Saturday, March 25, 2017

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

Monday, March 20, 2017

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

Monday, March 13, 2017

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


Soft Computing, Volume 21, Number 5, March 2017

1. Iterative numerical method for fuzzy Volterra linear integral equations in two dimensions
Author(s): Alexandru Mihai Bica, Shokrollah Ziari
Pages: 1097-1108

2. Many-objective optimization based on information separation and neighbor punishment selection
Author(s): Ruimin Shen, Jinhua Zheng, Miqing Li, Juan Zou
Pages: 1109-1128

3. Decision making with the generalized intuitionistic fuzzy power interaction averaging operators
Author(s): Yingdong He, Zhen He, He Huang
Pages 1129-1144

4. Image quality assessment based on multiscale fuzzy gradient similarity deviation
Author(s): Shangwei Guo, Tao Xiang, Xiaoguo Li
Pages: 1145-1155

5. Topology optimization of compliant structures and mechanisms using constructive solid geometry for 2-d and 3-d applications
Author(s): Anmol Pandey, Rituparna Datta, Bishakh Bhattacharya
Pages: 1157-1179

6. Relevant applications of Monte Carlo simulation in Solvency II
Author(s): Giuseppe Casarano, Gilberto Castellani, Luca Passalacqua, Francesca Perla
Pages: 1181-1192

7. A hybrid artificial bee colony algorithm for the job-shop scheduling problem with no-wait constraint
Author(s): Shyam Sundar, P. N. Suganthan, Chua Tay Jin, Cai Tian Xiang
Pages: 1193-1202

8. Evaluation of research proposals for grant funding using interval-valued intuitionistic fuzzy sets
Author(s): Basar Oztaysi, Sezi Cevik Onar, Kerim Goztepe, Cengiz Kahraman
Pages: 1203-1218

9. Rate control optimization for live streaming using fixed-time playback buffer
Author(s): Dongyan Zhang, Hui He, Weihua Li, Pingxin Du
Pages: 1219-1228

10. Fuzzy trapezoidal cubature rule and application to two-dimensional fuzzy Fredholm integral equations
Author(s): Alexandru Mihai Bica, Constantin Popescu
Pages: 1229-1243

11. Searching the Web for illegal content: the anatomy of a semantic search engine
Author(s): Luigi Laura, Gianluigi Me
Pages: 1245-1252

12. Noisy extremal optimization
Author(s): Rodica Ioana Lung, Mihai Suciu, Noémi Gaskó
Pages: 1253-1270

13. RED: a new method for performance ranking of large decision making units
Author(s): Mohammadreza Farahmand, Mohammad Ishak Desa
Pages: 1271-1290

14. Fuzzy clustering algorithms for identification of Exocarpium Citrus Grandis through chromatography
Author(s): Hang Wei, Li Lin, Honglai Zhang, Yangyang Xu, Shaodong Deng, Jiajing Yu
Pages: 1291-1300

15. Design and theoretical analysis of virtual machine placement algorithm based on peak workload characteristics
Author(s): Weiwei Lin, SiYao Xu, Jin Li, Lingling Xu, Zhiping Peng
Pages: 1301-1314

16. P2P and P2P botnet traffic classification in two stages
Author(s): Wujian Ye, Kyungsan Cho
Pages: 1315-1326

17. Attraction basin sphere estimation approach for niching CMA-ES
Author(s): Zhuoran Xu, Hiroyuki Iizuka, Masahito Yamamoto
Pages: 1327-1345

18. An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery
Author(s): Filippo Maria Bianchi, Enrico Maiorino, Lorenzo Livi, Antonello Rizzi
Pages: 1347-1369

Neural Networks, Volume 87, Pages 1-160, March 2017

1. Reaction times in visual search can be explained by a simple model of neural synchronization   
Author(s): Yakov Kazanovich, Roman Borisyuk
Pages: 1-7

2. An empirical model of activity in macaque inferior temporal cortex   
Author(s): Salman Khan, Bryan Tripp
Pages: 8-21

3. On global exponential stability of positive neural networks with time-varying delay  
Author(s): Le Van Hien
Pages: 22-26

4. Cognitive memory and mapping in a brain-like system for robotic navigation   
Author(s): Huajin Tang, Weiwei Huang, Aditya Narayanamoorthy, Rui Yan
Pages: 27-37

5. Towards solving the hard problem of consciousness: The varieties of brain resonances and the conscious experiences that they support   
Author(s): Stephen Grossberg
Pages: 38-95

6. A computational model of conditioning inspired by Drosophila olfactory system   
Author(s): Faramarz Faghihi, Ahmed A. Moustafa, Ralf Heinrich, Florentin Wörgötter
Pages: 96-108

7. Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection   
Author(s): Jihun Kim, Jonghong Kim, Gil-Jin Jang, Minho Lee
Pages: 109-121

8. Controller design for global fixed-time synchronization of delayed neural networks with discontinuous activations   
Author(s): Leimin Wang, Zhigang Zeng, Junhao Hu, Xiaoping Wang
Pages: 122-131

9. Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker   
Author(s): Kourosh Meshgi, Shin-ichi Maeda, Shigeyuki Oba, Shin Ishii
Pages: 132-148

10. Global exponential stability and dissipativity of generalized neural networks with time-varying delay signals   
Author(s): R. Manivannan, R. Samidurai, Jinde Cao, Ahmed Alsaedi, Fuad E. Alsaadi
Pages: 149-159

IEEE Transactions on Neural Networks and Learning Systems, Volume 28, Issue 3, March 2017

1. Guest Editorial: Special Issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control
Author(s): Yong-Duan Song; Frank L. Lewis; Marios Polycarpou; Danil Prokhorov; Dongbin Zhao
Page(s): 494 - 499

2. Value and Policy Iterations in Optimal Control and Adaptive Dynamic Programming
Author(s): Dimitri P. Bertsekas
Page(s): 500 - 509

3. Machine Learning Capabilities of a Simulated Cerebellum
Author(s): Matthew Hausknecht; Wen-Ke Li; Michael Mauk; Peter Stone
Page(s): 510 - 522

4. Railway Track Circuit Fault Diagnosis Using Recurrent Neural Networks
Author(s): Tim de Bruin; Kim Verbert; Robert Babuška
Page(s): 523 - 533

5. Neural Network-Based Solutions for Stochastic Optimal Control Using Path Integrals
Author(s): Karthikeyan Rajagopal; Sivasubramanya Nadar Balakrishnan; Jerome R. Busemeyer
Page(s): 534 - 545

6. Sequential Nonlinear Learning for Distributed Multiagent Systems via Extreme Learning Machines
Author(s): Nuri Denizcan Vanli; Muhammed O. Sayin; Ibrahim Delibalta; Suleyman Serdar Kozat
Page(s): 546 - 558

7. Adaptive Fault-Tolerant Synchronization Control of a Class of Complex Dynamical Networks With General Input Distribution Matrices and Actuator Faults
Author(s): Xiao-Jian Li; Guang-Hong Yang
Page(s): 559 - 569

8. Cluster Synchronization on Multiple Nonlinearly Coupled Dynamical Subnetworks of Complex Networks With Nonidentical Nodes
Author(s): Lili Zhou; Chunhua Wang; Sichun Du; Ling Zhou
Page(s): 570 - 583

9. Air-Breathing Hypersonic Vehicle Tracking Control Based on Adaptive Dynamic Programming
Author(s): Chaoxu Mu; Zhen Ni; Changyin Sun; Haibo He
Page(s): 584 - 598

10
. LQR-Based Optimal Distributed Cooperative Design for Linear Discrete-Time Multiagent Systems
Author(s): Huaguang Zhang; Tao Feng; Hongjing Liang; Yanhong Luo
Page(s): 599 - 611

11. Synchronization of Arbitrarily Switched Boolean Networks
Author(s): Hongwei Chen; Jinling Liang; Tingwen Huang; Jinde Cao
Page(s): 612 - 619

12. A Two-Time-Scale Neurodynamic Approach to Constrained Minimax Optimization
Author(s): Xinyi Le; Jun Wang
Page(s): 620 - 629

13. Finite-Time State Estimation for Coupled Markovian Neural Networks With Sensor Nonlinearities
Author(s): Zhuo Wang; Yong Xu; Renquan Lu; Hui Peng
Page(s): 630 - 638

14. Approximate Optimal Control of Affine Nonlinear Continuous-Time Systems Using Event-Sampled Neurodynamic Programming
Author(s): Avimanyu Sahoo; Hao Xu; Sarangapani Jagannathan
Page(s): 639 - 652

15. Deep Direct Reinforcement Learning for Financial Signal Representation and Trading
Author(s): Yue Deng; Feng Bao; Youyong Kong; Zhiquan Ren; Qionghai Dai
Page(s): 653 - 664

16. A Telescopic Binary Learning Machine for Training Neural Networks
Author(s): Mauro Brunato; Roberto Battiti
Page(s): 665 - 677

17. Fraction Dynamic-Surface-Based Neuroadaptive Finite-Time Containment Control of Multiagent Systems in Nonaffine Pure-Feedback Form
Author(s): Yujuan Wang; Yongduan Song
Page(s): 678 - 689

18. Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene
Author(s): Jun Li; Xue Mei; Danil Prokhorov; Dacheng Tao
Page(s): 690 - 703

19. Off-Policy Integral Reinforcement Learning Method to Solve Nonlinear Continuous-Time Multiplayer Nonzero-Sum Games
Author(s): Ruizhuo Song; Frank L. Lewis; Qinglai Wei
Page(s): 704 - 713

20. Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data
Author(s): Yuanheng Zhu; Dongbin Zhao; Xiangjun Li
Page(s): 714 - 725

21. Adaptive Output Neural Network Control for a Class of Stochastic Nonlinear Systems With Dead-Zone Nonlinearities
Author(s): Li-Bing Wu; Guang-Hong Yang
Page(s): 726 - 739

22. Sampled-Data Synchronization Analysis of Markovian Neural Networks With Generally Incomplete Transition Rates
Author(s): Huaguang Zhang; Junyi Wang; Zhanshan Wang; Hongjing Liang
Page(s): 740 - 752

23. Model-Based Reinforcement Learning for Infinite-Horizon Approximate Optimal Tracking
Author(s): Rushikesh Kamalapurkar; Lindsey Andrews; Patrick Walters; Warren E. Dixon
Page(s): 753 - 758

24. Dual RBFNNs-Based Model-Free Adaptive Control With Aspen HYSYS Simulation
Author(s): Yuanming Zhu; Zhongsheng Hou; Feng Qian; Wenli Du
Page(s): 759 - 765

25. Exponential Stability of Complex-Valued Memristive Recurrent Neural Networks
Author(s): Huamin Wang; Shukai Duan; Tingwen Huang; Lidan Wang; Chuandong Li
Page(s): 766 - 771


Tuesday, February 14, 2017

Soft Computing, Volume 21, Number 4, February 2017

1) Efficient influence maximization under TSCM: a suitable diffusion model in online social networks
Author(s): Yadong Qin, Jun Ma & Shuai Gao
Pages: 827-838

2) Rough approximations based on soft binary relations and knowledge bases
Author(s): Zhaowen Li, Ningxin Xie & Ninghua Gao
Pages: 839-852

3) Cut approach to invariance groups of lattice-valued functions
Author(s): Eszter K. Horváth, Branimir Šešelja & Andreja Tepavčević
Pages: 853-859

4) An alternative hypervolume-based selection mechanism for multi-objective evolutionary algorithms
Author(s): Adriana Menchaca-Mendez & Carlos A. Coello Coello
Pages: 861-884

5) A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy
Author(s): Radhia Azzouz, Slim Bechikh & Lamjed Ben Said
Pages: 885-906

6) Self-adaptive trust management based on game theory in fuzzy large-scale networks
Author(s): He Fang, Li Xu & Xinyi Huang
Pages: 907-921

7) Research on gateway deployment of WMN based on maximum coupling subgraph and PSO algorithm
Author(s): Yang Li, Shuqiang Huang, Rensheng Fan, Zhen Zhang & Yuyu Zhou
Pages: 923-933

8) An optimized video synopsis algorithm and its distributed processing model
Author(s): Longxin Lin, Weiwei Lin, Weijun Xiao & Sibin Huang
Pages: 935-947

9) Solving the multi-objective path planning problem in mobile robotics with a firefly-based approach
Author(s): Alejandro Hidalgo-Paniagua, Miguel A. Vega-Rodríguez, Joaquín Ferruz & Nieves Pavón
Pages: 949-964

10) A type-2 fuzzy logic recommendation system for adaptive teaching
Author(s): Khalid Almohammadi, Hani Hagras, Bo Yao, Abdulkareem Alzahrani, Daniyal Alghazzawi & Ghadah Aldabbagh
Pages: 965-979

11) Novel discrete differential evolution methods for virtual tree pruning optimization
Author(s): Damjan Strnad & Štefan Kohek
Pages: 981-993

12) Evaluation of the hotels e-services quality under the user’s experience
Author(s): Ramón Alberto Carrasco, Juan Sánchez-Fernández, Francisco Muñoz-Leiva, María Francisca Blasco & Enrique Herrera-Viedma
Pages: 995-1011

13) Fuzzy record values
Author(s): M. G. H. Akbari & M. Chahkandi
Pages: 1013-1020

14) Uni-soft structure applied to ordered semigroups
Author(s): Asghar Khan, Raees Khan & Young Bae Jun
Pages: 1021-1030

15) Performance of a novel evolutionary genetic-based multi-user detector for multi-carrier CDMA communication systems
Author(s): Yung-Fa Huang, Tan-Hsu Tan, Chia-Hsin Cheng, Wei-Chen Lai & Hsing-Chung Chen
Pages: 1031-1039

16) An uncertain furniture production planning problem with cumulative service levels
Author(s): Guoqing Yang, Wansheng Tang & Ruiqing Zhao
Pages: 1041-1055

17) Power series methods of summability for series of fuzzy numbers and related Tauberian Theorems
Author(s): Sefa Anıl Sezer & İbrahim Çanak
Pages: 1057-1064

18) Ensemble bayesian networks evolved with speciation for high-performance prediction in data mining
Author(s): Kyung-Joong Kim & Sung-Bae Cho
1065-1080

19) Uncertainty measures of rough sets based on discernibility capability in information systems
Author(s): Shuhua Teng, Fan Liao, Yanxin Ma, Mi He & Yongjian Nian
Pages: 1081-1096


Review for 13 February 2017

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

  1. "Reply all" must be the worst "feature" in the history of software: https://www.theguardian.com/culture/2017/feb/03/when-is-it-appropriate-to-reply-all-mostly-never
  2. Robots might be able to do most of what humans do, but they still can't love our kids: https://www.theguardian.com/commentisfree/belief/2017/feb/02/robots-can-take-our-jobs-but-they-will-never-render-obsolete-our-love 
  3. An ANN-based tool that colours line art: https://techcrunch.com/2017/02/02/this-neural-network-based-software-will-automatically-color-in-your-line-art/ 
  4. Possible applications of AI in education: http://www.datasciencecentral.com/profiles/blogs/artificial-intelligence-and-education 
  5. Current leading R-packages for machine learning: http://www.kdnuggets.com/2017/02/top-r-packages-machine-learning.html 
  6. Using AI to find security vulnerabilities in software: http://www.theregister.co.uk/2017/02/03/darpa_ai_security_bots/ 
  7. Searching for photos by their contents: https://techcrunch.com/2017/02/02/facebooks-ai-unlocks-the-ability-to-search-photos-by-whats-in-them/ 
  8. Google releases its visual machine learning database: https://www.engadget.com/2016/10/01/google-releases-massive-visual-databases-for-machine-learning/ 
  9. AI and robots could replace 250k British public-sector jobs: https://www.theguardian.com/technology/2017/feb/06/robots-could-replace-250000-uk-public-sector-workers 
  10. Three reasons deep learning works so well: http://www.kdnuggets.com/2017/02/why-deep-learning-performs-so-well.html 
  11. Who monitors the ethics of an AI? https://www.theguardian.com/technology/2017/feb/05/artificial-intelligence-ethics-poker-libratus-texas-holdem-ai-deepstack 
  12. Can AI learn to detect fake news (not the Trumpian kind of fake news, the actually not true kind)? http://www.theregister.co.uk/2017/02/03/ai_challenge_to_help_fight_fake_news/ 
  13. This isn't "zoom and enhance"-the ANN is inventing detail that isn't there, it's making stuff up: https://arstechnica.com/information-technology/2017/02/google-brain-super-resolution-zoom-enhance/ 
  14. An app that uses ANN to tweak selfies: https://techcrunch.com/2017/02/08/faceapp-uses-neural-networks-for-photorealistic-selfie-tweaks/ 
  15. 5 free introductory courses on AI: http://www.kdnuggets.com/2017/02/5-free-courses-getting-started-artificial-intelligence.html 
  16. List of 52 machine learning API: http://www.kdnuggets.com/2017/02/machine-learning-data-science-apis-updated.html 
  17. AI does need some ethics, but I am not sure that government regulation is the way to do it: http://www.theregister.co.uk/2017/02/09/ai_and_iot_regulation_swatted_out_house_lords/ 
  18. A basic introduction to k-means clustering: http://www.kdnuggets.com/2017/02/automatically-segmenting-data-clustering.html 
  19. Do AIs cooperate or compete when playing games? http://www.theverge.com/2017/2/9/14558418/ai-deepmind-social-dilemma-study 
  20. Stock trading entirely by AI: http://m.nzherald.co.nz/business/news/article.cfm?c_id=3&objectid=11799294 
  21. How old does Amazon's AI think you are? http://www.theverge.com/2017/2/10/14582192/amazon-ai-rekognition-age-guess-software

Wednesday, February 8, 2017

Soft Computing, Volume 21, Number 3, February 2017

1) Special issue on Mexican International Conference on Artificial Intelligence, MICAI 2014 and 2015
Author(s): Hiram Ponce, Miguel González-Mendoza, Ma. Lourdes Martínez-Villaseñor
Pages: 555-556

2) Bagging-TPMiner: a classifier ensemble for masquerader detection based on typical objects
Author(s): Miguel Angel Medina-Pérez, Raúl Monroy, J. Benito Camiña & Milton García-Borroto
Pages: 557-569

3) ANFIS and MPC controllers for a reconfigurable lower limb exoskeleton
Author(s): Carlos A. Rodriguez, Pedro Ponce, Arturo Molina
Pages: 571-584

4) Cross-domain deception detection using support vector networks
Author(s): Ángel Hernández-Castañeda, Hiram Calvo, Alexander Gelbukh & Jorge J. García Flores
Pages: 585-595

5) Closed determination of the number of neurons in the hidden layer of a multi-layered perceptron network
Author(s): Angel Kuri-Morales
Pages: 597-609

6) Segmentation of carbon nanotube images through an artificial neural network
Author(s): María Celeste Ramírez Trujillo, Teresa E. Alarcón, Oscar S. Dalmau & Adalberto Zamudio Ojeda
Pages: 611-625

7) Application of the distributed document representation in the authorship attribution task for small corpora
Author(s): Juan-Pablo Posadas-Durán, Helena Gómez-Adorno, Grigori Sidorov, Ildar Batyrshin, David Pinto & Liliana Chanona-Hernández
Pages: 627-639

8) A 3-SPS-1S parallel robot-based laser sensing for applications in precision agriculture
Author(s): Ricardo Zavala-Yoe, Ricardo A. Ramírez-Mendoza, Silverio García-Lara
Pages: 641-650

9) A methodology based on Deep Learning for advert value calculation in CPM, CPC and CPA networks
Author(s): Luis Miralles-Pechuán, Dafne Rosso, Fernando Jiménez, Jose M. García
Pages: 651-665

10) Interval type-2 fuzzy logic for dynamic parameter adaptation in the bat algorithm
Author(s): Jonathan Perez, Fevrier Valdez, Oscar Castillo, Patricia Melin, Claudia Gonzalez & Gabriela Martinez
Pages: 667-685

11) A new class of BL-algebras
Author(s): Somayeh Motamed, Lida Torkzadeh
Pages: 687-698

12) Third-order reciprocally convex approach to stability of fuzzy cellular neural networks under impulsive perturbations
Author(s): Cheng-De Zheng, Yongjin Xian, Zhanshan Wang
Pages: 699-720

13) An experimental analysis of a new two-stage crossover operator for multiobjective optimization
Author(s): K. Liagkouras, K. Metaxiotis
Pages: 721-751

14) An intelligent character recognition method to filter spam images on cloud
Author(s): Jun Chen, Hong Zhao, Jufeng Yang, Jian Zhang, Tao Li, Kai Wang
Pages: 753-763

15) Social media as sensor in real world: movement trajectory detection with microblog
Author(s): Xueqin Sui, Zhumin Chen, Lei Guo, Kai Wu, Jun Ma, Guanghui Wang
Pages: 765-779

16) A multiagent evolutionary algorithm with direct and indirect combined representation for constraint satisfaction problems
Author(s): Xingxing Hao, Jing Liu
Pages: 781-793

17) Distributed steganalysis of compressed speech
Author(s): Hui Tian, Yanpeng Wu, Yiqiao Cai, Yongfeng Huang, Jin Liu, Tian Wang, Yonghong Chen & Jing Lu
Pages: 795-804

18) A two-agent single-machine scheduling problem to minimize the total cost with release dates
Author(s): Du-Juan Wang, Yunqiang Yin, Wen-Hsiang Wu, Wen-Hung Wu, Chin-Chia Wu & Peng-Hsiang Hsu
Pages: 805-816

19) Single-valued neutrosophic similarity measures based on cotangent function and their application in the fault diagnosis of steam turbine
Author(s): Jun Ye
Pages: 817-825

Friday, February 3, 2017

Review for 3 February 2017

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

  1. Finding exploits in AIs: http://www.theregister.co.uk/2017/01/24/summoning_demons_to_find_bugs/
  2. Ways of integrating machine learning into chatbots: http://www.kdnuggets.com/2017/01/chatbots-steroids-10-key-machine-learning-capabilities.html
  3. Paper on finding exploits in AIs: https://www.semanticscholar.org/paper/Summoning-Demons-The-Pursuit-of-Exploitable-Bugs-Stevens-Suciu/419680923e9e80001ae543d460119f3f5f7ec8b7 
  4. Looks like Beall's lists were forced offline by legal threats: https://www.insidehighered.com/news/2017/01/18/librarians-list-predatory-journals-reportedly-removed-due-threats-and-politics 
  5. Counting crowds with deep learning: http://spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/ai-could-transform-the-science-of-counting-crowds 
  6. 5 big data trends shaping AI this year: http://www.techrepublic.com/article/5-big-data-trends-that-will-shape-ai-in-2017/ 
  7. Is Google going to bring machine learning to the Raspberry Pi? http://www.zdnet.com/article/google-is-bringing-ai-to-your-raspberry-pi/ 
  8. A deep learning convolutional ANN can identify skin cancer as well as a dermatologist: http://spectrum.ieee.org/the-human-os/biomedical/diagnostics/computer-diagnoses-skin-cancers 
  9. Sounds like Bayesian search theory-using swarm AI for market research: http://www.techrepublic.com/article/how-to-use-swarm-a-i-instead-of-polls-for-market-research/ 
  10. The poker-playing AI is getting better: http://www.theverge.com/2017/1/25/14358246/ai-poker-tournament-cmu-libratus-vs-human-losing 
  11. Brief overview of AI in chatbots: http://www.kdnuggets.com/2017/01/artificial-intelligence-speech-recognition-chatbots-primer.html 
  12. Calls for an independent watchdog group to prevent discriminatory uses of AI: https://www.theguardian.com/technology/2017/jan/27/ai-artificial-intelligence-watchdog-needed-to-prevent-discriminatory-automated-decisions 
  13. I've been saying this for years-you can't put bad data into a good algorithm and expect a good model: http://www.kdnuggets.com/2017/01/bad-data-good-models-bad-results.html 
  14. Using ANN to manipulate images of peoples' faces: http://www.theverge.com/tldr/2017/1/27/14412814/faceapp-neural-networks-ai-smile-image-manipulation 
  15. A cheat-sheet for manipulating data in Python using Pandas: http://www.kdnuggets.com/2017/01/pandas-cheat-sheet.html 
  16. Where is DeepMind's AI ethics board? https://www.theguardian.com/technology/2017/jan/26/google-deepmind-ai-ethics-board 
  17. How scientists use social media: https://www.eurekalert.org/pub_releases/2016-10/uoo-nsr101216.php
  18. How will the courts deal with AI? https://techcrunch.com/2017/01/28/artificial-intelligence-and-the-law/ 
  19. 6 areas of AI & ML to watch: http://www.kdnuggets.com/2017/01/6-areas-ai-machine-learning.html 
  20. Sounds like we need more standards like FuzzyML: https://techcrunch.com/2017/01/28/ais-open-source-model-is-closed-inadequate-and-outdated/ 
  21. Using machine learning to decipher the ancient Indus script: http://www.theverge.com/2017/1/25/14371450/indus-valley-civilization-ancient-seals-symbols-language-algorithms-ai 
  22. Kinda embarressed that my country gave this guy citizenship: https://techcrunch.com/2017/01/26/peter-thiel-new-zealand-citizen/ 
  23. IBM's PowerAI ML framework now has support for TensorFlow: https://techcrunch.com/2017/01/26/ibm-adds-support-for-googles-tensorflow-to-its-powerai-deep-learning-framework/ 
  24. Putting an intelligent machine in its place: https://techcrunch.com/2017/01/14/putting-the-intelligent-machine-in-its-place/ 
  25. 5 big data trends shaping AI in 2017: http://www.techrepublic.com/article/5-big-data-trends-that-will-shape-ai-in-2017/ 
  26. An AI is now beating Poker champions: https://www.theguardian.com/technology/2017/jan/30/libratus-poker-artificial-intelligence-professional-human-players-competition 
  27. What we should do to avoid an AI-catastrophe, according to Elon Musk: http://www.cnbc.com/2017/01/31/elon-musk-thinks-we-will-have-to-use-ai-this-way-to-avoid-a-catastrophic-future.html 
  28. Why deep learning? https://www.datanami.com/2017/01/30/deep-learning-now/ 
  29. List of140 formulae related to machine learning: https://drive.google.com/file/d/0B0RLknmL54khQlhGUzFUWEtncTA/view 
  30. An AI that diagnoses cataracts as well as opthamologists do: http://spectrum.ieee.org/the-human-os/biomedical/diagnostics/ophthalmologists-vs-ai-its-a-tie 
  31. Facebook's approach to evaluating general AI: https://techcrunch.com/2017/02/01/how-facebook-plans-to-evaluate-its-quest-for-generalized-artificial-intelligence/ 
  32. Not so much a boycott for me, more too scared to set foot in the USA as a foreigner with that nutter in charge: https://www.insidehighered.com/news/2017/01/31/protest-trump-entry-ban-some-scholars-are-boycotting-us-based-conferences

Thursday, February 2, 2017

IEEE Transactions on Neural Networks and Learning Systems; Volume 28, Issue 2, February 2017

1. Hierarchical Change-Detection Tests
Author(s): Cesare Alippi; Giacomo Boracchi; Manuel Roveri
Page(s): 246 - 258

2. Stability Analysis of Neural Networks With Two Delay Components Based on Dynamic Delay Interval Method
Author(s): Huaguang Zhang; Qihe Shan; Zhanshan Wang
Page(s): 259 - 267

3. Asynchronous Dissipative State Estimation for Stochastic Complex Networks With Quantized Jumping Coupling and Uncertain Measurements
Author(s): Yong Xu; Renquan Lu; Hui Peng; Kan Xie; Anke Xue
Page(s): 268 - 277

4. A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification
Author(s): Zhengming Li; Zhihui Lai; Yong Xu; Jian Yang; David Zhang
Page(s): 278 - 293

5. Asymmetric Actuator Backlash Compensation in Quantized Adaptive Control of Uncertain Networked Nonlinear Systems
Author(s): Guanyu Lai; Zhi Liu; Yun Zhang; Chun Lung Philip Chen; Shengli Xie
Page(s): 294 - 307

6. A Graph-Embedding Approach to Hierarchical Visual Word Mergence
Author(s): Lei Wang; Lingqiao Liu; Luping Zhou
Page(s): 308 - 320

7. Identification and Control for Singularly Perturbed Systems Using Multitime-Scale Neural Networks
Author(s): Dongdong Zheng; Wen-Fang Xie; Xuemei Ren; Jing Na
Page(s): 321 - 333

8. Out-of-Sample Extensions for Non-Parametric Kernel Methods
Author(s): Binbin Pan; Wen-Sheng Chen; Bo Chen; Chen Xu; Jianhuang Lai
Page(s): 334 - 345

9. Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links
Author(s): Hao Shen; Yanzheng Zhu; Lixian Zhang; Ju H. Park
Page(s): 346 - 358

10. A Novel Twin Support-Vector Machine With Pinball Loss
Author(s): Yitian Xu; Zhiji Yang; Xianli Pan
Page(s): 359 - 370

11. Closed-Loop Modulation of the Pathological Disorders of the Basal Ganglia Network
Author(s): Chen Liu; Jiang Wang; Huiyan Li; Meili Lu; Bin Deng; Haitao Yu; Xile Wei; Chris Fietkiewicz; Kenneth A. Loparo
Page(s): 371 - 382

12. QRNN: q-Generalized Random Neural Network
Author(s): Dusan Stosic; Darko Stosic; Cleber Zanchettin; Teresa Ludermir; Borko Stosic
Page(s): 383 - 390

13. Growing Echo-State Network With Multiple Subreservoirs
Author(s): Junfei Qiao; Fanjun Li; Honggui Han; Wenjing Li
Page(s): 391 - 404

14. A Scoring Scheme for Online Feature Selection: Simulating Model Performance Without Retraining
Author(s): Debarka Sengupta; Sanghamitra Bandyopadhyay; Debajyoti Sinha
Page(s): 405 - 414

15. Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic Perspective
Author(s): Shuai Li; Jinbo He; Yangming Li; Muhammad Usman Rafique
Page(s): 415 - 426

16. Graph Theory-Based Pinning Synchronization of Stochastic Complex Dynamical Networks
Author(s): Xiao-Jian Li; Guang-Hong Yang
Page(s): 427 - 437

17. Learning a Coupled Linearized Method in Online Setting
Author(s): Wei Xue; Wensheng Zhang
Page(s): 438 - 450

18. Cross-Modality Feature Learning Through Generic Hierarchical Hyperlingual-Words
Author(s): Ming Shao; Yun Fu
Page(s): 451 - 463

19. Identification of Boolean Networks Using Premined Network Topology Information
Author(s): Xiaohua Zhang; Huaxiang Han; Weidong Zhang
Page(s): 464 - 469

20. A Proposal for Local k Values for k-Nearest Neighbor Rule
Author(s): Nicolás García-Pedrajas; Juan A. Romero del Castillo; Gonzalo Cerruela-García
Page(s): 470 - 475

21. Impulsive Effects and Stability Analysis on Memristive Neural Networks With Variable Delays
Author(s): Shukai Duan; Huamin Wang; Lidan Wang; Tingwen Huang; Chuandong Li
Page(s): 476 - 481

22. Neural Network-Based DOBC for a Class of Nonlinear Systems With Unmatched Disturbances
Author(s): Haibin Sun; Lei Guo
Page(s): 482 - 489

Tuesday, January 31, 2017

Soft Computing, Volume 21, Issue 2, January 2017

1) Editorial: Special issue on soft computing for knowledge management and web applications
Author(s): Chang-Shing Lee & Hung-Yu Kao
Pages: 281–282

2) Particle swarm optimization algorithm with environmental factors for clustering analysis
Author(s): Wei Song, Wei Ma & Yingying Qiao
Pages: 283-293

3) Heuristic procedures for improving the predictability of a genetic programming financial forecasting algorithm
Author(s): Michael Kampouridis & Fernando E. B. Otero
Pages: 295-310

4) Exploring lexical, syntactic, and semantic features for Chinese textual entailment in NTCIR RITE evaluation tasks
Author(s): Wei-Jie Huang & Chao-Lin Liu
Pages: 311-330

5) An empirical study on evaluating basic characteristics and adaptability to users of a preventive care system with learning communication robots
Author(s): Daisuke Kitakoshi, Takuya Okano & Masato Suzuki
Pages: 331-351

6) Feature-driven linguistic-based entity matching in linked data with application in pharmacy
Author(s): Parisa D. Hossein Zadeh, Mahsa D. Hossein Zadeh & Marek Z. Reformat
Pages: 353-368

7) Ontologies in engineering: the OntoDB/OntoQL platform
Author(s): Yamine Ait-Ameur, Mickaël Baron, Ladjel Bellatreche, Stéphane Jean & Eric Sardet
Pages: 369-389

8) A semantic frame-based intelligent agent for topic detection
Author(s): Yung-Chun Chang, Yu-Lun Hsieh, Cen-Chieh Chen & Wen-Lian Hsu
Pages: 391-401

9) SLMBC: spiral life cycle model-based Bayesian classification technique for efficient software fault prediction and classification
Author(s): Rajaganapathy Chinna Gounder Dhanajayan & Subramani Appavu Pillai
Pages: 403-415

10) A trust model for recommender agent systems
Author(s): Elham Majd & Vimala Balakrishnan
Pages: 417-433

11) A novel path planning algorithm based on plant growth mechanism
Author(s): Yaoming Zhou, Yongchao Wang, Xuzhi Chen, Lei Zhang & Kan Wu
Pages: 435-445

12) Seam warping: a new approach for image retargeting for small displays
Author(s): Lixia Zhang, Kangshun Li, Zhaoming Ou & Fubin Wang
Pages: 447-457

13) New third-order Newton-like method with lower iteration number and lower TNFE
Author(s): Pantelimon George Popescu, Radu Poenaru & Florin Pop
Pages: 459-466

14) A three-stage global optimization method for server selection in content delivery networks
Author(s): Ting Wang, Junde Song & Meina Song
Pages: 467-475

15) Nature-inspired metaheuristic multivariate adaptive regression splines for predicting refrigeration system performance
Author(s): Min-Yuan Cheng, Jui-Sheng Chou & Minh-Tu Cao
Pages: 477-489

16) Modified EMG-based handgrip force prediction using extreme learning machine
Author(s): Hongxin Cao, Shouqian Sun & Kejun Zhang
Pages: 491-500

17) Finite life span for improving the selection scheme in evolution strategies
Author(s): Ali Ahrari & Oliver Kramer
Pages: 501-513

18) Loss evaluation analysis of illegal attack in SCSKP
Author(s): Peng Zhang, Lei Liu, Rui Zhang & Guangli Li
Pages: 515-524

19) Day-ahead electricity price forecasting using WPT, GMI and modified LSSVM-based S-OLABC algorithm
Author(s): H. Shayeghi, A. Ghasemi, M. Moradzadeh & M. Nooshyar
Pages: 525-541

20) Hypoglycemia detection: multiple regression-based combinational neural logic approach
Author(s): Sai Ho Ling, Phyo Phyo San, Hak Keung Lam & Hung T. Nguyen
Pages: 543-553

Tuesday, January 24, 2017

Review for 24 January 2016

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

  1. Strategies to increase the participation of women in computer science: http://www.techrepublic.com/article/how-northeastern-plans-to-reach-equal-male-female-cs-enrollment-by-2021/
  2. How to apply machine learning to business problems: http://techemergence.com/apply-machine-learning-to-business-problems/ 
  3. And, where to apply machine learning first in business: http://techemergence.com/where-to-apply-machine-learning-first/
  4. A beginner's guide to chatbots: https://chatbotsmagazine.com/the-complete-beginner-s-guide-to-chatbots-8280b7b906ca#.yopzsjy0k 
  5. How to stay competitive in the business of machine learning: http://www.kdnuggets.com/2017/01/stay-competitive-machine-learning-business.html 
  6. Guide to statistical hypothesis testing: http://www.datasciencecentral.com/profiles/blogs/your-guide-to-master-hypothesis-testing-in-statistics 
  7. Generative Adversarial Networks: http://www.kdnuggets.com/2017/01/generative-adversarial-networks-hot-topic-machine-learning.html 
  8. List of tools for building chatbots: https://chatbotsmagazine.com/the-tools-every-bot-creator-must-know-c0e9dd685094#.l49kg88c8 
  9. Introduction to how to do big data with Python: http://dataconomy.com/2016/10/big-data-python/ 
  10. Deep learning on low-power chips: http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/ai-startup-neurala-deep-learning-for-nasa-powers-earth-robots 
  11. Support vector machines in R: http://www.datasciencecentral.com/profiles/blogs/learn-support-vector-machine-svm-from-scratch-in-r 
  12. White collar workers are already losing their jobs to AI: https://qz.com/875491/japanese-white-collar-workers-are-already-being-replaced-by-artificial-intelligence/
  13. This is troubling - a valuable resource is off-line. I hope legal bullying was not behind this: http://www.sciencemag.org/news/2017/01/mystery-controversial-list-predatory-publishers-disappears
  14. Biased data sets produce biased models which produce biased predictions. That's a fundamental of machine learning: http://motherboard.vice.com/en_au/read/minority-retort-why-oakland-police-turned-down-predictive-policing
  15. 3 guiding principles for an ethical AI: http://www.techrepublic.com/article/3-guiding-principles-for-ethical-ai-from-ibm-ceo-ginni-rometty/ 
  16. We're not ready for the enormous displacement of jobs that will be caused by automation & AI: https://www.theguardian.com/technology/2017/jan/11/robots-jobs-employees-artificial-intelligence 
  17. Companies need an AI strategy if employees are to get behind roll-out of AI: https://www.datanami.com/2017/01/17/ai-inevitable-retraining-needed-survey-finds/ 
  18. Using AI to estimate repair costs in car insurance claims: https://techcrunch.com/2017/01/19/in-the-future-ai-could-also-mean-auto-insurance/ 
  19. Applying ANN based style transfer to a movie: https://techcrunch.com/2017/01/19/kristen-stewart-co-authored-a-paper-on-style-transfer-and-the-ai-community-lost-its-mind/ 
  20. How to build your research output in one hour per day: http://science.sciencemag.org/content/353/6300/718 
  21. Deep learning applied to natural language processing: http://www.kdnuggets.com/2017/01/deep-learning-applied-natural-language-processing.html 
  22. AI created by AI: https://www.technologyreview.com/s/603381/ai-software-learns-to-make-ai-software/ … We're doomed.
  23. AI is having a huge impact on retail: http://www.informationweek.com/strategic-cio/digital-business/ai-technology-takes-center-stage-at-retail-convention/d/d-id/1327897 
  24. Deep learning is getting faster and cheaper: http://spectrum.ieee.org/computing/hardware/expect-deeper-and-cheaper-machine-learning 
  25. Battle of the chatbots: http://www.theregister.co.uk/2017/01/18/chatbot_battle/
  26. Automated machine learning: http://www.kdnuggets.com/2017/01/current-state-automated-machine-learning.html
  27. Predicting mortality of cardiac patients: http://www.ibtimes.co.uk/ai-can-predict-when-patients-will-die-heart-failure-80-accuracy-1601517
  28. Inter-disciplinary research can take a long time to publish: https://www.insidehighered.com/news/2016/12/02/scholar-complains-how-long-it-can-take-publish-interdisciplinary-science I know this from my own research.
  29. Research is needed at universities, but the undergrads are paying to be taught: http://www.theatlantic.com/education/archive/2016/11/have-public-universities-lost-their-focus/508424/
  30. How scientists use social media: https://www.eurekalert.org/pub_releases/2016-10/uoo-nsr101216.php
  31. AI will put managers out of work before skilled workers: https://www.theguardian.com/business/economics-blog/2017/jan/22/the-new-robot-revolution-will-take-the-bosss-job-not-the-gardeners 
  32. Machine learning might soon displace radiologists and pathologists: http://www.techrepublic.com/article/why-ai-is-about-to-make-some-of-the-highest-paid-doctors-obsolete/ 
  33. Introducing ethics into AI: https://techcrunch.com/2017/01/22/ethics-the-next-frontier-for-artificial-intelligence/