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1
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Complementing Behavioural Modeling with Cognitive Modeling for Better Recommendations
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2
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The Construction of Action Rules to Raise Artwork Prices
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3
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Metric-Guided Multi-task Learning
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4
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Sentiment Analysis with Contextual Embeddings and Self-attention
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5
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Interpretable Segmentation of Medical Free-Text Records Based on Word Embeddings
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6
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Decision-Making with Probabilistic Reasoning in Engineering Design
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7
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Hyperbolic Embeddings for Hierarchical Multi-label Classification
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8
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Joint Multiclass Debiasing of Word Embeddings
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9
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Recursive Neural Text Classification Using Discourse Tree Structure for Argumentation Mining and Sentiment Analysis Tasks
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10
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Named Entity Recommendations to Enhance Multilingual Retrieval in Europeana.eu
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11
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A Deep Learning Approach to Fake News Detection
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12
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Satirical News Detection with Semantic Feature Extraction and Game-Theoretic Rough Sets
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13
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Comparing State-of-the-Art Neural Network Ensemble Methods in Soccer Predictions
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14
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Static Music Emotion Recognition Using Recurrent Neural Networks
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15
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Saliency Detection in Hyperspectral Images Using Autoencoder-Based Data Reconstruction
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16
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Mesoscale Anisotropically-Connected Learning
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17
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Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering
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18
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Neural Spike Sorting Using Unsupervised Adversarial Learning
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19
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Poriferal Vision: Classifying Benthic Sponge Spicules to Assess Historical Impacts of Marine Climate Change
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20
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Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring
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21
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Ranking Speech Features for Their Usage in Singing Emotion Classification
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22
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Leveraging Machine Learning in IoT to Predict the Trustworthiness of Mobile Crowd Sensing Data
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23
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A Hierarchical-Based Web-Platform for Crowdsourcing Distinguishable Image Patches
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24
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Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs
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25
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CatIO - A Framework for Model-Based Diagnosis of Cyber-Physical Systems
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26
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Data Publishing: Availability of Data Under Security Policies
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27
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Matrix Factorization Based Heuristics Learning for Solving Constraint Satisfaction Problems
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28
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Explaining Object Motion Using Answer Set Programming
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29
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The GraphBRAIN System for Knowledge Graph Management and Advanced Fruition
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30
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Mining Exceptional Mediation Models
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31
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Multivariate Predictive Clustering Trees for Classification
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32
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Comparison of Machine Learning Methods to Detect Anomalies in the Activity of Dairy Cows
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33
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Clustering Algorithm Consistency in Fixed Dimensional Spaces
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34
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Estimating the Importance of Relational Features by Using Gradient Boosting
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35
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Multi-objective Discrete Moth-Flame Optimization for Complex Network Clustering
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36
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Predicting Associations Between Proteins and Multiple Diseases
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37
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Exploiting Answer Set Programming for Building explainable Recommendations
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38
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Tailoring Random Forest for Requirements Classification
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39
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On the Design of a Natural Logic System for Knowledge Bases
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40
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Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data
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41
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SimLoss: Class Similarities in Cross Entropy
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42
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Efficient and Precise Classification of CT Scannings of Renal Tumors Using Convolutional Neural Networks
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43
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Deep Autoencoder Ensembles for Anomaly Detection on Blockchain
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44
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A Parallelized Variant of Junker’s <sc>QuickXPlain</sc> Algorithm
