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Table of Contents
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 Network Trained on Digit Permutation Pairs
Modelling and Reasoning
CatIO
Framework for Model Based Diagnosis of Cyber-Physical Systems
Data Publishing: Availibility of data under Security Policies
Preliminary work
Matrix Factorization based Heuristics Learning for Solving Constraint Satisfaction Problems
Explaining object motion using answer set programming
The GraphBRAIN System for Knowledge Graph Management and Advanced Fruition
Mining Exceptional Mediation Models
Machine Learning Applications
Multivariate predictive clustering trees for classification
Comparison of Machine Learning Methods to Detect Anomalies in the Activity of Dairy Cows
Clustering Algorithm Consistency in Fixed Dimensional Spaces
Estimating the Importance of Relational Features by using Gradient Boosting
Multi-objective Discrete Moth-Flame Optimization for Complex Network Clustering
Predicting associations between proteins and multiple diseases
Short Papers
Exploiting Answer Set Programming for Building Explainable Recommendations
Tailoring Random Forest for Requirements Classification
On the Design of a Natural Logic System for Knowledge Bases
Evaluation of post-hoc XAI approaches through synthetic tabular data
SimLoss: Class Similarities in Cross Entropy
Efficient and Precise Classification of CT Scannings of Renal Tumors using Convolutional Neural Networks
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain
A Parallelized Variant of Junkers QUICKXPLAIN Algorithm.
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 Network Trained on Digit Permutation Pairs
Modelling and Reasoning
CatIO
Framework for Model Based Diagnosis of Cyber-Physical Systems
Data Publishing: Availibility of data under Security Policies
Preliminary work
Matrix Factorization based Heuristics Learning for Solving Constraint Satisfaction Problems
Explaining object motion using answer set programming
The GraphBRAIN System for Knowledge Graph Management and Advanced Fruition
Mining Exceptional Mediation Models
Machine Learning Applications
Multivariate predictive clustering trees for classification
Comparison of Machine Learning Methods to Detect Anomalies in the Activity of Dairy Cows
Clustering Algorithm Consistency in Fixed Dimensional Spaces
Estimating the Importance of Relational Features by using Gradient Boosting
Multi-objective Discrete Moth-Flame Optimization for Complex Network Clustering
Predicting associations between proteins and multiple diseases
Short Papers
Exploiting Answer Set Programming for Building Explainable Recommendations
Tailoring Random Forest for Requirements Classification
On the Design of a Natural Logic System for Knowledge Bases
Evaluation of post-hoc XAI approaches through synthetic tabular data
SimLoss: Class Similarities in Cross Entropy
Efficient and Precise Classification of CT Scannings of Renal Tumors using Convolutional Neural Networks
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain
A Parallelized Variant of Junkers QUICKXPLAIN Algorithm.