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ORCID19th IDEAL 2018: Madrid, Spain
- Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11314, Springer 2018, ISBN 978-3-030-03492-4 - Figlu Mohanty, Suvendu Rup
, Bodhisattva Dash:
Compound Local Binary Pattern and Enhanced Jaya Optimized Extreme Learning Machine for Digital Mammogram Classification. 1-8 - Katleho Moloi, Jaco A. Jordaan, Yskandar Hamam:
Support Vector Machine Based Method for High Impedance Fault Diagnosis in Power Distribution Networks. 9-16 - Hisashi Koga, Satoshi Suzuki, Taiki Itabashi, Gibran Fuentes Pineda, Takahisa Toda:
Extended Min-Hash Focusing on Intersection Cardinality. 17-26 - Félix Fuentes-Hurtado, Sandra Morales, José Manuel Mossi, Valery Naranjo, Vadim Fedulov, David Woldbye, Kristian Klemp, Marie Torm, Michael Larsen:
Deep-Learning-Based Classification of Rat OCT Images After Intravitreal Injection of ET-1 for Glaucoma Understanding. 27-34 - Félix Fuentes-Hurtado, Jose Antonio Diego-Mas, Valery Naranjo, Mariano Alcañiz:
Finding the Importance of Facial Features in Social Trait Perception. 35-45 - Hela Maddar, Wafa Kammoun, Habib Youssef:
Effective Centralized Trust Management Model for Internet of Things. 46-57 - Krzysztof Michalak:
Knowledge-Based Solution Construction for Evolutionary Minimization of Systemic Risk. 58-68 - Papangkorn Inkeaw, Jakramate Bootkrajang, Teresa Gonçalves, Jeerayut Chaijaruwanich:
Handwritten Character Recognition Using Active Semi-supervised Learning. 69-78 - Iztok Fister Jr., Andrés Iglesias, Akemi Gálvez, Javier Del Ser, Eneko Osaba, Iztok Fister:
Differential Evolution for Association Rule Mining Using Categorical and Numerical Attributes. 79-88 - Jaume Manero, Javier Béjar, Ulises Cortés:
Predicting Wind Energy Generation with Recurrent Neural Networks. 89-98 - Marius Andrei Ciurez, Marian Cristian Mihaescu:
Improved Architectural Redesign of MTree Clusterer in the Context of Image Segmentation. 99-106 - Fei Wang, Robert J. Ross, John D. Kelleher:
Exploring Online Novelty Detection Using First Story Detection Models. 107-116 - Irene Córdoba, Gherardo Varando, Concha Bielza, Pedro Larrañaga:
A Fast Metropolis-Hastings Method for Generating Random Correlation Matrices. 117-124 - Juan Antonio Gómez Pulido, Enrique Cortés-Toro, Arturo Durán-Domínguez, Broderick Crawford, Ricardo Soto:
Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus. 125-133 - Sinan Zhu, Caiyan Jia:
General Structure Preserving Network Embedding. 134-146 - M. M. Manjurul Islam, Alexander E. Prosvirin, Jong-Myon Kim:
Intelligent Rub-Impact Fault Diagnosis Based on Genetic Algorithm-Based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models. 147-155 - Marie Kiermeier, Sebastian Feld, Thomy Phan, Claudia Linnhoff-Popien:
Anomaly Detection in Spatial Layer Models of Autonomous Agents. 156-163 - Cristiana Silva, Adrián Colomer, Valery Naranjo:
Deep Learning-Based Approach for the Semantic Segmentation of Bright Retinal Damage. 164-173 - Joana Pereira, Adrián Colomer, Valery Naranjo:
Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images. 174-183 - Barbara Bobowska, Dariusz Jankowski:
MapReduce Model for Random Forest Algorithm: Experimental Studies. 184-194 - Artem Lobantsev, Aleksandra Vatian, Natalia V. Dobrenko, Andrey Stankevich, Anna Kaznacheeva, Vladimir Parfenov, Anatoly Shalyto, Natalia F. Gusarova:
Specifics Analysis of Medical Communities in Social Network Services. 195-203 - Carlo Blundo, Stelvio Cimato, Luisa Siniscalchi:
PostProcessing in Constrained Role Mining. 204-214 - Sattam Almatarneh, Pablo Gamallo:
Linguistic Features to Identify Extreme Opinions: An Empirical Study. 215-223 - Andres Diaz-Pinto, Adrián Colomer, Valery Naranjo, Sandra Morales, Yanwu Xu, Alejandro F. Frangi:
Retinal Image Synthesis for Glaucoma Assessment Using DCGAN and VAE Models. 224-232 - Alya Itani, Laurent Brisson, Serge Garlatti:
Understanding Learner's Drop-Out in MOOCs. 233-244 - Jaime Salvador-Meneses, Zoila Ruiz-Chavez, José García Rodríguez:
Categorical Big Data Processing. 245-252 - Anton Agafonov, Alexander Yumaganov:
Spatial-Temporal K Nearest Neighbors Model on MapReduce for Traffic Flow Prediction. 253-260 - Paul-Stefan Popescu, Costel Ionascu, Marian Cristian Mihaescu:
Exploring the Perceived Usefulness and Attitude Towards Using Tesys e-Learning Platform. 261-268 - Chinmayee Dora, Pradyut Kumar Biswal:
An ELM Based Regression Model for ECG Artifact Minimization from Single Channel EEG. 269-276 - Eduardo C. Garrido-Merchán, Alejandro Albarca-Molina:
Suggesting Cooking Recipes Through Simulation and Bayesian Optimization. 277-284 - Fabian Kai-Dietrich Noering, Konstantin Jonas, Frank Klawonn:
Assessment and Adaption of Pattern Discovery Approaches for Time Series Under the Requirement of Time Warping. 285-296 - Zoila Ruiz-Chavez, Jaime Salvador-Meneses, José García Rodríguez:
Machine Learning Methods Based Preprocessing to Improve Categorical Data Classification. 297-304 - Krzysztof Michalak:
Crossover Operator Using Knowledge Transfer for the Firefighter Problem. 305-316 - Andrei Martins Silva, Fernando Henrique da Silva Costa, Alexandra Katiuska Ramos Diaz, Sarajane Marques Peres:
Exploring Coclustering for Serendipity Improvement in Content-Based Recommendation. 317-327 - Smiljana Petrovic, Ivan Petrovic, Ileana Palesi, Anthony J. Calise:
Weighted Voting and Meta-Learning for Combining Authorship Attribution Methods. 328-335 - Worapol Alex Pongpech:
On Application of Learning to Rank for Assets Management: Warehouses Ranking. 336-343 - Peter Drotár, Peter Gnip, Martin Zoricak, Vladimír Gazda:
Single-Class Bankruptcy Prediction Based on the Data from Annual Reports. 344-353 - Santiago Gil-Begue, Pedro Larrañaga, Concha Bielza:
Multi-dimensional Bayesian Network Classifier Trees. 354-363 - Alejandro Baldominos, Yago Saez, Pedro Isasi:
Model Selection in Committees of Evolved Convolutional Neural Networks Using Genetic Algorithms. 364-373 - Francisco Supino Marcondes, José João Almeida, Paulo Novais:
Chatbot Theory - A Naïve and Elementary Theory for Dialogue Management. 374-384 - Zirije Hasani, Boro Jakimovski, Goran Velinov, Margita Kon-Popovska:
An Adaptive Anomaly Detection Algorithm for Periodic Data Streams. 385-397 - Hao Zhang, Jie Wang:
Semantic WordRank: Generating Finer Single-Document Summarizations. 398-409 - Miguel A. Becerra, C. Duque-Mejía, C. Zapata-Hernández, Diego Hernán Peluffo-Ordóñez, L. Serna-Guarín, Edilson Delgado-Trejos, Edgardo Javier Revelo-Fuelagán, X. P. Blanco-Valencia:
Exploratory Study of the Effects of Cardiac Murmurs on Electrocardiographic-Signal-Based Biometric Systems. 410-418 - Xiaowei Kortum, Lorenz Grigull, Urs Muecke, Werner Lechner, Frank Klawonn:
Improving the Decision Support in Diagnostic Systems Using Classifier Probability Calibration. 419-428 - Minh Nguyen, Doina Logofatu:
Applying Tree Ensemble to Detect Anomalies in Real-World Water Composition Dataset. 429-438 - Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus:
A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders. 439-447 - Daniel Trujillo Viedma, Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, María José del Jesus Díaz:
An Approximation to Deep Learning Touristic-Related Time Series Forecasting. 448-456 - Wonsup Shin, Sung-Bae Cho:
CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection Using Generative Adversarial Network. 457-467 - Seok-Jun Bu, Sung-Bae Cho:
Learning Optimal Q-Function Using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency. 468-480 - Tae-Young Kim, Sung-Bae Cho:
Predicting the Household Power Consumption Using CNN-LSTM Hybrid Networks. 481-490 - Jaime Pérez, Sergio Pérez, José Manuel Moya, Patricia Arroba:
Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks. 491-498 - Jin-Young Kim, Sung-Bae Cho:
Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model. 499-507 - Stefan Meyer, Olivier J. N. Bertrand, Martin Egelhaaf, Barbara Hammer:
Inferring Temporal Structure from Predictability in Bumblebee Learning Flight. 508-519 - Jaime Andres Rincon, Ângelo Costa, Paulo Novais, Vicente Julián, Carlos Carrascosa:
Intelligent Wristbands for the Automatic Detection of Emotional States for the Elderly. 520-530 - Roberto Blanco, Juan J. Cilla, Samira Briongos, Pedro Malagón, José Manuel Moya:
Applying Cost-Sensitive Classifiers with Reinforcement Learning to IDS. 531-538 - Roongtawan Laimek, Natsuda Kaothanthong, Thepchai Supnithi:
ATM Fraud Detection Using Outlier Detection. 539-547 - Pedro Oliveira da Silva, Adriano Rivolli, Pedro Rocha, Francisco Correia, Carlos Soares:
Machine Learning for Drugs Prescription. 548-555 - Roja Ahmadi, Robert D. Macredie, Allan Tucker:
Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets. 556-566 - Carlotta Orsenigo, Carlo Vercellis, Claudia Volpetti:
Concatenating or Averaging? Hybrid Sentences Representations for Sentiment Analysis. 567-575 - Hasan Ogul:
ALoT: A Time-Series Similarity Measure Based on Alignment of Textures. 576-585 - Michal Pawlak, Aneta Poniszewska-Maranda, Jakub Guziur:
Intelligent Agents in a Blockchain-Based Electronic Voting System. 586-593 - Nadia Masood Khan, Gul Muhammad Khan:
Signal Reconstruction Using Evolvable Recurrent Neural Networks. 594-602 - Kemilly Dearo Garcia, André C. P. L. F. de Carvalho, João Mendes-Moreira:
A Cluster-Based Prototype Reduction for Online Classification. 603-610 - Reuben Borrison, Benjamin Klöpper, Moncef Chioua, Marcel Dix, Barbara Sprick:
Reusable Big Data System for Industrial Data Mining - A Case Study on Anomaly Detection in Chemical Plants. 611-622 - Paulo Barbosa, Kemilly Dearo Garcia, João Mendes-Moreira, André C. P. L. F. de Carvalho:
Unsupervised Domain Adaptation for Human Activity Recognition. 623-630 - Miroslaw Kordos, Lukasz Czepielik, Marcin Blachnik:
Data Set Partitioning in Evolutionary Instance Selection. 631-641 - José Gabriel García, Adrián Colomer, Valery Naranjo, Francisco Peñaranda, María Á. Sales:
Identification of Individual Glandular Regions Using LCWT and Machine Learning Techniques. 642-650 - Marek Lóderer, Peter Pavlík, Viera Rozinajová:
Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning. 651-660 - Jose Alejandro Salazar-Castro, D. F. Peña-Unigarro, Cielo K. Basante-Villota, C. Ortega, Lilian Dayana Cruz-Cruz, Edgardo Javier Revelo-Fuelagán, X. P. Blanco-Valencia, Germán Castellanos-Domínguez, Diego Hernán Peluffo-Ordóñez:
Generalized Low-Computational Cost Laplacian Eigenmaps. 661-669 - Átilla N. Maia, Madson Luiz Dantas Dias, João P. P. Gomes, Ajalmar R. da Rocha Neto:
Optimally Selected Minimal Learning Machine. 670-678 - Li Ji, Guangyan Lin, Huobin Tan:
Neural Collaborative Filtering: Hybrid Recommendation Algorithm with Content Information and Implicit Feedback. 679-688 - Pattaramon Vuttipittayamongkol, Eyad Elyan, Andrei Petrovski, Chrisina Jayne:
Overlap-Based Undersampling for Improving Imbalanced Data Classification. 689-697 - Michela Fazzolari, Marinella Petrocchi, Angelo Spognardi:
Predicting Online Review Scores Across Reviewer Categories. 698-710 - Abel S. Zacarias, Luís A. Alexandre:
Improving SeNA-CNN by Automating Task Recognition. 711-721 - Álvaro Pardo Pertierra, Ana B. Gil González, Javier Teira Lafuente, Ana de Luis-Reboredo:
Communication Skills Personal Trainer Based on Viola-Jones Object Detection Algorithm. 722-729 - Diogo Duque, José Aleixo Cruz, Henrique Lopes Cardoso, Eugénio Oliveira:
Optimizing Meta-heuristics for the Time-Dependent TSP Applied to Air Travels. 730-739 - Tsung-Yu Hsieh, Yasser El-Manzalawy, Yiwei Sun, Vasant G. Honavar:
Compositional Stochastic Average Gradient for Machine Learning and Related Applications. 740-752 - Yassine Baghoussi, João Mendes-Moreira:
Instance-Based Stacked Generalization for Transfer Learning. 753-760 - Pawel Ksieniewicz:
Combined Classifier Based on Quantized Subspace Class Distribution. 761-772 - Guilherme Aguiar, Patricia Vilain:
A Framework for Form Applications that Use Machine Learning. 773-782 - Enrique González Rodrigo, Juan A. Aledo, José A. Gámez:
CGLAD: Using GLAD in Crowdsourced Large Datasets. 783-791 - Hoang Long Nguyen, Jason J. Jung:
Extending Independent Component Analysis for Event Detection on Online Social Media. 792-800 - Julián Fernando Muñoz-Ordóñez, Carlos Cobos, Martha Mendoza, Enrique Herrera-Viedma, Francisco Herrera, Siham Tabik:
Framework for the Training of Deep Neural Networks in TensorFlow Using Metaheuristics. 801-811 - Rodrigo Naranjo, Matilde Santos:
New Fuzzy Singleton Distance Measurement by Convolution. 812-820 - Radu AbuRas, Gabriel Turcu, Ilkka Kosunen, Marian Cristian Mihaescu:
Peak Alpha Based Neurofeedback Training Within Survival Shooter Game. 821-828 - Oana Maria Teodorescu, Paul-Stefan Popescu, Marian Cristian Mihaescu:
Taking e-Assessment Quizzes - A Case Study with an SVD Based Recommender System. 829-837 - Richard Hankins, Yao Peng, Hujun Yin:
Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks. 838-848 - Yao Peng, Menyu Liu, Hujun Yin:
Deep Neural Networks with Markov Random Field Models for Image Classification. 849-859
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last updated on 2024-11-08 20:18 CET by the dblp team
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