Foundations of Intelligent Systems

Invited Talks.- Complementing Behavioural Modeling with Cognitive Modeling for Better Recommendations.- Nominees for Best Paper Award.- The Construction of Action Rules to Raise Artwork Prices.- Metric-Guided Multi-Task Learning.- Sentiment Analysis with Contextual Embeddings and Self-Attention.- Nominees for Best Student Paper Award.- Interpretable Segmentation of Medical Free-Text Records Based on Word Embeddings.- Decision-Making with Probabilistic Reasoning in Engineering Design.- Hyperbolic embeddings for hierarchical multi-label classification.- Natural Language Processing.- Joint Multiclass Debiasing of Word Embeddings.- Recursive Neural Text Classification using Discourse Tree Structure for Argumentation Mining and Sentiment Analysis Tasks.- Named Entity Recommendations to Enhance Multilingual Retrieval in Europeana.eu.- A Deep Learning Approach to Fake News Detection.- Satirical News Detection with Semantic Feature Extraction and Game-theoretic Rough Sets.- Deep Learning and Embeddings.- Comparing state-of-the-art neural network ensemble methods in soccer predictions.- Static Music Emotion Recognition Using Recurrent Neural Networks.- Saliency detection in hyperspectral images using autoencoder-based data reconstruction.- Mesoscale Anisotropically-Connected Learning.- Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering.- Neural spike sorting using unsupervised adversarial learning.- Digital Signal Processing.- Poriferal Vision: Classifying benthic sponge spicules to assess historical impacts of marine climate change.- Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring.- Ranking Speech Features for their Usage in Singing Classification.- Leveraging Machine Learning in IoT to predict the trustworthiness of Mobile Crowd Sensing data.- A Hierarchical-Based Web-Platform for Crowdsourcing Distinguishable Image Patches.- Performing Arithmetic Using a Neural