2017 AI Artificial Intelligence by Stephen Cox

Abstract

AI Artificial Intelligence 2017 by Stephen Cox, Math and Science Reading List 2017 Volume 1 including History of High Performance Computing, Reviews and surveys, Abstract argumentation, Active queue management, AI Applications in ecological and environmental modeling, Ambient information system designs, Argumentation models, Artificial Neural Network, Association rule mining and improved A Priori algorithms, Automatic selection and hyper-parameter values, Bayesian networks, Best-first heuristic search, Cellular learning automata, Circle detection, Classification of fMri and brain activity, Classifier ensemble, Co-location pattern mining, Concept drift, Constrained combination, Constructing concept lattices, Customer churn prediction, Data reduction for distributed learning, Decision tree, Deep back-propagation learning, Deep belief networks, Diagonally dominant linear system, Discretization technique for taxonomy in supervised learning, Distributed intelligence in automation in industry, Diversity and generalization, Document classification, Efficient communications, Ensemble selection, Extreme learning machine based on matrix decomposition, Fast algorithms, Fast fuzzy partitioning, Feature extraction and classification, Feed forward neural network, Firefly algorithm, Fixed-point for graph matching, Formal concept analysis, Functional link neural network, Fuzzy cognitive maps, Gaussian copula models, Granularity clustering, Graph convolutional networks, Graph edit distance, Graph regularization, Group-lasso learning, Hierarchical fuzzy systems, Hybrid metaheuristics, Image classification, Instance selection methods, Intelligent driving style analysis systems, Intrusion detection, Intuitionistic fuzzy preference relations, Item lifespans, Job shop scheduling by AI solution strategies, Knowledge representation, Local feature-based pattern recognition, Machine learning applications to cloud computing, Mahalanobis distance learning algorithms, Manifold learning, Metalearning, Mining utility based temporal association rules, Mixture of experts, Modeling, Multi-agent coordination and decision making, Multicriteria decision, Multi-label and multi-task structure learning, Novel algorithms, Object classification, Ontology learning from text, Outlier removal, Packet classification, Partial policy recycling, Partial weighted utility measure, Permutation pattern matching, Phenomenon models, Prediction of electricity demand, Premise selection, Principal component analysis, Protein structure prediction, Randomized matrices and data, Rare pattern mining, Regularized kernel spectral clustering, Reinforcement learning, Research trends, Runtime analysis for satisfiability problems, Self-constructing radial basis function, Semi-supervised learning, Sensorless control algorithm, Sentiment classification, Sequential pattern mining, Spam filtering, Sparse values and learning, Stability analysis of consensus algorithm, Structure learning, Supervised machine learning algorithms, Swarm intelligence, SVM support vector machine, Teaching and learning through practice of optimization problems, Text categorization, Training categorical radial basis function neural network, Training support vector regression, Two-phase association rules mining, Wavelet kernel fuzzy neural network.

Full text

2017 AI
1
Math and Science Reading List 2017 by Stephen Cox
Volume 1 Including History of High Performance Computing
2017 AI Artificial Intelligence
A brief survey on artificial intelligence methods in synchronous motor control, CL Hoo, SM Haris - Applied
Mechanics and Materials, 2011 - Trans Tech Publ
A brief survey on concept drift, V Akila, G Zayaraz - Intelligent Computing, Communication and Devices,
2015 - Springer
A brief survey on deep belief networks and introducing a new object oriented MATLAB toolbox (DeeBNet
V2. 1), MA Keyvanrad, MM Homayounpour - arXiv preprint arXiv:1408.3264, 2014 - arxiv.org
A brief survey on deep belief networks and introducing a new object oriented toolbox (DeeBNet V3.0), MA
Keyvanrad, MM Homayounpour - 2014 - pdfs.semanticscholar.org
A Brief Survey on Fuzzy Cognitive Maps Research, Yajie Wang , Weiyuan Zhang, chapter in Advanced
Intelligent Computing Theories and Applications 2015 Springer
A brief survey on hybrid metaheuristics, C Blum, J Puchinger, GR Raidl… - Proceedings of …, 2010 -
aragorn.ads.tuwien.ac.at
A Brief Survey on Semi-supervised Learning with Graph Regularization, H You - cs.ucsb.edu
A class of Active Queue Management algorithm based on BP neural network, W Junxin, L Jianchang, G Zhe -
2009 Chinese Control and …, 2009 - ieeexplore.ieee.org
A class of smooth semi-supervised SVM by difference of convex functions programming and algorithm, L
Yang, L Wang - Knowledge-Based Systems, 2013 - Elsevier
A Classifier Ensemble for Concept Drift Using a Constrained Penalized Regression Combiner, LY Wang, C
Park, H Choi, K Yeon - Procedia Computer Science, 2016 - Elsevier
A combined approach for two-agent scheduling with sum-of-processing-times-based learning effect, WH
Wu, Y Yin, TCE Cheng, WC Lin, JC Chen… - Journal of the Operational … - Springer
A Combined Neural Network and Decision Tree Approach for Text Categorization, N Remeikis, I Skucas, V
Melninkaite - Information Systems Development, 2005 - Springer
A comparative analysis of multi-criteria decision-making methods, B Ceballos, MT Lamata, DA Pelta -
Progress in Artificial Intelligence, 2016 - Springer
A comparative runtime analysis of heuristic algorithms for satisfiability problems, Yuren Zhou, Jun He, Qing
Nie in Artificial Intelligence 2009
A comparative study of the performance of local feature-based pattern recognition algorithms, N
Roshanbin, J Miller - Pattern Analysis and Applications - Springer
A comparative study on phenomenon and deep belief network models for hot deformation behavior of an
Al–Zn–Mg–Cu alloy, YC Lin, YJ Liang, MS Chen, XM Chen - Applied Physics A, 2017 - Springer
A comparative study on swarm intelligence for structure learning of Bayesian networks, J Ji, C Yang, J Liu, J
Liu, B Yin - Soft Computing, 2016 - Springer
A Comparative Study on the Performance of SVM and an Artificial Neural Network in Intrusion Detection, S
Jo, H Sung, BH Ahn - Journal of the Korea Academia-Industrial …, 2016 - koreascience.or.kr

2017 AI
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A comparison of machine learning methods for classification using simulation with multiple real data
examples from mental health studies, M Khondoker, R Dobson, C Skirrow… - … methods in medical …, 2016
- journals.sagepub.com
A comparison of machine learning techniques for customer churn prediction, T Vafeiadis, KI Diamantaras,
G Sarigiannidis… - … Modelling Practice and …, 2015 - Elsevier
A Comprehensive Survey of Non-Apriori Parallel Association Rule Mining Algorithms, P Dorle, R Gangurde -
2016 - ijlret.com
A comprehensive survey on formal concept analysis, its research trends and applications, PK Singh, C
Aswani Kumar, A Gani - International Journal of Applied …, 2016 - degruyter.com
A comprehensive survey on functional link neural networks and an adaptive PSO–BP learning for CFLNN,
Satchidananda Dehuri, Sung-Bae Cho in Neural Computing and Applications 2010
A fast algorithm for manifold learning by posing it as a symmetric diagonally dominant linear system, P
Vepakomma, A Elgammal - Applied and Computational Harmonic …, 2016 - Elsevier
A fast algorithm for order-preserving pattern matching, S Cho, JC Na, K Park, JS Sim - Information
Processing Letters, 2015 - Elsevier
A fast algorithm for permutation pattern matching based on alternating runs, ML Bruner, M Lackner -
Algorithmica, 2016 - Springer
A fast algorithm for training support vector regression via smoothed primal function minimization, S Zheng
- International Journal of Machine Learning and …, 2015 - Springer
A Fast and Efficient Method for Training Categorical Radial Basis Function Networks, A Alexandridis, E
Chondrodima… - IEEE transactions on …, 2016 - ncbi.nlm.nih.gov
A fast and precise indoor localization algorithm based on an online sequential extreme learning machine, H
Zou, X Lu, H Jiang, L Xie - Sensors, 2015 - mdpi.com
A fast and robust circle detection method using isosceles triangles sampling, H Zhang, K Wiklund, M
Andersson - Pattern Recognition, 2016 - Elsevier
A fast incremental algorithm for constructing concept lattices, L Zou, Z Zhang, J Long - Expert Systems with
Applications, 2015 - Elsevier
A fast incremental algorithm for deleting objects from a concept lattice, Ligeng Zou, Zuping Zhang, Jun
Long, Hao Zhang in Knowledge-Based Systems 2015
A fast incremental extreme learning machine algorithm for data streams classification, S Xu, J Wang -
Expert Systems with Applications, 2016 - Elsevier
A fast learning algorithm for deep belief nets, GE Hinton, S Osindero, YW Teh - Neural computation, 2006 -
MIT Press
A fast learning method for feedforward neural networks, S Wang, FL Chung, J Wang, J Wu -
Neurocomputing, 2015 - Elsevier
A fast projected fix-point algorithm for large graph matching, Y Lu, K Huang, CL Liu - Pattern Recognition,
2016 - Elsevier
A fast space-saving algorithm for maximal co-location pattern mining, X Yao, L Peng, L Yang, T Chi - Expert
Systems with Applications, 2016 - Elsevier
A fast training algorithm for extreme learning machine based on matrix decomposition, J Li, C Hua, Y Tang,
X Guan - Neurocomputing, 2016 - Elsevier

2017 AI
3
A fast unified algorithm for solving group-lasso penalize learning problems, Y Yang, H Zou - Statistics and
Computing, 2015 - Springer
A high-order fuzzy classifier learned through clustering and gradient descent algorithm for classification
problems, CF Juang, GC Chen - 2014 9th IEEE Conference on Industrial …, 2014 - ieeexplore.ieee.org
A high-order multi-variable Fuzzy Time Series forecasting algorithm based on fuzzy clustering, S. Askari, N.
Montazerin in Expert Systems with Applications 2015
A manifold learning-based reduced order model for springback shape characterization and optimization in
sheet metal forming, G Le Quilliec, B Raghavan, P Breitkopf - Computer Methods in Applied …, 2015 -
Elsevier
A new approach to the stability analysis of continuous-time distributed consensus algorithms, B Liu, W Lu,
T Chen - Neural Networks, 2013 - Elsevier
A new efficient hybrid intelligent method for nonlinear dynamical systems identification: the Wavelet
Kernel Fuzzy Neural Network, H Loussifi, K Nouri, NB Braiek - Communications in Nonlinear Science and
…, 2016 - Elsevier
A new fast fuzzy partitioning algorithm, R Scitovski, I Vidović, D Bajer - Expert Systems with Applications,
2016 - Elsevier
A new hybrid algorithm based on Firefly Algorithm and cellular learning automata, T Hassanzadeh, MR
Meybodi - 20th Iranian Conference on …, 2012 - ieeexplore.ieee.org
A new kernelization framework for Mahalanobis distance learning algorithms, R Chatpatanasiri, T
Korsrilabutr… - Neurocomputing, 2010 - Elsevier
A novel self-constructing radial basis function neural-fuzzy system, YK Yang, TY Sun, CL Huo, YH Yu, CC
Liu… - Applied Soft Computing, 2013 - Elsevier
A Partial Weighted Utility Measure for Fuzzy Association Rule Mining, P Kayal, S Kannan - Indian Journal of
Science and Technology, 2016 - indjst.org
A Recent Review on Association Rule Mining, G Maragatham, M Lakshmi - Indian Journal of Computer
Science and …, 2012 - Citeseer
A research survey: review of AI solution strategies of job shop scheduling problem, Banu Çaliş, Serol
Bulkan in Journal of Intelligent Manufacturing October 2015, Volume 26, Issue 5, pp 961-973
A review of artificial intelligence algorithms in document classification, A Bilski - International Journal of
Electronics and …, 2011 - degruyter.com
A review of automatic selection methods for machine learning algorithms and hyper-parameter values, G
Luo - Network Modeling Analysis in Health Informatics and …, 2016 - Springer
A review of intelligent driving style analysis systems and related artificial intelligence algorithms, GAM
Meiring, HC Myburgh - Sensors, 2015 - mdpi.com
A Review of Online Decision Tree Learning Algorithms, C Rosset - 2015 - corbyrosset.com
A review of some Bayesian Belief Network structure learning algorithms, S Mittal, SL Maskara - … and
Signal Processing (ICICS) 2011 8th …, 2011 - ieeexplore.ieee.org
A review of supervised machine learning algorithms and their applications to ecological data, C. Crisci, B.
Ghattas, G. Perera in Ecological Modelling 10 August 2012, Vol.240:113–122,
doi:10.1016/j.ecolmodel.2012.03.001

2017 AI
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A review of teaching and learning through practice of optimization algorithms, JÁ Velázquez-Iturbide, O
Debdi… - … strategies and new …, 2015 - books.google.com
A review of the application of swarm intelligence algorithms to 2D cutting and packing problem, Y Xu, GK
Yang, J Bai, C Pan - International Conference in Swarm …, 2011 - Springer
A review on association rule mining algorithms, J Arora, N Bhalla, S Rao - … Journal of Innovative Research
in Computer …, 2013 - core.ac.uk
A Review on Association Rule Mining and Improved Apriori Algorithms, MA Rathod, MA Dhabariya, MC
Thacker - 2013 - iret.co.in
A review on concepts, algorithms and recognition based applications of artificial immune system, S Golzari,
S Doraisamy, MNB Sulaiman… - Advances in Computer …, 2008 - Springer
A Review on Different Association Rule Mining Algorithms, S Sheikh, MR Patidar - 2014 - ijournals.in
A review on hybrid optimization algorithms to coalesce computational morphogenesis with interactive
energy consumption forecasting, LE Mavromatidis - Energy and Buildings, 2015 - Elsevier
A review on multi-label learning algorithms, ML Zhang, ZH Zhou - IEEE transactions on knowledge and …,
2014 - ieeexplore.ieee.org
A robust sensorless control algorithm for induction generator operating in deep flux weakening region, L
Xu, B Guan, J Hu - … Society Annual Meeting, 2008. IAS'08. …, 2008 - ieeexplore.ieee.org
A strategy for mining utility based temporal association rules, G Maragatham, M Lakshmi - Trendz in
Information Sciences & …, 2010 - ieeexplore.ieee.org
A Survey and Classification of A* Based Best-First Heuristic Search Algorithms, Luis Henrique Oliveira Rios,
Luiz Chaimowicz, chapter in Advances in Artificial Intelligence – SBIA 2010, 2010
A survey of applications of artificial intelligence algorithms in eco-environmental modelling, KS Kim, JH
Park - Environmental Engineering Research, 2009 - koreascience.or.kr
A survey of approaches to decision making with intuitionistic fuzzy preference relations, Z Xu, H Liao -
Knowledge-based systems, 2015 - Elsevier
A Survey of artificial immune applications, Jieqiong Zheng, Yunfang Chen, Wei Zhang in Artificial
Intelligence Review June 2010, Volume 34, Issue 1
A survey of collaborative filtering techniques, X Su, TM Khoshgoftaar - Advances in artificial intelligence,
2009 - dl.acm.org
A survey of Data mining in the context of E-learning, YA ALMazroui - Int. J. Inf. Technol. Comput. Sci, 2013 -
ijitcs.com
A survey of discretization techniques: Taxonomy and empirical analysis in supervised learning, S Garcia, J
Luengo, JA Sáez, V Lopez… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
A Survey of Distributed Association Rule Mining Algorithms 1, V Sawant, K Shah - Journal of Emerging
Trends in Computing and …, 2014 - Citeseer
A survey of distributed intelligence in automation in european industry, research and market, I Terzic, A
Zoitl, B Favre… - 2008 IEEE International …, 2008 - ieeexplore.ieee.org
A survey of graph edit distance, Xinbo Gao, Bing Xiao, Dacheng Tao, Xuelong Li in Pattern Analysis and
Applications, February 2010, Volume 13, Issue 1

2017 AI
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A Survey of Graph Pattern Mining Algorithm and Techniques, HJ Patel, R Prajapati, M Panchal, M Patel -
International Journal of …, 2013 - ijaiem.org
A survey of hierarchical fuzzy systems, D Wang, XJ Zeng, J Keane - International Journal of Computational
…, 2006 - Citeseer
A survey of hybrid representations of concept lattices in conceptual knowledge processing, P Eklund, J
Villerd - International Conference on Formal Concept Analysis, 2010 - Springer
A Survey of Location Prediction Using Trajectory Mining, BA Sabarish, R Karthi, T Gireeshkumar - Artificial
Intelligence and …, 2015 - Springer
A Survey of Machine Learning Algorithm in Network Traffic Classification, S Katal, APH Singh - 2014 -
ijcttjournal.org
A Survey of Machine Learning Algorithms and Their Applications in Cognitive Radio, M Alshawaqfeh, X
Wang, AR Ekti, MZ Shakir… - … on Cognitive Radio …, 2015 - Springer
A Survey of Machine Learning Algorithms and Their Applications in Cognitive Radio, Mustafa Alshawaqfeh,
Xu Wang, Ali Rıza Ekti, Muhammad Zeeshan Shakir, Khalid Qaraqe, Erchin Serpedin, chapter in Cognitive
Radio Oriented Wireless Networks, October 2015
A Survey of Machine Learning and Computer Vision with SVM, T Gneiting - 2009 - cs.colostate.edu
A Survey of Machine Learning Applications for Energy-Efficient Resource Management in Cloud Computing
Environments, M Demirci - 2015 IEEE 14th International Conference on …, 2015 - ieeexplore.ieee.org
A Survey of Machine Learning Applications to Cloud Computing, J Fiala - 2015 - cse.wustl.edu
A survey of machine learning approaches to robotic path-planning, MW Otte - Cited on - cs.colorado.edu
A Survey of Machine Learning Based Packet Classification, Y Liu - Symposium on Computational
Intelligence for Security …, 2009 - blogs.ubc.ca
A survey of machine learning for big data processing, J Qiu, Q Wu, G Ding, Y Xu, S Feng - EURASIP Journal on
Advances in …, 2016 - Springer
A survey of machine learning for reference resolution in textual discourse, F Olsson - SICS Research Report,
2004 - eprints.sics.se
A survey of machine learning methods for secondary and supersecondary protein structure prediction, HK
Ho, L Zhang, K Ramamohanarao… - Protein Supersecondary …, 2013 - Springer
A SURVEY OF MACHINE LEARNING TECHNIQUES FOR SENTIMENT CLASSIFICATION, M Chaudhari, S
Govilkar - academia.edu
A survey of machine learning techniques for Spam filtering, O Saad, A Darwish, R Faraj - International
Journal of …, 2012 - search.proquest.com
A survey of methods for distributed machine learning, Diego Peteiro-Barral, Bertha Guijarro-Berdiñas in
Progress in Artificial Intelligence, March 2013, Volume 2, Issue 1
A Survey of Multi-agent Coordination, L Jiang, D Liu - IC-AI, 2006 - pdfs.semanticscholar.org
A Survey of Multi-Agent Decision Making, N Bulling - KI-Künstliche Intelligenz, 2014 - Springer
A survey of multi-agent organizational paradigms, B Horling, V Lesser - The Knowledge Engineering
Review, 2004 - Cambridge Univ Press
A survey of multi-agent trust management systems, H Yu, Z Shen, C Leung, C Miao, VR Lesser - IEEE Access,
2013 - ieeexplore.ieee.org

2017 AI
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A survey of multi-objective sequential decision-making, DM Roijers, P Vamplew, S Whiteson… - Journal of
Artificial …, 2013 - arxiv.org
A survey of multi-source domain adaptation, S Sun, H Shi, Y Wu - Information Fusion, 2015 - Elsevier
A survey of multi-view machine learning, S Sun - Neural Computing and Applications, 2013 - Springer
A Survey of Recent Progress in the Study of Distributed High-Order Linear Multi-Agent Coordination, J
Huang, H Fang, J Chen, L Dou, J Zeng - JACIII, 2014 - fujipress.jp
A Survey of Relational Approaches for Graph Pattern Matching over Large Graphs, J Cheng, JX Yu - 2011 -
igi-global.com
A survey of trust and reputation systems in multi-agent systems, H Lijian, H Houkuan, Z Wei - Journal of
Computer Research and …, 2008 - en.cnki.com.cn
A taxonomy and short review of ensemble selection, G Tsoumakas, I Partalas, I Vlahavas - Workshop on
Supervised and …, 2008 - ama.imag.fr
A taxonomy of ambient information systems: four patterns of design, Z Pousman, J Stasko - Proceedings of
the working conference on …, 2006 - dl.acm.org
A taxonomy of architectural patterns for self-adaptive systems, M Puviani, G Cabri, F Zambonelli - … of the
International C* Conference on …, 2013 - dl.acm.org
A taxonomy of argumentation models used for knowledge representation, J Bentahar, B Moulin, M Bélanger
- Artificial Intelligence Review, 2010 - Springer
A taxonomy of hybrid metaheuristics, EG Talbi - Journal of heuristics, 2002 - dl.acm.org
A taxonomy of learning through asynchronous discussion, DS Knowlton - Journal of Interactive Learning
Research, 2005 - search.proquest.com
A taxonomy of Self-organizing Maps for temporal sequence processing, G Guimarães, VS Lobo… - Intelligent
Data …, 2003 - content.iospress.com
A taxonomy of sequential pattern mining algorithms, NR Mabroukeh, CI Ezeife - ACM Computing Surveys
(CSUR), 2010 - dl.acm.org
A taxonomy of similarity mechanisms for case-based reasoning, P Cunningham - IEEE Transactions on
Knowledge and Data …, 2009 - ieeexplore.ieee.org
A taxonomy of video games and AI, EAA Gunn, BGW Craenen, E Hart - Proceedings of AISB 2009 …, 2009 -
academia.edu
A Weighted Algorithm of Inductive Transfer Learning Based on Maximum Entropy Model, M Canhua, Z
Yuhong, H Xuegang… - Journal of Computer …, 2011 - en.cnki.com.cn
A Weighted Association Rules Mining Algorithm with Fuzzy Quantitative Constraints, Q Lu, B Sheng - … and
Cloud Computing Companion (ISCC-C), …, 2013 - ieeexplore.ieee.org
A Weighted based Pre-Perform A* Algorithm for Efficient Heuristics Computation Processing, MS Oh, SJ
Park - Journal of Korea Game Society, 2013 - koreascience.or.kr
A weighted load-balancing parallel apriori algorithm for association rule mining, KM Yu, JL Zhou - Granular
Computing, 2008. GrC 2008. IEEE …, 2008 - ieeexplore.ieee.org
A Weighted Support Vector Machine Fast Training Algorithm, Y Qin, Q Ai, X Wang - 2006 International
Conference on …, 2006 - ieeexplore.ieee.org

2017 AI
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A weighted utility framework for mining association rules, MS Khan, M Muyeba, F Coenen - Computer
Modeling and …, 2008 - ieeexplore.ieee.org
Adaptive and learning systems: theory and applications, KS Narendra - 2013
Advanced Learning Algorithms of Neural Networks, H Yu - 2011 - etd.auburn.edu
Advanced learning algorithms, BM Wilamowski - 2009 International Conference on Intelligent …, 2009 -
ieeexplore.ieee.org
Advanced Neural Network Algorithms for Prediction Applications, K Bichkule - 2014 - Citeseer
Agent strategy generation by rule induction, B Śnieźyński - Computing and Informatics, 2014 - cai.sk
Algorithms for nesting with defects, Roberto Baldacci, Marco A. Boschetti, Maurizio Ganovelli, Vittorio
Maniezzo in Discrete Applied Mathematics - Matheuristics 2010, 30 January 2014, Vol.163,
doi:10.1016/j.dam.2012.03.026
An analysis of Q-learning algorithms with strategies of reward function, S Manju, M Punithavalli -
International Journal on Computer …, 2011 - enggjournals.com
An assessment of fuzzy temporal association rule mining, S Jain, APS Jain, A Jain - International Journal,
2013 - ijaiem.org
Analysis of algorithms for radial basis function neural network, J Stastny, V Skorpil - Personal Wireless
Communications, 2007 - Springer
Analysis of large-scale SVM training algorithms for language and speaker recognition, S Cumani, P Laface -
IEEE Transactions on Audio, Speech, …, 2012 - ieeexplore.ieee.org
Analyzing Task Driven Dictionary Learning Algorithms, M Pekala - 2011 - pdfs.semanticscholar.org
Application of Neural Networks in High Assurance Systems: A Survey, Johann Schumann, Pramod Gupta,
Yan Liu, chapter in Applications of Neural Networks in High Assurance Systems, 2010
Association Rule Mining based on Apriori algorithm in minimizing candidate generation, SA Abaya -
International Journal of Scientific & Engineering …, 2012 - Citeseer
Asymmetric parallel 3D thinning scheme and algorithms based on isthmuses, Michel Couprie, Gilles
Bertrand in Pattern Recognition Letters, Available online April 2015, doi:10.1016/j.patrec.2015.03.014
Automatic multi-objective clustering based on game theory, I Heloulou, MS Radjef, MT Kechadi - Expert
Systems with Applications, 2017 - Elsevier
Automatic seed word selection for unsupervised sentiment classification of Chinese text, T Zagibalov, J
Carroll - … of the 22nd International Conference on …, 2008 - dl.acm.org
Boosted multivariate trees for longitudinal data, A Pande, L Li, J Rajeswaran, J Ehrlinger, UB Kogalur… -
Machine Learning, 2016 - Springer
Challenges to complexity shields that are supposed to protect elections against manipulation and control: A
survey, J Rothe, L Schend - Annals of Mathematics and Artificial Intelligence, 2013 - Springer
Cluster structure preserving unsupervised feature selection for multi-view tasks, H Shi, Y Li, Y Han, Q Hu -
Neurocomputing, 2016 - Elsevier
Comparative study of view update algorithms in rational choice theory, R Delhibabu - Applied Intelligence,
2015 - Springer
Computational and Statistical Tradeoffs in Learning to Rank, A Khetan, S Oh - Advances in Neural
Information Processing …, 2016 - papers.nips.cc

2017 AI
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Cooperative learning for radial basis function networks using particle swarm optimization, A Alexandridis,
E Chondrodima, H Sarimveis - Applied Soft Computing, 2016 - Elsevier
Coupled cross-correlation neural network algorithm for principal singular triplet extraction of a cross-
covariance matrix, X Feng, X Kong, H Ma - IEEE/CAA Journal of Automatica Sinica, 2016 -
ieeexplore.ieee.org
Data-Driven Unsupervised Evaluation of Automatic Text Summarization Systems, E Yagunova, O Makarova,
E Pronoza - Mexican International Conference …, 2015 - Springer
DeepMath-Deep Sequence Models for Premise Selection, AA Alemi, F Chollet, G Irving, C Szegedy… - arXiv
preprint arXiv: …, 2016 - papers.nips.cc
Discovery of temporal association rules with hierarchical granular framework, TP Hong, GC Lan, JH Su, PS
Wu, SL Wang - Applied Computing and …, 2016 - Elsevier
Discriminant deep belief network for high-resolution SAR image classification, Z Zhao, L Jiao, J Zhao, J Gu, J
Zhao - Pattern Recognition, 2017 - Elsevier
Distinct Variation Pattern Discovery Using Alternating Nonlinear Principal Component Analysis, P Howard,
DW Apley, G Runger - IEEE Transactions on Neural …, 2016 - ieeexplore.ieee.org
Distributed learning with data reduction, I Czarnowski - Transactions on computational collective
intelligence …, 2011 - dl.acm.org
Diversity Leads to Generalization in Neural Networks, B Xie, Y Liang, L Song - arXiv preprint
arXiv:1611.03131, 2016 - arxiv.org
Efficient Communications in Training Large Scale Neural Networks, L Wang, W Wu, G Bosilca, R Vuduc, Z
Xu - arXiv preprint arXiv: …, 2016 - arxiv.org
Efficient Distributed Learning with Sparsity, J Wang, M Kolar, N Srebro, T Zhang - arXiv preprint
arXiv:1605.07991, 2016 - arxiv.org
ENN: Extended nearest neighbor method for pattern recognition, B Tang, H He - IEEE Computational
Intelligence Magazine, 2015 - ieeexplore.ieee.org
Fast pattern-based algorithms for cutting stock, F Brandao, JP Pedroso - Computers & Operations Research,
2014 - Elsevier
Faster method for Deep Belief Network based Object classification using DWT [discrete wavelet
transform], S Sihag, PK Dutta - arXiv preprint arXiv:1511.06276, 2015 - arxiv.org
Feature selection and feature learning for high-dimensional batch reinforcement learning: A survey, DR
Liu, HL Li, D Wang - International Journal of Automation and …, 2015 - Springer
Filtering algorithms for global chance constraints, B Hnich, R Rossi, SA Tarim, S Prestwich - Artificial
Intelligence, 2012 - Elsevier
Filtering algorithms for the multiset ordering constraint, AM Frisch, B Hnich, Z Kiziltan, I Miguel, T Walsh -
Artificial Intelligence, 2009 - Elsevier
Frequent pattern mining algorithms: A survey, CC Aggarwal, MA Bhuiyan, M Al Hasan - Frequent Pattern
Mining, 2014 - Springer
Generalized norm optimal iterative learning control with intermediate point and sub-interval tracking, DH
Owens, CT Freeman, B Chu - International Journal of Automation and …, 2015 - Springer
Graph theory and model collection management: conceptual framework and runtime analysis of selected
graph algorithms, D Breuker, P Delfmann, HA Dietrich… - Information Systems and e …, 2015 - Springer

2017 AI
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Handbook of Statistics: Machine Learning: Theory and Applications, CR Rao, V Govindaraju - 2013
Intelligent Numerical Methods: Applications to Fractional Calculus, GA Anastassiou, IK Argyros - 2016 -
Springer
Introduction to machine learning, E Alpaydin - 2014
Kernel Learning with Hilbert-Schmidt Independence Criterion, T Wang, W Li, X He - Chinese Conference on
Pattern Recognition, 2016 - Springer
Layer multiplexing FPGA implementation for deep back-propagation learning, F Ortega-Zamorano, JM
Jerez… - Integrated Computer- …, 2017 - content.iospress.com
Learning patterns in ambient intelligence environments: a survey, A Aztiria, A Izaguirre, JC Augusto -
Artificial Intelligence Review, 2010 - Springer
Learning to generate chairs, tables and cars with convolutional networks, A Dosovitskiy, J Springenberg… -
IEEE transactions on …, 2016 - ieeexplore.ieee.org
Lifted graphical models: a survey, A Kimmig, L Mihalkova, L Getoor - Machine Learning, 2015 - Springer
Localized algorithms for multiple kernel learning, M GöNen, E AlpaydıN - Pattern Recognition, 2013 -
Elsevier
Locally linear embedding: a survey, J Chen, Y Liu - Artificial Intelligence Review, 2011 - Springer
Metalearning: a survey of trends and technologies, C Lemke, M Budka, B Gabrys - Artificial intelligence
review, 2015 - Springer
Methods and algorithms for unsupervised learning of morphology, B Can, S Manandhar - … Conference on
Intelligent Text Processing and …, 2014 - Springer
Methods for solving reasoning problems in abstract argumentation–A survey, G Charwat, W Dvořák, SA
Gaggl, JP Wallner… - Artificial intelligence, 2015 - Elsevier
Mining fuzzy temporal association rules by item lifespans, CH Chen, GC Lan, TP Hong, SB Lin - Applied Soft
Computing, 2016 - Elsevier
Mining intelligent knowledge from a two-phase association rules mining, Y Zhang, LL Zhang, Y Liu, Y Shi - …
Journal of Data Mining, …, 2010 - inderscienceonline.com
Mixture of experts: a literature survey, S Masoudnia, R Ebrahimpour - Artificial Intelligence Review, 2014 -
Springer
Multi-label semi-supervised learning using regularized kernel spectral clustering, S Mehrkanoon, JAK
Suykens - Neural Networks (IJCNN), 2016 …, 2016 - ieeexplore.ieee.org
Multi-task sparse structure learning with Gaussian copula models, AR Gonçalves, FJ Von Zuben, A Banerjee
- Journal of Machine Learning …, 2016 - jmlr.org
Neural network emulation of spatio-temporal data using linear and nonlinear dimensionality reduction, V
Triantafyllidis, W Xing, AA Shah, PB Nair - Advanced Computer and …, 2016 - Springer
Neural networks and analog computation: beyond the Turing limit, H Siegelmann - 2012
New quasi-Newton iterative learning control scheme based on rank-one update for nonlinear systems, G
Xu, C Shao, Y Han, K Yim - The Journal of Supercomputing, 2014 - Springer
Nonlinear shape-manifold learning approach: concepts, tools and applications, L Meng, P Breitkopf, G Le
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