6. HAIS 2012: Salamanca, Spain
Emilio Corchado, Václav Snásel, Ajith Abraham, Michal Wozniak, Manuel Graña, Sung-Bae Cho (Eds.): Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part II. Springer 2012 Lecture Notes in Computer Science ISBN 978-3-642-28930-9
Special Sessions
- Gjorgji Madjarov, Dejan Gjorgjevikj: Hybrid Decision Tree Architecture Utilizing Local SVMs for Multi-Label Classification. 1-12
- Shina Sheen, S. V. Aishwarya, R. Anitha, S. V. Raghavan, S. M. Bhaskar: Ensemble Pruning Using Harmony Search. 13-24
- José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera: A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees. 25-35
- Miroslaw Kordos, Piotr Kania, Pawel Budzyna, Marcin Blachnik, Tadeusz Wieczorek, Slawomir Golak: Combining the Advantages of Neural Networks and Decision Trees for Regression Problems in a Steel Temperature Prediction System. 36-45
- Tomasz Kajdanowicz, Slawomir Plamowski, Przemyslaw Kazienko, Wojciech Indyk: Transfer Learning Approach to Debt Portfolio Appraisal. 46-55
- Henrietta Toman, Laszlo Kovacs, Agnes Jonas, Lajos Hajdu, András Hajdu: Generalized Weighted Majority Voting with an Application to Algorithms Having Spatial Output. 56-67
- Maciej Grzenda: Towards the Reduction of Data Used for the Classification of Network Flows. 68-77
- Ángel Martín del Rey, Gerardo Rodríguez Sánchez, A. de la Villa Cuenca: Encrypting Digital Images Using Cellular Automata. 78-88
- Zorana Bankovic, David Fraga, Juan Carlos Vallejo, José Manuel Moya: Self-Organizing Maps versus Growing Neural Gas in Detecting Data Outliers for Security Applications. 89-96
- Rafael Álvarez, Francisco Martínez, José-Francisco Vicent, Antonio Zamora: Cryptographic Applications of 3x3 Block Upper Triangular Matrices. 97-104
- Ruben Vázquez-Medina, José Luis Del-Río-Correa, César Enrique Rojas-López, José Alejandro Díaz-Méndez: Digital Chaotic Noise Using Tent Map without Scaling and Discretization Process. 105-115
- Nenad Tomasev, Dunja Mladenic: Hubness-Aware Shared Neighbor Distances for High-Dimensional k-Nearest Neighbor Classification. 116-127
- Rubén Jaramillo-Vacio, Alberto Ochoa-Zezzatti, Armando Rios-Lira: Comparison of Competitive Learning for SOM Used in Classification of Partial Discharge. 128-138
- Krystyna Napierala, Jerzy Stefanowski: Identification of Different Types of Minority Class Examples in Imbalanced Data. 139-150
- Ana M. Martínez, Geoffrey I. Webb, M. Julia Flores, José A. Gámez: Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers. 151-162
- Stefanos Ougiaroglou, Georgios Evangelidis, Dimitrios Dervos: An Adaptive Hybrid and Cluster-Based Model for Speeding Up the k-NN Classifier. 163-175
- Joaquín Derrac, Isaac Triguero, Salvador García, Francisco Herrera: A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection. 176-187
- Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesús, Francisco Herrera: Improving Multi-label Classifiers via Label Reduction with Association Rules. 188-199
- Olgierd Unold, Maciej Dobrowolski, Henryk Maciejewski, Pawel Skrobanek, Ewa Walkowicz: A GA-Based Wrapper Feature Selection for Animal Breeding Data Mining. 200-209
- Stefanos Ougiaroglou, Georgios Evangelidis: A Simple Noise-Tolerant Abstraction Algorithm for Fast k-NN Classification. 210-221
- Balázs Lénárt, Katarzyna Grzybowska, Mónika Cimer: Adaptive Inventory Control in Production Systems. 222-228
- Izabela Rojek, Mieczyslaw Jagodzinski: Hybrid Artificial Intelligence System in Constraint Based Scheduling of Integrated Manufacturing ERP Systems. 229-240
- Edward Chlebus, Kamil Krot, Michal Kuliberda, Boleslaw Jodkowski: Intelligent Data Processing in Recycling of Household Appliances. 241-249
- Anna Burduk: Assessment of Risk in a Production System with the Use of the FMEA Analysis and Linguistic Variables. 250-258
- Arkadiusz Kowalski, Tomasz Marut: Hybrid Methods Aiding Organisational and Technological Production Preparation Using Simulation Models of Nonlinear Production Systems. 259-266
- Tomasz Chlebus, Pawel Stefaniak: The Concept of Intelligent System for Horizontal Transport in a Copper Ore Mine. 267-273
- Damian Krenczyk, Krzysztof Kalinowski, Cezary Grabowik: Integration Production Planning and Scheduling Systems for Determination of Transitional Phases in Repetitive Production. 274-283
- Cezary Grabowik, Damian Krenczyk, Krzysztof Kalinowski: The Hybrid Method of Knowledge Representation in a CAPP Knowledge Based System. 284-295
- Pedro Antonio Gutiérrez, M. Pérez-Ortiz, Francisco Fernández-Navarro, Javier Sánchez-Monedero, César Hervás-Martínez: An Experimental Study of Different Ordinal Regression Methods and Measures. 296-307
- F. Fernández-Navarro, Huanhuan Chen, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao: Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology. 308-318
- M. Dorado-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez: Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions. 319-330
- Petrica C. Pop, Oliviu Matei: A Genetic Programming Approach for Solving the Linear Ordering Problem. 331-338
- Enrique A. de la Cal, José Ramón Villar, Marco Antonio García Tamargo, Javier Sedano: Comparison of Fuzzy Functions for Low Quality Data GAP Algorithms. 339-349
- Rodica Ioana Lung, Lucian Sturzu-Nastase: A Simple Artificial Chemistry Model for Nash Equilibria Detection in Large Cournot Games. 350-358
- Marco Pota, Massimo Esposito, Giuseppe De Pietro: From Likelihood Uncertainty to Fuzziness: A Possibility-Based Approach for Building Clinical DSSs. 369-380
- Maria Belén Vaquerizo García, Bruno Baruque, Emilio Corchado: Combining Metaheuristic Algorithms to Solve a Scheduling Problem. 381-391
- Izaro Goienetxea, Iñigo Barandiaran, Carlos Jauquicoa, Gregory Maclair, Manuel Graña: Image Analysis Pipeline for Automatic Karyotyping. 392-403
- Ramón Moreno, Manuel Graña: A Hybrid Gradient for n-Dimensional Images through Hyperspherical Coordinates. 404-415
- Miguel Angel Veganzones, Manuel Graña: Hybrid Computational Methods for Hyperspectral Image Analysis. 424-435
- M. Termenon, Manuel Graña, Alfonso Barrós-Loscertales, J. C. Bustamante, César Ávila: Cocaine Dependent Classification Using Brain Magnetic Resonance Imaging. 448-454
- Jorge García-Gutiérrez, Daniel Mateos-García, José Cristóbal Riquelme Santos: A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion. 455-466
- Marcos Eduardo Valle, Peter Sussner, Estevão Laureano Esmi: Spherical CIELab QAMs: Associative Memories Based on the CIELab System and Quantales for the Storage of Color Images. 467-478
- Estevão Laureano Esmi, Peter Sussner, Marcos Eduardo Valle, Fábio Sakuray, Laécio Barros: Fuzzy Associative Memories Based on Subsethood and Similarity Measures with Applications to Speaker Identification. 479-490
- Gerhard X. Ritter, Darya Chyzhyk, Gonzalo Urcid, Manuel Graña: A Novel Lattice Associative Memory Based on Dendritic Computing. 491-502
- Iván Macía, Manuel Graña: Vascular Section Estimation in Medical Images Using Combined Feature Detection and Evolutionary Optimization. 503-513
Workshop
- Krystyna Napierala, Jerzy Stefanowski: Modifications of Classification Strategies in Rule Set Based Bagging for Imbalanced Data. 514-525
- Zahra Ahmadi, Hamid Beigy: Semi-supervised Ensemble Learning of Data Streams in the Presence of Concept Drift. 526-537
- Marcel Hanke, Klemens Muthmann, Daniel Schuster, Alexander Schill, Kamil Aliyev, Michael Berger: Continuous User Feedback Learning for Data Capture from Business Documents. 538-549
- Konrad Jackowski: Evolutionary Adapted Ensemble for Reoccurring Context. 550-557
- Piotr Cal, Michal Wozniak: Drift Detection and Model Selection Algorithms: Concept and Experimental Evaluation. 558-568
- Robert Burduk, Marcin Zmyslony: Decomposition of Classification Task with Selection of Classifiers on the Medical Diagnosis Example. 569-577
- Boguslaw Cyganek: Ensemble of Tensor Classifiers Based on the Higher-Order Singular Value Decomposition. 578-589
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last updated on 2013-06-18T211851 by the dblp team