Monday, June 19, 2017

Weekly Review 19 June 2017

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

  1. An Ask Slashdot discussion on jobs in AI:
  2. A script-writing AI producing lines for David Hasselhoff:
  3. Creating a classifier in SKLearn: 
  4. Five things AI (neural networks) can do better than people:
  5. Using machine learning to detect identity thieves, from the way they move their mouse:
  6. Combining quantum computing and machine learning:
  7. Predicting suicide risk with machine learning:
  8. A neural network based negotiating bot:
  9. Automating comment moderation with machine learning:
  10. A deep learning powered four armed robot that composes marimba music:
  11. Yes, prospective employers will check your social media presences:
  12. A collection of 150 intelligent agents has beaten the game Ms Pacman:
  13. 8 techniques for data mining:
  14. Microsoft is using deep neural networks to turn photos into art:
  15. Applying AI to call centres:
  16. AI is predicted to create 800,000 jobs by 2021:

Tuesday, June 13, 2017

IEEE Transactions on Cognitive and Developmental Systems, Volume 9, Number 2, June 2017

1. Yielding Self-Perception in Robots Through Sensorimotor Contingencies
Author(s): P. Lanillos, E. Dean-Leon and G. Cheng
Pages: 100 - 112

2. Online Multimodal Ensemble Learning Using Self-Learned Sensorimotor Representations
Author(s): M. Zambelli and Y. Demirisy
Pages: 113 - 126

3. Perception of Localized Features During Robotic Sensorimotor Development
Author(s): A. Giagkos, D. Lewkowicz, P. Shaw, S. Kumar, M. Lee and Q. Shen
Pages: 113 - 126

4. Building a Sensorimotor Representation of a Naive Agent’s Tactile Space
Author(s): V. Marcel, S. Argentieri and B. Gas
Pages: 141 - 152

5. A Multimodal Model of Object Deformation Under Robotic Pushing
Author(s): V. E. Arriola-Rios and J. L. Wyatt
Pages: 153 - 169

6. Analysis of Cognitive Dissonance and Overload through Ability-Demand Gap Models
Author(s): G. Hossain and M. Yeasin
Pages: 170 - 182

7. Constructing a Language From Scratch: Combining Bottom–Up and Top–Down Learning Processes in a Computational Model of Language Acquisition
Author(s): J. Gaspers, P. Cimiano, K. Rohlfing and B. Wrede
Pages: 183 - 196

8. Behavior-Based SSVEP Hierarchical Architecture for Telepresence Control of Humanoid Robot to Achieve Full-Body Movement
Author(s): J. Zhao, W. Li, X. Mao, H. Hu, L. Niu and G. Chen
Pages: 197 - 209

Monday, June 12, 2017

IEEE Transactions on Fuzzy System, Volume 25, Issue 3, June 2017

1. A Profit Maximizing Solid Transportation Model Under a Rough Interval Approach
Author(s): A. Das, U. Kumar Bera and M. Maiti
Pages: 485-498

2. Design of State Feedback Adaptive Fuzzy Controllers for Second-Order Systems Using a Frequency Stability Criterion
Author(s): K. Wiktorowicz
Pages: 499-510

3. Dynamic Output-Feedback Dissipative Control for T–S Fuzzy Systems With Time-Varying Input Delay and Output Constraints
Author(s): H. D. Choi, C. K. Ahn, P. Shi, L. Wu and M. T. Lim
Pages: 511-526

4. Adaptive Predefined Performance Control for MIMO Systems With Unknown Direction via Generalized Fuzzy Hyperbolic Model
Author(s): L. Liu, Z. Wang, Z. Huang and H. Zhang
Pages: 527-542

5. Revisiting Fuzzy Set and Fuzzy Arithmetic Operators and Constructing New Operators in the Land of Probabilistic Linguistic Computing
Author(s): S. C. Ngan
Pages: 543-555

6. Asymptotic Fuzzy Tracking Control for a Class of Stochastic Strict-Feedback Systems
Author(s): C. Chen, Z. Liu, Y. Zhang, C. L. P. Chen and S. Xie
Pages: 556-568

7. Approaches to T–S Fuzzy-Affine-Model-Based Reliable Output Feedback Control for Nonlinear Itô Stochastic Systems
Author(s): Y. Wei, J. Qiu, H. K. Lam and L. Wu
Pages: 569-583

8. Pixel Modeling Using Histograms Based on Fuzzy Partitions for Dynamic Background Subtraction
Author(s): Z. Zeng, J. Jia, D. Yu, Y. Chen and Z. Zhu
Pages: 584-593

9. Varying Spread Fuzzy Regression for Affective Quality Estimation
Author(s): K. Y. Chan and U. Engelke
Pages: 594-613

10. Ranking of Multidimensional Uncertain Information Based on Metrics on the Fuzzy Ellipsoid Number Space
Author(s): G. Wang and Y. Li
Pages: 614-626

11. The Spatial Disaggregation Problem: Simulating Reasoning Using a Fuzzy Inference System
Author(s): J. Verstraete
Pages: 627-641

12. Adaptive Fuzzy Backstepping Tracking Control for Strict-Feedback Systems With Input Delay
Author(s): H. Li, L. Wang, H. Du and A. Boulkroune
Pages: 642-652

13. Dynamic Output Feedback-Predictive Control of a Takagi–Sugeno Model With Bounded Disturbance
Author(s): B. Ding and H. Pan
Pages: 653-667

14. Command-Filtered-Based Fuzzy Adaptive Control Design for MIMO-Switched Nonstrict-Feedback Nonlinear Systems
Author(s): Y. Li and S. Tong
Pages: 668-681

15. Type-2 Fuzzy Alpha-Cuts
Author(s): H. Hamrawi, S. Coupland and R. John
Pages: 682-692

16. A New Look at Type-2 Fuzzy Sets and Type-2 Fuzzy Logic Systems
Author(s): L. X. Wang
Pages: 693-706

17. LMI-Based Stability Analysis for Piecewise Multi-affine Systems
Author(s): A. T. Nguyen, M. Sugeno, V. Campos and M. Dambrine
Pages: 707-714

18. An Extended Type-Reduction Method for General Type-2 Fuzzy Sets
Author(s): B. K. Xie and S. J. Lee
Pages: 715-724

19. Critique of “A New Look at Type-2 Fuzzy Sets and Type-2 Fuzzy Logic Systems"
Author(s): J. M. Mendel and D. Wu
Pages: 725-727

Saturday, June 10, 2017

Weekly Review 9 June 2017

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

  1.  Microsoft has released version 2.0 of its deep learning toolkit:
  2. An overview of tensors, as used in TensorFlow: 
  3. How rat brains are inspiring the next generation of artificial neural networks:
  4. Despite the article title Watson isn't diagnosing cancer, it's helping plan how to treat it:
  5. An overview of neurocomputing hardware - hardware inspired by the brain:
  6. Four tips for job interviews - these apply to interviews for academic positions as well:
  7. Three things intelligent machines need to copy from the human brain:
  8. Hawkins' book "On Intelligence" is very good, must re-read sometime soon:
  9. So valedictorians (dux in NZ) go on to lead good lives, but seldom achieve particularly highly:
  10. Why we need to build an artificial brain or, why neuromorphic computing is a good idea:
  11. We could build an artificial brain now, but probably wouldn't want to pay for it:
  12. If you're looking for a job, be careful what you say on social media (including Twitter!)
  13. Deep learning can't tell what Homer Simpson is doing. Or, why DeepMind built an enormous database of videos:
  14. If I am advertising for a new staff member, I will read the cover letters of applicants:
  15. Using AI in children's educational apps:
  16. Combining relational networks with deep learning:
  17. Paper on adding relational reasoning to deep neural networks:
  18. How AI can make things worse, instead of better:

Friday, June 9, 2017

Neural Networks, Volume 92, Pages 1-98, August 2017

Special Issue "Advances in Cognitive Engineering Using Neural Networks" Edited by Minho Lee, Steven Bressler and Robert Kozma

1. Advances in Cognitive Engineering Using Neural Networks  
Author(s): Minho Lee, Steven Bressler, Robert Kozma
Pages: 1-2

2. How can a recurrent neurodynamic predictive coding model cope with fluctuation in temporal patterns? Robotic experiments on imitative interaction   
Author(s): Ahmadreza Ahmadi, Jun Tani
Pages: 3-16

3. Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors   
Author(s): Sang-Woo Lee, Chung-Yeon Lee, Dong-Hyun Kwak, Jung-Woo Ha, Jeonghee Kim, Byoung-Tak Zhang
Pages: 17-28

4. Understanding human intention by connecting perception and action learning in artificial agents   
Author(s): Sangwook Kim, Zhibin Yu, Minho Lee
Pages: 29-38

5. Application of structured support vector machine backpropagation to a convolutional neural network for human pose estimation   
Author(s): Peerajak Witoonchart, Prabhas Chongstitvatana
Pages: 39-46

6. Reprint of “Two-stage sparse coding of region covariance via Log-Euclidean kernels to detect saliency”   
Author(s): Ying-Ying Zhang, Cai Yang, Ping Zhang
Pages: 47-59

7. Evaluating deep learning architectures for Speech Emotion Recognition   
Author(s): Haytham M. Fayek, Margaret Lech, Lawrence Cavedon
Pages: 60-68

8. Weighted spatial based geometric scheme as an efficient algorithm for analyzing single-trial EEGS to improve cue-based BCI classification   
Author(s): Fatemeh Alimardani, Reza Boostani, Benjamin Blankertz
Pages: 69-76

9. Prediction of advertisement preference by fusing EEG response and sentiment analysis   
Author(s): Himaanshu Gauba, Pradeep Kumar, Partha Pratim Roy, Priyanka Singh, Debi Prosad Dogra, Balasubramanian Raman
Pages: 77-88

10. A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems   
Author(s): M.R. Gauthama Raman, Nivethitha Somu, Kannan Kirthivasan, V.S. Shankar Sriram
Pages: 89-97

Thursday, June 8, 2017

IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 1, Issue 3, June 2017

Special Issue on Computational Intelligence for Software Engineering and Services Computing

1. WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking
Author(s): F. Thung, R. J. Oentaryo, D. Lo and Y. Tian
Pages: 145-156

2. Context-Aware, Adaptive, and Scalable Android Malware Detection Through Online Learning
Author(s): A. Narayanan, M. Chandramohan, L. Chen and Y. Liu
Pages: 157-175

3. A Model-Driven Approach to Enable Adaptive QoS in DDS-Based Middleware
Author(s): J. F. Inglés-Romero, A. Romero-Garcés, C. Vicente-Chicote and J. Martínez
Pages: 176-187

4. Search-Based Energy Optimization of Some Ubiquitous Algorithms
Author(s): A. E. I. Brownlee, N. Burles and J. Swan
Pages: 188-201

5. Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method
Author(s): D. Di Nucci, F. Palomba, R. Oliveto and A. De Lucia
Pages: 202-212

6. Epistasis Based ACO for Regression Test Case Prioritization
Author(s): Y. Bian, Z. Li, R. Zhao and D. Gong
Pages: 213-223

7. A Model-Driven Methodology for the Design of Autonomic and Cognitive IoT-Based Systems: Application to Healthcare
Author(s): E. Mezghani, E. Exposito and K. Drira
Pages: 224-234

Saturday, June 3, 2017

Complex & Intelligent Systems, Vol. 3, No. 2, June 2017

1. Constructing enhanced default theories incrementally
Author(s): Ghassan Beydoun, Achim Hoffmann, Asif Gill
Pages: 83-92

2. Age estimation from a face image in a selected gender-race group based on ranked local binary patterns
Author(s): Andrey Rybintsev
Pages: 93-104

3. An insight into imbalanced Big Data classification: outcomes and challenges
Author(s): Alberto Fernández, Sara del Río, Nitesh V. Chawla, Francisco Herrera
Pages: 105-120

4. An evolutionary hybrid method to predict pistachio price
Author(s): Azim Heydari, Farshid Keynia, Nasser Shahsavari-Pour, Reza Sedaghat
Pages: 121-132

5. Big data for secure healthcare system: a conceptual design
Author(s): Bikash Kanti Sarkar
Pages: 133-151

Friday, June 2, 2017

Weeky Review 2 June 2017

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

  1. An interview on how deep learning is used to infer human emotions:
  2. Why quantum computing is necessary for the future of AI: 
  3. Who is liable when an AI misdiagnoses a patient? A society being over-litigious makes this a problem.
  4. Shifting jobs in IT - what is going to become obsolete, and what is going to become more important:
  5. AlphaGo has defeated the world's best human Go player:
  6. "Music" composed by a neuromorphic chip: 
  7. AI in healthcare works better alongside humans, not replacing them:
  8. The relationship between AI and statistics (and abuse thereof): 
  9. AlphaGo has defeated the world's best human Go player in 3 out of 3 matches: 
  10. Time for academics to again control academic journals, rather than greedy, predatory corporations: 
  11. Using facial recognition technology to track if students are paying attention to a lecture: 
  12. A list of free tools for visualising data:
  13. How could we tell if a general AI were truly conscious? 
  14. Applying deep learning to sports analytics: 
  15. Is Apple developing a neural network chip? 
  16. Not so much racist algorithms, as the benchmark data sets are lacking diversity: 
  17. An AI that detects other AI: 
  18. Brief explanation of what an ontology is: 
  19. Quite a bit of disagreement over when AI will overtake humans: 
  20. Why it's a silly idea to try to teach everyone to code: 
  21. The challenges of identifying trust with machine learning: 
  22. The second wave of AI, and how it will impact humanity: 
  23. Nuts-ml, a Python library intended to preprocess data for machine learning algorithms: 
  24. How Google is using machine learning to improve security in GMail:
  25. Is China going to outstrip the USA in AI?
  26. A system that uses a neural network to generate code from a screenshot of a GUI:
  27. The New Zealand AI Forum is launching:

IEEE Transactions on Neural Networks and Learning Systems, Volume 28, Issue 6, June 2017

1. Holographic Graph Neuron: A Bioinspired Architecture for Pattern Processing
Author(s): Denis Kleyko; Evgeny Osipov; Alexander Senior; Asad I. Khan; Yaşar Ahmet Şekerciogğlu
Page(s): 1250 - 1262

2. Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection
Author(s): Xiaofeng Zhu; Xuelong Li; Shichao Zhang; Chunhua Ju; Xindong Wu
Page(s): 1263 - 1275

3. Rate of Convergence of the FOCUSS Algorithm
Author(s): Kan Xie; Zhaoshui He; Andrzej Cichocki; Xiaozhao Fang
Page(s): 1276 - 1289

4. Action and Event Recognition in Videos by Learning From Heterogeneous Web Sources
Author(s): Li Niu; Xinxing Xu; Lin Chen; Lixin Duan; Dong Xu
Page(s): 1290 - 1304

5. Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data
Author(s): Enmei Tu; Nikola Kasabov; Jie Yang
Page(s): 1305 - 1317

6. Adaptive Neural Control of Uncertain MIMO Nonlinear Systems With State and Input Constraints
Author(s): Ziting Chen; Zhijun Li; C. L. Philip Chen
Page(s): 1318 - 1330

7. Co-Operative Coevolutionary Neural Networks for Mining Functional Association Rules
Author(s): Bing Wang; Kathryn E. Merrick; Hussein A. Abbass
Page(s): 1331 - 1344

8. Quantum Ensemble Classification: A Sampling-Based Learning Control Approach
Author(s): Chunlin Chen; Daoyi Dong; Bo Qi; Ian R. Petersen; Herschel Rabitz
Page(s): 1345 - 1359

9. A Regularizer Approach for RBF Networks Under the Concurrent Weight Failure Situation
Author(s): Chi-Sing Leung; Wai Yan Wan; Ruibin Feng
Page(s): 1360 - 1372

10. Clustering Through Hybrid Network Architecture With Support Vectors
Author(s): Emrah Ergul; Nafiz Arica; Narendra Ahuja; Sarp Erturk
Page(s): 1373 - 1385

11. Design and Application of a Variable Selection Method for Multilayer Perceptron Neural Network With LASSO
Author(s): Kai Sun; Shao-Hsuan Huang; David Shan-Hill Wong; Shi-Shang Jang
Page(s): 1386 - 1396

12. Robustly Fitting and Forecasting Dynamical Data With Electromagnetically Coupled Artificial Neural Network: A Data Compression Method
Author(s): Ziyin Wang; Mandan Liu; Yicheng Cheng; Rubin Wang
Page(s): 1397 - 1410

13. Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method
Author(s): Xiurui Xie; Hong Qu; Zhang Yi; Jürgen Kurths
Page(s): 1411 - 1424

14. Sparseness Analysis in the Pretraining of Deep Neural Networks
Author(s): Jun Li; Tong Zhang; Wei Luo; Jian Yang; Xiao-Tong Yuan; Jian Zhang
Page(s): 1425 - 1438

15. Barrier Function-Based Neural Adaptive Control With Locally Weighted Learning and Finite Neuron Self-Growing Strategy
Author(s): Zi-Jun Jia; Yong-Duan Song
Page(s): 1439 - 1451

16. Label Propagation via Teaching-to-Learn and Learning-to-Teach
Author(s): Chen Gong; Dacheng Tao; Wei Liu; Liu Liu; Jie Yang
Page(s): 1452 - 1465

17. Optimized Kernel Entropy Components
Author(s): Emma Izquierdo-Verdiguier; Valero Laparra; Robert Jenssen; Luis Gómez-Chova; Gustau Camps-Valls
Page(s): 1466 - 1472

18. Quantized Iterative Learning Consensus Tracking of Digital Networks With Limited Information Communication
Author(s): Wenjun Xiong; Xinghuo Yu; Yao Chen; Jie Gao
Page(s): 1473 - 1480

19. Biomimetic Hybrid Feedback Feedforward Neural-Network Learning Control
Author(s): Yongping Pan; Haoyong Yu
Page(s): 1481 - 1487

Tuesday, May 23, 2017

Weekly Review 23 May 2017

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

  1. The importance of visual (image) data to future developments in AI:
  2. One-shot visual learning of tasks from humans in VR with neural networks: 
  3. Detecting masks and guns in CCTV feeds, using deep learning: 
  4. Machine learning can eliminate bias in hiring, but only if the training data is unbiased: 
  5. Diagnosing concussions with deep learning: 
  6. Conference submission deadline: ICONIP 2017 
  7. How to build a text classifier utilising machine learning:
  8. This guy does not like the R language, and not without some good reasons: 
  9. Academic resumes tend to be long, but it helps to put the main points on the first or second page:
  10. 5 different types of recommenders explained: 
  11. Google has brought TensorFlow to Android:
  12. A neural network that invents new paint colours and names: "Clardic fug" is probably my favourite paint name.
  13. How to build, and convert into code, decisions trees in Python: 
  14. Google's AI is starting to manage relationships between people: 
  15. AI in agriculture-a bit vague about what the AI is, though: 
  16. Google is making its Tensor Processing Units available via the cloud: 
  17. An argument that AI is not driving cloud adoption: 
  18. So Canada's developing a nation-wide AI strategy? 
  19. An AI that is "outrageous in a great way":