Soft Computing, Volume 25, issue 14, July 2021

1) Filters and congruences in sectionally pseudocomplemented lattices and posets

Author(s): Ivan Chajda & Helmut Länger

Pages: 8827 - 8837

2) Symmetrical Heyting algebras of order 3×3

Author(s): Carlos Gallardo & Alicia Ziliani

Pages: 8839 - 8847

3) Asian rainbow option pricing formulas of uncertain stock model

Author(s): Rong Gao, Wei Wu & Jie Liu

Pages: 8849 - 8873

4) Soft homogeneity of soft topological sum

Author(s): Milan Matejdes

Pages: 8875 - 8881

5) A random walk-based method for detecting essential proteins by integrating the topological and biological features of PPI network

Author(s): Nahla Mohamed Ahmed, Ling Chen...Caiyan Dai

Pages: 8883 - 8903

6) An effective mobile-healthcare emerging emergency medical system using conformable chaotic maps

Author(s): Chandrashekhar Meshram, Rabha W. Ibrahim...Jitendra V. Tembhurne

Pages: 8905 - 8920

7) Earned duration management under uncertainty

Author(s): Amin Mahmoudi, Saad Ahmed Javed & Xiaopeng Deng

Pages: 8921 - 8940

8) Image convolution: a linear programming approach for filters design

Author(s): Giovanni Capobianco, Carmine Cerrone...Fabio Sebastiano

Pages: 8941 - 8956

9) Non-normal fuzzy number analysis in various levels using centroid method for fuzzy optimization

Author(s): M. Revathi & M. Valliathal

Pages: 8957 - 8969

10) Dropout prediction model in MOOC based on clickstream data and student sample weight

Author(s): Cong Jin

Pages: 8971 - 8988

11) On the significance of edges for connectivity in uncertain random graphs

Author(s): Hao Li & Xin Gao

Pages: 8989 - 8997

12) Bilingual Cyber-aggression detection on social media using LSTM autoencoder

Author(s): Kirti Kumari, Jyoti Prakash Singh...Nripendra Pratap Rana

Pages: 8999 - 9012

13) Granular rule-based modeling using the principle of justifiable granularity and boundary erosion clustering

Author(s): Fang Zhao, Hongyue Guo & Lidong Wang

Pages: 9013 - 9023

14) Differential evolution using novel individual evaluation and constraint handling techniques for constrained optimization

Author(s): Erping Song & Hecheng Li

Pages: 9025 - 9044

15) EDAS method for probabilistic linguistic multiple attribute group decision making and their application to green supplier selection

Author(s): Guiwu Wei, Cun Wei & Yanfeng Guo

Pages: 9045 - 9053

16) New proof to Somos’s Dedekind eta-function identities of level 10

Author(s): B. R. Srivatsa Kumar & Shruthi

Pages: 9055 - 9060

17) The evaluation performance for commercial banks by intuitionistic fuzzy numbers: the case of Spain

Author(s): Javier Reig-Mullor & Jose Manuel Brotons-Martinez

Pages: 9061 - 9075

18) Pareto-like sequential sampling heuristic for global optimisation

Author(s): Mahmoud Shaqfa & Katrin Beyer

Pages: 9077 - 9096

19) Applications of improved spherical fuzzy Dombi aggregation operators in decision support system

Author(s): Qaisar Khan, Tahir Mahmood & Kifayat Ullah

Pages: 9097 - 9119

20) Interval-valued probabilistic uncertain linguistic information for decision-making: selection of hydrogen production methodology

Author(s): R. Krishankumar, Arunodaya R. Mishra...Mukesh Kumar Mehlawat

Pages: 9121 - 9138

21) Difference sequence-based distance measure for intuitionistic fuzzy sets and its application in decision making process

Author(s): Zubair Ashraf, Mohd Shoaib Khan...Q. M. Danish Lohani

Pages: 9139 - 9161

22) An intelligent Bayesian hybrid approach to help autism diagnosis

Author(s): Paulo Vitor de Campos Souza, Augusto Junio Guimaraes...Edwin Lughofer

Pages: 9163 - 9183

23) Classical and Bayesian estimation of multicomponent stress–strength reliability for exponentiated Pareto distribution

Author(s): Fatma Gül Akgül

Pages: 9185 - 9197

24) DPC-based combined model for PM2.5 forecasting: four cities in China

Author(s): Yuanyuan Wang, Xiao Wang, Suling Zhu

Pages: 9199 - 9208

25) An air quality forecasting model based on improved convnet and RNN

Author(s): Baowei Wang, Weiwen Kong & Peng Zhao

Pages: 9209 - 9218

26) Scalable algorithm for generation of attribute implication base using FP-growth and spark

Author(s): Raghavendra Kumar Chunduri & Aswani Kumar Cherukuri

Pages: 9219 - 9240

27) An intelligent hybrid deep belief network model for predicting students employability

Author(s): Anita Bai & Swati Hira

Pages: 9241 - 9254

28) A general purpose multi-fruit system for assessing the quality of fruits with the application of recurrent neural network

Author(s): Bhumica Dhiman, Yogesh Kumar & Yu-Chen Hu

Pages: 9255 - 9272

29) Pyramidal convolution attention generative adversarial network with data augmentation for image denoising

Author(s): Qiongshuai Lyu, Dongliang Xia...Rui Li

Pages: 9273 - 9284

30) Racing trees to query partial data

Author(s): Vu-Linh Nguyen, Sébastien Destercke...Rashad Ghassani

Pages: 9285 - 9305

31) Feature-label dual-mapping for missing label-specific features learning

Author(s): Lulu Zhang, Yusheng Cheng...Gensheng Pei

Pages: 9307 - 9323

32) Flood hazards susceptibility mapping using statistical, fuzzy logic, and MCDM methods

Author(s): Hüseyin Akay

Pages: 9325 - 9346

33) Fusion facial semantic feature and incremental learning mechanism for efficient face recognition

Author(s): Rui Zhong, Huaiyu Wu...Qi Zhong

Pages: 9347 - 9363

34) POCASUM: policy categorizer and summarizer based on text mining and machine learning

Author(s): Rushikesh Deotale, Shreyash Rawat...V. B. Surya Prasath

Pages: 9365 - 9375

35) An efficient e-learning recommendation system for user preferences using hybrid optimization algorithm

Author(s): N. Vedavathi & K. M. Anil Kumar

Pages: 9377 - 9388

36) Symbiotic organisms search algorithm-based security-constrained AC–DC OPF regarding uncertainty of wind, PV and PEV systems

Author(s): Serhat Duman, Jie Li...Nuran Yorukeren

Pages: 9389 - 9426

37) A quantum multi-objective optimization algorithm based on harmony search method

Author(s): Alireza Sadeghi Hesar, Seyed Reza Kamel & Mahboobeh Houshmand

Pages: 9427 - 9439

38) An improved crow search algorithm for solving numerical optimization functions

Author(s): Jafar Gholami, Farhad Mardukhi & Hossam M. Zawbaa

Pages: 9441 - 9454

39) A novel search space reduction optimization algorithm

Author(s): Aeidapu Mahesh & Gangireddy Sushnigdha

Pages: 9455 - 9482

40) UAV flight coordination for communication networks: genetic algorithms versus game theory

Author(s): Alexandros Giagkos, Elio Tuci...Philip B. Charlesworth

Pages: 9483 - 9503

41) Chaotic gaining sharing knowledge-based optimization algorithm: an improved metaheuristic algorithm for feature selection

Author(s): Prachi Agrawal, Talari Ganesh & Ali Wagdy Mohamed

Pages: 9505 - 9528

42) A novel tournament selection based on multilayer cultural characteristics in gene-culture coevolutionary multitasking

Author(s): Lizhong Yao, Wei Long...Qingzheng Xu

Pages: 9529 - 9543

43) Modified whale optimization algorithm for solving unrelated parallel machine scheduling problems

Author(s): Mohammed A. A. Al-qaness, Ahmed A. Ewees & Mohamed Abd Elaziz

Pages: 9545 - 9557

44) New chance-constrained models for U-type stochastic assembly line balancing problem

Author(s): Mehmet Pınarbaşı

Pages: 9559 - 9573

45) Fuzzy MABAC method based on new exponential fuzzy information measures

Author(s): Rajkumar Verma

Pages: 9575 - 9589

46) MOSOSS: an adapted multi-objective symbiotic organisms search for scheduling

Author(s): Anata-Flavia Ionescu & Raluca Vernic

Pages: 9591 - 9607

47) Hierarchical matching network for multi-turn response selection in retrieval-based chatbots

Author(s): Hui Ma, Jian Wang...Yijia Zhang

Pages: 9609 - 9624

48) Determining weights of criteria via network influence maps with pseudonodes

Author(s): Jih-Jeng Huang

Pages: 9625 - 9637

49) Online writer identification using statistical modeling-based feature embedding

Author(s): Bagher BabaAli

Pages: 9639 - 9649x

50) Cascading residual–residual attention generative adversarial network for image super resolution

Author(s): Jianqiang Chen, Yali Zhang...Calvin Yu-Chian Chen

Pages: 9651 - 9662

IEEE Transactions on Cognitive and Developmental Systems; Volume 13, Number 2, June 2021

1. Guest Editorial Special Issue on Continual Unsupervised Sensorimotor Learning
Author(s): Nicolás Navarro-Guerrero;Sao Mai Nguyen;Erhan Oztop;Junpei Zhong
Pages: 234 - 238

2. CLIC: Curriculum Learning and Imitation for Object Control in Nonrewarding Environments
Author(s): Pierre Fournier;Cédric Colas;Mohamed Chetouani;Olivier Sigaud
Pages: 239 - 248

3. BND*-DDQN: Learn to Steer Autonomously Through Deep Reinforcement Learning
Author(s): Keyu Wu;Han Wang;Mahdi Abolfazli Esfahani;Shenghai Yuan
Pages: 249 - 261

4. Intrinsically Motivated Hierarchical Policy Learning in Multiobjective Markov Decision Processes
Author(s): Sherif Abdelfattah;Kathryn Merrick;Jiankun Hu
Pages: 262 - 273

5. Open-Ended Continuous Learning of Compound Goals
Author(s): Paresh Dhakan;Kathryn Kasmarik;Iñaki Rañó;Nazmul Siddique
Pages: 274 - 285

6. Effect Regulated Projection of Robot’s Action Space for Production and Prediction of Manipulation Primitives Through Learning Progress and Predictability-Based Exploration
Author(s): Serkan Bugur;Erhan Oztop;Yukie Nagai;Emre Ugur
Pages: 286 - 297

7. Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives
Author(s): Christian Gumbsch;Martin V. Butz;Georg Martius
Pages: 298 - 311

8. Where Do I Move My Sensors? Emergence of a Topological Representation of Sensors Poses From the Sensorimotor Flow
Author(s): Valentin Marcel;Sylvain Argentieri;Bruno Gas
Pages: 312 - 325

9. Vocal Imitation in Sensorimotor Learning Models: A Comparative Review
Author(s): Silvia Pagliarini;Arthur Leblois;Xavier Hinaut
Pages: 326 - 342

10. Speech Emotion Recognition Based on Robust Discriminative Sparse Regression
Author(s): Peng Song;Wenming Zheng;Yanwei Yu;Shifeng Ou
Pages: 343 - 353

11. A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition
Author(s): Yang Li;Lei Wang;Wenming Zheng;Yuan Zong;Lei Qi;Zhen Cui;Tong Zhang;Tengfei Song
Pages: 354 - 367

12. Epileptic Signal Classification Based on Synthetic Minority Oversampling and Blending Algorithm
Author(s): Dinghan Hu;Jiuwen Cao;Xiaoping Lai;Junbiao Liu;Shuang Wang;Yao Ding
Pages: 368 - 382

13. Reconfiguration of Brain Network Between Resting State and P300 Task
Author(s): Fali Li;Chanlin Yi;Yuanyuan Liao;Yuanling Jiang;Yajing Si;Limeng Song;Tao Zhang;Dezhong Yao;Yangsong Zhang;Zehong Cao;Peng Xu
Pages: 383 - 390

14. A Novel Grip Force Cognition Scheme for Robot-Assisted Minimally Invasive Surgery
Author(s): Yongchen Guo;Bo Pan;Yili Fu;Max Q.-H. Meng
Pages: 391 - 402

15. Investigation of Local White Matter Properties in Professional Chess Player: A Diffusion Magnetic Resonance Imaging Study Based on Automatic Annotation Fiber Clustering
Author(s): Yuanjing Feng;Jiahao Song;Wenxuan Yan;Jingqiang Wang;Changchen Zhao;Qingrun Zeng
Pages: 403 - 415

16. Robot Multimodal Object Perception and Recognition: Synthetic Maturation of Sensorimotor Learning in Embodied Systems
Author(s): Raphaël Braud;Alexandros Giagkos;Patricia Shaw;Mark Lee;Qiang Shen
Pages: 416 - 428

17. A Hippocampal–Entorhinal System Inspired Model for Visual Concept Representation
Author(s): Huankun Sheng;Hongwei Mo;Christian-Marie Moanda Ndeko Mosengo
Pages: 429 - 441

Call for Papers
IEEE Transactions on Cognitive and Developmental Systems Special Issue on Prediction and Perception in Humans and Robots
Pages: 442 - 442

Soft Computing Volume 25, issue 13, July 2021

1) New estimator for the variances of strata in ranked set sampling
Author(s): M. Mahdizadeh & Ehsan Zamanzade
Pages: 8007 - 8013

2) CA-CSM: a novel clustering algorithm based on cluster center selection model
Author(s): Jin Yu, Xiaoming You & Sheng Liu
Pages: 8035 - 8050

3) An infeasible solutions diversity maintenance epsilon constraint handling method for evolutionary constrained multiobjective optimization
Author(s): Jinlong Zhou, Juan Zou...Tingrui Pei

Pages: 8051 - 8062

4) Interval-valued belief entropies for Dempster–Shafer structures
Author(s): Yige Xue & Yong Deng
Pages: 8063 - 8071

5) Sum of n-dimensional observables on MV-effect algebras
Author(s): Anatolij Dvurečenskij
Pages: 8073 - 8084

6) The spectra and reticulation of EQ-algebras
Author(s): Xiongwei Zhang & Jiang Yang
Pages: 8085 - 8093

7) An integrated shrinkage strategy for improving efficiency in fuzzy regression modeling
Author(s): Mojtaba Kashani, Mohammad Reza Rabiei & Mohammad Arashi
Pages: 8095 - 8107

8) Developing a new integrated artificial immune system and fuzzy non-discretionary DEA approach
Author(s): Alireza Amirteimoori, Majid Zadmirzaei & Fahimeh Hassanzadeh
Pages: 8109 - 8127

9) Heat transfer relation-based optimization algorithm (HTOA)
Author(s): Foad Asef, Vahid Majidnezhad...Saeed Parsa
Pages: 8129 - 8158

10) Internet of things to protect the environment: a technological transdisciplinary project to develop mathematics with ethical effects
Author(s): F. S. Tortoriello & I. Veronesi
Pages: 8159 - 8168

11) Machine seismic: an automatic approach for the identification of subsurface structural models
Author(s): Khawar Ashfaq Ahmed, Sarfraz Khan...Mahmood Sultan
Pages: 8169 - 8176

12) Ranking interval type-2 fuzzy number based on a novel value-ambiguity ranking index and its application in risk analysis
Author(s): Rituparna Chutia
Pages: 8177 - 8196

13) Economic resources’ allocation: A goal programming model integrated with a social accounting matrix
Author(s): Nooraddin Sharify
Pages: 8197 - 8204

14) Pythagorean fuzzy linguistic decision support model based on consistency-adjustment strategy and consensus reaching process
Author(s): Jinpei Liu, Mengdi Fang...Pengcheng Du
Pages: 8205 - 8221

15) A clique-based discrete bat algorithm for influence maximization in identifying top-k influential nodes of social networks
Author(s): Lihong Han, Kuan-Ching Li...Qingguo Zhou
Pages: 8223 - 8240

16) An efficient solution strategy for bilevel multiobjective optimization problems using multiobjective evolutionary algorithm
Author(s): Hong Li & Li Zhang
Pages: 8241 - 8261

17) Interval-valued hesitant fuzzy TODIM method for dynamic emergency responses
Author(s): Quanyu Ding, Mark Goh & Ying-Ming Wang
Pages: 8263 - 8279

18) Integrating mutation operator into grasshopper optimization algorithm for global optimization
Author(s): Sanaa A. A. Ghaleb, Mumtazimah Mohamad...Waheed A. H. M. Ghanem
Pages: 8281 - 8324

19) A cooperative bat searching algorithm with application to model predictive control
Author(s): Haopeng Zhang
Pages: 8325 - 8335

20) Recent trends in knowledge graphs: theory and practice
Author(s): Sanju Tiwari, Fatima N. Al-Aswadi & Devottam Gaurav
Pages: 8337 - 8355

21) MBFerns: classification and extraction of actionable knowledge using Multi-Branch Ferns-based Naive Bayesian classifier
Author(s): U. B. Angadi, Anil Rai & G. Uma
Pages: 8357 - 8369

22) Development of a supply chain configuration model for new product development: a multi-objective solution approach
Author(s): Amit Kumar Sinha & Ankush Anand
Pages: 8371 - 8389

23) A hybrid fuzzy COPRAS-base-criterion method for multi-criteria decision making
Author(s): Monika Narang, M. C. Joshi & A. K. Pal
Pages: 8391 - 8399

24) Penalized regression via the restricted bridge estimator
Author(s): Bahadır Yüzbaşı, Mohammad Arashi & Fikri Akdeniz
Pages: 8401 - 8416

25) Bipolar trapezoidal neutrosophic sets and their Dombi operators with applications in multicriteria decision making
Author(s): Hüseyin Kamacı, Harish Garg & Subramanian Petchimuthu
Pages: 8417 - 8440

26) Q-neutrosophic soft graphs in operations management and communication network
Author(s): Vakkas Uluçay
Pages: 8441 - 8459

27) Weighted support vector machine using fuzzy rough set theory
Author(s): Somaye Moslemnejad & Javad Hamidzadeh
Pages: 8461 - 8481

28) Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models

Author(s): Milad Shahvaroughi Farahani & Seyed Hossein Razavi Hajiagha
Pages: 8483 - 8513

29) Pricing rules of Green Supply Chain considering Big Data information inputs and cost-sharing model

Author(s): Pan Liu
Pages: 8515 - 8531

30) Representations of Sheffer stroke algebras and Visser algebras
Author(s): Ali Molkhasi
Pages: 8533 - 8538

31) An efficient Monte Carlo simulation for new uncertain Heston–CIR hybrid model
Author(s): Behrouz Fathi-Vajargah, Mohammad Mirzazadeh & Sara Ghasemalipour
Pages: 8539 - 8547

32) Decision aid modeling based on sine trigonometric spherical fuzzy aggregation information
Author(s): Shahzaib Ashraf & Saleem Abdullah
Pages: 8549 - 8572

33) Ordering of functions according to multiple fuzzy criteria: application to denoising electroencephalography
Author(s): Burgos-Madrigal Andrea, Orihuela-Espina Felipe & Reyes-García Carlos Alberto
Pages: 8573 - 8593

34) On a new distance measure of three-parameter interval numbers and its application to pattern recognition
Author(s): Xingxing He, Yingfang Li & Keyun Qin
Pages: 8595 - 8607

35) Some new algebraic structures of soft sets

Author(s): Emin Aygün & Hüseyin Kamacı
Pages: 8609 - 8626

36) An approximate solution of Riccati’s differential equation using fuzzy linguistic model
Author(s): S. Mohammadzadeh far, M. Adabitabar Firozja...B. Agheli
Pages: 8627 - 8633

37) Bi-Level linear programming of intuitionistic fuzzy
Author(s): Nazek A. Alessa
Pages: 8635 - 8641

38) On (1,2)*-fuzzy soft b-continuity in fuzzy soft bitopological spaces
Author(s): A. F. Sayed
Pages: 8643 - 8652

39) European barrier option pricing formulas of uncertain currency model
Author(s): Jie Deng & Zhongfeng Qin
Pages: 8653 - 8663

40) A wrapper metaheuristic framework for handwritten signature verification
Author(s): Emrah Hancer, Ilya Hodashinsky...Artyom Slezkin
Pages: 8665 - 8681

41) A comparative study of nature-inspired metaheuristic algorithms using a three-phase hybrid approach for gene selection and classification in high-dimensional cancer datasets
Author(s): Shilan S. Hameed, Wan Haslina Hassan...Fahmi F. Muhammadsharif
Pages: 8683 - 8701

42) Scalable incremental fuzzy consensus clustering algorithm for handling big data
Author(s): Preeti Jha, Aruna Tiwari...Mukkamalla Mounika
Pages: 8703 - 8719

43) Three-class brain tumor classification using deep dense inception residual network
Author(s): Srinath Kokkalla, Jagadeesh Kakarla...Munesh Singh
Pages: 8721 - 8729

44) Attribute dependency data analysis for massive datasets by fuzzy transforms
Author(s): Ferdinando Di Martino & Salvatore Sessa
Pages: 8731 - 8746

45) Deep neural network hyper-parameter tuning through twofold genetic approach
Author(s): Puneet Kumar, Shalini Batra & Balasubramanian Raman
Pages: 8747 - 8771

46) Combining hidden Markov models with probabilistic Bayes networks to conduct business forecasting and risk simulation
Author(s): Chih-Hsuan Wang & Jen-Zen Chen
Pages: 8773 - 8784

47) A feature subset selection algorithm based on equal interval division and three-way interaction information
Author(s): Xiangyuan Gu & Jichang Guo
Pages: 8785 - 8795

48) A proposal to use the inverse problem for determining parameters in a constitutive model for concrete
Author(s): W. M. Pereira Junior, R. A. Borges...J. J. C. Pituba
Pages: 8797 - 8815

49) An adaptive sequential-filtering learning system for credit risk modeling
Author(s): Salim Lahmiri, Anastasia Giakoumelou & Stelios Bekiros
Pages: 8817 - 8824

50) Correction to: An adaptive sequential-filtering learning system for credit risk modeling
Author(s): Salim Lahmiri, Anastasia Giakoumelou & Stelios Bekiros
Pages: 8825 - 8825

Soft Computing, Volume 25, issue 12, June 2021

1. Editorial: Special issue on soft computing in economic application
Author(s): Hung T. Nguyen & Vladik Kreinovich
Pages: 7693 - 7694

2. An improved QPSO algorithm and its application in fuzzy portfolio model with constraints
Author(s): Guang He & Xiao-li Lu
Pages: 7695 - 7706

3. Analysis of autocorrelation function of stochastic processes by F-transform of higher degree
Author(s): Michal Holčapek & Linh Nguyen
Pages: 7707 - 7730

4. A transparent rule-based expert system using neural network
Author(s): Abhinaba Dattachaudhuri, Saroj Kr. Biswas...Sunita Sarkar
Pages: 7731 - 7744

5. On soft computing with random fuzzy sets in econometrics and machine learning
Author(s): Roengchai Tansuchat, Uyen Pham & Chon Van Le
Pages: 7745 - 7751

6. Why linear expressions in discounting and in empathy: a symmetry-based explanation
Author(s): Supanika Leurcharusmee, Laxman Bokati & Olga Kosheleva
Pages: 7753 - 7759

7. Theoretical justifications for the empirically successful VIKOR approach to multi-criteria decision making
Author(s): Muhammad Jabir Khan, Poom Kumam & Wiyada Kumam
Pages: 7761 - 7767

8. Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent
Author(s): Isidro Lloret, José A. Troyano...Juan-José González-de-la-Rosa
Pages: 7769 - 7784

9. Deep customer segmentation with applications to a Vietnamese supermarkets’ data
Author(s): Son P. Nguyen
Pages: 7785 - 7793

10. Estimating the location parameter under skew normal settings: is violating the independence assumption good or bad?
Author(s): Cong Wang, Tonghui Wang...Khanittha Talordphop
Pages: 7795 - 7802

11. Inflation expectations quantification with fuzzy control system
Author(s): Aleksandra Rutkowska & Magdalena Szyszko
Pages: 7803 - 7812

12. A fuzzy method for evaluating similar behavior between assets
Author(s): Soheyla Mirshahi & Vilém Novák
Pages: 7813 - 7823

13. Sparse estimations in kink regression model
Author(s): Woraphon Yamaka
Pages: 7825 - 7838

14. A convex combination approach for Markov switching CAPM of interval data
Author(s): Woraphon Yamaka & Rungrapee Phadkantha
Pages: 7839 - 7851

15. Linkage structure of China’s housing market and its risk-defusing capability
Author(s): Yehui Wang, Jianxu Liu...Songsak Sriboonchitta
Pages: 7853 - 7866

16. On regularization of generalized maximum entropy for linear models
Author(s): Paravee Maneejuk
Pages: 7867 - 7875

17. Multi-agent reinforcement learning approach for hedging portfolio problem
Author(s): Uyen PhamQuoc Luu & Hien Tran
Pages: 7877 - 7885

18. Forecasting foreign exchange markets: further evidence using machine learning models
Author(s): Paravee Maneejuk & Wilawan Srichaikul
Pages: 7887 - 7898

19. Fuzzy equilibrium via best proximity pairs in abstract economies
Author(s): Premyuda Dechboon, Poom Kumam...Sompong Dhompongsa
Pages: 7899 - 7905

20. Machine learning in recycling business: an investigation of its practicality, benefits and future trends
Author(s): Du Ni, Zhi Xiao & Ming K. Lim
Pages: 7907 - 7927

21. Generating negations of probability distributions
Author(s): Ildar Batyrshin, Luis Alfonso Villa-Vargas...Nailya Kubysheva
Pages: 7929 - 7935

22. Application of an extended VES production function model based on improved PSO algorithm
Author(s): Maolin Cheng & Bin Liu
Pages: 7937 - 7945

23. Impacts of public medical insurance reforms on households: An application of fuzzy cognitive map for scenario evaluation
Author(s): Yeonggyu Yun & Hye-Young Jung
Pages: 7947 - 7956

24. Detection of price bubbles in Istanbul housing market using LSTM autoencoders: a district-based approach
Author(s): Ebubekir Ayan & Süleyman Eken
Pages: 7957 - 7973

25. Estimating a probability distribution corresponding to the negation of a property
Author(s): Uyen Pham, Ildar Batyrshin...Olga Kosheleva
Pages: 7975 - 7983

26. When to stop testing software: economic approach
Author(s): Nguyen Ngoc Thach, Francisco Zapata & Olga Kosheleva
Pages: 7985 - 7989

27. How effective are we: towards a more convincing Stochastic Frontier analysis
Author(s): Nguyen Ngoc Thach, Laura Berrout & Olga Kosheleva
Pages: 7991 - 7996

28. Even in simple economic systems, equilibrium can be non-unique: an example
Author(s): Nancy Solis García, José Guadalupe Flores Muñiz...Olga Kosheleva
Pages: 7997 - 8001

29. Impact of super heavy load vehicles on transportation infrastructure: economic aspects
Author(s): Nguyen Ngoc Thach, Ali Morovatdar...Olga Kosheleva
Pages: 8003 - 8006

Complex & Intelligent Systems, Volume 7, issue 3, June 2021

Special Issue: Knowledge fusion intelligent optimization for complex systems

1. Guest Editorial on “Knowledge fusion intelligent optimization for complex systems”
Author(s): Ling Wang & Feng Wang
Pages: 1123 - 1124

2. An estimation of distribution algorithm with branch-and-bound based knowledge for robotic assembly line balancing
Author(s): Bin-qi Sun & Ling Wang
Pages: 125 - 1138

3. Artificial bee colony algorithm based on knowledge fusion
Author(s): Hui Wang, Wenjun Wang...Minyang Xu
Pages: 1139 - 1152

4. Multi-objective microservice deployment optimization via a knowledge-driven evolutionary algorithm
Author(s): Wubin Ma Rui Wang...Yahui Wu
Pages: 1153 - 1171

5. An improved simulated annealing algorithm based on residual network for permutation flow shop scheduling
Author(s): Yang Li, Cuiyu Wang...Xinyu Li
Pages: 1173 - 1183

6. Genetic programming with separability detection for symbolic regression
Author(s): Wei-Li Liu, Jiaquan Yang...Shibin Wang
Pages: 1185 - 1194

7. FMCGP: frameshift mutation cartesian genetic programming
Author(s): Wei Fang & Mindan Gu
Pages: 1195 - 1206

8. Solving two-stage stochastic route-planning problem in milliseconds via end-to-end deep learning
Author(s): Jie Zheng, Ling Wang...Jize Pan
Pages: 1207 - 1222

9. Knowledge-guided multiobjective particle swarm optimization with fusion learning strategies
Author(s): Wei Li, Xiang Meng...Soroosh Mahmoodi
Pages: 1223 - 1239

10. Explainable recommendation based on knowledge graph and multi-objective optimization
Author(s): Lijie Xie, Zhaoming Hu...Jinjun Chen
Pages: 1241 - 1252

11. Smart healthcare solutions using the internet of medical things for hand gesture recognition system
Author(s): Nourelhoda M. Mahmoud, Hassan Fouad & Ahmed M. Soliman
Pages: 1253 - 1264

12. A two-level computer vision-based information processing method for improving the performance of human–machine interaction-aided applications
Author(s): Osama Alfarraj & Amr Tolba
Pages: 1265 - 1275

13. A novel hand-crafted with deep learning features based fusion model for COVID-19 diagnosis and classification using chest X-ray images
Author(s): K. Shankar & Eswaran Perumal
Pages: 1277 - 1293

14. Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling
Author(s): Yu-Dong Zhang, Suresh Chandra Satapathy...Shui-Hua Wang
Pages: 1295 - 1310

15. Industry 4.0, a revolution that requires technology and national strategies
Author(s): Fengwei Yang & Sai Gu
Pages: 1311 - 1325

16. A comprehensive taxonomy of security and privacy issues in RFID
Author(s): Atul KumarAnkit Kumar JainMohit Dua
Pages: 1327 - 1347

17. A solution algorithm for integrated production-inventory-routing of perishable goods with transshipment and uncertain demand
Author(s): Peide Liu, Ayad Hendalianpour...Mohamad Sadegh Sangari
Pages: 1349 - 1365

18. Attention neural collaboration filtering based on GRU for recommender systems
Author(s): Hongbin Xia, Yang Luo & Yuan Liu
Pages: 1367 - 1379

19. Period-doubling bifurcation analysis and chaos control for load torque using FLC
Author(s): Eman Moustafa, Abdel-Azem Sobaih...Amged Sayed A. Mahmoud
Pages: 1381 - 1389

20. A bi-stage surrogate-assisted hybrid algorithm for expensive optimization problems
Author(s): Zhihai Ren, Chaoli Sun...Shufen Qin
Pages: 1391 - 1405

21. Multi-stage timetable rescheduling for high-speed railways: a dynamic programming approach with adaptive state generation
Author(s): Guoqi Feng, Peng Xu...Qi Zhang
Pages: 1407 - 1428

22. Improved bag-of-features using grey relational analysis for classification of histology images
Author(s): Raju Pal, Mukesh Saraswat & Himanshu Mittal
Pages: 1429 - 1443

23. The electric vehicle routing problem with partial recharge and vehicle recycling
Author(s): Yuzhen Zhou, Jincai Huang...Kuihua Huang
Pages: 1445 - 1458

24. Hexagonal fuzzy approximation of fuzzy numbers and its applications in MCDM
Author(s): V. Lakshmana Gomathi Nayagam & Jagadeeswari Murugan
Pages: 1459 - 1487

25. Hybrid structures applied to ideals in near-rings
Author(s): B. Elavarasan, G. Muhiuddin...Y. B. Jun
Pages: 1489 - 1498

26. Two-stage multi-tasking transform framework for large-scale many-objective optimization problems
Author(s): Lu Chen, Handing Wang & Wenping Ma
Pages: 1499 - 1513

27. Strengthening the PSO algorithm with a new technique inspired by the golf game and solving the complex engineering problem
Author(s): Serkan Dereli & Raşit Köker
Pages: 1515 - 1526

28. Modified artificial bee colony algorithm for solving mixed interval-valued fuzzy shortest path problem
Author(s): Ali Ebrahimnejad, Mohammad Enayattabr...Harish Garg
Pages: 1527 - 1545

29. A holistic FMEA approach by fuzzy-based Bayesian network and best–worst method
Author(s): Melih Yucesan, Muhammet Gul & Erkan Celik
Pages: 1547 - 1564

30. Cohort intelligence with self-adaptive penalty function approach hybridized with colliding bodies optimization algorithm for discrete and mixed variable constrained problems
Author(s): Ishaan R. Kale & Anand J. Kulkarni
Pages: 1565 - 1596

31. Representation and application of Fuzzy soft sets in type-2 environment
Author(s): Biplab Paik & Shyamal Kumar Mondal
Pages: 1597 - 1617

32. SRPM–CNN: a combined model based on slide relative position matrix and CNN for time series classification
Author(s): Taoying Li, Yuqi Zhang & Ting Wang
Pages: 1619 - 1631

33. Multi-constrained cooperative path planning of multiple drones for persistent surveillance in urban environments
Author(s): Yu Wu, Shaobo Wu & Xinting Hu
Pages: 1633 - 1647

34. Stance detection using improved whale optimization algorithm
Author(s): Avinash Chandra PandeyVinay Anand Tikkiwal
Pages: 1649 - 1672

35. Multiple attribute group decision-making based on cubic linguistic Pythagorean fuzzy sets and power Hamy mean
Author(s): Wuhuan Xu, Xiaopu Shang & Jun Wang
Pages: 1673 - 1693

36. Interval type-2 fuzzy aggregation operator in decision making and its application
Author(s): M. Lathamaheswari, D. Nagarajan...Said Broumi
Pages: 1695 - 1708

Evolving Systems, Volume 12, issue 2, June 2021

1. Loss of target information in full pixel and subpixel target detection in hyperspectral data with and without dimensionality reduction

Author(s): Amrita Bhandari & K. C. Tiwari

Pages: 239 - 254

2. Parameter identification of nonlinear system using an improved Lozi map based chaotic optimization algorithm (ILCOA)
Author(s): S. Mohammadreza Ebrahimi, Milad Malekzadeh...S. Hassan HosseinNia
Pages: 255 - 272

3. Classification of breast mass in mammography using anisotropic diffusion filter by selecting and aggregating morphological and textural features
Author(s): Youcef Gherghout, Yamina Tlili & Labiba Souici
Pages: 273 - 302

4. Self-organized direction aware for regularized fuzzy neural networks
Author(s): Paulo Vitor de Campos Souza, Cristiano,  Fraga Guimaraes Nunes...Vincius Jonathan Silva Arajuo
Pages: 303 - 317

5. An efficient method for classifying motor imagery using CPSO-trained ANFIS prediction
Author(s): M. R. Mosavi, A. Ayatollahi & S. Afrakhteh
Pages: 319 - 336

6. A new emigrant utilization strategy for parallel artificial bee colony algorithm
Author(s): Selcuk Aslan
Pages: 337 - 357

7. A comparative study of cellular automata-based digital image scrambling techniques
Author(s): Zubair Jeelani & Fasel Qadir
Pages: 359 - 375

8. Evaluation of a dynamic classification method for multimodal ambiguities based on Hidden Markov Models
Author(s): Patrizia Grifoni, Maria Chiara Caschera & Fernando Ferri
Pages: 377 - 395

9. Canny edge detector improvement using an intelligent ants routing
Author(s): Karima Benhamza & Hamid Seridi
Pages: 397 - 406

10. Multitask learning applied to evolving fuzzy-rule-based predictors
Author(s): Amanda O. C. Ayres & Fernando J. Von Zuben
Pages: 407 - 422

11. Partitioning of a manufacturing system into machine cells—a practical application
Author(s): Yusuf Tansel İç, Bekir Volkan Ağca & Mustafa Yurdakul
Pages: 423 - 438

12. Restoration of artwork using deep neural networks
Author(s): Varun Gupta, Nitigya Sambyal,...Praveen Kumar
Pages: 439 - 446

13. Edge detection based on type-1 fuzzy logic and guided smoothening
Author(s): Sahil Raheja & Akshi Kumar
Pages: 447 - 462

14. Oppositional Crow Search Algorithm with mutation operator for global optimization and application in designing FOPID controller
Author(s): Santosh Kumar Majhi, Madhusmita Sahoo & Rosy Pradhan
Pages: 463 - 488

15. Efficient hybrid algorithms for density based subspace clustering to deal with density divergence for improved quality and conciseness
Author(s): B. Jaya Lakshmi, K. B. Madhuri & M. Shashi
Pages: 489 - 501

16. A novel method for digital image copy-move forgery detection and localization using evolving cellular automata and local binary patterns
Author(s): Gulnawaz Gani & Fasel Qadir
Pages: 503 - 517

17. Automatic pectoral muscle removal in mammograms
Author(s): Samuel Rahimeto, Taye Girma Debelee...Friedhelm Schwenker
Pages: 519 - 526

18. Comparison of two methods of removing EOG artifacts for use in a motor imagery-based brain computer interface
Author(s): M. Mohammadi & M. R. Mosavi
Pages: 527 - 540

19. A new flexible pricing mechanism considering price–quality relation for cloud resource allocation
Author(s): Sepideh Adabi, Fatemeh Alayin & Arash Sharifi
Pages: 541 - 565

20. Chest disease radiography in twofold: using convolutional neural networks and transfer learning
Author(s): Prakash Choudhary & Abhishek Hazra
Pages: 567 - 579

So little time....

Douglas Adams once said "I love deadlines. I love the whooshing sound they make as they go by".

I used to suck at time-management. I have a real grasshopper mind, that jumps from one topic to another at such a rate that few people can keep up with me and they are flummoxed by the connections that I make between topics. That said, I have come up with a few tricks that allow me to manage my time so that I actually get things done. I still sometimes miss deadlines, but that's more due to workload than lack of time management.

1) Keeping a To-Do list. The most effective To-Do list manager I have ever had is a text file on my desktop called ToDo.txt. Each task is one line. When I complete a task, I delete it from ToDo.txt. That's it. No due-dates, no priorities, no having completed tasks hanging around with when it was completed. I put everything I need to do in this list. Even small tasks, like sending an email to someone, get added to the list if I can't do it straight away.

2) Doing one thing at a time. This is hard to do these days, as distractions are just a mouse click away. But I've lost so much time by starting one task, then another task, and not getting either of them done. So I try to get one specific task done, then start on the next. If something pops up during my pursuit of one task, then I put it on my To-Do list.

3) Get one task done first thing. I try to complete one small task when I arrive at work. This gets me into the mindset of working, and it gives me a psychological boost - no  matter what distractions come my way the rest of the day, at least I've gotten that one thing done. What usually happens, though, is I do that one small thing, then another, then another, and before I know it, I've gotten a lot of things done. This ties in with rule #2, doing one thing at a time.

4) Having more than one project to do. No matter what project I'm working on, there will always come a point when I can't stand to work on it any more. Rather than just sit fuming at my lack of productivity, I switch to another task and work on that instead. I might not be moving forward on the first project, but I'm not being completely unproductive either. This is especially useful when working on papers, as I can never finish writing a paper in one sitting.

5) Getting enough rest. It is very tempting to think that working late, sacrificing sleep for work, means you get a lot done. After all, you can spend eight hours sleeping, and not working, or you can spend four hours sleeping and do an extra four hours work, right? Except those four hours extra late at night are nowhere near as productive as spending one hour the next day doing the same work with a clear mind and energetic body. Lack of sleep is terrible for the human body, it slows your mind down and just ruins your ability to handle complex intellectual tasks. You're much more likely to get sick more often, and how much does that impact your productivity? It's much better to sleep eight hours, then spend eight hours the next day at work, and maybe an hour or so working in the evening. You'll get a lot more done. Sometimes you will need to work late to hit a pressing deadline, but those incidents should be rare.

It can be hard to follow these principles. Life has a habit of getting in the way. But when I do follow them, I get a lot more done and I feel a lot better about myself, because I am being productive.

Bias in AI

When my daughter was a toddler, we bought her a batch of Looney Tunes DVDs. She loved watching Daffy Duck, Porky Pig, and Bugs Bunny. On her third birthday, we gave her a Road Runner DVD. She had her birthday at her grandparents' house, and so that's where she first watched Road Runner, after lunch.

The next time we visited, a couple of weeks later, straight after lunch she got up and walked towards the living room, saying she was going to watch "meep meep". I had to explain to her that that DVD was at home, it didn't stay at Grandma and Grandad's house.

Why did my daughter do that? It's because she had only ever seen Road Runner at Grandma and Grandad's house. In other words, she only had one example of where she could see Road Runner, so that was where she thought she would see it.

A couple of years later I was attending the viva of a PhD student, whose thesis I had examined. The thesis topic was predicting a medical condition from gene expression data. Gene expression was assigned certain values according to how much the gene was active. During the viva, the student made the comment that "expression was measured for those patients who had the condition, and was set to zero for those who did not". I was gobsmacked, as this meant that there were really no gene expression values at all for patients who did not have the condition.

A few years after that I was examining a PhD thesis that used neural networks for earthquake prediction. The central idea was that data from seismographs could be used to predict if an earthquake greater than a certain threshold would occur in the next few days. The data was taken from Canterbury in New Zealand, and started from September 2010, and went for just over a year.

The problem with this of course is that on the 4th of September 2010, the Darfield Earthquake struck Canterbury. The aftershocks continued for more than two years, that is, the length of the data set.

These are all examples of making predictions based on biased data. My daughter had biased data because she had only ever seen Road Runner at her grandparents' house. 

The first student had biased data because there was really only data for one class of patient. They got good results, but that was because they trained a model on biased data then tested it on biased data. Their model would have failed utterly if it had been tested on a different data set.

The second student had biased data because the entire data set was constructed over a time when it was known that there were going to be earthquakes. So again, their model worked well when trained and tested on the data set they had, but it would have failed utterly if tested on a different data set. Hilariously, when I challenged the student on this in their viva, they replied "It's the right kind of bias"! A much better data set would have been one that extended over several years before and after the Darfield Earthquake, and had been taken from different regions. 

While biased models in academic settings might not cause a lot of harm - other than to examiners' calm - such models are being used in production systems. This seems to be quite a widespread problem as well. It can even have deadly consequences.

Biased data leads to biased models. This is such a simple concept, yet so many people who build AI models don't seem to grasp it. Identifying biased data can be tricky, as it requires a solid understanding of what the data represents, how it was gathered, and what it is to be used for. 

More insidiously, models built with biased data can show very good results. They will train well, and they will test well, as long as the test data is from the original, biased, data set. That is, as long as the test data is as biased as the training data, the model will show good test results.

This makes the sourcing and use of an independent testing data set essential. And that is probably the number one thing anyone to do to do avoid bias in AI. It's not foolproof - there might still be systemic biases in the process that generates the data - but it is an essential first step.

Weekly Review 25 July 2020

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

1. Why you shouldn't use the term "quantum neural network": https://www.datasciencecentral.com/profiles/blogs/quantum-neural-net-an-oxymoron
2. The annual IEEE list of top ten programming languages is out: https://spectrum.ieee.org/at-work/tech-careers/top-programming-language-2020
3. Moving Reinforcement Learning off of high-end servers: https://spectrum.ieee.org/tech-talk/artificial-intelligence/machine-learning/powerful-ai-can-now-be-trained-on-a-single-computer
4. Overview of Recurrent Neural Networks: https://www.kdnuggets.com/2020/07/rnn-deep-learning-sequential-data.html
5. Perturbing photos to defeat facial recognition: https://www.theregister.com/2020/07/22/defeat_facial_recognition/
6. A Q&A overview of recommender systems: https://www.kdnuggets.com/2020/07/recommender-systems-nutshell.html
7. The legal problems New Zealand is facing with AI in medicine: https://www.computerworld.com/article/3567103/ai-in-healthcare-neglected-area-in-new-zealand-law.html
8. So Facebook is finally looking for racial bias in its AI: https://www.technologyreview.com/2020/07/22/1005532/facebook-says-it-will-look-for-racial-bias-in-its-algorithms/
9. Unsurprisingly, the pandemic has accelerated the adoption of technology, including chatbots: https://www.techrepublic.com/article/chatbot-use-surges-amid-pandemic-as-digital-transformation-accelerates/

IEEE Transactions on Cognitive and Developmental Systems; Volume 12, Number 2, June 2020

1. Guest Editorial Special Issue on Multidisciplinary Perspectives on Mechanisms of Language Learning
Author(s): Malte Schilling ; Katharina J. Rohlfing ; Paul Vogt ; Chen Yu ; Michael Spranger
Page(s): 134 - 138

2. An Epigenetic Approach to Semantic Categories
Author(s): Peter Gärdenfors
Page(s): 139 - 147

3. Quantifying the Role of Vocabulary Knowledge in Predicting Future Word Learning
Author(s): Nicole M. Beckage ; Michael C. Mozer ; Eliana Colunga
Page(s): 148 - 159

4. Neurocomputational Models Capture the Effect of Learned Labels on Infants’ Object and Category Representations
Author(s): Arthur Capelier-Mourguy ; Katherine E. Twomey ; Gert Westermann
Page(s): 160 - 168

5. Integrating Image-Based and Knowledge-Based Representation Learning
Author(s): Ruobing Xie ; Stefan Heinrich ; Zhiyuan Liu ; Cornelius Weber ; Yuan Yao ; Stefan Wermter ; Maosong Sun
Page(s): 169 - 178

6. Teach Your Robot Your Language! Trainable Neural Parser for Modeling Human Sentence Processing: Examples for 15 Languages
Author(s): Xavier Hinaut ; Johannes Twiefel
Page(s): 179 - 188

7. The Subject–Object Asymmetry Revisited: Experimental and Computational Approaches to the Role of Information Structure in Children’s Argument Omissions
Author(s): Eileen Graf ; Anna Theakston ; Daniel Freudenthal ; Elena Lieven
Page(s): 189 - 197

8. Social Reinforcement in Artificial Prelinguistic Development: A Study Using Intrinsically Motivated Exploration Architectures
Author(s): Juan M. Acevedo-Valle ; Verena V. Hafner ; Cecilio Angulo
Page(s): 198 - 208

9. Beyond the Self: Using Grounded Affordances to Interpret and Describe Others’ Actions
Author(s): Giovanni Saponaro ; Lorenzo Jamone ; Alexandre Bernardino ; Giampiero Salvi
Page(s): 209 - 221

10. When Object Color Is a Red Herring: Extraneous Perceptual Information Hinders Word Learning via Referent Selection
Author(s): Jessica S. Horst ; Katherine E. Twomey ; Anthony F. Morse ; Rosie Nurse ; Angelo Cangelosi
Page(s): 222 - 231

11. Adults Use Cross-Situational Statistics for Word Learning in a Conservative Way
Author(s): Suzanne Aussems ; Paul Vogt
Page(s): 232 - 242

12. Joint Attention in Hearing Parent–Deaf Child and Hearing Parent–Hearing Child Dyads
Author(s): Heather Bortfeld ; John S. Oghalai
Page(s): 243 - 249

13. Self-Supervised Vision-Based Detection of the Active Speaker as Support for Socially Aware Language Acquisition
Author(s): Kalin Stefanov ; Jonas Beskow ; Giampiero Salvi
Page(s): 250 - 259

14. Multimodal Turn-Taking: Motivations, Methodological Challenges, and Novel Approaches
Author(s): Katharina J. Rohlfing ; Giuseppe Leonardi ; Iris Nomikou ; Joanna Rączaszek-Leonardi ; Eyke Hüllermeier
Page(s): 260 - 271

15. Concrete Action Representation Model: From Neuroscience to Robotics
Author(s): John Nassour ; Tran Duy Hoa ; Payam Atoofi ; Fred Hamker
Page(s): 272 - 284

16. Applying a Psychotherapeutic Theory to the Modeling of Affective Intelligent Agents
Author(s): Yanet Sánchez ; Teresa Coma ; Antonio Aguelo ; Eva Cerezo
Page(s): 285 - 299

17. Interactions With Reconfigurable Modular Robots Enhance Spatial Reasoning Performance
Author(s): Minjing Yu ; Yong-Jin Liu ; Yulin Zhang ; Guozhen Zhao ; Chun Yu ; Yuanchun Shi
Page(s): 300 - 310

18. Facial Expression Recognition via Deep Action Units Graph Network Based on Psychological Mechanism
Author(s): Yang Liu ; Xingming Zhang ; Yubei Lin ; Haoxiang Wang
Page(s): 311 - 322

19. Regression-Based Continuous Driving Fatigue Estimation: Toward Practical Implementation
Author(s): Rohit Bose ; Hongtao Wang ; Andrei Dragomir ; Nitish V. Thakor ; Anastasios Bezerianos ; Junhua Li
Page(s): 323 - 331

20. Perceptual Modeling of Tinnitus Pitch and Loudness
Author(s): Richard Gault ; Thomas Martin McGinnity ; Sonya Coleman
Page(s): 332 - 343

21. Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity
Author(s): Jinpeng Li ; Shuang Qiu ; Changde Du ; Yixin Wang ; Huiguang He
Page(s): 344 - 353

22. Intraindividual Completion Time Modulates the Prediction Error Negativity in a Virtual 3-D Object Selection Task
Author(s): Avinash Kumar Singh ; Hsiang-Ting Chen ; Klaus Gramann ; Chin-Teng Lin
Page(s): 354 - 360

23. A Concealed Information Test System Based on Functional Brain Connectivity and Signal Entropy of Audio–Visual ERP
Author(s): Wenwen Chang ; Hong Wang ; Zhiguo Lu ; Chong Liu
Page(s): 361 - 370

Special Issue on Artificial Intelligence and Edge Computing for Trustworthy Robots and Autonomous Systems
Page(s): 371 - 372

Special Issue on Intrinsically Motivated Open-Ended Learning
Page(s): 373 - 373

Special Issue on Emerging Topics on Development and Learning
Page(s): 374 - 374

Complex & Intelligent Systems. Volume 6 Number 1, April 2020

1. Trade-off between exploration and exploitation with genetic algorithm using a novel selection operator
Author(s): Abid Hussain, Yousaf Shad Muhammad
Pages: 1-14

2. On some distance measures of complex Pythagorean fuzzy sets and their applications in pattern recognition
Author(s): Kifayat Ullah, Tahir Mahmood, Zeeshan Ali, Naeem Jan
Pages: 15-27

3. Pythagorean Dombi fuzzy graphs
Author(s): Muhammad Akram, Jawaria Mohsan Dar, Sumera Naz
Pages: 29-54

4. Accelerating evolutionary computation using a convergence point estimated by weighted moving vectors
Author(s): Jun Yu, Yuhao Li, Yan Pei, Hideyuki Takagi
Pages: 55-65

5. A new similarity measure for Pythagorean fuzzy sets
Author(s): M. Adabitabar Firozja, B. Agheli, E. Baloui Jamkhaneh
Pages: 67-74

6. Improvement of query-based text summarization using word sense disambiguation
Author(s): Nazreena Rahman, Bhogeswar Borah
Pages: 75-85

7. Towards an assessment framework of reuse: a knowledge-level analysis approach
Author(s): Ghassan Beydoun, Achim Hoffmann, Rafael Valencia Garcia…
Pages: 87-95

8. Moment capacity estimation of spirally reinforced concrete columns using ANFIS
Author(s): Hosein Naderpour, Masoomeh Mirrashid
Pages: 97-107

9. Evaluating the sustainability of a smart technology application to mobile health care: the FGM–ACO–FWA approach
Author(s): Tin-Chih Toly Chen
Pages: 109-121

10. Using compression to find interesting one-dimensional cellular automata
Author(s): Nadim Ahmed, William J. Teahan
Pages: 123-146

11. Collaborative filtering recommendation algorithm based on user correlation and evolutionary clustering
Author(s): Jianrui Chen, Chunxia Zhao, Uliji, Lifang Chen
Pages: 147-156

12. Data-driven decision support under concept drift in streamed big data
Author(s): Jie Lu, Anjin Liu, Yiliao Song, Guangquan Zhang
Pages: 157-163

13. Distributed control system architecture for balancing and stabilizing traffic in the network of multiple autonomous intersections using feedback consensus and route assignment method
Author(s): Chairit Wuthishuwong, Ansgar Traechtler
Pages: 165-187

14. A repository of real-world datasets for data-driven evolutionary multiobjective optimization
Author(s): Cheng He, Ye Tian, Handing Wang, Yaochu Jin
Pages: 189-197

15. High efficiency fault-detection and fault-tolerant control approach in Tennessee Eastman process via fuzzy-based neural network representation
Author(s): M. Adeli, A. H. Mazinan
Pages: 199-212

16. Analysis of watermarking framework for color image through a neural network-based approach
Author(s): M. F. Kazemi, M. A. Pourmina, A. H. Mazinan
Pages: 213-220

IEEE Transactions on Cognitive and Developmental Systems Vol.12, No.1, March 2020

1. A Furcated Visual Collision Avoidance System for an Autonomous Microrobot
Author(s): H. Isakhani, N. Aouf, O. Kechagias-Stamatis and J. F. Whidborne
Pages: 1-11

2. Can the Evidence for Explanatory Reasoning Be Explained Away?
Author(s): I. Douven
Pages: 12-17

3. Cooperative Manipulation for a Mobile Dual-Arm Robot Using Sequences of Dynamic Movement Primitives
Author(s): T. Zhao, M. Deng, Z. Li and Y. Hu
Pages: 18-29

4. Abnormal Event Detection From Videos Using a Two-Stream Recurrent Variational Autoencoder
Author(s): S. Yan, J. S. Smith, W. Lu and B. Zhang
Pages: 30-42

5. Robotic-Assisted Rehabilitation Trainer Improves Balance Function in Stroke Survivors
Author(s): J. Ji, T. Song, S. Guo, F. Xi and H. Wu
Pages: 43-53

6. DeepFeat: A Bottom-Up and Top-Down Saliency Model Based on Deep Features of Convolutional Neural Networks
Author(s): A. Mahdi, J. Qin and G. Crosby
Pages: 54-63

7. Selective Perception as a Mechanism to Adapt Agents to the Environment: An Evolutionary Approach
Author(s): M. Ramicic and A. Bonarini
Pages: 64-72

8. Zero-Shot Classification Based on Multitask Mixed Attribute Relations and Attribute-Specific Features
Author(s): P. Gong, X. Wang, Y. Cheng, Z. J. Wang and Q. Yu
Pages: 73-83

9. Semantic Relational Object Tracking
Author(s): A. Persson, P. Zuidberg Dos Martires, L. De Raedt and A. Loutfi
Pages: 84-97

10. Memory Mechanisms for Discriminative Visual Tracking Algorithms With Deep Neural Networks
Author(s): L. Wang, L. Zhang, J. Wang and Z. Yi
Pages: 98-108

11. Usage-Based Learning in Human Interaction With an Adaptive Virtual Assistant
Author(s): C. Delgrange, J. Dussoux and P. F. Dominey
Pages: 109-123

12. A Brain-Inspired Visual Fear Responses Model for UAV Emergent Obstacle Dodging
Author(s): F. Zhao, Q. Kong, Y. Zeng and B. Xu
Pages: 124-132

IEEE Transactions on Cognitive and Developmental Systems, Vol.11, No.4, Dec. 2019

1. Evaluation of Internal Models in Autonomous Learning
Author(s): S. C. Smith and J. M. Herrmann
Pages: 463-472

2. Anomalous Behaviors Detection in Moving Crowds Based on a Weighted Convolutional Autoencoder-Long Short-Term Memory Network
Author(s): B. Yang, J. Cao, N. Wang and X. Liu
Pages: 473-482

3. A Workload Balanced Algorithm for Task Assignment and Path Planning of Inhomogeneous Autonomous Underwater Vehicle System
Author(s): M. Chen and D. Zhu
Pages: 483-493

4. Symbol Emergence in Cognitive Developmental Systems: A Survey
Author(s): T. Taniguchi et al.
Pages: 494-516

5. Electroencephalogram Emotion Recognition Based on Empirical Mode Decomposition and Optimal Feature Selection
Author(s): Z. Liu, Q. Xie, M. Wu, W. Cao, D. Li and S. Li
Pages: 517-526

6. Brain Teleoperation Control of a Nonholonomic Mobile Robot Using Quadrupole Potential Function
Author(s): W. Yuan and Z. Li
Pages: 527-538

7. Semi-Supervised Learning Based on GAN With Mean and Variance Feature Matching
Author(s): C. Hu, X. Wu and J. Kittler
Pages: 539-547

8. Optimal Control of Eye Movements During Visual Search
Author(s): A. Vasilyev
Pages: 548-559

9. Automatic Pupillary Light Reflex Detection in Eyewear Computing
Author(s): H. K. Wong, J. Epps and S. Chen
Pages: 560-572

10. Multitask Learning for Object Localization With Deep Reinforcement Learning
Author(s): Y. Wang, L. Zhang, L. Wang and Z. Wang
Pages: 573-580

11. Project R-CASTLE: Robotic-Cognitive Adaptive System for Teaching and Learning
Author(s): D. Tozadore et al.
Pages: 581-589

Evolving Systems, Volume 11, Issue 1, March 2020

1. Optimal static and dynamic transmission network expansion planning
Author(s): Manisha D. Khardenvis, V. N. Pande
Pages: 1-14

2. Heart disease detection using hybrid of bacterial foraging and particle swarm optimization
Author(s): Padmavathi Kora, Ajith Abraham, K Meenakshi
Pages: 15-28

3. An aggregation approach to multi-criteria recommender system using genetic programming
Author(s): Shweta Gupta, Vibhor Kant
Pages: 29-44

4. MFOFLANN: moth flame optimized functional link artificial neural network for prediction of earthquake magnitude
Author(s): Santosh Kumar Majhi, Sk Sajeed Hossain, Trilok Padhi
Pages: 45-63

5. A hybridization of grey wolf optimizer and differential evolution for solving nonlinear systems
Author(s): Mohamed A. Tawhid, Abdelmonem M. Ibrahim
Pages: 65-87

6. Clustering subspace generalization to obtain faster reinforcement learning
Author(s): Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmadabadi
Pages: 89-103

7. Artificial bee colony optimization (ABC) for grape leaves disease detection
Author(s): A. Diana Andrushia, A. Trephena Patricia
Pages: 105-117

8. A novel under sampling strategy for efficient software defect analysis of skewed distributed data
Author(s): K. Nitalaksheswara Rao, Ch. Satyananda Reddy
Pages: 119-131

9. Integrating multiple methods to enhance medical data classification
Author(s): Balasaheb Tarle, Sanjay Chintakindi, Sudarson Jena
Pages: 133-142

10. Survey of deep learning in breast cancer image analysis
Author(s): Taye Girma Debelee, Friedhelm Schwenker, Achim Ibenthal
Pages: 143-163

IEEE Transactions on Neural Networks and Learning Systems, Volume 31, Issue 3, March 2020.

1. Heterogeneous Multilayer Generalized Operational Perceptron
Author(s): Dat Thanh Tran; Serkan Kiranyaz; Moncef Gabbouj; Alexandros Iosifidis
Pages: 710 - 724

2. LABIN: Balanced Min Cut for Large-Scale Data
Author(s): Xiaojun Chen; Renjie Chen; Qingyao Wu; Yixiang Fang; Feiping Nie; Joshua Zhexue Huang
Pages: 725 - 736

3. Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation
Author(s): Jiayu Han; Lei Zheng; Yuanbo Xu; Bangzuo Zhang; Fuzhen Zhuang; Philip S. Yu; Wanli Zuo
Pages: 737 - 748

4. Exactly Robust Kernel Principal Component Analysis
Author(s): Jicong Fan; Tommy W. S. Chow
Pages: 749 - 761

5. Distributed Dissipative State Estimation for Markov Jump Genetic Regulatory Networks Subject to Round-Robin Scheduling
Author(s): Hao Shen; Shicheng Huo; Huaicheng Yan; Ju H. Park; Victor Sreeram
Pages: 762 - 771

6. Compact and Computationally Efficient Representation of Deep Neural Networks
Author(s): Simon Wiedemann; Klaus-Robert Müller; Wojciech Samek
Pages: 772 - 785

7. Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition
Author(s): Zhengming Li; Zheng Zhang; Jie Qin; Zhao Zhang; Ling Shao
Pages: 786 - 800

8. Stability-Based Generalization Analysis of Distributed Learning Algorithms for Big Data
Author(s): Xinxing Wu; Junping Zhang; Fei-Yue Wang
Pages: 801 - 812

9. Recurrent Neural Networks With External Addressable Long-Term and Working Memory for Learning Long-Term Dependences
Author(s): Zhibin Quan; Weili Zeng; Xuelian Li; Yandong Liu; Yunxiu Yu; Wankou Yang
Pages: 813 - 826

10. Log-Sum-Exp Neural Networks and Posynomial Models for Convex and Log-Log-Convex Data
Author(s): Giuseppe C. Calafiore; Stephane Gaubert; Corrado Possieri
Pages: 827 - 838

11. A Robust Visual System for Small Target Motion Detection Against Cluttered Moving Backgrounds
Author(s): Hongxin Wang; Jigen Peng; Xuqiang Zheng; Shigang Yue
Pages: 839 - 853

12. Trajectory Tracking on Uncertain Complex Networks via NN-Based Inverse Optimal Pinning Control
Author(s): Carlos J. Vega; Oscar J. Suarez; Edgar N. Sanchez; Guanrong Chen; Santiago Elvira-Ceja; David I. Rodriguez
Pages: 854 - 864

13. Nonsynaptic Error Backpropagation in Long-Term Cognitive Networks
Author(s): Gonzalo Nápoles; Frank Vanhoenshoven; Rafael Falcon; Koen Vanhoof
Pages: 865 - 875

14. Bipartite Differential Neural Network for Unsupervised Image Change Detection
Author(s): Jia Liu; Maoguo Gong; A. K. Qin; Kay Chen Tan
Pages: 876 - 890

15. A Switched Operation Approach to Sampled-Data Control Stabilization of Fuzzy Memristive Neural Networks With Time-Varying Delay
Author(s): Xin Wang; Ju H. Park; Shouming Zhong; Huilan Yang
Pages: 891 - 900

16. Neural Network-Based Adaptive Antiswing Control of an Underactuated Ship-Mounted Crane With Roll Motions and Input Dead Zones
Author(s): Tong Yang; Ning Sun; He Chen; Yongchun Fang
Pages: 901 - 914

17. Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers
Author(s): Chun-Na Li; Yuan-Hai Shao; Wotao Yin; Ming-Zeng Liu
Pages: 915 - 926

18. From Whole to Part: Reference-Based Representation for Clustering Categorical Data
Author(s): Qibin Zheng; Xingchun Diao; Jianjun Cao; Yi Liu; Hongmei Li; Junnan Yao; Chen Chang; Guojun Lv
Pages: 927 - 937

19. Cognitive Action Laws: The Case of Visual Features
Author(s): Alessandro Betti; Marco Gori; Stefano Melacci
Pages: 938 - 949

20. Convolutional Neural Networks as Asymmetric Volterra Models Based on Generalized Orthonormal Basis Functions
Author(s): Jeremias B. Machado; Sidney N. Givigi
Pages: 950 - 959

21. Synchronization of the Networked System With Continuous and Impulsive Hybrid Communications
Author(s): Wen Sun; Junxia Guan; Jinhu Lü; Zhigang Zheng; Xinghuo Yu; Shihua Chen
Pages: 960 - 971

22. Adaptive Neural Output-Feedback Decentralized Control for Large-Scale Nonlinear Systems With Stochastic Disturbances
Author(s): Huanqing Wang; Peter Xiaoping Liu; Jialei Bao; Xue-Jun Xie; Shuai Li
Pages: 972 - 983

23. Heterogeneous Domain Adaptation via Nonlinear Matrix Factorization
Author(s): Haoliang Li; Sinno Jialin Pan; Shiqi Wang; Alex C. Kot
Pages: 984 - 996

24. Global Stabilization of Fractional-Order Memristor-Based Neural Networks With Time Delay
Author(s): Jia Jia; Xia Huang; Yuxia Li; Jinde Cao; Ahmed Alsaedi
Pages: 997 - 1009

25. Neural Networks-Based Distributed Adaptive Control of Nonlinear Multiagent Systems
Author(s): Qikun Shen; Peng Shi; Junwu Zhu; Shuoyu Wang; Yan Shi
Pages: 1010 - 1021

26. Constrained Quaternion-Variable Convex Optimization: A Quaternion-Valued Recurrent Neural Network Approach
Author(s): Yang Liu; Yanling Zheng; Jianquan Lu; Jinde Cao; Leszek Rutkowski
Pages: 1022 - 1035

27. Consensus Tracking Control of Switched Stochastic Nonlinear Multiagent Systems via Event-Triggered Strategy
Author(s): Wencheng Zou; Peng Shi; Zhengrong Xiang; Yan Shi
Pages: 1036 - 1045

28. The Robustness of Outputs With Respect to Disturbances for Boolean Control Networks
Author(s): Bowen Li; Yang Liu; Jungang Lou; Jianquan Lu; Jinde Cao
Pages: 1046 - 1051

29. Composite Learning Enhanced Robot Impedance Control
Author(s): Tairen Sun; Liang Peng; Long Cheng; Zeng-Guang Hou; Yongping Pan
Pages: 1052 - 1059

30. Robust Event-Triggered Control Invariance of Probabilistic Boolean Control Networks
Author(s): Lin Lin; Jinde Cao; Leszek Rutkowski
Pages: 1060 - 1065

31. Comments on “Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach”
Author(s): Abdul Wahab; Shujaat Khan
Pages: 1066 - 1068

10th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics 2020

The paper submission deadline for the 10th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics 2020 is 15 March 2020. This conference will be held in Valparaíso, Chile, 7-10 September, 2020.

2020 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology

The deadline for submitting papers to the 2020 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB2020) is 1 May 2020. This conference will be held in Viña del Mar, Chile, October 27-29.

7th IEEE International Conference on Data Science and Advanced Aanlytics 2020

The paper submission deadline for the 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2020) is 24 May 2020. This conference will be held in Sydney, Australia, 6-9 October, 2020.

2020 IEEE Symposium Series on Computational Intelligence

The paper submission deadline for the 2020 IEEE Symposium Series on Computational Intelligence is 7 August 2020. This conference will be held in Canberra, Australia, 1-4 December, 2020.