6. HAIS 2012: Salamanca, Spain

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
  
• Anca Gog, Camelia Chira:
  Dynamics of Networks Evolved for Cellular Automata Computation. 359-368
  
• 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
  
• Josu Maiora, Manuel Graña:
  A Hybrid Segmentation of Abdominal CT Images. 416-423
  
• Miguel Angel Veganzones, Manuel Graña:
  Hybrid Computational Methods for Hyperspectral Image Analysis. 424-435
  
• Ion Marqués, Manuel Graña:
  Image Security and Biometrics: A Review. 436-447
  
• 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
  
• Bartosz Krawczyk, Michal Wozniak:
  Combining Diverse One-Class Classifiers. 590-601
  

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