatial and temporal brain dynamics and developing phenomenological models to understand the underlying mechanisms and to address the computational reproduction of brain functions
(computation al modeling).
Adding complexity and details to computational models widens the ability to reproduce brain functions and explore the consequences of focal and distributed pathological changes. Model-based simulations allow making inferences about the neurophysiological and neuropathological mechanisms, explain the generation of the measured euroimaging signals and may inspire novel prosthesic and therapeutic devices.
– Biomedical Signals and Images Processing from Central Nervous System and Modelling of Pathophysiological Interpretation (Speaker: Prof. Sergio Cerutti)
– Frontiers of Brain mapping and Therapeutics (Speaker: Dr Pantaleo Romanelli)
Workshop at WCCI: Computational Intelligence Approaches for Multi-View Data Analytic
Over the years, huge quantities of data have been generated by large-scale scientific experiments (biomedical, “omic”, imaging, astronomical, etc.), big industrial companies and on the web. One of the characteristics of such Big Data is that it often includes multiple “views” of the underlying objects. For instance, in biomedical research, various “omics” technologies (e.g. mRNA, miRNA etc.) or imaging technologies (MRI, CT, PET, etc.) can generate multiple measurements of the same biological samples.
In order to exploit this level of complexity, new machine learning and computational intelligence methodologies such as neural networks and graph mining, amongst others, have been proposed to analyze and/or visualize these multi-facets datasets in an attempt to better exploit the information they contain.
The aim of the workshop is to solicit new approaches to real world scientific and industrial big data integration.
IEEE Computational Intelligence Magazine Special Issue on “Model Complexity, Regularization and Sparsity”
This special issue aims at presenting the most relevant regularization techniques and approaches to control model complexity in Computational Intelligence. Submissions of papers presenting regularization methods for Neural Networks, Evolutionary Computation or Fuzzy Systems, are welcome. Submissions of papers presenting advanced regularization techniques in specific, but relevant, application fields such as data/datastream-mining, classification, big-data analytics, image/signal analysis, natural-language processing, are also encouraged.
Special Session “From Big Data to Big Knowledge Using Computational Intelligence in Biomedicine” ( CDCI-12) WCCI 2016
Authors are encouraged to apply CI methods and emphasize how their results could be incorporated into the biomedical domain knowledge. Topics include, but are not limited to: Novel CI approaches for data analysis in biomedicine; Scalable computational intelligence tools for biomedicine; Deep Learning architecture, representations, unsupervised and supervised algorithms; Hardware and Software solutions for Big Data Searching, Storing and Management; Microarray and Next-Generation Sequencing Data Preprocessing and Analysis; Biomedical imaging preprocessing and Analysis; Integration of Microarray NGS OMICS and Clinical Data; Structured and Unstructured Data/Text/Web Mining; Natural Language Processing in Biomedicine; Functional Analysis of differentially expressed and predictive genes; Diagnosis, prognosis, and response to treatment predictive models; Data Visualization and Visual Analytics; Biomedical analysis pipelines, frameworks, and workflows; Pathways and network analysis and visualization; Computational drug design and repositioning; Clinical Decision Support Systems and Electronic Health Records.
Special Session on “Concept Drift, Domain Adaptation & Learning in Dynamic Environments”, IJCNN 2016
One of the fundamental goals in computational intelligence is to achieve brain-like intelligence, a remarkable property of which is the ability to incrementally learn from noisy and incomplete data, and ability to adapt to changing environments. The special session aims at presenting novel approaches to incremental learning and adaptation to dynamic environments both from the more traditional and theoretical perspective of computational intelligence and from the more practical and application-oriented one.
This Special Session aspires at building a bridge between academic and industrial research, providing a forum for researchers in this area to exchange new ideas with each other, as well as with the rest of the neural network & computational intelligence community.
The bi-annual IEEE World Congress on Computational Intelligence (IEEE WCCI) will be held in the magnificent city of Vancouver, Canada in 2016.
IEEE WCCI has traditionally been the largest technical event in the field of computational intelligence, hosting three separate prestigious conferences (IJCNN, FUZZ-IEEE, IEEE CEC) under one roof. Over the years the event has provided a platform for highly acclaimed intellectuals from all over the world to discuss and present their research findings on computational intelligence. The organizing committee will put in place a rich and varied technical program which is designed to engage participants in cross-fertilization of ideas among the three big areas in computational intelligence.
Special Session on Computational Intelligence in Bioinformatics (CIB) WCCI 2016
Bioinformatics, computational biology, and bioengineering present a number of complex problems with large search spaces. Recent applications of Computational Intelligence (CI) in this area suggest that they are well-suited to this area of research. This special session will highlight applications of CI to a broad range of topics. Particular interest will be directed towards novel applications of CI approaches to problems in these areas. The scope of this special session includes evolutionary computation, neural computation, fuzzy systems, artificial immune systems, swarm intelligence, ant-colony optimization, simulated annealing, and other CI methods or hybridizations between CI approaches. Applications of these CI methods to bioinformatics, computational biology, and bioengineering problems are the main focus of this hybrid special session. There is a clear interest in both the Computational Intelligence community and Biology communities for this special session. This hybrid special session is sponsored by the IEEE CIS BBTC (Computational Intelligence Society – Bioinformatics and Bioengineering Technical Committee).
Paper Submission: 15 January 2016
Submission of Accepted Papers: 15 April 2016
Machine Learning: A Computational Intelligence Approach (MLCI-2015)
University of Genova, Italy – Jul 6-10, 2015
The Computational Intelligence is a set of methodologies for information processing inspired by natural systems that in recent decades have been successfully applied to the solution of complex problems. Among them, one can mention the Neural Networks, the Evolutionary Algorithms, the Swarm Intelligence models, the Simulated Annealing, and the Fuzzy sets and Systems. In this course we present some applications of Computational Intelligence methods to supervised and unsupervised problems of Machine Learning.
IEEE CIS Distinguished Lecturer Program: Sushmita Mitra at UNISA
IEEE CIS Distinguished Lecturer Program
Università di Salerno, Fisciano, June 30, 2015
Auditorium (Aula P1), Faculty of Sciences, 3 p.m.
Mining Gene Expressions using Domain Knowledge: Application to Gene Regulation
Speaker: Prof. Sushmita Mitra
Machine Intelligence Unit, Indian Statistical Institute, West Bengal, India
The International Joint Conference on Neural Networks is the premier international conference in the area of neural networks. IJCNN 2015 is organized by the International Neural Network Society (INNS), and sponsored jointly by INNS and the IEEE Computational Intelligence Society – the two leading professional organizations for researchers working in neural networks.
IJCNN 2015 is currently scheduled to be held at the Killarney Convention Center in Killarney, Ireland on July 12 – 16, 2015. It will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest.
IJCNN 2015 Special Session “Emerging Methodologies for Big Data Integration”
Over the years, huge quantities of data have been generated by large-scale scientific experiments (biomedical, “omic”, imaging, astronomical, etc.), big industrial companies and on the web. One of the main characteristics of such Big Data is that they are multi-view, i.e. there are multiple sources (in the “omics” sciences, experiments related to mRNA, miRNA etc.), relate the same patterns (in this case patients) or multi-domain (in biomedical applications for examples, “omics, imaging and clinical data).
As a consequence, new methodologies based on neural networks, machine and statistical learning, computation Intelligence and others, have been proposed to integrate these kinds of big data and to elicit relevant information to infer novel models and correlations.
The aim of the special session is to solicit new approaches to real world scientific and industrial big data integration, as well as applications of above mentioned Big Data methodologies.
IJCNN 2015 Special Session “Modeling and Forecasting Financial and Commodity Markets by Neural Networks”
Behaviors of stock price changes in financial and commodity markets have long been a focus of economic research for a more clear understanding of mechanism and characteristics of markets. In the empirical research, some statistical properties for the market fluctuations are uncovered by the high frequency financial time series, such as fat tails distribution of price changes, power-law of logarithmic returns and volumes, volatility clustering, multifractality of volatility, etc. The applications of neural networks in time series forecasting for financial applications have gained enormous popularity in the recent years. In fact, the analysis of financial time series is of primary importance in the economic world; by using a data driven empirical analysis, the goal is to obtain insights into the dynamics of series and out-of-sample forecasting. If one were able to forecast tomorrow’s returns on an asset with some degree of precision, one could use this information in an investment today.
The aim of this special session, which stems by the excellent success obtained during the 2014 IEEE WCCI Conference held in Beijing, is to promote research and reflect the most recent advances of neural networks, including their hybridization with evolutionary computation, fuzzy systems, metaheuristic techniques and other intelligent methods, in a series of practical problems relevant to the interactions between machine learning and financial modeling and forecasting, the main interest being finalized for searching optimal relationships in the area of financial engineering, energy commodity trading, risk management, portfolio optimization, industrial organization, auctions, searching equilibriums, financial forecasting, market simulation, agent-based computational economics, and many other areas.
IEEE CEC 2015
IEEE CEC 2015 is a world-class conference that brings together researchers and practitioners in the field of evolutionary computation and computational intelligence from around the globe. Technical exchanges within the research community will encompass keynote lectures, regular and special sessions, tutorials, and competitions, as well as poster presentations. In addition, participants will be treated to a series of social functions, receptions, and networking events to establish new connections and foster everlasting friendship among fellow counterparts.
The 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), one of the leading international conferences in the field of fuzzy sets and systems, will be held in Istanbul, Turkey. The conference will provide a platform for researchers and practitioners to interact with one another and discuss the state-of-the-art developments in the field.
In addition to regular oral and poster presentations, the conference will include a full program of tutorials, workshops, panels, special sessions and keynote presentations. Full details of the submission process will be made available on the conference website.