Program

Keynote Lecture: The Value of Evaluation: What Does My Machine Learning Metric Tell Me?

Ant Colony Optimization for Markov Blanket-based Feature Selection. Application for Precision Medicine

Improving Traditional Dual Ascent Algorithm for the Uncapacitated Multiple Allocation Hub Location Problem: a RAMP Approach

Nonnegative Coupled Matrix Tensor Factorization for Smart City Spatiotemporal Pattern Mining

A Machine Learning Approach for Line Outage Identification in Power Systems

Bayesian Clustering of Multivariate Immunological Data

Data-Driven Interactive Multiobjective Optimization using a Cluster-Based Surrogate in a Discrete Decision Space

Simple Learning with a Teacher via Biased Regularized Least Squares

Keynote Lecture: Dynamics of Financial Markets

A Clonal Selection Algorithm for Multiobjective Energy Reduction Multi-Depot Vehicle Routing Problem

Processing Online SAT Instances with Waiting Time Constraints and Completion Weights

Deep Learning Approach for Performance Prediction of Service-Oriented Architecture

A Nonparametric Approach for Product Assortment with Uncertain Outcome and Customer Regret

Methods of Machine Learning for Censored Demand Prediction

Development of Quality Estimator for Heavy Diesel

Learning and Inversion: Connection between Problems and Convergence Rates

Keynote Lecture: Several Problems in Optimization and Learning: from Pure Mathematics to Industrial Applications

Information-Theoretic Feature Selection Using High-Order Interactions

Assessing Accuracy of Ensemble Learning for Facial Expression Recognition with CNNs

Optimization of Neural Network Training with ELM Based on the Iterative Hybridization of Differential Evolution with Local Search and Restarts

A New Distributed and Decentralized Stochastic Optimization Algorithm with Applications in Big Data Analytics

Image-Based Fashion Product Recommendation with Deep Learning

An Unsupervised Learning Classifier with Competitive Error Performance

Evolutionary Construction of Convolutional Neural Networks

Sparse Feature Extraction Model with ISA

Covering Arrays to Support the Process of Feature Selection in the Random Forest Classifier

Strong Duality of the Kantorovich-Rubinstein Mass Transshipment Problem in Metric Spaces

Average Performance Analysis of the Projected Gradient Method for Online PCA

Application of Dimensionality Reduction Schemes to Multiobjective Optimization with Multiextremal Criteria

N-gram Representation for Web Service Description Classification

Improving Clinical Subjects Clustering by Learning and Optimizing Feature Weights

A Deep Neural Network Classification Approach for Alzheimer’s Disease Diagnosis

Decision of Neural Networks Hyperparameters with a Population-based Algorithm

Keynote Lecture: Recent Advances in Recommender Systems: Sets, Local Models, Coverage, and Errors

Calibrating the Classifier: Siamese Neural Network Architecture for End-to-End Arousal Recognition from ECG

Crawling in Rogue’s Dungeons with (Partitioned) A3C

Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search

A Framework to Automatically Extract Funding Information from Text

Designing Ships using Constrained Multi-Objective Efficient Global Optimization

User Preferences in Bayesian Multi-objective Optimization: the Expected Weighted Hypervolume Improvement Criterion

Learning Consistent Tree-augmented Dynamic Bayesian Networks