Friday, 28 April 2017

IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 1, Issue 2, April 2017

http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7433297


Partitioning of Intelligent Buildings for Distributed Contaminant Detection and Isolation
A. Kyriacou, S. Timotheou, M. P. Michaelides, C. Panayiotou and M. Polycarpou
Page(s): 72-86
http://ieeexplore.ieee.org/document/7843607/

Automatic Microstructure Defect Detection of Ti-6Al-4V Titanium Alloy by Regions-Based Graph
R. Ren, T. Hung and K. C. Tan
Page(s): 87-96
http://ieeexplore.ieee.org/document/7857097/

Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation
R. Cheng, T. Rodemann, M. Fischer, M. Olhofer and Y. Jin
Page(s): 97-111
http://ieeexplore.ieee.org/document/7855746/

Routing Multiple Vehicles Cooperatively: Minimizing Road Network Breakdown Probability
H. Guo, Z. Cao, M. Seshadri, J. Zhang, D. Niyato and U. Fastenrath
Page(s): 112-124
http://ieeexplore.ieee.org/document/7845667/

On Location and Trace Privacy of the Moving Object Using the Negative Survey
W. Luo, Y. Lu, D. Zhao and H. Jiang
Page(s): 125-134
http://ieeexplore.ieee.org/document/7855759/

Parallelizing Under-Determined Inverse Problems for Network Applications
M. Malboubi, J. Garrison, C.-N. Chuah and P. Sharma
Page(s): 135-141
http://ieeexplore.ieee.org/document/7778131/

Saturday, 22 April 2017

CFP: 2017 IEEE LA-CCI - 4rd Latin-American Conference on Computational Intelligence

Universidad Católica San Pablo
Arequipa, Peru (close to Machu Picchu).
November, 8-10th, 2017 [On the 6-7th, prior, we will hold two full days dedicated to the LA-School on CI]

CONFERENCE OVERVIEW (4th Edition of LA-CCI):

IEEE Latin American Conference on Computational Intelligence 2017 aims to bring together the Soft Computing 
community to  present the latest achievements and innovations in the multiple areas of Computational Intelligence, encourage participation by young researchers and following the LA-CCI Manifesto (http://la-cci.org/manifesto/) is to provide a high-level international forum for scientists, researchers, engineers, professionals and educators to disseminate their latest research results and exchange views of the future research directions in the area of Computational Intelligence. 

MAIN-TRACKS:
* Evolutionary & Swarm Computation: Genetic Algorithms, Genetic Programming, Artificial Immune Systems, Swarm Intelligence, Collective Intelligence, Evolvable Hardware, Bio-inspired Methods.
* Neural & Learning Systems: Neural Networks, Machine Learning, Complex Systems, Molecular and Quantum Computing, Complex Networks.
* Fuzzy & Stochastic Modeling: Fuzzy Systems, Fuzzy Control & Decision Making, Uncertainty Analysis, Rough Sets, Fractals, Multiagent Systems, Reinforcement Learning, Game Theory.

KEY-SPEAKERS (CONFIRMED):
- Pablo Estevez – Universidad de Chile (Chile) * Talk: TBA
- Giuseppe Zollo – Università degli Studi di Napoli Federico II (Italy) * Talk: “The Aesthetics of Complexity: how the mind computes the beauty”
- Fernando Buarque de Lima Neto – Universidade de Pernambuco (Brazil) * Talk: “Why Metaheuristics are so useful”  
- Omar Florez – Intel Labs (USA) * Talk: “From Machine Learning to Machine Understanding”
- Mike Preuss – University of Münster (Germany)  * Talk: “Novel developments in CI and Games”

SUBMISSIONS:
Papers should be no longer than 6 pages with original contributions, using the IEEE conference format, available at the event homepage along with other instructions. Papers can be submitted using the Easychair system (https://easychair.org/conferences/?conf=2017ieeelacci).

PUBLICATION (And Special Issues):
-Accepted and presented papers will be published in the IEEE LA-CCI 2016 Conference Proceedings and submitted to IEEE Xplore®
-Top papers of IEEE LA-CCI 2017 will be published as extended versions in important journals related with CI (Including IEEE Latin America Transactions)

IMPORTANT DATES
-Submission of full papers (23:59, GMT -5) – May 14th, 2017  [also Theses Contest Deadline]
-Notification of acceptance and Theses Contest Notification – July 23rd, 2017.
-Final (camera ready) paper due – by August 27th, 2017.
-Author registration – by August 27th, 2017.
-Early registration –  August 1st, 2017.
-Regular registration – September 10th, 2017 and onwards.
-Conference Meeting – November 8-10th, 2017.

POST GRADUATE THESIS CONTEST 
Students graded between January 1st 2016 and June 30th 2017 can send your summaries (2500 words) to Ph.D. Diego Peluffo at diegohpo@gmail.com

LA-CCI SCHOOL on COMPUTATIONAL INTELLIGENCE
Check instructions

VENUE
Arequipa, a pleasant colonial and touristic Peruvian city (18.C in November), is located 1,000 kilometers southeast of Peru’s capital, Lima. 
The town is next to three volcanoes and close to the world heritage of Machu Picchu.

ORGANIZERS
-General Chair LA-CCI 2017
Yván Jesús Túpac Valdivia, Universidad Católica San Pablo – Peru
-General Co-Chair
Efren Gorrostieta, Universidad Autónoma de Querétaro – Mexico

-Program Chair
Fernando Buarque de Lima Neto, Universidade de Pernambuco – Brazil
-Program Co-Chair
Miguel Núñez del Prado, Universidad del Pacífico – Peru

-Publications Chairs
Nadia Nedjah, Universidade Estadual do Rio de Janeiro – Brazil
Carmelo Bastos Filho, Universidade de Pernambuco – Brazil

-Finance Chair and Treasurer
Yessenia Deisy Yari Ramos, Universidad Católica San Pablo – Peru

-Publicity and Public Relations Chairs
ARGENTINA: Cristian Rodriguez Rivero – Universidad Nacional de Córdoba
BOLIVIA: René V. Reynaga – Universidad La Salle
BRAZIL: Hugo Valadares – Federal Technological University of Paraná
COLOMBIA: Álvaro Orjuela – Universidad Antono Nariño
CHILE: Gloria Millaray Curilem Saldías - Universidad de La Frontera
ECUADOR: Diego Hernán Peluffo-Ordóñez– Universidad Técnica del Norte
PERU: Ernesto Cuadros Vargas, Universidad de Ingeniería y Tecnología
MEXICO: Alma Alanis – University of Guadalajara
VENEZUELA: Niriaska del Carmen Perozo – Universidad Centroccidental “Lisandro Alvarado”

Come & enjoy a nice conference as well as a very nice region of Peru 
    Cultural visits will be organized to the world heritage of Machu Picchu)

Thursday, 20 April 2017

Deadline approaching: 2017 International Conference on Data Science and Advanced Analytics


Submission deadline: 25th May 2017

             IEEE DSAA'2017: 2017 International Conference on
                  Data Science and Advanced Analytics

                          Tokyo, Japan
                         October 19-21, 2017

             http://www.dslab.it.aoyama.ac.jp/dsaa2017/
HIGHLIGHTS OF DSAA
  • A very competitive acceptance rate (about 10%) for regular papers
  • Jointly supported by IEEE, ACM and American Statistical Association
  • Strong inter-disciplinary and cross-domain culture
  • Strong engagement of analytics, statistics and industry/government
  • Double blind, and 10 pages in IEEE 2-column format
  • More about DSAA conferences: www.dsaa.co
The Program Committee of the 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2017) invites the submission of technical papers for two main tracks: Research and Applications, and a series of Special Sessions of the conference which will be held in Tokyo, Japan, from October 19th to 21th, 2017. DSAA solicits both theoretical and practical works on data science and advanced analytics. All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to conference topics of interest, originality, significance, and clarity. All accepted papers, including in main tracks and special sessions, will be published by IEEE and will be submitted for inclusion in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE. Top quality papers accepted and presented at the conference will be selected for extension and invited to the special issues of International Journal of Data Science and Analytics (JDSA, Springer).
IEEE DSAA INTRODUCTION Data science encompasses the areas of data analytics, machine learning, statistics, optimization and managing big data, and has become essential to glean understanding from large data sets and convert data into actionable intelligence, be it data available to enterprises, society, Government or on the Web. DSAA takes a strong interdisciplinary approach, features by its strong engagement with statistics and business, in addition to core areas including analytics, learning, computing and informatics. DSAA fosters its unique Trends and Controversies session, Invited Industry Talks session, Panel discussion, and four keynote speeches from statistics, business, and data science. DSAA main tracks maintain a very competitive acceptance rate (about 10%) for regular papers. Following the preceding three editions DSAA'2016 (Montreal), DSAA'2015 (Paris), and DSAA'2014 (Shanghai), DSAA'2017 aims to provide a premier forum that brings together researchers, industry practitioners, as well as potential users of big data, for discussion and exchange of ideas on the latest theoretical developments in Data Science as well as on the best practices for a wide range of applications.
RESEARCH TRACK The Research Track is aimed at collecting original (unpublished nor under consideration at any other venue) and significant contributions related to foundations of Data Science and Analytics. Topics: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfpapers/#topics_research
APPLICATIONS TRACK The Applications Track is aimed at collecting original papers describing better and reproducible practices with substantial contributions to Data Science and Analytics in real life scenarios. Topics: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfpapers/#topics_applications
SPECIAL SESSIONS DSAA special sessions substantially upgrade traditional workshops to encourage emerging topics in data science while maintain rigorous selection criteria. Proposals to organize special sessions and submissions to respective special sessions are highly encouraged.
CONFERENCE VENUE The DSAA’2017 conference will be held at Shinagawa Prince Hotel in Tokyo, Japan. It is just two minutes walk from Shinagawa Station, which is the first stop on the Tokaido Shinkansen from Tokyo Station and is about 20 minutes from Haneda Airport (Tokyo International Airport).
IMPORTANT DATES Paper Submission deadline: May 25, 2017
Notification of acceptance: July 25, 2017
Final Camera-ready papers due: August 15, 2017
Early Registration dealine: August 31, 2017
Conference dates: October 19-21, 2017
For further details, please visit the conference website: http://www.dslab.it.aoyama.ac.jp/dsaa2017/
+++++++++++++++++ OTHER CALLS & IMPORTANT DATES +++++++++++++++++++
Special Session Proposals
Proposal submission: February 25, 2017 Acceptance notification: TBA by Special Session Organizers Special session dates: October 19 ? 21, 2017 For more information: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfspecsessions/
Tutorial Proposals
Proposal submission: May 30, 2017, 11:59pm PST Notification: June 30, 2017 Tutorial slides/other materials due: September 20, 2017, 11:59pm PST Tutorials dates: October 19-21, 2017 For more information:http://www.dslab.it.aoyama.ac.jp/dsaa2017/cftutorials/
Sponsorships
IEEE DSAA'2017 will be held between 19-21 October 2017 in Tokyo, Japan. Sponsorship and opportunities to collaborate with DSAA'2017 should be directed to the DSAA'2017 Sponsorship Co-chairs at dsaa2017[at]dsaa.co. For more information:http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfsponsors/
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
ORGANIZING COMMITTEE General Chairs: Hiroshi Motoda, Osaka University, Japan Fosca Giannotti, Information Science and Technology Institute of the National Research Council at Pisa, Italy Tomoyuki Higuchi, Institute of Statistical Mathematics, Japan Program Chairs -- Research Track Takashi Washio, Osaka University, Japan Joao Gama, University of Porto, Portugal Program Chairs -- Application Track Ying Li, DataSpark Pte. Ltd., Singapore Rajesh Parekh, Facebook, also with KDD2016 and The Hive, USA Special Session Chairs
Huan Liu, Arizona State University, USA Albert Bifet, Telecom ParisTech, France Richard De Veaux, Williams College, USA Trends & Controversies Chairs Philip S. Yu, University of Illinois at Chicago, USA Pau-Choo (Julia) Chung, National Cheng Kung University, Taiwan Award Chair Bamshad Mobasher, DePaul University, USA NGDS (Next Generation Data Scientist) Award Chairs Kenji Yamanishi, University of Tokyo, Japan Xin Wang, University of Calgary, Canada Tutorial Chairs Zhi-Hua Zhou, Nanjing University, China Vincent Tseng, National Chiao Tung University, Taiwan Panel Chairs Geoff Webb, Monash University, Australia Bart Goethals, University of Antwerp, Belgium Invited Industry Talk Chairs Yutaka Matsuo, University of Tokyo, Japan Hang Li, Huawei Technologies, Hong Kong Publicity Chairs Tu Bao Ho, Japan Advanced Institute of Science & Technology, Japan Diane J. Cook, Washington State University Marzena Kryszkiewicz, Warsaw University of Technology, Poland Local Organizing Chairs Satoshi Kurihara, University of Electro-Communications, Japan Hiromitsu Hattori, Ritsumeikan University, Japan Publication Chair Toshihiro Kamishima, National Institute of Advanced Industrial Science and Technology, Japan
Web Chair Kozo Ohara, Aoyama Gakuin University, Japan Sponsorship Chairs Yoji Kiyota, NEXT Co., Ltd, Japan Kiyoshi Izumi, University of Tokyo, Japan Tadashi Yanagihara, KDDI Corp., KDDI R\&D Laboratory, Japan Longbing Cao, University of Technology Sydney, Australia Byeong Kang University of Tasmania, Australia
CONTACT INFORMATION Hiroshi Motoda motoda@ar.sanken.osaka-u.ac.jp Satoshi Kurihara skurihara@uec.ac.jp

Wednesday, 19 April 2017

IEEE Transactions on Fuzzy System, Volume 25, Issue 2, April 2017

http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=91


1. Guest Editorial Special Issue on Fuzzy Techniques in Financial Modeling and Simulation
Author(s): A. Serguieva, H. Ishibuchi, R. R. Yager and V. P. Alade
Page(s): 245-248
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7889091&isnumber=7889062

2. Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification
Author(s): M. Antonelli, D. Bernardo, H. Hagras and F. Marcelloni
Page(s): 249-264
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486979&isnumber=7889062

3. Rough Information Set and Its Applications in Decision Making
Author(s): M. Aggarwal
Page(s): 265-276
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7862144&isnumber=7889062

4. Modeling Stock Price Dynamics With Fuzzy Opinion Networks
Author(s): L. X. Wang
Page(s): 277-301, April 2017.
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7482744&isnumber=7889062

5. Evolving Possibilistic Fuzzy Modeling for Realized Volatility Forecasting With Jumps
Author(s): L. Maciel, R. Ballini and F. Gomide
Page(s): 302-314
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490425&isnumber=7889062

6. FN-TOPSIS: Fuzzy Networks for Ranking Traded Equities
Author(s): A. M. Yaakob, A. Serguieva and A. Gegov
Page(s): 315-332
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7456287&isnumber=7889062

7. Stock Picking by Probability-Possibility Approaches
Author(s): J. M. Le Caillec, A. Itani, D. Guériot and Y. Rakotondratsimba
Page(s): 333-349
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7482672&isnumber=7889062

8. Mean-Variance Portfolio Selection With the Ordered Weighted Average
Author(s): S. Laengle, G. Loyola and J. M. Merigó
Page(s): 350-362
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7497005&isnumber=7889062

9. Fuzzy Decision Theory Based Metaheuristic Portfolio Optimization and Active Rebalancing Using Interval Type-2 Fuzzy Sets
Author(s): G. A. V. Pai
Page(s): 377-391
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7775067&isnumber=7889062

10. Fuzzy Approaches to Option Price Modeling
Author(s): S. Muzzioli and B. De Baets
Page(s): 392-401
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7482699&isnumber=7889062

11. Option Pricing With Application of Levy Processes and the Minimal Variance Equivalent Martingale Measure Under Uncertainty
Author(s): P. Nowak and M. Pawłowski
Page(s): 402-416
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7779081&isnumber=7889062

12. Quanto European Option Pricing With Ambiguous Return Rates and Volatilities
Author(s): J. Zhang and S. Li
Page(s): 417-424
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7534758&isnumber=7889062


13. A Comparison of Bidding Strategies for Online Auctions Using Fuzzy Reasoning and Negotiation Decision Functions
Author(s): P. Kaur, M. Goyal and J. Lu
Page(s): 425-438
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7534768&isnumber=7889062

14. Fuzzy Dynamical System Scenario Simulation-Based Cross-Border Financial Contagion Analysis: A Perspective From International Capital Flows
Author(s): X. Xu, Z. Zeng, J. Xu and M. Zhang
Page(s): 439-459
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7482786&isnumber=7889062

15. Multiobjective Investment Policy for a Nonlinear Stochastic Financial System: A Fuzzy Approach
Author(s): C. F. Wu, B. S. Chen and W. Zhang
Page(s): 460-474
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7482750&isnumber=7889062

16. A Fuzzy Control Model for Restraint of Bullwhip Effect in Uncertain Closed-Loop Supply Chain With Hybrid Recycling Channels
Author(s): S. Zhang, X. Li and C. Zhang
Page(s): 475-482
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7482651&isnumber=7889062

IEEE TNNLS April 2017 Now Available

The following articles appeared in the latest issue of IEEE Transactions on Neural Networks and Learning Systems: Volume 28, Issue 4, April 2017.

This issue published a Special Issue on "Learning in Neuromorphic Systems and Cyborg Intelligence", with papers on spiking neural networks, neuromorphics, feature extraction, reinforcement learning, restricted Boltzmann machine, multi-instance learning, Hopfield neural networks, among others. We welcome your submissions to IEEE TNNLS.

These articles can be retrieved on IEEE Xplore:
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5962385
or directly by clicking the individual paper URL below.

IEEE Transactions on Neural Networks and Learning Systems;
Volume 28, Issue 4, April 2017.

1. Guest Editorial: Special Issue on Learning in Neuromorphic Systems and Cyborg Intelligence
Author(s): Zhaohui Wu; Ryad Benosman; Huajin Tang; Shih-Chii Liu
Page(s): 774 - 777
http://ieeexplore.ieee.org/document/7879462/

2. Triplet Spike Time-Dependent Plasticity in a Floating-Gate Synapse
Author(s): Roshan Gopalakrishnan; Arindam Basu
Page(s): 778 - 790
http://ieeexplore.ieee.org/document/7365476/

3. Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors
Author(s): Xi Peng; Bo Zhao; Rui Yan; Huajin Tang; Zhang Yi
Page(s): 791 - 803
http://ieeexplore.ieee.org/document/7436808/

4. A Binaural Neuromorphic Auditory Sensor for FPGA: A Spike Signal Processing Approach
Author(s): Angel Jiménez-Fernández; Elena Cerezuela-Escudero; Lourdes Miró-Amarante; Manuel Jesus Domínguez-Morales; Francisco de Asís Gómez-Rodríguez; Alejandro Linares-Barranco; Gabriel Jiménez-Moreno
Page(s): 804 - 818
http://ieeexplore.ieee.org/document/7523402/

5. Neuromorphic Artificial Touch for Categorization of Naturalistic Textures
Author(s): Udaya Bhaskar Rongala; Alberto Mazzoni; Calogero Maria Oddo
Page(s): 819 - 829
http://ieeexplore.ieee.org/document/7254187/

6. Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment
Author(s): Shingo Murata; Yuichi Yamashita; Hiroaki Arie; Tetsuya Ogata; Shigeki Sugano; Jun Tani
Page(s): 830 - 848
http://ieeexplore.ieee.org/document/7331274/

7. CONE: Convex-Optimized-Synaptic Efficacies for Temporally Precise Spike Mapping
Author(s): Wang Wei Lee; Sunil L. Kukreja; Nitish V. Thakor
Page(s): 849 - 861
http://ieeexplore.ieee.org/document/7440890/

8. A Novel Algorithm for Learning Sparse Spatio-Spectral Patterns for Event-Related Potentials
Author(s): Chaohua Wu; Ke Lin; Wei Wu; Xiaorong Gao
Page(s): 862 - 872
http://ieeexplore.ieee.org/document/7747470/

9. Quantized Attention-Gated Kernel Reinforcement Learning for Brain–Machine Interface Decoding
Author(s): Fang Wang; Yiwen Wang; Kai Xu; Hongbao Li; Yuxi Liao; Qiaosheng Zhang; Shaomin Zhang; Xiaoxiang Zheng; José C. Principe
Page(s): 873 - 886
http://ieeexplore.ieee.org/document/7335648/

10. Mapping, Learning, Visualization, Classification, and Understanding of fMRI Data in the NeuCube Evolving Spatiotemporal Data Machine of Spiking Neural Networks
Author(s): Nikola K. Kasabov; Maryam Gholami Doborjeh; Zohreh Gholami Doborjeh
Page(s): 887 - 899
http://ieeexplore.ieee.org/document/7585110/

11. An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks
Author(s): Subhrajit Roy; Arindam Basu
Page(s): 900 - 910
http://ieeexplore.ieee.org/document/7508492/

12. Parameter as a Switch Between Dynamical States of a Network in Population Decoding
Author(s): Jiali Yu; Hua Mao; Zhang Yi
Page(s): 911 - 916
http://ieeexplore.ieee.org/document/7302083/

13. A Maximum Entropy Framework for Semisupervised and Active Learning With Unknown and Label-Scarce Classes
Author(s): Zhicong Qiu; David J. Miller; George Kesidis
Page(s): 917 - 933
http://ieeexplore.ieee.org/document/7393573/

14. Manifold-Based Reinforcement Learning via Locally Linear Reconstruction
Author(s): Xin Xu; Zhenhua Huang; Lei Zuo; Haibo He
Page(s): 934 - 947
http://ieeexplore.ieee.org/document/7393833/

15. Adaptive Method for Nonsmooth Nonnegative Matrix Factorization
Author(s): Zuyuan Yang; Yong Xiang; Kan Xie; Yue Lai
Page(s): 948 - 960
http://ieeexplore.ieee.org/document/7394180/

16. An Adaptable Continuous Restricted Boltzmann Machine in VLSI for Fusing the Sensory Data of an Electronic Nose
Author(s): en-Huo Wang; Chen-Ting Tang; Hsin Chen
Page(s): 961 - 974
http://ieeexplore.ieee.org/document/7398093/

17. Scalable Algorithms for Multi-Instance Learning
Author(s): Xiu-Shen Wei; Jianxin Wu; Zhi-Hua Zhou
Page(s): 975 - 987
http://ieeexplore.ieee.org/document/7398097/

18. An Integrated Learning and Filtering Approach for Fault Diagnosis of a Class of Nonlinear Dynamical Systems
Author(s): Christodoulos Keliris; Marios M. Polycarpou; Thomas Parisini
Page(s): 988 - 1004
http://ieeexplore.ieee.org/document/7398083/

19. An Optimization-Based Method for Feature Ranking in Nonlinear Regression Problems
Author(s): Luca Bravi; Veronica Piccialli; Marco Sciandrone
Page(s): 1005 - 1010
http://ieeexplore.ieee.org/document/7398087/

20. Symmetric Complex-Valued Hopfield Neural Networks
Author(s): Masaki Kobayashi
Page(s): 1011 - 1015
http://ieeexplore.ieee.org/document/7394189/

Friday, 14 April 2017

IEEE Computational Intelligence Magazine - May 2017 Issue

The May 2017 issue of the IEEE Computational Intelligence Magazine is available now!

Click here to read the magazine in your browser

Wednesday, 12 April 2017

IEEE Transactions on Evolutionary Computation, Volume 21 Issue 2, April 2017

1. Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes
Author(s): Hisao Ishibuchi; Yu Setoguchi; Hiroyuki Masuda; Yusuke Nojima
Page(s): 169 - 190

2. Adaptive Multimodal Continuous Ant Colony Optimization
Author(s): Qiang Yang; Wei-Neng Chen; Zhengtao Yu; Tianlong Gu; Yun Li; Huaxiang Zhang; Jun Zhang
Page(s): 191 - 205

3. Optimal Computing Budget Allocation for Particle Swarm Optimization in Stochastic Optimization
Author(s): Si Zhang; Jie Xu; Loo Hay Lee; Ek Peng Chew; Wai Peng Wong; Chun-Hung Chen
Page(s): 206 - 219

4. Many-Objective Evolutionary Algorithms Based on Coordinated Selection Strategy
Author(s): Zhenan He; Gary G. Yen
Page(s): 220 - 233

5. A Multiobjective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing
Author(s): Maoguo Gong; Hao Li; Enhu Luo; Jing Liu; Jia Liu
Page(s): 234 - 248

6. Quantifying Variable Interactions in Continuous Optimization Problems
Author(s): Yuan Sun; Michael Kirley; Saman K. Halgamuge
Page(s): 249 - 264

7. A Novel Image Representation Framework Based on Gaussian Model and Evolutionary Optimization
Author(s): Licheng Jiao; Sibo Zhang; Lingling Li; Shuyuan Yang; Fang Liu; Hongxia Hao; Hang Dong
Page(s): 265 - 280

8. Factored Evolutionary Algorithms
Author(s): Shane Strasser; John Sheppard; Nathan Fortier; Rollie Goodman
Page(s): 281 - 293

9. A Classification and Comparison of Credit Assignment Strategies in Multiobjective Adaptive Operator Selection
Author(s): Nozomi Hitomi; Daniel Selva
Page(s): 294 - 314

10. Heterogeneous Cooperative Co-Evolution Memetic Differential Evolution Algorithm for Big Data Optimization Problems
Author(s): Nasser R. Sabar; Jemal Abawajy; John Yearwood
Page(s): 315 - 327