UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 73

Sortiert nach

Distance-generalized Core Decomposition

Proceedings of the 2019 International Conference on Management of Data, 2019, p.1006-1023

2019

Volltextzugriff (PDF)

The Next Frontier: AI We Can Really Trust

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.427-440

Volltextzugriff (PDF)

Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers

2021

Volltextzugriff (PDF)

A Workflow for Generating Patient Counterfactuals in Lung Transplant Recipients

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023, p.291-306

2023

Volltextzugriff (PDF)

Domestic Hot Water Forecasting for Individual Housing with Deep Learning

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.223-235

Volltextzugriff (PDF)

Measuring the Burden of (Un)fairness Using Counterfactuals

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023, p.402-417

2023

Volltextzugriff (PDF)

Incorporating Physics-Based Models into Data Driven Approaches for Air Leak Detection in City Buses

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023, p.438-450

2023

Volltextzugriff (PDF)

curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023, p.423-437

2023

Volltextzugriff (PDF)

Predicting Drug Treatment for Hospitalized Patients with Heart Failure

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023, p.275-290

2023

Volltextzugriff (PDF)

Domain Adaptation with Maximum Margin Criterion with Application to Network Traffic Classification

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023, p.159-169

2023

Volltextzugriff (PDF)

Shrinkage Estimators for Uplift Regression

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.524-537

Volltextzugriff (PDF)

A Systematic Approach for Tracking the Evolution of XAI as a Field of Research

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.461-476

Volltextzugriff (PDF)

Multi-modal Terminology Management: Corpora, Data Models, and Implementations in TermStar

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.219-226

Volltextzugriff (PDF)

Local Centrality Minimization with Quality Guarantees

Proceedings of the ACM on Web Conference 2024, 2024, p.410-421

2024

Volltextzugriff (PDF)

A Stacked Bidirectional LSTM Model for Classifying Source Codes Built in MPLs

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.75-89

Volltextzugriff (PDF)

Towards Fairness Through Time

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.647-663

Volltextzugriff (PDF)

Exploring Counterfactual Explanations for Classification and Regression Trees

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.489-504

Volltextzugriff (PDF)

Co-clustering for Fair Recommendation

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.607-630

Volltextzugriff (PDF)

Embedded Face Recognition for Personalized Services in the Assistive Robotics

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.339-350

Volltextzugriff (PDF)

Federated Learning of Oligonucleotide Drug Molecule Thermodynamics with Differentially Private ADMM-Based SVM

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022, p.459-467

2022

Volltextzugriff (PDF)

Neural Maximum Independent Set

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.223-237

Volltextzugriff (PDF)

Graph Homomorphism Features: Why Not Sample?

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.216-222

Volltextzugriff (PDF)

Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.534-551

Volltextzugriff (PDF)

Supervised Clustering for Subgroup Discovery: An Application to COVID-19 Symptomatology

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.408-422

Volltextzugriff (PDF)

Optimized Federated Learning on Class-Biased Distributed Data Sources

Machine Learning and Principles and Practice of Knowledge Discovery in Databases, p.146-158

Volltextzugriff (PDF)

1 – 25 von 73

Suche als RSS-Feed

Aktive Filter

KollektionIngenta

ThemaArtificial Thinking

PublikationsformTagungsberichte

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(69)
Mit Volltextzugriff
(72)

Sprache

Englisch
(73)
Japanisch
(1)

Erscheinungsjahr

n.n

Kollektion

Neu hinzugefügt

... seit 90 Tagen
(1)

Menü

Weitere Dienste

Einstellungen

Distance-generalized Core Decomposition

The Next Frontier: AI We Can Really Trust

Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers

A Workflow for Generating Patient Counterfactuals in Lung Transplant Recipients

Domestic Hot Water Forecasting for Individual Housing with Deep Learning

Measuring the Burden of (Un)fairness Using Counterfactuals

Incorporating Physics-Based Models into Data Driven Approaches for Air Leak Detection in City Buses

curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection

Predicting Drug Treatment for Hospitalized Patients with Heart Failure

Domain Adaptation with Maximum Margin Criterion with Application to Network Traffic Classification

Shrinkage Estimators for Uplift Regression

A Systematic Approach for Tracking the Evolution of XAI as a Field of Research

Multi-modal Terminology Management: Corpora, Data Models, and Implementations in TermStar

Local Centrality Minimization with Quality Guarantees

A Stacked Bidirectional LSTM Model for Classifying Source Codes Built in MPLs

Towards Fairness Through Time

Exploring Counterfactual Explanations for Classification and Regression Trees

Co-clustering for Fair Recommendation

Embedded Face Recognition for Personalized Services in the Assistive Robotics

Federated Learning of Oligonucleotide Drug Molecule Thermodynamics with Differentially Private ADMM-Based SVM

Neural Maximum Independent Set

Graph Homomorphism Features: Why Not Sample?

Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data

Supervised Clustering for Subgroup Discovery: An Application to COVID-19 Symptomatology

Optimized Federated Learning on Class-Biased Distributed Data Sources

Aktive Filter

Suchergebnisse filtern