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

Days: Wednesday, November 21st Thursday, November 22nd Friday, November 23rd

Wednesday, November 21st

View this program: with abstractssession overviewtalk overview

10:30-11:30 Session 1: Tutorial
10:30
Tutorial: Nature-Inspired Optimization Algorithms (abstract)
11:30-12:00Coffee Break
12:00-13:00 Session 2: Plenary talk
12:00
Towards enriched Cognitive Security Systems (abstract)
13:00-14:00Lunch Break
14:10-16:10 Session 3A: Artificial Intelligence & Machine Learning: Theory
14:10
General Structure Preserving Network Embedding (abstract)
14:25
CGLAD: using GLAD in crowdsourced large datasets (abstract)
14:40
A first approach to face dimensionality reduction through denoising autoencoders (abstract)
14:55
Compositional Stochastic Average Gradient for Machine Learning and Related Applications (abstract)
15:10
Data Set Partitioning in Evolutionary Instance Selection (abstract)
15:25
Instance-based stacked generalization for transfer learning (abstract)
15:40
Multi-Dimensional Bayesian Network Classifier Trees (abstract)
15:55
Optimally Selected Minimal Learning Machine (abstract)
14:10-16:10 Session 3B: Artificial Intelligence & Machine Learning: Applications
Location: Mixed room
14:10
Exploring the Perceived Usefulness and Attitude Towards using Tesys e-Learning Platform (abstract)
14:25
Peak Alpha Based Neurofeedback Training within Survival Shooter Game (abstract)
14:40
Support Vector Machine Based Method For High Impedance Fault Diagnosis in Power Distribution Networks (abstract)
14:55
Single-class bankruptcy prediction based on the data from annual reports (abstract)
15:10
On Application of Learning to Rank for Assets Management: Warehouses Ranking (abstract)
15:25
Towards the intelligent agents for blockchain e-voting system (abstract)
15:40
Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks (abstract)
15:55
Suggesting Cooking Recipes Through Simulation and Bayesian Optimization (abstract)
14:10-16:10 Session 3C: Workshop on Methods for Interpretation of Industrial Event Logs (MIEL)
Location: Meeting room
14:10
Introductory talk: Computational Sensemaking in Industry 4.0: From Analysis to Interpretation (abstract)
14:25
Automated, Nomenclature Based Data Point Selection For Industrial Event Log Generation (abstract)
14:40
Mining Attributed Interaction Networks on Industrial Event Logs (abstract)
14:55
A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments (abstract)
15:10
On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications (abstract)
15:25
Causal rules detection in streams of unlabeled, mixed type values with finit domains (abstract)
15:40
Creation of an event log from machinery monitoring system on a selected example (abstract)
15:55
Monitoring Equipment Operation through Model and Event Discovery (abstract)
16:10-16:40Coffee Break
16:40-18:00 Session 4A: Machine Learning: Theory & Applications
16:40
A framework for form applications that use machine learning (abstract)
16:55
Overlap-Based Undersampling for Improving Imbalanced Data Classification (abstract)
17:10
Machine Learning Methods based Preprocessing to improve Categorical Data Classification (abstract)
17:25
Combined classifier based on quantized subspace class distribution (abstract)
17:40
A cluster-based prototype reduction for online k-NN classification (abstract)
16:40-17:40 Session 4B: Artificial Intelligence & Applied Mathematics
Location: Mixed room
16:40
PostProcessing in Constrained Role Mining (abstract)
16:55
Extended Min-Hash Focusing on Intersection Cardinality (abstract)
17:10
New Fuzzy Singletons Distance Measure by Convolution (abstract)
17:25
A fast Metropolis-Hastings method for generating random correlation matrices (abstract)
16:40-18:00 Session 4C: Special Session on Data Selection in Machine Learning (DSML 1)
Location: Meeting room
16:40
Semi-Supervised Learning to Reduce Data Needs of Indoor Positioning Models (abstract)
16:55
EMnGA : Entropy Measure and Genetic Algorithms Based Method for Heterogeneous Ensembles Selection (abstract)
17:10
A Study of Fuzzy Clustering to Archetypal Analysis (abstract)
17:25
Different Approaches of Data and Attribute Selection on Headache Disorder (abstract)
17:40
Feature selection and interpretable feature transformation: a preliminary study on feature engineering for classification algorithms (abstract)
19:30-21:30Cultural event
Thursday, November 22nd

View this program: with abstractssession overviewtalk overview

09:30-10:30 Session 5A: Evolutionary Computation
09:30
Knowledge-based Solution Construction for Evolutionary Minimization of Systemic Risk (abstract)
09:45
Crossover Operator using Knowledge Transfer for the Firefighter Problem (abstract)
10:00
Differential evolution for association rule mining using categorical and numerical attributes (abstract)
10:15
Intelligent Rub-Impact Fault Diagnosis based on Genetic Algorithm-based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models (abstract)
09:30-10:30 Session 5B: Time Series analysis
Location: Mixed room
09:30
Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning (abstract)
09:45
Assessment and Adaption of Pattern Discovery Approaches for Time Series under the Requirement of Time Warping (abstract)
10:00
ALoT: A time-series similarity measure based on alignment of textures (abstract)
10:15
Inferring Temporal Structure from Predictability in Bumblebee Learning Flight (abstract)
09:30-10:30 Session 5C: Special Session on Data Selection in Machine Learning (DSML 2)
Location: Meeting room
09:30
Novelty Detection using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space (abstract)
09:45
Bare Bones Fireworks Algorithm for Medical Image Compression (abstract)
10:00
Data Pre-processing to apply Multiple Imputation techniques: A case study on real-world census data (abstract)
10:15
Imbalanced data classification based on feature selection techniques (abstract)
10:30
MapReduce model for Random Forest algorithm: experimental studies (abstract)
10:30-11:30 Session 6: Tutorial
10:30
Tutorial: Applying Machine Learning to detect Android Malware (abstract)
11:30-12:00Coffee Break
13:00-14:00Lunch Break
14:10-16:10 Session 8A: Anomaly Detection and Trust Management
Chair:
14:10
Effective centralized trust management model for Internet of Things (abstract)
14:25
Applying Tree Ensemble to Detect Anomalies in Real-World Water Composition Dataset (abstract)
14:40
An Adaptive Anomaly Detection Algorithm for Periodic Real Time Data Streams (abstract)
14:55
ATM Fraud Detection using Outlier Detection (abstract)
15:10
Anomaly Detection in Spatial Layer Models of Autonomous Agents (abstract)
15:25
Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets (abstract)
15:40
Signal Reconstruction using Evolvable Recurrent Neural Networks (abstract)
15:55
Applying cost-sensitive classifiers with reinforcement learning to IDS (abstract)
14:10-16:10 Session 8B: Medical Applications of Artificial Intelligence
Location: Mixed room
14:10
Improving the Decision Support in Diagnostic Systems using Classifier Probability Calibration (abstract)
14:25
Compound local binary pattern and enhanced Jaya optimized extreme learning machine for digital mammogram classication (abstract)
14:40
An ELM based Regression Model for ECG Artifact Minimization from Single Channel EEG (abstract)
14:55
Intelligent wristbands for the automatic detection of emotional states for the elderly (abstract)
15:10
Deep Learning-based Approach for the Semantic Segmentation of Bright Retinal Damage (abstract)
15:25
Machine Learning for drugs prescription (abstract)
15:40
Identification of individual glandular regions using LCWT and machine learning techniques (abstract)
15:55
Specifics Analysis of Medical Communities in Social Network Services (abstract)
14:10-15:25 Session 8C-I: Special Session on Machine Learning for Renewable Energy applications (MLRE)
Location: Meeting room
14:10
Wind power ramp events ordinal prediction using minimum complexity echo state networks (abstract)
14:25
Distribution-based discretisation and ordinal classification applied to wave height prediction (abstract)
14:40
Merging ELMs with Satellite Data and Clear-sky models for Effective Solar Radiation Estimation (abstract)
14:55
Studying the effect of measured solar power on evolutionary multi-objective prediction intervals (abstract)
15:10
Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction (abstract)
15:25-16:10 Session 8C-II: Special Session on Evolutionary Computing Methods for Data Mining: Theory and Applications (ECMD)
Location: Meeting room
15:25
Hospital admission and risk assessment associated to exposure of fungal bioaerosols at a municipal landfill using statistical models (abstract)
15:40
Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode (abstract)
15:55
GELAB – A Matlab Toolbox for Grammatical Evolution (abstract)
16:10-16:40Coffee Break
16:40-18:10 Session 9A: Image Analysis
16:40
Deep-Learning-based Classification of Rat OCT images after Intravitreal Injection of ET-1 for Glaucoma Understanding (abstract)
16:55
CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection using Generative Adversarial Network (abstract)
17:10
Retinal Image Synthesis for Glaucoma Assessment using DCGAN and VAE Models (abstract)
17:25
Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images (abstract)
17:40
Improved Architectural Redesign of MTree Clusterer in the Context of Image Segmentation (abstract)
17:55
Deep Neural Networks with Markov Random Field Models for Image Classification (abstract)
16:40-18:10 Session 9B: Natural Language Processing & Computational Linguistics
Location: Mixed room
16:40
Linguistic Features to Identify Extreme Opinions: An Empirical Study (abstract)
16:55
Handwritten Character Recognition using Active Semi-Supervised Learning (abstract)
17:10
Exploring Online Novelty Detection Using First Story Detection Models (abstract)
17:25
Semantic WordRank: Generating Finer Single-Document Summarizations (abstract)
17:40
Concatenating or Averaging? Hybrid Sentence Representations for Sentiment Analysis (abstract)
17:55
Weighted Voting and Meta-Learning for Combining Authorship Attribution Methods (abstract)
16:40-17:55 Session 9C: Special Session on Intelligent Techniques for the Analysis of Scientific Articles and Patents (ITASAP)
Location: Meeting room
16:40
Measuring the impact of the international relationships of the Andalusian universities using Dimensions database (abstract)
16:55
Constructing bibliometric networks from Spanish doctoral Theses (abstract)
17:10
A new approach for implicit citation extraction (abstract)
17:25
Bibliometric network analysis to identify the intellectual structure and evolution of the Big Data research field (abstract)
17:40
Evidence-based Systematic Literature Reviews in the Cloud (abstract)
20:00-23:30Gala dinner
Friday, November 23rd

View this program: with abstractssession overviewtalk overview

10:00-11:30 Session 10C: Workshop on RiskTrack: Analyzing radicalization in Online Social Networks
Location: Meeting room
10:00
Introductory talk: Present and future perspectives on radicalization tracking (abstract)
10:15
On Detecting Online Radicalization Using Natural Language Processing (abstract)
10:30
RiskTrack: assessing the risk of Jihadi radicalization on Twitter using linguistic factors. (abstract)
10:45
Measuring Extremism: Validating an Alt-Right Twitter Accounts Dataset (abstract)
11:00
ONTOLOGY USES FOR RADICALISATION DETECTION on Social Networks (abstract)
11:15
Jihadi radicalized women in Spain: a profile (abstract)
10:30-11:30 Session 10A: Workshop on the Interplay between Human-Computer Interaction and Data Science (HCI-DS)
Location: Mixed room
10:30
Introductory talk: Clustering and visualization of high-dimensional and complex data (abstract)
10:45
Exploratory study of the effects of cardiac murmurs on electrocardiographic-signal-based biometric systems (abstract)
11:00
Model Selection in Committees of Evolved Convolutional Neural Networks using Genetic Algorithms (abstract)
11:15
Optimizing Meta-Heuristics for the Time-Dependent Traveling Salesman Problem Applied to Air Travels (abstract)
10:30-11:30 Session 10B: Big Data: Theory and applications
Chair:
10:30
Reusable Big Data System for Industrial Data Mining - A case study on Anomaly Detection in Chemical Plants (abstract)
10:45
Spatial-Temporal K Nearest Neighbors Model on MapReduce for Traffic Flow Prediction (abstract)
11:00
Low Level Big Data Processing (abstract)
11:30-12:00Coffee Break
13:00-14:00Lunch Break
14:10-16:10 Session 12A: Social and Human Applications of Artificial Intelligence
14:10
Finding the Importance of Facial Features in Social Trait Perception (abstract)
14:25
Extending Independent Component Analysis on Online Social Media for Event Detection (abstract)
14:40
Chatbot Theory: A Naı̈ve and Elementary Theory for Dialogue Management (abstract)
14:55
Understanding Learner's Drop-out in MOOCs (abstract)
15:10
Unsupervised Domain Adaptation for Human Activity Recognition (abstract)
15:25
Communication Skills Personal Trainer based on Viola-Jones object detection algorithm (abstract)
15:40
Predicting Online Review Scores Across Reviewer Categories (abstract)
15:55
Generalized low-computational cost Laplacian eigenmaps (abstract)
14:10-16:10 Session 12B: Deep learning & Neural Networks
Location: Mixed room
14:10
Deep Learning applied to Wind Energy Forecasting (abstract)
14:25
An approximation to Deep Learning touristic-related time series forecasting (abstract)
14:40
Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks (abstract)
14:55
Framework for the Training of Deep Neural Networks in TensorFlow using Metaheuristics (abstract)
15:10
Improving SeNA-CNN by Automating Task Recognition (abstract)
15:25
Learning Optimal Q-function using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency (abstract)
15:40
Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model (abstract)
15:55
Predicting the Household Power Consumption using CNN- LSTM Hybrid Networks (abstract)
14:10-15:10 Session 12C-I: Special Session on New Models of Bio-inspired computation for Massive Complex Environments (NMBC)
Location: Meeting room
14:10
A metaheuristic approach for the α-separator problem (abstract)
14:25
Community Detection in Weighted Directed Networks using Nature-inspired Heuristics (abstract)
14:40
An Artificial Bee Colony algorithm for optimizing the design of sensor networks (abstract)
14:55
Design of Japanesse Tree Frog algorithm for Community Finding Problems (abstract)
15:10-16:10 Session 12C-II: Recommender Systems
Location: Meeting room
15:10
Taking e-Assessment Quizzes - A Case Study with an SVD Based Recommender System (abstract)
15:25
Exploring coclustering for serendipity improvement in content-based recommendation (abstract)
15:40
An Improved Fuzzy Logic Based Recommender System by Integrating Social Tags and Social Networks’ Information (abstract)
15:55
Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus (abstract)