Advances in Intelligent Data Analysis XXI 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings /
This book constitutes the proceedings of the 21st International Symposium on Intelligent Data Analysis, IDA 2022, which was held in Louvain-la-Neuve, Belgium, during April 12-14, 2023. The 38 papers included in this book were carefully reviewed and selected from 91 submissions. IDA is an internation...
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| Andere auteurs: | , , |
| Formaat: | Elektronisch E-boek |
| Taal: | Engels |
| Gepubliceerd in: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
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| Editie: | 1st ed. 2023. |
| Reeks: | Lecture Notes in Computer Science,
13876 |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1007/978-3-031-30047-9 |
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Inhoudsopgave:
- 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
- Don’t 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.