IDEAL 2018: 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING

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Abu-Ras, Mohamed Ata Radu	Peak Alpha Based Neurofeedback Training within Survival Shooter Game
Adla, Abdelkader	EMnGA : Entropy Measure and Genetic Algorithms Based Method for Heterogeneous Ensembles Selection
Agafonov, Anton	Spatial-Temporal K Nearest Neighbors Model on MapReduce for Traffic Flow Prediction
Aguiar, Guilherme	A framework for form applications that use machine learning
Ahmadi, Roja	Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets
Albarca-Molina, Alejandro	Suggesting Cooking Recipes Through Simulation and Bayesian Optimization
Alcañiz, Mariano	Finding the Importance of Facial Features in Social Trait Perception
Aledo, Juan A.	CGLAD: using GLAD in crowdsourced large datasets
Aler, Ricardo	Studying the effect of measured solar power on evolutionary multi-objective prediction intervals
Alexandre, Luís	Improving SeNA-CNN by Automating Task Recognition
Almatarneh, Sattam	Linguistic Features to Identify Extreme Opinions: An Empirical Study
Almeida, Jose Joao	Chatbot Theory: A Naı̈ve and Elementary Theory for Dialogue Management
Arroba, Patricia	Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks
Atzmueller, Martin	Introductory talk: Computational Sensemaking in Industry 4.0: From Analysis to Interpretation Mining Attributed Interaction Networks on Industrial Event Logs
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Baghoussi, Yassine	Instance-based stacked generalization for transfer learning
Baldominos, Alejandro	Model Selection in Committees of Evolved Convolutional Neural Networks using Genetic Algorithms
Banković, Zorana	Different Approaches of Data and Attribute Selection on Headache Disorder
Barbosa, Paulo	Unsupervised Domain Adaptation for Human Activity Recognition
Barhamgi, Mahmoud	ONTOLOGY USES FOR RADICALISATION DETECTION on Social Networks
Becerra Botero, Miguel Alberto	Exploratory study of the effects of cardiac murmurs on electrocardiographic-signal-based biometric systems
Beko, Marko	Bare Bones Fireworks Algorithm for Medical Image Compression
Bello Orgaz, Gema	An Artificial Bee Colony algorithm for optimizing the design of sensor networks
Benslimane, Djamal	ONTOLOGY USES FOR RADICALISATION DETECTION on Social Networks
Bertrand, Olivier	Inferring Temporal Structure from Predictability in Bumblebee Learning Flight
Bielza, Concha	Multi-Dimensional Bayesian Network Classifier Trees A fast Metropolis-Hastings method for generating random correlation matrices
Biswal, Pradyut Kumar	An ELM based Regression Model for ECG Artifact Minimization from Single Channel EEG
Blachnik, Marcin	Data Set Partitioning in Evolutionary Instance Selection
Blanco, Roberto	Applying cost-sensitive classifiers with reinforcement learning to IDS
Blanco Valencia, Xiomara Patricia	Exploratory study of the effects of cardiac murmurs on electrocardiographic-signal-based biometric systems Generalized low-computational cost Laplacian eigenmaps
Blundo, Carlo	PostProcessing in Constrained Role Mining
Bobek, Szymon	On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications Causal rules detection in streams of unlabeled, mixed type values with finit domains
Bobowska, Barbara	MapReduce model for Random Forest algorithm: experimental studies
Bootkrajang, Jakramate	Handwritten Character Recognition using Active Semi-Supervised Learning
Borrison, Reuben	Reusable Big Data System for Industrial Data Mining - A case study on Anomaly Detection in Chemical Plants
Bouyer, Asgarali	An Improved Fuzzy Logic Based Recommender System by Integrating Social Tags and Social Networks’ Information
Bovo, Riccardo	A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments
Briongos, Samira	Applying cost-sensitive classifiers with reinforcement learning to IDS
Brisson, Laurent	Understanding Learner's Drop-out in MOOCs
Brzychczy, Edyta	On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications Creation of an event log from machinery monitoring system on a selected example
Bu, Seok-Jun	Learning Optimal Q-function using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency
Béjar, Javier	Deep Learning applied to Wind Energy Forecasting
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Calikus, Ece	Monitoring Equipment Operation through Model and Event Discovery
Calise, Anthony	Weighted Voting and Meta-Learning for Combining Authorship Attribution Methods
Camacho, David	Introductory talk: Present and future perspectives on radicalization tracking Tutorial: Applying Machine Learning to detect Android Malware ONTOLOGY USES FOR RADICALISATION DETECTION on Social Networks Community Detection in Weighted Directed Networks using Nature-inspired Heuristics An Artificial Bee Colony algorithm for optimizing the design of sensor networks Design of Japanesse Tree Frog algorithm for Community Finding Problems
Carnero, Mercedes	An Artificial Bee Colony algorithm for optimizing the design of sensor networks
Carrascosa, Carlos	Intelligent wristbands for the automatic detection of emotional states for the elderly
Casanova-Mateo, Carlos	Merging ELMs with Satellite Data and Clear-sky models for Effective Solar Radiation Estimation
Castellanos Domínguez, César Germán	Generalized low-computational cost Laplacian eigenmaps
Catalina Feliu, Alejandro	Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction
Chaijaruwanich, Jeerayut	Handwritten Character Recognition using Active Semi-Supervised Learning
Charte, Francisco	An approximation to Deep Learning touristic-related time series forecasting A first approach to face dimensionality reduction through denoising autoencoders
Chioua, Moncef	Reusable Big Data System for Industrial Data Mining - A case study on Anomaly Detection in Chemical Plants
Cho, Sung-Bae	Learning Optimal Q-function using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model Predicting the Household Power Consumption using CNN- LSTM Hybrid Networks CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection using Generative Adversarial Network
Cilla Ugarte, Juan Jesus	Applying cost-sensitive classifiers with reinforcement learning to IDS
Cimato, Stelvio	PostProcessing in Constrained Role Mining
Ciurez, Marius Andrei	Improved Architectural Redesign of MTree Clusterer in the Context of Image Segmentation
Cobo, Manuel Jesús	Measuring the impact of the international relationships of the Andalusian universities using Dimensions database Constructing bibliometric networks from Spanish doctoral Theses A new approach for implicit citation extraction
Cobos, Carlos	Framework for the Training of Deep Neural Networks in TensorFlow using Metaheuristics
Colomer, Adrián	Deep Learning-based Approach for the Semantic Segmentation of Bright Retinal Damage Identification of individual glandular regions using LCWT and machine learning techniques Retinal Image Synthesis for Glaucoma Assessment using DCGAN and VAE Models Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images
Cornejo-Bueno, Laura	Merging ELMs with Satellite Data and Clear-sky models for Effective Solar Radiation Estimation
Correia, Francisco	Machine Learning for drugs prescription
Cortés, Enrique	Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
Cortés, Ulises	Deep Learning applied to Wind Energy Forecasting
Costa, Angelo	Intelligent wristbands for the automatic detection of emotional states for the elderly
Crawford, Broderick	Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
Cruz, José	Optimizing Meta-Heuristics for the Time-Dependent Traveling Salesman Problem Applied to Air Travels
Cruz Cruz, Lilian Dayana	Generalized low-computational cost Laplacian eigenmaps
Czepielik, Łukasz	Data Set Partitioning in Evolutionary Instance Selection
Córdoba, Irene	A fast Metropolis-Hastings method for generating random correlation matrices
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Da Silva Costa, Fernando Henrique	Exploring coclustering for serendipity improvement in content-based recommendation
Dash, Bodhisattva	Compound local binary pattern and enhanced Jaya optimized extreme learning machine for digital mammogram classication
de Carvalho, Andre	Unsupervised Domain Adaptation for Human Activity Recognition A cluster-based prototype reduction for online k-NN classification
De la Pompa, Víctor	Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction
de Luis Reboredo, Ana	Communication Skills Personal Trainer based on Viola-Jones object detection algorithm
Del Jesus, Maria Jose	An approximation to Deep Learning touristic-related time series forecasting A first approach to face dimensionality reduction through denoising autoencoders
Del Ser, Javier	Differential evolution for association rule mining using categorical and numerical attributes Community Detection in Weighted Directed Networks using Nature-inspired Heuristics Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode
Delgado-Trejos, Edilson	Exploratory study of the effects of cardiac murmurs on electrocardiographic-signal-based biometric systems
Dias, Madson	Optimally Selected Minimal Learning Machine
Diaz-Pinto, Andres	Retinal Image Synthesis for Glaucoma Assessment using DCGAN and VAE Models
Diego-Mas, Jose Antonio	Finding the Importance of Facial Features in Social Trait Perception
Dix, Marcel	Reusable Big Data System for Industrial Data Mining - A case study on Anomaly Detection in Chemical Plants
Dobrenko, Natalia	Specifics Analysis of Medical Communities in Social Network Services
Dodero, Juan Manuel	Evidence-based Systematic Literature Reviews in the Cloud
Dora, Chinmayee	An ELM based Regression Model for ECG Artifact Minimization from Single Channel EEG
Dorado-Moreno, Manuel	Wind power ramp events ordinal prediction using minimum complexity echo state networks
Dorronsoro, Jose	Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction
Drotár, Peter	Single-class bankruptcy prediction based on the data from annual reports
Duarte, Abraham	A metaheuristic approach for the α-separator problem
Duarte, Verónica	Constructing bibliometric networks from Spanish doctoral Theses
Duque, Carolina	Exploratory study of the effects of cardiac murmurs on electrocardiographic-signal-based biometric systems
Duque, Diogo	Optimizing Meta-Heuristics for the Time-Dependent Traveling Salesman Problem Applied to Air Travels
Durán Domínguez, Arturo	Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
Durán-Rosal, Antonio Manuel	Distribution-based discretisation and ordinal classification applied to wave height prediction
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Egelhaaf, Martin	Inferring Temporal Structure from Predictability in Bumblebee Learning Flight
El-Manzalawy, Yasser	Compositional Stochastic Average Gradient for Machine Learning and Related Applications
Elyan, Eyad	Overlap-Based Undersampling for Improving Imbalanced Data Classification
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Fan, Yuantao	Monitoring Equipment Operation through Model and Event Discovery
Fazzolari, Michela	Predicting Online Review Scores Across Reviewer Categories
Feld, Sebastian	Anomaly Detection in Spatial Layer Models of Autonomous Agents
Fister, Iztok	Differential evolution for association rule mining using categorical and numerical attributes Community Detection in Weighted Directed Networks using Nature-inspired Heuristics
Fister, Iztok	Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode
Fister, Iztok Jr.	Differential evolution for association rule mining using categorical and numerical attributes Community Detection in Weighted Directed Networks using Nature-inspired Heuristics Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode
Frangi, Alejandro F	Retinal Image Synthesis for Glaucoma Assessment using DCGAN and VAE Models
Fuentes-Hurtado, Félix	Finding the Importance of Facial Features in Social Trait Perception Deep-Learning-based Classification of Rat OCT images after Intravitreal Injection of ET-1 for Glaucoma Understanding
Fuentes-Pineda, Gibran	Extended Min-Hash Focusing on Intersection Cardinality
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Galvez-Tomida, Akemi	Differential evolution for association rule mining using categorical and numerical attributes Community Detection in Weighted Directed Networks using Nature-inspired Heuristics Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode
Galván, Inés M.	Studying the effect of measured solar power on evolutionary multi-objective prediction intervals
Gamallo, Pablo	Linguistic Features to Identify Extreme Opinions: An Empirical Study
Gamboa-Rosales, Hamurabi	Bibliometric network analysis to identify the intellectual structure and evolution of the Big Data research field
Gamboa-Rosales, Nadia Karina	Bibliometric network analysis to identify the intellectual structure and evolution of the Big Data research field
Gamez, Jose	CGLAD: using GLAD in crowdsourced large datasets
Gammerman, Alexander	Statistical and Algorithmic Learning
Garcia, Kemilly Dearo	Unsupervised Domain Adaptation for Human Activity Recognition A cluster-based prototype reduction for online k-NN classification
Garcia-Rodriguez, Jose	Data Pre-processing to apply Multiple Imputation techniques: A case study on real-world census data Low Level Big Data Processing
Garcia-Rodriguez, Jose	Machine Learning Methods based Preprocessing to improve Categorical Data Classification
García Pardo, José Gabriel	Identification of individual glandular regions using LCWT and machine learning techniques
García Sánchez, Pablo	Measuring the impact of the international relationships of the Andalusian universities using Dimensions database
Garlatti, Serge	Understanding Learner's Drop-out in MOOCs
Garrido-Merchán, Eduardo C.	Suggesting Cooking Recipes Through Simulation and Bayesian Optimization
Garriga Guitart, David	Jihadi radicalized women in Spain: a profile
Gazda, Vladimír	Single-class bankruptcy prediction based on the data from annual reports
Gil González, Ana Belén	Communication Skills Personal Trainer based on Viola-Jones object detection algorithm
Gil-Begue, Santiago	Multi-Dimensional Bayesian Network Classifier Trees
Gnip, Peter	Single-class bankruptcy prediction based on the data from annual reports
Gomes, João	Optimally Selected Minimal Learning Machine
Gomez-Pulido, Juan A.	Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
Gonzalez-Pardo, Antonio	Design of Japanesse Tree Frog algorithm for Community Finding Problems
González Rodrigo, Enrique	CGLAD: using GLAD in crowdsourced large datasets
González-Toro, Ángel Rafael	Evidence-based Systematic Literature Reviews in the Cloud
Gonçalves, Teresa	Handwritten Character Recognition using Active Semi-Supervised Learning
Gorokhov, Oleg	Novelty Detection using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space
Grigull, Lorenz	Improving the Decision Support in Diagnostic Systems using Classifier Probability Calibration
Grzenda, Maciej	Semi-Supervised Learning to Reduce Data Needs of Indoor Positioning Models
Guijo-Rubio, David	Distribution-based discretisation and ordinal classification applied to wave height prediction
Gusarova, Natalia	Specifics Analysis of Medical Communities in Social Network Services
Gutierrez, Pedro Antonio	Wind power ramp events ordinal prediction using minimum complexity echo state networks Distribution-based discretisation and ordinal classification applied to wave height prediction
Guziur, Jakub	Towards the intelligent agents for blockchain e-voting system
Gómez-Orellana, Antonio Manuel	Distribution-based discretisation and ordinal classification applied to wave height prediction
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Hamam, Yskandar	Support Vector Machine Based Method For High Impedance Fault Diagnosis in Power Distribution Networks
Hammer, Barbara	Inferring Temporal Structure from Predictability in Bumblebee Learning Flight
Hankins, Richard	Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks
Hasani, Zirije	An Adaptive Anomaly Detection Algorithm for Periodic Real Time Data Streams
Hashimoto, Takako	Feature selection and interpretable feature transformation: a preliminary study on feature engineering for classification algorithms
Hernández, José	An Artificial Bee Colony algorithm for optimizing the design of sensor networks
Herrera, Francisco	Framework for the Training of Deep Neural Networks in TensorFlow using Metaheuristics
Herrera-Viedma, Enrique	Framework for the Training of Deep Neural Networks in TensorFlow using Metaheuristics A new approach for implicit citation extraction
Hervás-Martínez, Cesar	Wind power ramp events ordinal prediction using minimum complexity echo state networks Distribution-based discretisation and ordinal classification applied to wave height prediction
Honavar, Vasant	Compositional Stochastic Average Gradient for Machine Learning and Related Applications
Hsieh, Tsung-Yu	Compositional Stochastic Average Gradient for Machine Learning and Related Applications
Huertas-Tato, Javier	Studying the effect of measured solar power on evolutionary multi-objective prediction intervals
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Iglesias Prieto, Andres	Differential evolution for association rule mining using categorical and numerical attributes Community Detection in Weighted Directed Networks using Nature-inspired Heuristics Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode
Inkeaw, Papangkorn	Handwritten Character Recognition using Active Semi-Supervised Learning
Ionascu, Costel	Exploring the Perceived Usefulness and Attitude Towards using Tesys e-Learning Platform
Isasi, Pedro	Model Selection in Committees of Evolved Convolutional Neural Networks using Genetic Algorithms
Islam, M M Manjurul	Intelligent Rub-Impact Fault Diagnosis based on Genetic Algorithm-based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models
Itabashi, Taiki	Extended Min-Hash Focusing on Intersection Cardinality
Itani, Alya	Understanding Learner's Drop-out in MOOCs
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Jakimovski, Boro	An Adaptive Anomaly Detection Algorithm for Periodic Real Time Data Streams
Jankowski, Dariusz	MapReduce model for Random Forest algorithm: experimental studies
Jayne, Chrisina	Overlap-Based Undersampling for Improving Imbalanced Data Classification
Jebari, Chaker	A new approach for implicit citation extraction
Jia, Caiyan	General Structure Preserving Network Embedding
Jing, Yanguo	Automated, Nomenclature Based Data Point Selection For Industrial Event Log Generation
Jonas, Konstantin	Assessment and Adaption of Pattern Discovery Approaches for Time Series under the Requirement of Time Warping
Jordaan, Jaco	Support Vector Machine Based Method For High Impedance Fault Diagnosis in Power Distribution Networks
Jovanovic, Raka	Bare Bones Fireworks Algorithm for Medical Image Compression
Julian, Vicente	Intelligent wristbands for the automatic detection of emotional states for the elderly
Julier, Simon	A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments
Jung, Jason	Extending Independent Component Analysis on Online Social Media for Event Detection
Jurek, Kamil	Causal rules detection in streams of unlabeled, mixed type values with finit domains
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Kammoun, Wafa	Effective centralized trust management model for Internet of Things
Kaothanthong, Natsuda	ATM Fraud Detection using Outlier Detection
Katiuska Ramos Diaz, Alexandra	Exploring coclustering for serendipity improvement in content-based recommendation
Kazachuk, Maria	Novelty Detection using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space
Kaznacheeva, Anna	Specifics Analysis of Medical Communities in Social Network Services
Kelleher, John D.	Exploring Online Novelty Detection Using First Story Detection Models
Khan, Gul Muhammad	Signal Reconstruction using Evolvable Recurrent Neural Networks
Khan, Nadia Masood	Signal Reconstruction using Evolvable Recurrent Neural Networks
Kiermeier, Marie	Anomaly Detection in Spatial Layer Models of Autonomous Agents
Kim, Jin-Young	Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model
Kim, Jong-Myon	Intelligent Rub-Impact Fault Diagnosis based on Genetic Algorithm-based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models
Kim, Tae-Young	Predicting the Household Power Consumption using CNN- LSTM Hybrid Networks
Klawonn, Frank	Assessment and Adaption of Pattern Discovery Approaches for Time Series under the Requirement of Time Warping Improving the Decision Support in Diagnostic Systems using Classifier Probability Calibration
Kloepper, Benjamin	Reusable Big Data System for Industrial Data Mining - A case study on Anomaly Detection in Chemical Plants Mining Attributed Interaction Networks on Industrial Event Logs
Koehler, Wolfgang	Automated, Nomenclature Based Data Point Selection For Industrial Event Log Generation
Koga, Hisashi	Extended Min-Hash Focusing on Intersection Cardinality
Kon-Popovska, Margita	An Adaptive Anomaly Detection Algorithm for Periodic Real Time Data Streams
Kordos, Miroslaw	Data Set Partitioning in Evolutionary Instance Selection
Kortum, Xiaowei	Improving the Decision Support in Diagnostic Systems using Classifier Probability Calibration
Kosunen, Ilkka	Introductory talk: Clustering and visualization of high-dimensional and complex data Peak Alpha Based Neurofeedback Training within Survival Shooter Game
Ksieniewicz, Paweł	Imbalanced data classification based on feature selection techniques Combined classifier based on quantized subspace class distribution
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Laimek, Roongtawan	ATM Fraud Detection using Outlier Detection
Lara-Cabrera, Raul	Tutorial: Applying Machine Learning to detect Android Malware ONTOLOGY USES FOR RADICALISATION DETECTION on Social Networks
Larrañaga, Pedro	Multi-Dimensional Bayesian Network Classifier Trees
Larrañaga, Pedro	A fast Metropolis-Hastings method for generating random correlation matrices
Lechner, Werner	Improving the Decision Support in Diagnostic Systems using Classifier Probability Calibration
Linnhof-Popien, Claudia	Anomaly Detection in Spatial Layer Models of Autonomous Agents
Liu, Mengyu	Deep Neural Networks with Markov Random Field Models for Image Classification
Lobantsev, Artem	Specifics Analysis of Medical Communities in Social Network Services
Logofatu, Doina	Applying Tree Ensemble to Detect Anomalies in Real-World Water Composition Dataset
Loia, Vincenzo	Towards enriched Cognitive Security Systems
Lopes Cardoso, Henrique	Optimizing Meta-Heuristics for the Time-Dependent Traveling Salesman Problem Applied to Air Travels
Lopez-Herrera, Antonio	Constructing bibliometric networks from Spanish doctoral Theses
Lóderer, Marek	Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning
López-Robles, José Ricardo	Bibliometric network analysis to identify the intellectual structure and evolution of the Big Data research field
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Macredie, Robert	Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets
Maddar, Hela	Effective centralized trust management model for Internet of Things
Maia, Átilla	Optimally Selected Minimal Learning Machine
Malagón, Pedro	Applying cost-sensitive classifiers with reinforcement learning to IDS
Manero Font, Jaume	Deep Learning applied to Wind Energy Forecasting
Mannhardt, Felix	A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments
Marcondes, Francisco Supino	Chatbot Theory: A Naı̈ve and Elementary Theory for Dialogue Management
Marques Peres, Sarajane	Exploring coclustering for serendipity improvement in content-based recommendation
Martins Silva, Andrei	Exploring coclustering for serendipity improvement in content-based recommendation
Martín, Alejandro	Tutorial: Applying Machine Learning to detect Android Malware
Martín-Vázquez, Rubén	Studying the effect of measured solar power on evolutionary multi-objective prediction intervals
Mashechkin, Igor	Novelty Detection using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space
Mendes-Moreira, João	Unsupervised Domain Adaptation for Human Activity Recognition Instance-based stacked generalization for transfer learning A cluster-based prototype reduction for online k-NN classification
Mendoza, Martha	Framework for the Training of Deep Neural Networks in TensorFlow using Metaheuristics
Mercado, Nohora	Hospital admission and risk assessment associated to exposure of fungal bioaerosols at a municipal landfill using statistical models
Meyer, Stefan	Inferring Temporal Structure from Predictability in Bumblebee Learning Flight
Michalak, Krzysztof	Knowledge-based Solution Construction for Evolutionary Minimization of Systemic Risk Crossover Operator using Knowledge Transfer for the Firefighter Problem
Mihăescu, Cristian	Introductory talk: Clustering and visualization of high-dimensional and complex data Exploring the Perceived Usefulness and Attitude Towards using Tesys e-Learning Platform Peak Alpha Based Neurofeedback Training within Survival Shooter Game Taking e-Assessment Quizzes - A Case Study with an SVD Based Recommender System Improved Architectural Redesign of MTree Clusterer in the Context of Image Segmentation
Mohanty, Figlu	Compound local binary pattern and enhanced Jaya optimized extreme learning machine for digital mammogram classication
Moloi, Katleho	Support Vector Machine Based Method For High Impedance Fault Diagnosis in Power Distribution Networks
Morales, Sandra	Deep-Learning-based Classification of Rat OCT images after Intravitreal Injection of ET-1 for Glaucoma Understanding Retinal Image Synthesis for Glaucoma Assessment using DCGAN and VAE Models
Mossi, Jose Manuel	Deep-Learning-based Classification of Rat OCT images after Intravitreal Injection of ET-1 for Glaucoma Understanding
Mota, José Miguel	Evidence-based Systematic Literature Reviews in the Cloud
Moya, Jose M.	Applying cost-sensitive classifiers with reinforcement learning to IDS
Moya, José M.	Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks
Muecke, Urs	Improving the Decision Support in Diagnostic Systems using Classifier Probability Calibration
Muñoz-Ordóñez, Julián	Framework for the Training of Deep Neural Networks in TensorFlow using Metaheuristics
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Nalepa, Grzegorz J.	On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications
Naranjo, Rodrigo	New Fuzzy Singletons Distance Measure by Convolution
Naranjo, Valery	Finding the Importance of Facial Features in Social Trait Perception Deep Learning-based Approach for the Semantic Segmentation of Bright Retinal Damage Identification of individual glandular regions using LCWT and machine learning techniques Deep-Learning-based Classification of Rat OCT images after Intravitreal Injection of ET-1 for Glaucoma Understanding Retinal Image Synthesis for Glaucoma Assessment using DCGAN and VAE Models Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images
Nascimento, Susana	A Study of Fuzzy Clustering to Archetypal Analysis
Nguyen, Hoang Long	Extending Independent Component Analysis on Online Social Media for Event Detection
Nguyen, Minh	Applying Tree Ensemble to Detect Anomalies in Real-World Water Composition Dataset
Noering, Fabian Kai-Dietrich	Assessment and Adaption of Pattern Discovery Approaches for Time Series under the Requirement of Time Warping
Novais, Paulo	Chatbot Theory: A Naı̈ve and Elementary Theory for Dialogue Management Intelligent wristbands for the automatic detection of emotional states for the elderly
Nowaczyk, Slawomir	Monitoring Equipment Operation through Model and Event Discovery
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Ogul, Hasan	ALoT: A time-series similarity measure based on alignment of textures
Oliveira, Eugénio	Optimizing Meta-Heuristics for the Time-Dependent Traveling Salesman Problem Applied to Air Travels
Oliveira, Manuel	A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments
Orsenigo, Carlotta	Concatenating or Averaging? Hybrid Sentence Representations for Sentiment Analysis
Osaba, Eneko	Differential evolution for association rule mining using categorical and numerical attributes Community Detection in Weighted Directed Networks using Nature-inspired Heuristics Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode
Otegi-Olaso, Jose Ramón	Bibliometric network analysis to identify the intellectual structure and evolution of the Big Data research field
Oussalah, Mourad	On Detecting Online Radicalization Using Natural Language Processing
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Palesi, Ileana	Weighted Voting and Meta-Learning for Combining Authorship Attribution Methods
Panizo, Angel	RiskTrack: assessing the risk of Jihadi radicalization on Twitter using linguistic factors. Measuring Extremism: Validating an Alt-Right Twitter Accounts Dataset An Artificial Bee Colony algorithm for optimizing the design of sensor networks
Pardo-Pertierra, Álvaro	Communication Skills Personal Trainer based on Viola-Jones object detection algorithm
Parfenov, Vladimir	Specifics Analysis of Medical Communities in Social Network Services
Pavlík, Peter	Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning
Pawlak, Michał	Towards the intelligent agents for blockchain e-voting system
Peluffo-Ordoñez, Diego Hernán	Exploratory study of the effects of cardiac murmurs on electrocardiographic-signal-based biometric systems Generalized low-computational cost Laplacian eigenmaps
Peng, Yao	Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks Deep Neural Networks with Markov Random Field Models for Image Classification
Pereira, Joana	Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images
Person, Tatiana	Evidence-based Systematic Literature Reviews in the Cloud
Petrocchi, Marinella	Predicting Online Review Scores Across Reviewer Categories
Petrovic, Ivan	Weighted Voting and Meta-Learning for Combining Authorship Attribution Methods
Petrovic, Smiljana	Weighted Voting and Meta-Learning for Combining Authorship Attribution Methods
Petrovski, Andrei	Overlap-Based Undersampling for Improving Imbalanced Data Classification
Petrovskiy, Mikhail	Novelty Detection using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space
Peña-Unigarro, Diego Fernando	Generalized low-computational cost Laplacian eigenmaps
Peñaranda Gómez, Francisco	Identification of individual glandular regions using LCWT and machine learning techniques
Phan, Thomy	Anomaly Detection in Spatial Layer Models of Autonomous Agents
Pongpech, Worapol Alex	On Application of Learning to Rank for Assets Management: Warehouses Ranking
Poniszewska-Maranda, Aneta	Towards the intelligent agents for blockchain e-voting system
Popescu, Paul Stefan	Exploring the Perceived Usefulness and Attitude Towards using Tesys e-Learning Platform Taking e-Assessment Quizzes - A Case Study with an SVD Based Recommender System
Porto Gómez, Igone	Bibliometric network analysis to identify the intellectual structure and evolution of the Big Data research field
Prieto, Luis	Wind power ramp events ordinal prediction using minimum complexity echo state networks
Prosvirin, Alexander	Intelligent Rub-Impact Fault Diagnosis based on Genetic Algorithm-based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models
Pulgar, Francisco Javier	A first approach to face dimensionality reduction through denoising autoencoders
Pérez, Jaime	Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks
Pérez, Sergio	Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks
Pérez-Peló, Sergio	A metaheuristic approach for the α-separator problem
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Raja, Muhammad Adil	GELAB – A Matlab Toolbox for Grammatical Evolution
Revelo-Fuelagán, Edgardo Javier	Exploratory study of the effects of cardiac murmurs on electrocardiographic-signal-based biometric systems Generalized low-computational cost Laplacian eigenmaps
Rincon Arango, Jaime Andres	Intelligent wristbands for the automatic detection of emotional states for the elderly
Rivera Rivas, Antonio Jesús	An approximation to Deep Learning touristic-related time series forecasting A first approach to face dimensionality reduction through denoising autoencoders
Rivolli, Adriano	Machine Learning for drugs prescription
Robles-Berumen, Hermes	Bibliometric network analysis to identify the intellectual structure and evolution of the Big Data research field
Rocha, Pedro	Machine Learning for drugs prescription
Rocha Neto, Ajalmar	Optimally Selected Minimal Learning Machine
Ross, Robert J.	Exploring Online Novelty Detection Using First Story Detection Models
Rozinajova, Viera	Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning
Ruiz-Chavez, Zoila	Data Pre-processing to apply Multiple Imputation techniques: A case study on real-world census data Low Level Big Data Processing Machine Learning Methods based Preprocessing to improve Categorical Data Classification
Ruiz-Rube, Iván	Evidence-based Systematic Literature Reviews in the Cloud
Rup, Suvendu	Compound local binary pattern and enhanced Jaya optimized extreme learning machine for digital mammogram classication
Ryan, Conor	GELAB – A Matlab Toolbox for Grammatical Evolution
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Saez, Yago	Model Selection in Committees of Evolved Convolutional Neural Networks using Genetic Algorithms
Salazar-Castro, Jose Alejandro	Generalized low-computational cost Laplacian eigenmaps
Salcedo-Sanz, Sancho	Wind power ramp events ordinal prediction using minimum complexity echo state networks Merging ELMs with Satellite Data and Clear-sky models for Effective Solar Radiation Estimation
Salvador-Meneses, Jaime	Data Pre-processing to apply Multiple Imputation techniques: A case study on real-world census data Low Level Big Data Processing Machine Learning Methods based Preprocessing to improve Categorical Data Classification
Sant'Anna, Anita	Monitoring Equipment Operation through Model and Event Discovery
Santos, Matilde	New Fuzzy Singletons Distance Measure by Convolution
Sanz-Justo, Julia	Merging ELMs with Satellite Data and Clear-sky models for Effective Solar Radiation Estimation
Serna, Leonardo	Exploratory study of the effects of cardiac murmurs on electrocardiographic-signal-based biometric systems
Shalyto, Anatoly	Specifics Analysis of Medical Communities in Social Network Services
Shin, Won-Sup	CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection using Generative Adversarial Network
Silva, Cristiana	Deep Learning-based Approach for the Semantic Segmentation of Bright Retinal Damage
Silva, Pedro	Machine Learning for drugs prescription
Simić, Dragan	Different Approaches of Data and Attribute Selection on Headache Disorder
Simić, Svetislav D.	Different Approaches of Data and Attribute Selection on Headache Disorder
Simić, Svetlana	Different Approaches of Data and Attribute Selection on Headache Disorder
Siniscalchi, Luisa	PostProcessing in Constrained Role Mining
Soares, Carlos	Machine Learning for drugs prescription
Soto, Ricardo	Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
Sousa Mendes, Gonçalo	A Study of Fuzzy Clustering to Archetypal Analysis
Spognardi, Angelo	Predicting Online Review Scores Across Reviewer Categories
Sprick, Barbara	Reusable Big Data System for Industrial Data Mining - A case study on Anomaly Detection in Chemical Plants
Stankevich, Andrei	Specifics Analysis of Medical Communities in Social Network Services
Suarez Valero, Patricia	Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode
Sun, Yiwei	Compositional Stochastic Average Gradient for Machine Learning and Related Applications
Supnithi, Thepchai	ATM Fraud Detection using Outlier Detection
Suzuki, Satoshi	Extended Min-Hash Focusing on Intersection Cardinality
Sánchez, Mabel	An Artificial Bee Colony algorithm for optimizing the design of sensor networks
Sánchez-Oro, Jesús	A metaheuristic approach for the α-separator problem
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Tabik, Siham	Framework for the Training of Deep Neural Networks in TensorFlow using Metaheuristics
Taleb Zouggar, Souad	EMnGA : Entropy Measure and Genetic Algorithms Based Method for Heterogeneous Ensembles Selection
Tallon-Ballesteros, Antonio J.	Bare Bones Fireworks Algorithm for Medical Image Compression Data Pre-processing to apply Multiple Imputation techniques: A case study on real-world census data Feature selection and interpretable feature transformation: a preliminary study on feature engineering for classification algorithms
Teira-Lafuente, Javier	Communication Skills Personal Trainer based on Viola-Jones object detection algorithm
Teodorescu, Oana Maria	Taking e-Assessment Quizzes - A Case Study with an SVD Based Recommender System
Thorburn, Joshua	Measuring Extremism: Validating an Alt-Right Twitter Accounts Dataset
Toda, Takahisa	Extended Min-Hash Focusing on Intersection Cardinality
Torregrosa, Javier	RiskTrack: assessing the risk of Jihadi radicalization on Twitter using linguistic factors. Measuring Extremism: Validating an Alt-Right Twitter Accounts Dataset
Trespaderne, Ariadna	Jihadi radicalized women in Spain: a profile
Trujillo Viedma, Daniel	An approximation to Deep Learning touristic-related time series forecasting
Trzcionkowska, Agnieszka	Creation of an event log from machinery monitoring system on a selected example
Tuba, Eva	Bare Bones Fireworks Algorithm for Medical Image Compression
Tuba, Milan	Bare Bones Fireworks Algorithm for Medical Image Compression
Tuba, Milan	Feature selection and interpretable feature transformation: a preliminary study on feature engineering for classification algorithms
Tucker, Allan	Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets
Turcu, Gabriel	Peak Alpha Based Neurofeedback Training within Survival Shooter Game
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Varando, Gherardo	A fast Metropolis-Hastings method for generating random correlation matrices
Vatian, Alexandra	Specifics Analysis of Medical Communities in Social Network Services
Velinov, Goran	An Adaptive Anomaly Detection Algorithm for Periodic Real Time Data Streams
Vercellis, Carlo	Concatenating or Averaging? Hybrid Sentence Representations for Sentiment Analysis
Vilain, Patrícia	A framework for form applications that use machine learning
Viloria, Amelec	Hospital admission and risk assessment associated to exposure of fungal bioaerosols at a municipal landfill using statistical models
Volpetti, Claudia	Concatenating or Averaging? Hybrid Sentence Representations for Sentiment Analysis
Vuttipittayamongkol, Pattaramon	Overlap-Based Undersampling for Improving Imbalanced Data Classification
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Wang, Fei	Exploring Online Novelty Detection Using First Story Detection Models
Wang, Jie	Semantic WordRank: Generating Finer Single-Document Summarizations
Wozniak, Michal	Imbalanced data classification based on feature selection techniques
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Xu, Yanwu	Retinal Image Synthesis for Glaucoma Assessment using DCGAN and VAE Models
Xue, Bing	Feature selection and interpretable feature transformation: a preliminary study on feature engineering for classification algorithms
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Yang, Xin-She	Tutorial: Nature-Inspired Optimization Algorithms
Yao, Xin	Tackling Many Objectives
Yin, Hujun	Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks Deep Neural Networks with Markov Random Field Models for Image Classification
Youssef, Habib	Effective centralized trust management model for Internet of Things
Yumaganov, Alexander	Spatial-Temporal K Nearest Neighbors Model on MapReduce for Traffic Flow Prediction
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Zacarias, Abel	Improving SeNA-CNN by Automating Task Recognition
Zapata, Juan Camilo	Exploratory study of the effects of cardiac murmurs on electrocardiographic-signal-based biometric systems
Zhang, Hao	Semantic WordRank: Generating Finer Single-Document Summarizations
Zhu, Sinan	General Structure Preserving Network Embedding
Zoricak, Martin	Single-class bankruptcy prediction based on the data from annual reports

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