Modeling with Neural Networks
Hyperspherical Weight Uncertainty in Neural Networks
Partially Monotonic Learning for Neural Networks
Multiple-Manifold Generation with an Ensemble GAN and Learned Noise Prior
Simple, Efficient and Convenient Decentralized Multi-Task Learning for Neural Networks
Deep Hybrid Neural Networks with Improved Weighted Word Embeddings for Sentiment Analysis
Explaining Neural Networks by Decoding Layer Activations
Analogical Embedding for Analogy-based Learning to Rank
HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data
Modeling with Statistical Learning
Incremental Search Space Construction for Machine Learning Pipeline Synthesis
Adversarial Vulnerability of Active Transfer Learning
Revisiting Non-Specific Syndromic Surveillance
Gradient Ascent for Best Response Regression
Intelligent Structural Damage Detection: a Federated Learning Approach
Composite surrogate for likelihood-free Bayesian optimisation in high-dimensional settings of activity-based transportation models
Active Selection of Classification Features
Feature Selection for Hierarchical Multi-Label Classification
Bandit Algorithm for Both Unknown Best Position and Best Item Display on Web Pages
Performance prediction for hardware-software configurations: A case study for video games
avatar Automated Feature Wrangling for Machine Learning
Modeling Language and Graphs
Semantically Enriching Embeddings of Highly In ectable Verbs for Improving Intent Detection in a Romanian Home Assistant Scenario
BoneBert: A BERT-based Automated Information Extraction System of Radiology Reports for Bone Fracture Detection and Diagnosis
Linking the Dynamics of User Stance to the Structure of Online Discussions
Unsupervised Methods for the Study of Transformer Embeddings
A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces
DeepGG: a Deep Graph Generator
SINr: fast computing of Sparse Interpretable Node Representations is not a sin
Detection of contextual anomalies in attributed graphs
Ising-Based Louvain Method: Clustering Large Graphs with Specialized Hardware
Modeling Special Data Formats
Reducing Negative Impact of Noise in Boolean Matrix Factorization with Association Rules
Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots
muppets: Multipurpose Table Segmentation
SpLyCI: Integrating Spreadsheets by Recognising and Solving Layout Constraints
RTL: A Robust Time Series Labeling Algorithm
The Compromise of Data Privacy in Predictive Performance
Efficient Privacy Preserving Distributed K-Means for Non-IID Data.