Advances in Intelligent Data Analysis XIX: 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 2628, 2021, Proceedings 1st ed. 2021 [Pehme köide]

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-freeBayesian 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.