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ORCID6. HAIS 2012: Salamanca, Spain
- Emilio Corchado, Václav Snásel, Ajith Abraham, Michal Wozniak, Manuel Graña, Sung-Bae Cho:
Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part II. Lecture Notes in Computer Science 7209, Springer 2012, 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 Tomán, 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 Jesus, 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 - Francisco 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 - Manuel 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 - Maite Termenon, Manuel Graña, Alfonso Barrós-Loscertales, Juan Carlos 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 C. 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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