Interpretable Machine Learning with Bitonic Generalized Additive Models and Automatic Feature Construction

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:DS (23. : 2020 : Online) Discovery science
1. Verfasser: Cherrier, Noëlie (VerfasserIn)
Weitere Verfasser: Mayo, Michael (VerfasserIn), Poli, Jean-Philippe (VerfasserIn), Defurne, Maxime (VerfasserIn), Sabatié, Franck (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2020
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Semantic Annotation of Predictive Modelling Experiments 2020 Tolovski, Ilin
Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema 2020 Kostovska, Ana
COVID-19 Therapy Target Discovery with Context-Aware Literature Mining 2020 Martinc, Matej
Assembled Feature Selection for Credit Scoring in Microfinance with Non-traditional Features 2020 Ruiz, Saulo
FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier 2020 Zhang, Wenbin
Nets Versus Trees for Feature Ranking and Gene Network Inference 2020 Vecoven, Nicolas
Balancing Between Scalability and Accuracy in Time-Series Classification for Stream and Batch Settings 2020 Glenis, Apostolos
Federated Ensemble Regression Using Classification 2020 Orhobor, Oghenejokpeme I.
Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology 2020 Orhobor, Oghenejokpeme I.
On the Utilization of Structural and Textual Information of a Scientific Knowledge Graph to Discover Future Research Collaborations: A Link Prediction Perspective 2020 Giarelis, Nikolaos
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains 2020 Bohlender, Simon
Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from? 2020 Unnikrishnan, Vishnu
Constrained Clustering via Post-processing 2020 Nghiem, Nguyen-Viet-Dung
Unsupervised Concept Drift Detection Using a Student-Teacher Approach 2020 Cerqueira, Vitor
Predicting and Explaining Privacy Risk Exposure in Mobility Data 2020 Naretto, Francesca
Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors 2020 Impedovo, Angelo
Hierarchy Decomposition Pipeline: A Toolbox for Comparison of Model Induction Algorithms on Hierarchical Multi-label Classification Problems 2020 Vidulin, Vedrana
Attention in Recurrent Neural Networks for Energy Disaggregation 2020 Gkalinikis, Nikolaos Virtsionis
Detecting Temporal Anomalies in Business Processes Using Distance-Based Methods 2020 Mavroudopoulos, loannis
Spatiotemporal Traffic Anomaly Detection on Urban Road Network Using Tensor Decomposition Method 2020 Tišljarić, Leo
Alle Artikel auflisten