Table of Contents

• Clustering data over time using kernel spectral clustering with memoryRocco Langone, Raghvendra Mall, Johan A. K. Suykens. 1-8 [doi]
• Agglomerative hierarchical kernel spectral data clusteringRaghvendra Mall, Rocco Langone, Johan A. K. Suykens. 9-16 [doi]
• Quantum clustering - A novel method for text analysisDing Liu, Minghu Jiang, Xiaofang Yang. 17-23 [doi]
• Generalized information theoretic cluster validity indices for soft clusteringsYang Lei, James C. Bezdek, Jeffrey Chan, Nguyen Xuan Vinh, Simone Romano, James Bailey. 24-31 [doi]
• A density-based clustering of the Self-Organizing Map using graph cutLeonardo Enzo Brito da Silva, José Alfredo Ferreira Costa. 32-40 [doi]
• New bilinear formulation to semi-supervised classification based on Kernel Spectral ClusteringVilen Jumutc, Johan A. K. Suykens. 41-47 [doi]
• Batch linear least squares-based learning algorithm for MLMVN with soft marginsEvgeni Aizenberg, Igor N. Aizenberg. 48-55 [doi]
• Comparing datasets by attribute alignmentJakub Smíd, Roman Neruda. 56-62 [doi]
• Convex multi-task relationship learning using hinge lossAnveshi Charuvaka, Huzefa Rangwala. 63-70 [doi]
• Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification SystemsThomas Villmann, Marika Kaden, Mandy Lange, Paul Sturmer, Wieland Hermann. 71-77 [doi]
• BioHCDP: A Hybrid Constituency-Dependency Parser for Biological NLP information extractionKamal Taha, Mohammed Al Zaabi. 78-85 [doi]
• Classification of iPSC colony images using hierarchical strategies with support vector machinesHenry Joutsijoki, Jyrki Rasku, Markus Haponen, Ivan Baldin, Yulia Gizatdinova, Michelangelo Paci, Jyri Saarikoski, Kirsi Varpa, Harri Siirtola, Jorge Avalos-Salguero, Kati Iltanen, Jorma Laurikkala, Kirsi Penttinen, Jari Hyttinen, Katriina Aalto-Setälä, Martti Juhola. 86-92 [doi]
• Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapySandra Ortega-Martorell, Iván Olier, Teresa Delgado-Goni, Magdalena Ciezka, Margarida Julià-Sapé, Paulo J. G. Lisboa, Carles Arús. 93-98 [doi]
• Automatic relevance source determination in human brain tumors using Bayesian NMFSandra Ortega-Martorell, Iván Olier, Margarida Julia-Sape, Carles Arus, Paulo J. G. Lisboa. 99-104 [doi]
• Alzheimer's disease patients classification through EEG signals processingGiulia Fiscon, Emanuel Weitschek, Giovanni Felici, Paola Bertolazzi, Simona De Salvo, Placido Bramanti, Maria Cristina De Cola. 105-112 [doi]
• Relational data partitioning using evolutionary game theoryLawrence O. Hall, Alireza Chakeri. 113-120 [doi]
• Aggregating predictions vs. aggregating features for relational classificationOliver Schulte, Kurt Routley. 121-128 [doi]
• Ontology learning with complex data type for Web service clusteringBanage T. G. S. Kumara, Incheon Paik, Koswatte R. C. Koswatte, Wuhui Chen. 129-136 [doi]
• Semantic clustering-based cross-domain recommendationAnil Kumar, Nitesh Kumar, Muzammil Hussain, Santanu Chaudhury, Sumeet Agarwal. 137-141 [doi]
• Distributed evolutionary approach to data clustering and modelingMustafa H. Hajeer, Dipankar Dasgupta, Alexander Semenov, Jari Veijalainen. 142-148 [doi]
• Valid interpretation of feature relevance for linear data mappingsBenoît Frénay, Daniela Hofmann, Alexander Schulz, Michael Biehl, Barbara Hammer. 149-156 [doi]
• High dimensional exploration: A comparison of PCA, distance concentration, and classification performance in two fMRI datasetsJoset A. Etzel, Todd S. Braver. 157-162 [doi]
• Two key properties of dimensionality reduction methodsJohn Aldo Lee, Michel Verleysen. 163-170 [doi]
• Generalized kernel framework for unsupervised spectral methods of dimensionality reductionDiego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen. 171-177 [doi]
• Evaluating topic quality using model clusteringVineet Mehta, Rajmonda S. Caceres, Kevin M. Carter. 178-185 [doi]
• Optimization of the type-1 and interval type-2 fuzzy integrators in Ensembles of ANFIS models for prediction of the Dow Jones time seriesJesus Soto, Patricia Melin, Oscar Castillo. 186-193 [doi]
• Accurate and interpretable regression trees using oracle coachingUlf Johansson, Cecilia Sönströd, Rikard König. 194-201 [doi]
• Product aspect identification: Analyzing role of different classifiersXing Hu, Sukanya Manna, Brian N. Truong. 202-209 [doi]
• Rule extraction using genetic programming for accurate sales forecastingRikard König, Ulf Johansson. 210-216 [doi]
• Facial image clustering in stereo videos using local binary patterns and double spectral analysisGeorgios Orfanidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas. 217-221 [doi]
• Weighted feature-based classification of time series dataPenugonda Ravikumar, V. Susheela Devi. 222-228 [doi]
• Gender classification of subjects from cerebral blood flow changes using Deep LearningTomoyuki Hiroyasu, Kenya Hanawa, Utako Yamamoto. 229-233 [doi]
• A feature transformation method using genetic programming for two-class classificationTomoyuki Hiroyasu, Toshihide Shiraishi, Tomoya Yoshida, Utako Yamamoto. 234-240 [doi]
• Dependency network methods for Hierarchical Multi-label Classification of gene functionsFábio Fabris, Alex Alves Freitas. 241-248 [doi]
• A novel criterion for overlapping communities detection and clustering improvementAlessandro Berti, Alessandro Sperduti, Andrea Burattin. 249-256 [doi]
• Incremental transfer RULES with incomplete dataHebah ElGibreen, Mehmet Sabih Aksoy. 257-264 [doi]
• Novelty detection applied to the classification problem using Probabilistic Neural NetworkBalvant Yadav, V. Susheela Devi. 265-272 [doi]
• A framework for initialising a dynamic clustering algorithm: ART2-ASimon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa. 273-280 [doi]
• Recommendation for Web services with domain specific context awarenessBanage T. G. S. Kumara, Incheon Paik, Koswatte R. C. Koswatte, Wuhui Chen. 281-287 [doi]
• Tibetan-Chinese cross language named entity extraction based on comparable corpus and naturally annotated resourcesYuan Sun, Wenbin Guo, Xiaobing Zhao. 288-295 [doi]
• Detecting and profiling sedentary young men using machine learning algorithmsPekka Siirtola, Riitta Pyky, Riikka Ahola, Heli Koskimäki, Timo Jämsä, Raija Korpelainen, Juha Röning. 296-303 [doi]
• Patient level analytics using self-organising maps: A case study on Type-1 Diabetes self-care survey responsesSantosh Tirunagari, Norman Poh, Kouros Aliabadi, David Windridge, Deborah Cooke. 304-309 [doi]
• Interpolation and extrapolation: Comparison of definitions and survey of algorithms for convex and concave hullsTobias Ebert, Julian Belz, Oliver Nelles. 310-314 [doi]
• Takagi-Sugeno-Kang type collaborative fuzzy rule based systemK. P. Chou, M. Prasad, Y. Y. Lin, S. Joshi, C.-T. Lin, J. Y. Chang. 315-320 [doi]
• Recognizing gym exercises using acceleration data from wearable sensorsHeli Koskimäki, Pekka Siirtola. 321-328 [doi]
• What can spatial collectives tell us about their environment?Zena Wood. 329-336 [doi]
• Weighted one-class classification for different types of minority class examples in imbalanced dataBartosz Krawczyk, Michal Wozniak, Francisco Herrera. 337-344 [doi]
• A sparsity-based training algorithm for Least Squares SVMJie Yang, Jun Ma. 345-350 [doi]
• Wolf search algorithm for attribute reduction in classificationWaleed Yamany, Eid Emary, Aboul Ella Hassanien. 351-358 [doi]
• Alarm prediction in industrial machines using autoregressive LS-SVM modelsRocco Langone, Carlos Alzate, Abdellatif Bey-Temsamani, Johan A. K. Suykens. 359-364 [doi]
• Sensor dynamics in high dimensional phase spaces via nonlinear transformations: Application to helicopter loads monitoringJulio J. Valdés, Catherine Cheung, Matthew Li. 365-372 [doi]
• Automatic text categorization using a system of high-precision and high-recall modelsDai Li, Yi Lu Murphey. 373-380 [doi]
• The use of process mining in a business process simulation context: Overview and challengesNiels Martin, Benoît Depaire, An Caris. 381-388 [doi]
• Discovering cross-organizational business rules from the cloudMario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi. 389-396 [doi]
• GoldMiner: A genetic programming based algorithm applied to Brazilian Stock MarketAlexandre Pimenta, Frederico Gadelha Guimarães, Eduardo G. Carrano, Ciniro Aparecido Leite Nametala, Ricardo H. C. Takahashi. 397-402 [doi]
• FATHOM: A neural network-based non-verbal human comprehension detection system for learning environmentsFiona J. Buckingham, Keeley A. Crockett, Zuhair Bandar, James O'Shea. 403-409 [doi]
• Predicting student success based on prior performanceAhmad Slim, Gregory L. Heileman, Jarred Kozlick, Chaouki T. Abdallah. 410-415 [doi]
• To what extend can we predict students' performance? A case study in colleges in South AfricaNorman Poh, Ian Smythe. 416-421 [doi]
• Matching social network biometrics using geo-analytical behavioral modelingMark Rahmes, Kevin Fox, John Delay, Gran Roe. 422-430 [doi]
• Massively parallelized support vector machines based on GPU-accelerated multiplicative updatesConnie Khor Li Kou, Chao-Hui Huang. 431-438 [doi]
• Scaling a neyman-pearson subset selection approach via heuristics for mining massive dataGregory Ditzler, Matthew Austen, Gail L. Rosen, Robi Polikar. 439-445 [doi]
• MapReduce guided approximate inference over graphical modelsAhsanul Haque, Swarup Chandra, Latifur Khan, Michael Baron. 446-453 [doi]
• Optimization of relational database usage involving Big Data a model architecture for Big Data applicationsErin-Elizabeth A. Durham, Andrew Rosen, Robert W. Harrison. 454-462 [doi]
• Learning energy consumption profiles from dataJean-Marc Andreoli. 463-470 [doi]
• kNN estimation of the unilateral dependency measure between random variablesAngel Cataron, Razvan Andonie, Yvonne Chueh. 471-478 [doi]
• Using data mining to investigate interaction between channel characteristics and hydraulic geometry channel typesLeong Lee, Gregory S. Ridenour. 479-488 [doi]
• Experimental studies on indoor sign recognition and classificationZhen Ni, Siyao Fu, Bo Tang, Haibo He, Xinming Huang. 489-494 [doi]
• High-SNR model order selection using exponentially embedded family and its applications to curve fitting and clusteringQuan Ding, Steven Kay, Xiaorong Zhang. 495-500 [doi]