Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 1214, 2023, Proceedings 1st ed. 2023 [Mīkstie vāki]

 Contextual Word Embeddings Clustering through Multiway Analysis: A
Comparative Study.- Transferable Deep Metric Learning for
Clustering.- Spatial Graph Convolution Neural Networks for Water Distribution
Systems.- Data-Centric Perspective on Explainability versus Performance
Trade-off.- Towards Data Science Design Patterns.- Diverse Paraphrasing with
Insertion Models for Few-Shot Intent Detection.- LEMON: Alternative Sampling
for More Faithful Explanation through Local Surrogate Models.- GASTeN:
Generative Adversarial Stress Test Networks.- Learning Permutation-Invariant
Embeddings for Description Logic Concepts.- Diffusion
Transport Alignment.- Mind the Gap: Measuring Generalization Performance
Across Multiple Objectives.- Effects of Locality and Rule Language on
Explanations for Knowledge Graph Embeddings.- Shapley Values with Uncertain
Value Functions. -Revised Conditional t-SNE: Looking Beyond the Nearest
Neighbors.- On the Change of Decision Boundary and Loss in Learning with
Concept Drift.- AID4HAI: Automatic Idea Detection for Healthcare-Associated
Infections from Twitter, A Framework based on Active Learning and Transfer
Learning.- Explanations for Itemset Mining by Constraint Programming: A Case
Study using ChEMBL data.- Translated Texts Under the Lens: From Machine
Translation Detection to Source Language Identification.- Geolet: An
Interpretable Model for Trajectory Classification.- An investigation of
structures responsible for gender bias in BERT and DistilBERT.- Discovering
diverse top-k characteristic lists.- Online Influence Forest for Streaming
Anomaly Detection.- APs: a proxemic framework for social media interactions
modeling and analysis.- User Authentication via Multifaceted Mouse
Movementsand Outlier Exposure.- Explaining Black Box Reinforcement Learning
Agents Through Counterfactual Policies.- A GNN-based Architecture for
Group Detection from spatio-temporal Trajectory Data.- Discovering Rule Lists
with Preferred Variables.- Dont Start Your Data Labeling from Scratch:
OpSaLa - Optimized Data Sampling Before Labeling.- The Other Side of
Compression: Measuring Bias in Pruned Transformers.- Dropping incomplete
records is (not so) straightforward.- Meta-Learning for Automated Selection
of Anomaly Detectors for Semi-Supervised Datasets.- Should We Consider
On-Demand Analysis in Scale-Free Networks?.- ROCKAD: Transferring ROCKET to
whole time series anomaly detection.- Out-of-Distribution Generalisation with
Symmetry-Based Disentangled Representations.- Forecasting Electricity Prices:
an Optimize then Predict-based approach.- A Similarity-Guided Framework for
Error-Driven Discovery of Patient Neighbourhoods in EMA
Data.- QBERT:Generalist Model for Processing Questions.- On Compositionality
in Data Embedding.