Soft Computing, Volume 21, Number 9, May 2017

1. A unified view of consistent functions
Author(s): Ping Zhu, Huiyang Xie, Qiaoyan Wen
Pages: 2189-2199

2. On the category of rough sets
Author(s): R. A. Borzooei, A. A. Estaji, M. Mobini
Pages: 2201-2214

3. An adaptive memetic framework for multi-objective combinatorial optimization problems: studies on software next release and travelling salesman problems
Author(s): Xinye Cai, Xin Cheng, Zhun Fan, Erik Goodman, Lisong Wang
Pages: 2215-2236

4. A parallel algorithm for mining constrained frequent patterns using MapReduce
Author(s): Xiaowu Yan, Jifu Zhang, Yaling Xun, Xiao Qin
Pages: 2237-2249

5. A unified framework for the key weights in MAGDM under uncertainty
Author(s): Kaihong Guo, Wenli Li
Pages: 2251-2262

6. Remarks to “Fuzzy multicriteria decision making method based on the improved accuracy function for interval-valued intuitionistic fuzzy sets”
Author(s): Fangwei Zhang, Shihe Xu
Pages: 2263-2268

7. Classification with boosting of extreme learning machine over arbitrarily partitioned data
Author(s): Ferhat Özgür Çatak
Pages: 2269-2281

8. Nadir point estimation for many-objective optimization problems based on emphasized critical regions
Author(s): Handing Wang, Shan He, Xin Yao
Pages: 2283-2295

9. A solid transportation model with product blending and parameters as rough variables
Author(s): Pradip Kundu, Mouhya B. Kar, Samarjit Kar, Tandra Pal, Manoranjan Maiti
Pages: 2297-2306

10. Hybrid of binary gravitational search algorithm and mutual information for feature selection in intrusion detection systems
Author(s): Hamid Bostani, Mansour Sheikhan
Pages: 2307-2324

11. An interval type-2 fuzzy active contour model for auroral oval segmentation
Author(s): Jiao Shi, Jiaji Wu, Marco Anisetti, Ernesto Damiani, Gwanggil Jeon
Pages: 2325-2345

12. Marginal patch alignment for dimensionality reduction
Author(s): Jie Xu, Shengli Xie, Wenkang Zhu
Pages: 2347-2356

13. MSAFIS: an evolving fuzzy inference system
Author(s): José de Jesús Rubio, Abdelhamid Bouchachia
Pages: 2357-2366

14. A method of combining forward with backward greedy algorithms for sparse approximation to KMSE
Author(s): Yong-Ping Zhao, Dong Liang, Zheng Ji
Pages: 2367-2383

15. On randomization of neural networks as a form of post-learning strategy
Author(s): K. G. Kapanova, I. Dimov, J. M. Sellier
Pages: 2385-2393

16. A direct projection-based group decision-making methodology with crisp values and interval data
Author(s): Zhongliang Yue, Yuying Jia
Pages: 2395-2405

17. Ensemble of many-objective evolutionary algorithms for many-objective problems
Author(s): Yalan Zhou, Jiahai Wang, Jian Chen, Shangce Gao, Luyao Teng
Pages: 2407-2419

18. Trajectory planning for autonomous mobile robot using a hybrid improved QPSO algorithm
Author(s): Tao Xue, Renfu Li, Myongchol Tokgo, Junchol Ri, Gyanghyok Han
Pages: 2421-2437

19. An exact approach for the grocery delivery problem in urban areas
Author(s): F. Carrabs, R. Cerulli, A. Sciomachen
Pages: 2439-2450

20. Personalized cryptography in cognitive management
Author(s): Lidia Ogiela, Makoto Takizawa
Pages: 2451-2464

Review for 18 April 2017

Below are some of the interesting links I Tweeted about recently.

1. Did an AI spam generator just get funded? https://techcrunch.com/2017/04/09/saleswhale-seed-funding/
2. AI? Sounds more like a calendar! Maybe the dosage is set by an expert system: http://www.techrepublic.com/article/new-study-shows-how-ai-can-improve-recovery-in-stroke-patients/ 
3. Distributing machine learning learning on smartphones: http://www.theverge.com/2017/4/10/15241492/google-ai-user-data-federated-learning Privacy win!
4. Detecting cows with machine learning to make Indian roads safer: https://motherboard.vice.com/en_us/article/machine-learning-will-save-indias-cows-from-bad-drivers I've been to India, cows really are everywhere.
5. AlphaGo is to take on multiple human opponents simultaneously: https://www.theguardian.com/technology/2017/apr/10/deepminds-alphago-to-take-on-five-human-players-at-once 
6. Common mistakes in machine learning projects: https://www.datanami.com/2017/04/11/four-common-mistakes-machine-learning-projects/ #1 is similar to my bugbear: biased data sets!
7. Google AutoDraw converts your doodles into proper drawings using machine learning: https://techcrunch.com/2017/04/11/googles-autodraw-uses-machine-learning-to-help-you-draw-like-a-pro/
8. Using machine learning to detect anomalies in data streams: https://techcrunch.com/2017/04/12/sisense-pulse-uses-machine-learning-to-trigger-data-anomaly-alerts/
9. Detecting fake news with a naive Bayesian classifier: http://www.kdnuggets.com/2017/04/machine-learning-fake-news-accuracy.html 
10. A list of cheat-sheets for data science and machine learning: http://www.datasciencecentral.com/profiles/blogs/20-cheat-sheets-python-ml-data-science
11. Fooling image recognition/classifier systems: http://www.theverge.com/2017/4/12/15271874/ai-adversarial-images-fooling-attacks-artificial-intelligence 
12. A basic introduction to neural networks: https://techcrunch.com/2017/04/13/neural-networks-made-easy/ 
13. Bias in data sets leads to bias in models, there is nothing surprising about that: https://www.theguardian.com/technology/2017/apr/13/ai-programs-exhibit-racist-and-sexist-biases-research-reveals 
14. My citations have just topped 1000: https://scholar.google.com/citations?user=Z29KBKYAAAAJ

IEEE Transactions on Evolutionary Computation, Volume 21, Number 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
Pages: 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
Pages: 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
Pages: 206 - 219

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

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

6. Quantifying Variable Interactions in Continuous Optimization Problems
Author(s): Yuan Sun; Michael Kirley; Saman K. Halgamuge
Pages: 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
Pages: 265 - 280

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

9. A Classification and Comparison of Credit Assignment Strategies in Multiobjective Adaptive Operator Selection
Author(s): Nozomi Hitomi; Daniel Selva
Pages: 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
Pages: 315 - 327

IEEE Transactions on Fuzzy Systems, Volume 25, Number 2, April 2017

1. Guest Editorial Special Issue on Fuzzy Techniques in Financial Modeling and Simulation
Author(s): A. Serguieva; H. Ishibuchi; R. R. Yager; V. P. Alade
Pages: 245 - 248

2. Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification
Author(s): Michela Antonelli; Dario Bernardo; Hani Hagras; Francesco Marcelloni
Pages: 249 - 264

3. Rough Information Set and Its Applications in Decision Making
Author(s): Manish Aggarwal
Pages: 265 - 276

4. Modeling Stock Price Dynamics With Fuzzy Opinion Networks
Author(s): Li-Xin Wang
Pages: 277 - 301

5. Evolving Possibilistic Fuzzy Modeling for Realized Volatility Forecasting With Jumps
Author(s): Leandro Maciel; Rosangela Ballini; Fernando Gomide
Pages: 302 - 314

6. FN-TOPSIS: Fuzzy Networks for Ranking Traded Equities
Author(s): Abdul Malek Yaakob; Antoaneta Serguieva; Alexander Gegov
Pages: 315 - 332

7. Stock Picking by Probability–Possibility Approaches
Author(s): Jean-Marc Le Caillec; Alya Itani; Didier Guériot; Yves Rakotondratsimba
Pages: 333 - 349

8. Mean-Variance Portfolio Selection With the Ordered Weighted Average
Author(s): Sigifredo Laengle; Gino Loyola; José M. Merigó
Pages: 350 - 362

9. Adaptive Budget-Portfolio Investment Optimization Under Risk Tolerance Ambiguity
Author(s): Shuming Wang; Bo Wang; Junzo Watada
Pages: 363 - 376

10. Fuzzy Decision Theory Based Metaheuristic Portfolio Optimization and Active Rebalancing Using Interval Type-2 Fuzzy Sets
Author(s): G. A. Vijayalakshmi Pai
Pages: 377 - 391

11. Fuzzy Approaches to Option Price Modeling
Author(s): Silvia Muzzioli; Bernard De Baets
Pages: 392 - 401

12. Option Pricing With Application of Levy Processes and the Minimal Variance Equivalent Martingale Measure Under Uncertainty
Author(s): Piotr Nowak; Michał Pawłowski
Pages: 402 - 416

13. Quanto European Option Pricing With Ambiguous Return Rates and Volatilities
Author(s): Junfei Zhang; Shoumei Li
Pages: 417 - 424

14. A Comparison of Bidding Strategies for Online Auctions Using Fuzzy Reasoning and Negotiation Decision Functions
Author(s): Preetinder Kaur; Madhu Goyal; Jie Lu
Pages: 425 - 438

15. Fuzzy Dynamical System Scenario Simulation-Based Cross-Border Financial Contagion Analysis: A Perspective From International Capital Flows
Author(s): Xinxin Xu; Ziqiang Zeng; Jiuping Xu; Mengxiang Zhang
Pages: 439 - 459

16. Multiobjective Investment Policy for a Nonlinear Stochastic Financial System: A Fuzzy Approach
Author(s): Chien-Feng Wu; Bor-Sen Chen; Weihai Zhang
Pages: 460 - 474

17. A Fuzzy Control Model for Restraint of Bullwhip Effect in Uncertain Closed-Loop Supply Chain With Hybrid Recycling Channels
Author(s): Songtao Zhang; Xue Li; Chunyang Zhang
Pages: 475 - 482

IEEE Transactions on Computational Intelligence and AI in Games, Volume 9, Number 1, March 2017

1. A Hyperheuristic Methodology to Generate Adaptive Strategies for Games
Author(s): Jiawei Li; Graham Kendall
Pages: 1 - 10

2. Opponent Modeling by Expectation–Maximization and Sequence Prediction in Simplified Poker
Author(s): Richard Mealing; Jonathan L. Shapiro
Pages: 11 - 24

3. Neuroevolution in Games: State of the Art and Open Challenges
Author(s): Sebastian Risi; Julian Togelius
Pages: 25 - 41

4. Creating Affective Autonomous Characters Using Planning in Partially Observable Stochastic Domains
Author(s): Xiangyang Huang; Shudong Zhang; Yuanyuan Shang; Weigong Zhang; Jie Liu
Pages: 42 - 62

5. Rapid Skill Capture in a First-Person Shooter
Author(s): David Buckley; Ke Chen; Joshua Knowles
Pages: 63 - 75

6. Partition Search Revisited
Author(s): Piotr Beling
Pages: 76 - 87

7. Only-One-Victor Pattern Learning in Computer Go
Author(s): Jiao Wang; Chenjun Xiao; Tan Zhu; Chu-Husan Hsueh; Wen-Jie Tseng; I-Chen Wu
Pages: 88 - 102

8. Automatic Classification of Player Complaints in Social Games
Author(s): Koray Balcı; Albert Ali Salah
Pages: 103 - 108

Review for 10 April 2017

Below are some of the interesting links I Tweeted about recently.

1. The limits of deep learning, from the point of view of a psychologist: https://techcrunch.com/2017/04/01/discussing-the-limits-of-artificial-intelligence/
2. Photographic style transfer using deep neural networks: http://www.theverge.com/2017/3/30/15124466/ai-photo-style-transfer-deep-neural-nets-adobe 
3. AI and automation might not cause a wholesale destruction of jobs after all: http://www.theregister.co.uk/2017/03/30/ai_jobs_doomsday_may_not_actually_happen_say_boffins/ 
4. How to launch a successful AI startup: http://www.techrepublic.com/article/how-to-launch-a-successful-ai-startup/ 
5. Optimising social media campaigns with AI-not sure what the AI part is, though: https://techcrunch.com/2017/04/04/clearmob-social-campaigns/ 
6. Top 16 R packages for machine learning-beware, need to register to download full list: http://blog.thedataincubator.com/2017/03/ranked-16-r-packages-for-machine-learning/ 
7. Will some governments introduce a "human quota" as more work becomes automated? https://www.theguardian.com/technology/2017/apr/04/innovation-in-ai-could-see-governments-introduce-human-quotas-study-says 
8. A model of AI maturity: http://www.kdnuggets.com/2017/04/ai-maturity-model.html 
9. Top mistakes data scientists make: https://cyborgus.com/2017/04/03/top-mistakes-data-scientists-make/ 
10. My friend @DavidBFogel has a new website up with curated news on science, tech, AI: http://www.davidfogel.com
11. Improved sentiment analysis with a recurrent neural network: https://techcrunch.com/2017/04/07/openai-sets-benchmark-for-sentiment-analysis-using-an-efficient-mlstm/ 
12. Using ML to improve selfies: http://www.theverge.com/tldr/2017/4/6/15209202/adobe-sensei-selfie-improving-ai-machine-learning 
13. Keeping private data private when using it to train AI: https://motherboard.vice.com/en_us/article/google-thinks-it-can-solve-artificial-intelligences-privacy-problem 
14. Do laptops in class harm academic performance? Probably depends on the subject: https://www.timeshighereducation.com/news/using-laptops-in-class-harms-academic-performance-study-warns 
15. Levels of data readiness for organisations approaching AI applications: http://www.datasciencecentral.com/profiles/blogs/data-readiness-strategies-for-ai-start-ups 
16. Build TensorFlow ANN faster with Sonnet, now open-sourced by Google: https://techcrunch.com/2017/04/07/google-deepmind-open-sources-sonnet-so-you-can-build-neural-networks-in-tensorflow-even-quicker/

Soft Computing, Volume 21, Issue 8, April 2017

1. Fuzzy prime and maximal filters of residuated lattices
Author(s): Albert Kadji, Celestin Lele, Marcel Tonga
Pages: 1913-1922

2. A novel soft rough fuzzy set: Z-soft rough fuzzy ideals of hemirings and corresponding decision making
Author(s): Jianming Zhan, Kuanyun Zhu
Pages: 1923-1936

3. Multi-view spectral clustering via robust local subspace learning
Author(s): Lin Feng, Lei Cai, Yang Liu, Shenglan Liu
Pages: 1937-1948

4. Parallel multi-objective metaheuristics for smart communications in vehicular networks
Author(s): Jamal Toutouh, Enrique Alba
Pages: 1949-1961

5. A novel semi-supervised learning method for Internet application identification
Author(s): Zhenxiang Chen, Zhusong Liu, Lizhi Peng, Lin Wang, Lei Zhang
Pages: 1963-1975

6. Image fusion by combining multiwavelet with nonsubsampled direction filter bank
Author(s): Geng Peng, Zhengyou Wang, Shuaiqi Liu, Shanna Zhuang
Pages: 1977-1989

7. Channel Status based Sliding Contention Window (CS-SCW) algorithm: A Fuzzy Control Approach for Medium Access in Wireless Networks
Author(s): B. Nithya, C. Mala, E. Sivasankar
Pages: 1991-2004

8. A semantics-based approach to multi-source heterogeneous information fusion in the internet of things
Author(s): Feng Wang, Liang Hu, Jin Zhou, Jiejun Hu, Kuo Zhao
Pages: 2005-2013

9. A two-agent single-machine scheduling problem with late work criteria
Author(s): Du-Juan Wang, Chao-Chung Kang, Yau-Ren Shiau, Chin-Chia Wu
Pages: 2015-2033

10. Flexible neural trees based early stage identification for IP traffic
Author(s): Zhenxiang Chen, Lizhi Peng, Chongzhi Gao, Bo Yang, Yuehui Chen, Jin Li
Pages: 2035-2046

11. A SOM-based Chan–Vese model for unsupervised image segmentation
Author(s): Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
Pages: 2047-2067

12. Multi-objective genetic programming for feature extraction and data visualization
Author(s): Alberto Cano, Sebastián Ventura, Krzysztof J. Cios
Pages: 2069-2089

13. A two-machine flowshop scheduling problem with precedence constraint on two jobs
Author(s): Shuenn-Ren Cheng, Yunqiang Yin, Chih-Hou Wen, Win-Chin Lin, Chin-Chia Wu
Pages: 2091-2103

14. Differential Evolution with Grid-Based Parameter Adaptation
Author(s): Vasileios A. Tatsis, Konstantinos E. Parsopoulos
Pages: 2105-2127

15. Global harmony search with generalized opposition-based learning
Author(s): Zhaolu Guo, Shenwen Wang, Xuezhi Yue, Huogen Yang
Pages: 2129-2137

16. GA-SVM modeling of multiclass seizure detector in epilepsy analysis system using cloud computing
Author(s): Chia-Ping Shen, Jeng-Wei Lin, Feng-Sheng Lin, Andy Yan-Yu Lam, Wei Chen
Pages: 2139-2149

17. A position-aware Merkle tree for dynamic cloud data integrity verification
Author(s): Jian Mao, Yan Zhang, Pei Li, Teng Li, Qianhong Wu, Jianwei Liu
Pages: 2151-2164

18. An improved fuzzy algorithm for image segmentation using peak detection, spatial information and reallocation
Author(s): Xiaofeng Zhang, Gang Wang, Qingtang Su, Qiang Guo, Caiming Zhang
Pages: 2165-2173

19. Enabling public auditability for operation behaviors in cloud storage
Author(s): Hui Tian, Zhaoyi Chen, Chin-Chen Chang, Minoru Kuribayashi
Pages: 2175-2187

Neural Networks, Volume 89, Pages 1-104, May 2017

1. A weighted information criterion for multiple minor components and its adaptive extraction algorithms   
Author(s): Yingbin Gao, Xiangyu Kong, Huihui Zhang, Li’an Hou
Pages: 1-10

2. A new neural network model for solving random interval linear programming problems   
Author(s): Ziba Arjmandzadeh, Mohammadreza Safi, Alireza Nazemi
Pages: 11-18

3. Fractional-order gradient descent learning of BP neural networks with Caputo derivative   
Author(s): Jian Wang, Yanqing Wen, Yida Gou, Zhenyun Ye, Hua Chen
Pages: 19-30

4. Perceptual category learning and visual processing: An exercise in computational cognitive neuroscience   
Author(s): George Cantwell, Maximilian Riesenhuber, Jessica L. Roeder, F. Gregory Ashby
Pages: 31-38

5. Dynamics of complex-valued fractional-order neural networks   
Author(s): Eva Kaslik, Ileana Rodica Rădulescu
Pages: 39-49

6. Stability and instability of a neuron network with excitatory and inhibitory small-world connections   
Author(s): Dongyuan Yu, Xu Xu, Jing Zhou, Eric Li
Pages: 50-60

7. H_infinity-image state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through Fading channels   
Author(s): Nan Hou, Hongli Dong, Zidong Wang, Weijian Ren, Fuad E. Alsaadi
Pages: 61-73

8. Fixed-time stability of dynamical systems and fixed-time synchronization of coupled discontinuous neural networks   
Author(s): Cheng Hu, Juan Yu, Zhanheng Chen, Haijun Jiang, Tingwen Huang
Pages: 74-83

9. Two-stage sparse coding of region covariance via Log-Euclidean kernels to detect saliency   
Author(s): Ying-Ying Zhang, Cai Yang, Ping Zhang
Pages: 84-96

10. Global dissipativity analysis for delayed quaternion-valued neural networks   
Author(s): Zhengwen Tu, Jinde Cao, Ahmed Alsaedi, Tasawar Hayat
Pages: 97-104

Review for 3 April 2017

Below are some of the interesting links I Tweeted about recently.

1. Naive and jingoistic criticism of IEEE president-everything an organisation the size of the IEEE does is political: http://theinstitute.ieee.org/resources/ieee-news/members-weigh-in-on-ieee-president-bartlesons-message-in-response-to-ustravel-ban
2. This news comes out the same week as Ghost in the Shell opens: https://techcrunch.com/2017/03/27/elon-musks-neuralink-wants-to-boost-the-brain-to-keep-up-with-ai/ Coincidence?
3. There's no 'I' in team but there's one in 'stupid' and two in 'idiot': http://www.executivestyle.com.au/buzzwords-are-a-load-of-bull-1rq2c 
4. D.TRUMP, a measure of how badly people (students) misunderstand things: http://www.theregister.co.uk/2017/03/29/boffins_give_dtrump_artificial_intelligence/
5. Not so much an ANN generating recipes, as an ANN generating strings of characters that resemble recipes: http://lewisandquark.tumblr.com/post/140219420017/the-silicon-gourmet-training-a-neural-network-to
6. Paper "Failures of Deep Learning": https://arxiv.org/abs/1703.07950
7. A deep ANN-based lip-reading system: http://www.bbc.com/news/technology-39298199
8. Not so much reverse-engineering as duplicating from open resources: https://medium.com/startup-grind/i-reverse-engineered-a-500m-artificial-intelligence-company-in-one-week-heres-the-full-story-d067cef99e1c
9. It's not out-sourcing that destroyed the jobs, it's technology: https://www.nytimes.com/2017/03/28/upshot/evidence-that-robots-are-winning-the-race-for-american-jobs.html?_r=0
10. Who's liable when an AI gets it wrong? https://betanews.com/2017/03/21/artificial-intelligence-robotics-liability/
11. A graph theory-based traffic routing system for preventing traffic jams: https://motherboard.vice.com/en_us/article/new-ai-algorithm-beats-even-the-worlds-worst-traffic

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

2. Triplet Spike Time-Dependent Plasticity in a Floating-Gate Synapse
Author(s): Roshan Gopalakrishnan; Arindam Basu
Page(s): 778 - 790

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

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

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

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

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

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

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

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

11. An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks
Author(s): Subhrajit Roy; Arindam Basu
Page(s): 900 - 910

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

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

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

15. Adaptive Method for Nonsmooth Nonnegative Matrix Factorization
Author(s): Zuyuan Yang; Yong Xiang; Kan Xie; Yue Lai
Page(s): 948 - 960

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

17. Scalable Algorithms for Multi-Instance Learning
Author(s): Xiu-Shen Wei; Jianxin Wu; Zhi-Hua Zhou
Page(s): 975 - 987

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

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

20. Symmetric Complex-Valued Hopfield Neural Networks
Author(s): Masaki Kobayashi
Page(s): 1011 - 1015

Complex and Intelligent Systems, Volume 3, Issue 1, March 2017

1. Online game props recommendation with real assessments
Author(s): De-Chuan Zhan, Jun Tang, Zhi-Hua Zhou
Pages: 1-15

2. Consensus-based local information coordination for the networked control of the autonomous intersection management
Author(s): Chairit Wuthishuwong, Ansgar Traechtler
Pages: 17-32

3. Performance improvement of intrusion detection with fusion of multiple sensors
Author(s): Vrushank Shah, Akshai K. Aggarwal, Nirbhay Chaubey
Pages: 33-39

4. Genetic programming for production scheduling: a survey with a unified framework
Author(s): Su Nguyen, Yi Mei, Mengjie Zhang
Pages: 41-66

5. A benchmark test suite for evolutionary many-objective optimization
Author(s): Ran Cheng, Miqing Li, Ye Tian, Xingyi Zhang, Shengxiang Yang, Yaochu Jin, Xin Yao
Pages: 67-81

Review for 27 March 2017

Below are some of the interesting links I Tweeted about recently.

1. Why big, wealthy companies are the primary beneficiaries of machine learning: http://www.techrepublic.com/article/why-machine-learning-benefits-the-rich-and-everyone-else-is-toast/
2. How to interpret the R-squared metric in regression: http://www.datasciencecentral.com/profiles/blogs/regression-analysis-how-do-i-interpret-r-squared-and-assess-the 
3. The impact of machine learning on healthcare: https://techcrunch.com/2017/03/16/advances-in-ai-and-ml-are-reshaping-healthcare/ Genomics is still the major application area.
4. Stroke prediction with AI: https://techcrunch.com/2017/03/16/alivecor-built-an-ai-stroke-prevention-platform-with-30-million-from-omron-and-the-mayo-clinic/ I examined a PhD thesis on this topic 4 years ago.
5. A matrix of deep learning resources: http://www.datasciencecentral.com/profiles/blogs/deep-learning-resource-matrix 
6. New chips from ARM for AI: https://techcrunch.com/2017/03/20/arms-dynamiq-chips/ Not clear which algorithms they implement, though.
7. I disagree, NZ student loans are just a tax on the educated, better to scrap them completely & subsidise students: http://m.nzherald.co.nz/nz/news/article.cfm?c_id=1&objectid=11821848 
8. Using reinforcement learning in hedge funds: https://techcrunch.com/2017/03/21/aihedgefund/
9. Predictions for AI in 2017: http://www.theregister.co.uk/2017/03/21/whats_next_in_ai/ 
10. AI is definitely caught in a hype cycle: http://computerworld.com/article/3183140/android/samsung-bixby-artificial-intelligence.html
11. Graph databases, maths, and machine learning: https://www.theregister.co.uk/2017/03/17/the_big_ideas_behind_graph_databases/ 
12. The importance of data analysis in machine learning: http://www.datasciencecentral.com/profiles/blogs/how-to-use-data-analysis-for-machine-learning-example-part-1 
13. Education, health and social care are the areas least likely to be affected by AI and automation: https://www.theguardian.com/technology/2017/mar/24/millions-uk-workers-risk-replaced-robots-study-warns 
14. Is AI really going to displace human workers? http://m.nzherald.co.nz/technology/news/article.cfm?c_id=5&objectid=11825496 
15. Academic promotion is based on research outputs & funding, of course it takes priority over teaching: https://www.odt.co.nz/news/campus/university-of-otago/research-not-priority-over-education
16. Dance Dance Convolution, using ML to choreograph dance game steps: http://www.theregister.co.uk/2017/03/24/ai_enters_dance_dance_revolution/ 
17. Paper on Dance Dance Convolution: https://arxiv.org/abs/1703.06891 
18. Tech destroys jobs, but also creates jobs: https://techcrunch.com/2017/03/26/technology-is-killing-jobs-and-only-technology-can-save-them/ 
19. Comparison of frameworks for deep learning: http://www.kdnuggets.com/2017/03/getting-started-deep-learning.html

Soft Computing, Volume 21, Issue 7, April 2017

1. Similarity of binary relations based on complete Boolean lattices and related results
Author(s): Ningxin Xie, Gangqiang Zhang, Zhaowen Li
Pages: 1643-1652

2. The hull-kernel topology on prime ideals in posets
Author(s): Nilesh Mundlik, Vinayak Joshi, Radomír Halaš
Pages: 1653-1665

3. Ecosystem particle swarm optimization
Author(s): Jiao Liu, Di Ma, Teng-bo Ma, Wei Zhang
Pages: 1667-1691

4. Predicting agent-based financial time series model on lattice fractal with random Legendre neural network
Author(s): Anqi Pei, Jun Wang, Wen Fang
Pages: 1693-1708

5. An improved problem aware local search algorithm for the DNA fragment assembly problem
Author(s): Abdelkamel Ben Ali, Gabriel Luque, Enrique Alba, Kamal E. Melkemi
Pages: 1709-1720

6. Optimal estimation of power system harmonics using a hybrid Firefly algorithm-based least square method
Author(s): Santosh Kumar Singh, Nilotpal Sinha, Arup Kumar Goswami, Nidul Sinha
Pages: 1721-1734

7. Analysing and characterising optimization problems using length scale
Author(s): Rachael Morgan, Marcus Gallagher
Pages: 1735-1752

8. Computational evaluation of a MIP model for multi-port stowage planning problems
Author(s): Daniela Ambrosino, Massimo Paolucci, Anna Sciomachen
Pages: 1753-1763

9. Towards the right amount of randomness in quantum-inspired evolutionary algorithms
Author(s): C. Patvardhan, Sulabh Bansal, Anand Srivastav
Pages: 1765-1784

10. Query-based multi-documents summarization using linguistic knowledge and content word expansion
Author(s): Asad Abdi, Norisma Idris, Rasim M. Alguliyev, Ramiz M. Aliguliyev
Pages: 1785-1801

11. Hesitant fuzzy rough set over two universes and its application in decision making
Author(s): Haidong Zhang, Lan Shu, Shilong Liao
Pages: 1803-1816

12. Differential evolution dynamics analysis by complex networks
Author(s): Lenka Skanderova, Tomas Fabian
Pages: 1817-1831

13. Modeling with linguistic entities and linguistic descriptors: a perspective of granular computing
Author(s): Witold Pedrycz, Rami Al-Hmouz, Abdullah Saeed Balamash, Ali Morfeq
Pages: 1833-1845

14. Image reduction method based on the F-transform
Author(s): Irina Perfilieva, Petr Hurtik, Ferdinando Di Martino, Salvatore Sessa
Pages: 1847-1861

15. Imperial competitive algorithm with policy learning for the traveling salesman problem
Author(s): Meng-Hui Chen, Shih-Hsin Chen, Pei-Chann Chang
Pages: 1863-1875

16. Bimodal fruit fly optimization algorithm based on cloud model learning
Author(s): Lianghong Wu, Cili Zuo, Hongqiang Zhang, Zhaohua Liu
Pages: 1877-1893

17. Predictive performance measurement system for retail industry using neuro-fuzzy system based on swarm intelligence
Author(s): Pongsak Holimchayachotikul, Komgrit Leksakul
Pages: 1895-1912

IEEE Transactions on Fuzzy System, Volume 25, Number 1, February 2017

1. Recognition of Epileptic EEG Signals Using a Novel Multiview TSK Fuzzy System
Author(s): Y. Jiang and Z. Deng and F. L. Chung and G. Wang and P. Qian and K. S. Choi and S. Wang
Page(s): 3-20

2. Fuzzy Integral With Particle Swarm Optimization for a Motor-Imagery-Based Brain-Computer Interface
Author(s): S. L. Wu and Y. T. Liu and T. Y. Hsieh and Y. Y. Lin and C. Y. Chen and C. H. Chuang and C. T. Lin
Page(s): 21-28

3. Designing an Interval Type-2 Fuzzy Logic System for Handling Uncertainty Effects in Brain-Computer Interface Classification of Motor Imagery Induced EEG Patterns
Author(s): P. A. Herman, G. Prasad and T. M. McGinnity
Page(s): 29-42

4. Psychophysiologically Based Real-Time Adaptive General Type 2 Fuzzy Modeling and Self-Organizing Control of Operator's Performance Undertaking a Cognitive Task
Author(s): L. A. Torres Salomao, M. Mahfouf, E. El-Samahy and C. H. Ting
Page(s): 43-57

5. Brain–Machine Interface and Visual Compressive Sensing-Based Teleoperation Control of an Exoskeleton Robot
Author(s): S. Qiu, Z. Li, W. He, L. Zhang, C. Yang and C. Y. Su
Page(s): 58-69

6. Robust ${mathscr {H}}_{infty }$ Filtering for a Class of Two-Dimensional Uncertain Fuzzy Systems With Randomly Occurring Mixed Delays
Author(s): Y. Luo and Z. Wang and G. Wei and F. E. Alsaadi
Page(s): 70-83

7. Nonparametric Kernel Estimation Based on Fuzzy Random Variables
Author(s): G. Hesamian and M. G. Akbari
Pages:. 84-99

8. Characterization of Fuzzy Implication Functions With a Continuous Natural Negation Satisfying the Law of Importation With a Fixed t-Norm
Author(s): S. Massanet and J. Torrens
Page(s): 100-113

9. An Optimal Fuzzy System for Edge Detection in Color Images Using Bacterial Foraging Algorithm
Author(s): O. P. Verma and A. S. Parihar
Page(s): 114-127

10. Stability and Stabilization of Discrete-Time T–S Fuzzy Systems With Time-Varying Delay via Cauchy–Schwartz-Based Summation Inequality
Author(s): M. J. Park and O. M. Kwon
Page(s): 128-140, Feb. 2017.

11. Adaptive Inversion-Based Fuzzy Compensation Control of Uncertain Pure-Feedback Systems With Asymmetric Actuator Backlash
Author(s): G. Lai, Z. Liu, Y. Zhang, C. L. P. Chen and S. Xie
Page(s): 141-155

12. Parameterization and Adaptive Control of Multivariable Noncanonical T--S Fuzzy Systems
Author(s): Y. Zhang, G. Tao, M. Chen and L. Wen
Page(s): 156-171

13. Finite-Time Stabilization of Discrete-Time Switched Nonlinear Systems Without Stable Subsystems via Optimal Switching Signal Design
Author(s): Y. Mao, H. Zhang and Z. Zhang
Page(s): 172-180

14. Adaptive Fuzzy Leader-Following Consensus Control for Stochastic Multiagent Systems with Heterogeneous Nonlinear Dynamics
Author(s): C. E. Ren, L. Chen and C. L. P. Chen
Page(s): 181-190

15. Fuzzy Adaptive Inverse Compensation Method to Tracking Control of Uncertain Nonlinear Systems With Generalized Actuator Dead Zone
Author(s): G. Lai, Z. Liu, Y. Zhang, C. L. P. Chen, S. Xie and Y. Liu
Page(s): 191-204

16. Stabilization of Interval Type-2 Polynomial-Fuzzy-Model-Based Control Systems
Author(s): B. Xiao, H. K. Lam and H. Li
Page(s): 205-217

17. Fractional Differential Systems: A Fuzzy Solution Based on Operational Matrix of Shifted Chebyshev Polynomials and Its Applications
Author(s): A. Ahmadian, S. Salahshour and C. S. Chan
Page(s): 218-236

18. Assessing a Fuzzy Extension of Rand Index and Related Measures
Author(s): A. Suleman
Page(s): 237-244

Evolving Systems, Volume 8, Issue 1, March 2017. Timely advances in evolving neural-based systems

1. Timely advances in evolving neural-based systems special issue
Author(s): Lazaros Iliadis, Konstantinos Margaritis, Ilias Maglogiannis
Pages: 1-2

2. Locally application of naive Bayes for self-training
Author(s): Stamatis Karlos, Nikos Fazakis, Angeliki-Panagiota Panagopoulou
Pages: 3-18

3. Fuzzy cognitive maps as a decision support tool for container transport logistics
Author(s): Athanasios Tsadiras, George Zitopoulos
Pages: 19-33

4. Intuitionistic neuro-fuzzy network with evolutionary adaptation
Author(s): Petr Hájek, Vladimír Olej
Pages: 35-47

5. A methodology to carry out voting classification tasks using a particle swarm optimization-based neuro-fuzzy competitive learning network
Author(s): Androniki Tamvakis, George E. Tsekouras, Anastasios Rigos
Pages: 49-69

6. Adaptive confidence learning for the personalization of pain intensity estimation systems
Author(s): Markus Kächele, Mohammadreza Amirian, Patrick Thiam, Philipp Werner
Pages: 71-83

7. Evolving connectionist method for adaptive audiovisual speech recognition
Author(s): Mario Malcangi, Philip Grew
Pages: 85-94

Review for 20 March 2017

Below are some of the interesting links I Tweeted about recently.

1. We will get closer to AIs, but I think we will go thru many iterations of wearables before we get to implants: https://techcrunch.com/2017/02/13/elon-musk-reiterates-the-need-for-brain-computer-interfaces-in-the-age-of-ai/
2. Overview of 23 different types of regression: http://www.datasciencecentral.com/profiles/blogs/23-types-of-regression 
3. While AI is a convenient catch-all term, machine learning, AI, ANN, are really different things: http://www.datasciencecentral.com/profiles/blogs/difference-between-machine-learning-data-science-ai-deep-learning 
4. Possibly an application of deep learning ANN? Nest cameras can now recognise doors and when people enter view: http://www.theverge.com/2017/2/14/14609310/nest-cam-door-recognition-alerts-feature 
5. Not sure what, if any, AI is present here, but better customer service is probably useful: https://techcrunch.com/2017/02/13/salesforce-brings-ai-to-service-cloud/ 
6. I just examined a Ph.D. thesis doing earthquake prediction with machine learning-still a long way to go: https://www.scientificamerican.com/article/can-artificial-intelligence-predict-earthquakes/
7. Like I tell my IT students: If you lose data because you don't have a backup, it's your fault: https://www.insidehighered.com/blogs/gradhacker/necessity-dedicated-backup-system
8. I know the feeling, I returned to NZ from AU-there's no place like home: https://www.linkedin.com/pulse/why-i-moved-back-india-after-10-years-usa-nupur-dave?trk=eml-email_feed_ecosystem_digest_01-hero-0-null&midToken=AQHOB1JUwrXpFw&fromEmail=fromEmail&ut=3BwiP8uTD-wDE1
9. Some free introductory ebooks on machine learning and other data processing topics: http://www.littlebeelibrary.com
10. A simple Python introduction to k-means clustering: http://www.kdnuggets.com/2017/03/k-means-clustering-algorithms-intro-python.html 
11. Uses of AI in education: https://www.techemergence.com/examples-of-artificial-intelligence-in-education/  Educational data mining is another big area of research
12. So important to do this - ridding your data of bias: http://computerworld.com/article/3163145/data-analytics/how-to-root-out-bias-in-your-data.html
13. Feedspot has added my computational intelligence blog http://computational-intelligence.blogspot.com  to their list of top 50 blogs on AI: http://blog.feedspot.com/ai_blogs
14. General business applications of AI: http://www.datasciencecentral.com/profiles/blogs/how-to-put-ai-to-work 
15. Best R packages for importing and processing data: http://computerworld.com/article/2921176/business-intelligence/great-r-packages-for-data-import-wrangling-visualization.html 
16. The impact of deep learning on SEO: http://www.datasciencecentral.com/profiles/blogs/will-deep-learning-change-the-digital-marketing-game 
17. The problems with interpreting deep learning models: https://www.datanami.com/2017/03/15/scrutinizing-inscrutability-deep-learning/ 
18. Play a musical duet with a deep neural network: https://techcrunch.com/2017/02/16/googles-a-i-duet-experiment-lets-you-jam-with-the-machine/ 
19. Using machine learning to recognise items in movies, so people can buy them: https://techcrunch.com/2017/02/13/working-with-major-studios-thetake-launches-ai-image-recognition-engine-for-businesses/ 
20. Specialised deep learning chips for consumer hardware: http://spectrum.ieee.org/tech-talk/semiconductors/processors/to-get-ai-in-everyday-gadgets-engineers-go-to-specialized-hardware 
21. I suspect that the proportion of psycopaths in senior academic positions is also higher than the general population: https://www.theguardian.com/technology/2017/mar/15/silicon-valley-psychopath-ceo-sxsw-panel 

Soft Computing, Volume 21, Number 6 Special Issue on Quantum, Logic & Music

1. Preface
Author(s): Maria Luisa Dalla Chiara, Roberto Giuntini, Eleonora Negri, Giuseppe Sergioli & Sonja Smets
Pages: 1371-1372

2. Semilattices global valuations in the topos approach to quantum mechanics
Author(s): Hector Freytes, Christian de Ronde & Graciela Domenech
Pages: 1373-1379

3. Quantum approach to epistemic semantics
Author(s): Giuseppe Sergioli & Roberto Leporini
Pages: 1381-1390

4. A note on many valued quantum computational logics
Author(s): Giuseppe Sergioli & Antonio Ledda
Pages: 1391-1400

5. Modelling tonal attraction: tonal hierarchies, interval cycles, and quantum probabilities
Author(s): Reinhard Blutner
Pages: 1401-1419

6. Deriving the correctness of quantum protocols in the probabilistic logic for quantum programs
Author(s): Jort Martinus Bergfeld & Joshua Sack
Pages: 1421-1441

7. Factor varieties
Author(s): Antonino Salibra, Antonio Ledda & Francesco Paoli
Pages: 1443-1454

8. Effectiveness of the quantum-mechanical formalism in cognitive modeling
Author(s): Sandro Sozzo
Pages: 1455-1465

9. Quantum music
Author(s): Volkmar Putz & Karl Svozil
Pages: 1467-1471

10. A quantum-like semantic analysis of ambiguity in music
Author(s): Maria Luisa Dalla Chiara, Roberto Giuntini, Antonino Riccardo Luciani & Eleonora Negri
Pages: 1473-1481

11. Do spins have directions?
Author(s): Diederik Aerts & Massimiliano Sassoli de Bianchi
Pages: 1483-1504

12. The state context property formalism: from concept theory to the semantics of music
Author(s): Tomas Veloz & Pablo Razeto
Pages: 1505-1513

13. The rhythm of quantum algorithms
Author(s): Stefano Bonzio & Paola Verrucchi
Pages: 1515-1521

14. Modeling correlated information change: from conditional beliefs to quantum conditionals
Author(s): Alexandru Baltag & Sonja Smets
Pages: 1523-1535

15. Teaching–learning-based optimization algorithm for multi-skill resource constrained project scheduling problem
Author(s): Huan-yu Zheng, Ling Wang & Xiao-long Zheng
Pages: 1537-1548

16. A novel harmony search algorithm with gaussian mutation for multi-objective optimization
Author(s): Xiangshan Dai, Xiaofang Yuan & Lianghong Wu
Pages: 1549-1567

17. Low-rank representation with graph regularization for subspace clustering
Author(s): Wu He, Jim X. Chen & Weihua Zhang
Pages: 1569-1581

18. Modeling and predicting the user next input by Bayesian reasoning
Author(s): Luigi Troiano, Cosimo Birtolo & Roberto Armenise
Pages: 1583-1600

19. Topology-based analysis of self-organizing maps for time series prediction
Author(s): Juan García-Rois & Juan C. Burguillo
Pages: 1601-1618

20. Constrained fuzzy evidential multivariate model identified by EM algorithm: a soft sensor to monitoring imprecise and uncertain process parameters
Author(s): Yong-sheng Hao, Zhi-gang Su, Pei-hong Wang & Ming Zhao
Pages: 1619-1642

Neural Networks, Volume 88, Pages: 1-134, April 2017

1. Orthogonal self-guided similarity preserving projection for classification and clustering   
Author(s): Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Shaohua Teng, Lunke Fei
Pages: 1-8

2. Elimination of spiral waves in a locally connected chaotic neural network by a dynamic phase space constraint   
Author(s): Yang Li, Makito Oku, Guoguang He, Kazuyuki Aihara
Pages: 9-21

3. Self-Taught convolutional neural networks for short text clustering   
Author(s): Jiaming Xu, Bo Xu, Peng Wang, Suncong Zheng, Guanhua Tian, Jun Zhao, Bo Xu
Pages: 22-31

4. Biologically plausible learning in neural networks with modulatory feedback   
Author(s): W. Shane Grant, James Tanner, Laurent Itti
Pages: 32-48

5. Stability analysis of delayed neural networks via a new integral inequality   
Author(s): Bin Yang, Juan Wang, Jun Wang
Pages: 49-57

6. Spike timing-dependent plasticity induces non-trivial topology in the brain   
Author(s): R.R. Borges, F.S. Borges, E.L. Lameu, A.M. Batista, K.C. Iarosz, I.L. Caldas, C.G. Antonopoulos, M.S. Baptista
Pages: 58-64

7. Neural mass models describing possible origin of the excessive beta oscillations correlated with Parkinsonian state   
Author(s): Chen Liu, Yulin Zhu, Fei Liu, Jiang Wang, Huiyan Li, Bin Deng, Chris Fietkiewicz, Kenneth A. Loparo
Pages: 65-73

8. Multi-view clustering via multi-manifold regularized non-negative matrix factorization   
Author(s): Linlin Zong, Xianchao Zhang, Long Zhao, Hong Yu, Qianli Zhao
Pages: 74-89

9. Adaptive low-rank subspace learning with online optimization for robust visual tracking   
Author(s): Risheng Liu, Di Wang, Yuzhuo Han, Xin Fan, Zhongxuan Luo
Pages: 90-104

10. Object class segmentation of RGB-D video using recurrent convolutional neural networks   
Author(s): Mircea Serban Pavel, Hannes Schulz, Sven Behnke
Pages: 105-113

11. A perturbative approach for enhancing the performance of time series forecasting   
Author(s): Paulo S.G. de Mattos Neto, Tiago A.E. Ferreira, Aranildo R. Lima, Germano C. Vasconcelos, George D.C. Cavalcanti
Pages: 114-124

12. Global dissipativity of memristor-based neutral type inertial neural networks   
Author(s): Zhengwen Tu, Jinde Cao, Ahmed Alsaedi, Fuad Alsaadi
Pages: 125-133

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

1. Computational Intelligence in Music Composition: A Survey
Author(s): C.-H. Liu and C.-K. Ting
Pages: 2-15

2. Novel Solution Approach for Multi-Objective Attack-Defense Cyber Games With Unknown Utilities of the Opponent
Author(s): E. Eisenstadt and A. Moshaiov
Pages: 16-26

3. Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue–Red Simulation Environment
Author(s): S. L. Wang, K. Shafi, T. F. Ng, C. Lokan and H. A. Abbass
Pages: 27-40

4. Task Intelligence of Robots: Neural Model-Based Mechanism of Thought and Online Motion Planning
Author(s): I.-B. Jeong, W.-R. Ko, G.-M. Park, D.-H. Kim, Y.-H. Yoo and J.-H. Kim
Pages: 41-50

5. A Consensus-Based Distributed Computational Intelligence Technique for Real-Time Optimal Control in Smart Distribution Grids
Author(s): K. Utkarsh, A. Trivedi, D. Srinivasan and T. Reindl
Pages: 51-60

6. Model-Free Fault Detection and Isolation in Large-Scale Cyber-Physical Systems
Author(s): C. Alippi, S. Ntalampiras and M. Roveri
Pages: 61-71

IEEE Transactions on Cognitive and Developmental Systems, Volume 9, Number 1, March 2017

1. A Bio-Inspired Cognitive Agent for Autonomous Urban Vehicles Routing Optimization
Author(s): G. Vitello, A. Alongi, V. Conti and S. Vitabile
Pages: 5-15

2. A Multilevel Body Motion-Based Human Activity Analysis Methodology
Author(s): K. Khoshhal Roudposhti, J. Dias, P. Peixoto, V. Metsis and U. Nunes
Pages: 16-29

3. Learning Robot Control Using a Hierarchical SOM-Based Encoding
Author(s): G. Pierris and T. S. Dahl
Pages: 30-43

4. Learning From Explanations Using Sentiment and Advice in RL
Author(s): S. Krening, B. Harrison, K. M. Feigh, C. L. Isbell, M. Riedl and A. Thomaz
Pages: 44-55

5. Supervisory Control of Multiple Robots Through Group Communication
Author(s): A. Rossi, M. Staffa and S. Rossi
Pages: 56-67

6. Flexible Task Execution and Attentional Regulations in Human-Robot Interaction
Author(s): R. Caccavale and A. Finzi
Pages: 68-79

7. Aesthetics Evaluation for Robotic Chinese Calligraphy
Author(s): Z. Ma and J. Su
Pages: 80-90