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Viewing Publication 1 - 100 from 19295

2011

Collective classification of textual documents by guided self-organization in T-Cell cross-regulation dynamicsAlaa Abi-Haidar, Luis Mateus Rocha. evi, 4(2):69-80, 2011. [doi]

MCS: A Method for Finding the Number of ClustersAhmed Albatineh, Magdalena Niewiadomska-Bugaj. classification, 28(2):184-209, 2011. [doi]

Person Re-identification Using Appearance ClassificationKheir-Eddine Aziz, Djamel Merad, Bernard Fertil. iciar 2011: 170-179 [doi]

Musical Instrument Classification Using Individual PartialsJayme G. A. Barbedo, George Tzanetakis. taslp, 19(1):111-122, 2011. [doi]

Radial Basis Function Neural Network for Classification of Quantitative EEG in Patients with Advanced Chronic Renal FailureJuan A. Barios, César Gonzalez, Bettina Benbunan, Victor Fernández-Armayor, José L. Teruel, Milagros Fernández, Antonio Pedrera, José M. Gaztelu. iwinac 2011: 411-418 [doi]

Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifoldsElnaz Barshan, Ali Ghodsi, Zohreh Azimifar, Mansoor Zolghadri Jahromi. PR, 44(7):1357-1371, 2011. [doi]

The Effects and Interactions of Data Quality and Problem Complexity on ClassificationRoger Blake, Paul Mangiameli. jdiq, 2(2):8, 2011. [doi]

Multi-objective nature-inspired clustering and classification techniques for image segmentationChin-Wei Bong, Mandava Rajeswari. asc, 11(4):3271-3282, 2011. [doi]

Classification and generation of nanoconesGunnar Brinkmann, Nicolas Van Cleemput. DAM, 159(15):1528-1539, 2011. [doi]

Multi-label classification and extracting predicted class hierarchiesFlorian Brucker, Fernando Benites, Elena P. Sapozhnikova. PR, 44(3):724-738, 2011. [doi]

Feature extraction for multi-label learning in the domain of email classificationJosé M. Carmona-Cejudo, Manuel Baena-García, José del Campo-Ávila, Rafael Morales Bueno. cidm 2011: 30-36 [doi]

Collective Classification Using Heterogeneous ClassifiersZehra Cataltepe, Abdullah Sonmez, Kadriye Baglioglu, Ayse Erzan. mldm 2011: 155-169 [doi]

An efficient statistical feature selection approach for classification of gene expression dataB. Chandra, Manish Gupta 0005. jbi, 44(4):529-535, 2011. [doi]

Multi-field range encoding for packet classification in TCAMYeim-Kuan Chang, Chun-I. Lee, Cheng-Chien Su. infocom 2011: 196-200 [doi]

Classification of material type and its surface properties using digital signal processing techniques and neural networksNadir Nizar Ali Charniya, Sanjay V. Dudul. asc, 11(1):1108-1116, 2011. [doi]

Dirichlet distribution with centroid model (DDCM) based summarization technique for web document classificationSetu K. Chaturvedi, Dhirendra Kumar Swami, Gulab Singh. compute 2011: 28 [doi]

Particle swarm optimization for multi-label classificationTiago Amador Coelho, Ahmed Ali Abdalla Esmin, Wagner Meira Júnior. gecco 2011: 17-18 [doi]

Collective Classification in Semantic Mapping with a Probabilistic Description LogicFabiano Corrêa, Fabio Gagliardi Cozman, Jun Okamoto Jr.. dlog 2011: [doi]

Speed independent terrain classification using Singular Value Decomposition InterpolationEric Coyle, Emmanuel G. Collins Jr., Rodney G. Roberts. icra 2011: 4014-4019 [doi]

Classification with NormalBoostErfan Davami, Hasan Fleyeh. jois, 20(2):187-208, 2011. [doi]

Classification of audio signals using AANN and GMMP. Dhanalakshmi, S. Palanivel, Vennila Ramalingam. asc, 11(1):716-723, 2011. [doi]

A sparse multinomial probit model for classificationYunfei Ding, Robert F. Harrison. paa, 14(1):47-55, 2011. [doi]

Feature Selection for Interpatient Supervised Heart Beat ClassificationGauthier Doquire, Gael de Lannoy, Damien François, Michel Verleysen. cin, 2011, 2011. [doi]

Some New Results on Orthogonally Constrained CandecompMohammed Bennani Dosse, Jos M. F. ten Berge, Jorge N. Tendeiro. classification, 28(2):144-155, 2011. [doi]

Classification of communications signals using an advanced techniqueAtaollah Ebrahimzadeh, S. E. Mousavi. asc, 11(1):428-435, 2011. [doi]

Negative selection algorithms on strings with efficient training and linear-time classificationMichael Elberfeld, Johannes Textor. TCS, 412(6):534-542, 2011. [doi]

A Hybrid Higher Order Neural Classifier for handling classification problemsMehdi Fallahnezhad, Mohammad Hassan Moradi, Salman Zaferanlouei. eswa, 38(1):386-393, 2011. [doi]

Classification automatique de textes basée sur une ontologie normée. Application du Extensible Business Reporting Language (XBRL) au Reuters Corpus Volume 1 (RCV1)Stephane Gagnon, Sadia Messaoudi, Alain Charbonneau. coria 2011: 151-158 [doi]

Dictionary Learning in Texture ClassificationMehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel. iciar 2011: 335-343 [doi]

Textural Classification of Abdominal Aortic Aneurysm after Endovascular Repair: Preliminary ResultsGuillermo García, Josu Maiora, Arantxa Tapia, Mariano de Blas. caip 2011: 537-544 [doi]

Classification of High Dimensional and Imbalanced Hyperspectral Imagery DataVicente García, Javier Salvador Sánchez, Ramón Alberto Mollineda. ibpria 2011: 644-651 [doi]

Un critère Bayésien pour évaluer la robustesse des règles de classificationDominique Gay, Marc Boullé. f-egc 2011: 539-550

Cancer Classification from Gene Expression Data by NPPC EnsembleSantanu Ghorai, Anirban Mukherjee, Sanghamitra Sengupta, Pranab K. Dutta. tcbb, 8(3):659-671, 2011. [doi]

Solving Nonstationary Classification Problems With Coupled Support Vector MachinesGuillermo L. Grinblat, Lucas C. Uzal, H. Alejandro Ceccatto, Pablo M. Granitto. tnn, 22(1):37-51, 2011. [doi]

Medical Domain Knowledge and Associative Classification Rules in DiagnosisSung Ho Ha. ijkdb, 2(1):60-73, 2011. [doi]

Fuzzy Clustered Probabilistic and Multi Layered Feed Forward Neural Networks for Electrocardiogram Arrhythmia ClassificationHassan Hamsa Haseena, Abraham T. Mathew, Joseph K. Paul. jms, 35(2):179-188, 2011. [doi]

Statistical analysis and exposure status classification of transmembrane beta barrel residuesSikander Hayat, Yungki Park, Volkhard Helms. CANDC, 35(2):96-107, 2011. [doi]

Comparison of Learned versus Engineered Features for Classification of Mine Like Objects from Raw Sonar ImagesPaul Hollesen, Warren A. Connors, Thomas P. Trappenberg. ai 2011: 174-185 [doi]

Clustering and Classification of Music by Interval CategoriesAline K. Honingh, Rens Bod. mcm2 2011: 346-349 [doi]

Sparse approximated nearest points for image set classificationYiqun Hu, Ajmal S. Mian, Robyn A. Owens. cvpr 2011: 121-128 [doi]

A hybrid particle swarm optimization approach for clustering and classification of datasetsKuang Yu Huang. kbs, 24(3):420-426, 2011. [doi]

Classification of EEG in A Steady State Visual Evoked Potential Based Brain Computer Interface ExperimentZafer Iscan, Özen Özkaya, Zümray Dokur. icannga 2011: 81-88 [doi]

Classification of electroencephalogram signals with combined time and frequency featuresZafer Iscan, Zümray Dokur, Tamer Demiralp. eswa, 38(8):10499-10505, 2011. [doi]

Maximum Evidence Method for classification of brain tissues in MRIRoberto A. Isoardi, Damian E. Oliva, Germán Mato. prl, 32(1):12-18, 2011. [doi]

Classification of the family AT4(qs, q, q) of antipodal tight graphsAleksandar Jurisic, Jack H. Koolen. JCT, 118(3):842-852, 2011. [doi]

Online feature selection and classificationHabil Kalkan, Bayram Cetisli. icassp 2011: 2124-2127 [doi]

Using residual vector quantization for image content classificationSyed Irteza Ali Khan, Christopher F. Barnes. icassp 2011: 1041-1044 [doi]

An empirical evaluation on dimensionality reduction schemes for dissimilarity-based classificationsSang-Woon Kim. prl, 32(6):816-823, 2011. [doi]

Extracting Product Descriptions from Polish E-Commerce Websites Using Classification and ClusteringPiotr Kolaczkowski, Piotr Gawrysiak. ismis 2011: 456-464 [doi]

A New Method of EEG Classification for BCI with Feature Extraction Based on Higher Order Statistics of Wavelet Components and Selection with Genetic AlgorithmsMarcin Kolodziej, Andrzej Majkowski, Remigiusz J. Rak. icannga 2011: 280-289 [doi]

A Hybrid Approach for ECG Classification Based on Particle Swarm Optimization and Support Vector MachineDawid Kopiec, Jerzy Martyna. HAIS 2011: 329-337 [doi]

A random subspace method that uses different instead of similar models for regression and classification problemsSotiris B. Kotsiantis. ijids, 3(2):173-188, 2011. [doi]

A Boosting Approach to Multiview Classification with CooperationSokol Koço, Cécile Capponi. pkdd 2011: 209-228 [doi]

A Beta-Mixture Model for Dimensionality Reduction, Sample Classification and AnalysisKirsti Laurila, Bodil Oster, Claus L. Andersen, Philippe Lamy, Torben F. Ørntoft, Olli Yli-Harja, Carsten Wiuf. bmcbi, 12:215, 2011. [doi]

Gene selection and sample classification on microarray data based on adaptive genetic algorithm/k-nearest neighbor methodChien-Pang Lee, Wen-Shin Lin, Yuh-Min Chen, Bo-Jein Kuo. eswa, 38(5):4661-4667, 2011. [doi]

Data-driven fMRI group classification using connected components and Gaussian process classifiersSarah Lee, Fernando Zelaya, Yohan Samarasinghe, Stephanie A. Amiel, Michael J. Brammer. icassp 2011: 717-720 [doi]

A New Efficient and Effective Fuzzy Modeling Method for Binary ClassificationT. Warren Liao. ijfsa, 1(1):17-35, 2011. [doi]

Spherical Nearest Neighbor Classification: Application to Hyperspectral DataDalton Lunga, Okan Ersoy. mldm 2011: 170-184 [doi]

Unsupervised Classification of Hyperspectral Images on Spherical ManifoldsDalton Lunga, Okan Ersoy. incdm 2011: 134-146 [doi]

Single pass text classification by direct feature weightingHassan H. Malik, Dmitriy Fradkin, Fabian Mörchen. kais, 28(1):79-98, 2011. [doi]

Classification of Large microarray Datasets Using Fast Random Forest ConstructionElena A. Manilich, Z. Meral Özsoyoglu, Valeriy Trubachev, Tomas Radivoyevitch. jbcb, 9(2):251-267, 2011. [doi]

WBCD breast cancer database classification applying artificial metaplasticity neural networkAlexis Marcano-Cedeño, Joel Quintanilla-Domínguez, Diego Andina. eswa, 38(8):9573-9579, 2011. [doi]

An Improvement of Dissimilarity-Based Classifications Using SIFT AlgorithmEvensen E. Masaki, Sang-Woon Kim. premi 2011: 74-79 [doi]

Learning Boolean functions in AC:::0::: on attribute and classification noise - Estimating an upper bound on attribute and classification noiseAkinobu Miyata, Jun Tarui, Etsuji Tomita. TCS, 412(35):4650-4660, 2011. [doi]

Hierarchical audio classification using cepstral modulation ratio regressions based on Legendre polynomialsAnil M. Nagathil, Peter Gottel, Rainer Martin. icassp 2011: 2216-2219 [doi]

Improving Subtree-Based Question Classification Classifiers with Word-Cluster ModelsMinh Le Nguyen, Akira Shimazu. nldb 2011: 76-87 [doi]

Comparison of metrics for feature selection in imbalanced text classificationHiroshi Ogura, Hiromi Amano, Masato Kondo. eswa, 38(5):4978-4989, 2011. [doi]

GME Estimation of Spatial Structural Equations ModelsRosa Bernardini Papalia, Enrico Ciavolino. classification, 28(1):126-141, 2011. [doi]

Improved Gini-Index Algorithm to Correct Feature-Selection Bias in Text ClassificationHeum Park, Hyuk-Chul Kwon. ieicet, 94-D(4):855-865, 2011. [doi]

One Class Classification for Anomaly Detection: Support Vector Data Description RevisitedEric J. Pauwels, Onkar Ambekar. incdm 2011: 25-39 [doi]

Evaluating Reliability of Single Classifications of Neural NetworksDarko Pevec, Erik Strumbelj, Igor Kononenko. icannga 2011: 22-30 [doi]

A meta-heuristic approach for improving the accuracy in some classification algorithmsHuy Nguyen Anh Pham, Evangelos Triantaphyllou. cor, 38(1):174-189, 2011. [doi]

Classification of software patches: a text mining approachUzma Raja, Marietta J. Tretter. SMR, 23(2):69-87, 2011. [doi]

Temporal data classification using linear classifiersPeter Z. Revesz, Thomas Triplet. is, 36(1):30-41, 2011. [doi]

Feature selection strategies for automated classification of digital media contentRocío Rocha, Angel Cobo. jis, 37(4):418-428, 2011. [doi]

Development of an automatic Classification Scheme for Disease-related Enzyme InformationCarola Söhngen, Antje Chang, Dietmar Schomburg. bmcbi, 12:329, 2011. [doi]

Land Cover Classification of Cloud-Contaminated Multitemporal High-Resolution ImagesArnt-Børre Salberg. tgrs, 49(1-2):377-387, 2011. [doi]

Fast Learning Fully Complex-Valued Classifiers for Real-Valued Classification ProblemsRamaswamy Savitha, Sundaram Suresh, N. Sundararajan, H.-J. Kim. isnn 2011: 602-609 [doi]

Learning classifier systems to evolve classification rules for systems of memory constrained componentsAlexander Scheidler, Martin Middendorf. evi, 4(3):127-143, 2011. [doi]

The ROC manifold for classification systemsChristine M. Schubert, Steven N. Thorsen, Mark E. Oxley. PR, 44(2):350-362, 2011. [doi]

The Factorial Minimum Spanning Tree as a Reference for a Synthetic Index of Complex PhenomenaSergio Scippacercola. classification, 28(1):21-37, 2011. [doi]

Noncoherent Maximum Likelihood Classification of Quadrature Amplitude Modulation Constellations: Simplification, Analysis, and ExtensionQinghua Shi, Y. Karasawa. TWC, 10(4):1312-1322, 2011. [doi]

Correlation-based classification of heartbeats for individual identificationYogendra Narain Singh, Phalguni Gupta. soco, 15(3):449-460, 2011. [doi]

Classification of Ultrasound Medical Images Using Distance Based Feature Selection and Fuzzy-SVMAbu Sayeed Md. Sohail, Prabir Bhattacharya, Sudhir P. Mudur, Srinivasan Krishnamurthy. ibpria 2011: 176-183 [doi]

Response to Comments on Bayesian variable selection for disease classification using gene expression data Xin-Yuan Song, Zhao-Hua Lu. bioinformatics, 27(15):2169-2170, 2011. [doi]

Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data ClassificationJ. S. Sánchez, Vicente García, Ramón Alberto Mollineda. mldm 2011: 511-523 [doi]

Weighted SCL model for adaptation of sentiment classificationSongbo Tan, Yuefen Wang. eswa, 38(8):10524-10531, 2011. [doi]

Multiclass classification of microarray data samples with a reduced number of genesElizabeth Tapia, Leonardo Ornella, Pilar Bulacio, Laura Angelone. bmcbi, 12:59, 2011. [doi]

Alzheimer Disease Classification on Diffusion Weighted Imaging FeaturesM. Termenon, A. Besga, J. Echeveste, A. Gonzalez-Pinto, M. Graña. iwinac 2011: 120-127 [doi]

Using Chemical Structural Indicators for Periodic Classification of Local AnaestheticsFrancisco Torrens, Gloria Castellano. ijcce, 1(2):15-35, 2011. [doi]

Human-guided fuzzy decision for image similarity analysis and classification based on information compressionGancho Vachkov. ijis, 26(3):246-261, 2011. [doi]

Hybrid ensemble approach for classificationBrijesh Verma, Syed Zahid Hassan. apin, 34(2):258-278, 2011. [doi]

A Rule-Based Natural Language Technique for Requirements Discovery and Classification in Open-Source Software Development ProjectsRadu Vlas, William N. Robinson. hicss 2011: 1-10 [doi]

Classification and Modelling of Web TechnologiesMark Wallis, Frans Henskens, Michael Hannaford. webist 2011: 151-156

Enterprise Email Classification Based on Social Network FeaturesMin-Feng Wang, Sie-Long Jheng, Meng-Feng Tsai, Cheng-Hsien Tang. asunam 2011: 532-536 [doi]

Audio recognition in the wild: Static and dynamic classification on a real-world database of animal vocalizationsFelix Weninger, Björn Schuller. icassp 2011: 337-340 [doi]

Ensemble learning algorithms for classification of mtDNA into haplogroupsCarol Wong, Yuran Li, Chih Lee, Chun-Hsi Huang. bib, 12(1):1-9, 2011. [doi]

A TS-Type Maximizing-Discriminability-Based Recurrent Fuzzy Network for Classification ProblemsGin-Der Wu, Zhen-Wei Zhu, Pang-Hsuan Huang. tfs, 19(2):339-352, 2011. [doi]

An Asymmetric Adaptive Classification MethodLianwen Wu, QianSheng Cheng. ijwmip, 9(1):169-179, 2011. [doi]

Multi-Scale Multi-Level Generative Model in Scene ClassificationWenjie Xie, De Xu, Yingjun Tang, Geng Cui. ieicet, 94-D(1):167-170, 2011. [doi]

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