UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Augmenting interpretable models with large language models during training

Nature communications, 2023-11, Vol.14 (1), p.7913-7913, Article 7913

2023

Volltextzugriff (PDF)

Improving Data‐Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere

Journal of advances in modeling earth systems, 2020-09, Vol.12 (9), p.n/a

2020

Volltextzugriff (PDF)

Can Machines Learn to Predict Weather? Using Deep Learning to Predict Gridded 500‐hPa Geopotential Height From Historical Weather Data

Journal of advances in modeling earth systems, 2019-08, Vol.11 (8), p.2680-2693

2019

Volltextzugriff (PDF)

Sub‐Seasonal Forecasting With a Large Ensemble of Deep‐Learning Weather Prediction Models

Journal of advances in modeling earth systems, 2021-07, Vol.13 (7), p.n/a

2021

Volltextzugriff (PDF)

Data-Mining Discovery of Pattern and Process in Ecological Systems

The Journal of wildlife management, 2007-09, Vol.71 (7), p.2427-2437

2007

Volltextzugriff (PDF)

Multitask Learning

Machine learning, 1997-07, Vol.28 (1), p.41

Caruana, Rich

1997

Volltextzugriff (PDF)

Considerations when learning additive explanations for black-box models

Machine learning, 2023-09, Vol.112 (9), p.3333-3359

2023

Volltextzugriff (PDF)

753 INTERPRETABLE MACHINE LEARNING PREDICTIVE MODEL TO UNDERSTAND RISK FACTORS FOR EARLY ONSET COLORECTAL CANCER

Gastroenterology (New York, N.Y. 1943), 2024-05, Vol.166 (5), p.S-178-S-178

2024

Volltextzugriff (PDF)

How Interpretable and Trustworthy are GAMs?

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021, p.95-105

2021

Volltextzugriff (PDF)

Sparse Partially Linear Additive Models

Journal of computational and graphical statistics, 2016-12, Vol.25 (4), p.1126-1140

2016

Volltextzugriff (PDF)

Data-Intensive Science: A New Paradigm for Biodiversity Studies

Bioscience, 2009-07, Vol.59 (7), p.613-620

2009

Volltextzugriff (PDF)

102 - UNDERSTANDING AGE AS A RISK FACTOR FOR COMPLICATIONS AFTER TOTAL KNEE ARTHROPLASTY: WHAT CAN WE LEARN FROM MACHINE LEARNING?

Osteoarthritis and cartilage, 2024-04, Vol.32, p.S79-S80

2024

Volltextzugriff (PDF)

UNDERSTANDING AGE AS A RISK FACTOR FOR COMPLICATIONS AFTER TOTAL KNEE ARTHROPLASTY: WHAT CAN WE LEARN FROM MACHINE LEARNING?

Osteoarthritis and cartilage, 2024-04, Vol.32, p.S79-S80

2024

Volltextzugriff (PDF)

Understanding risk factors for shoulder dystocia using interpretable machine learning

American journal of obstetrics and gynecology, 2023-01, Vol.228 (1), p.S753-S753

2023

Volltextzugriff (PDF)

Unique insights into risk factors for antepartum stillbirth using explainable AI

American journal of obstetrics and gynecology, 2023-01, Vol.228 (1), p.S403-S404

2023

Volltextzugriff (PDF)

Predicting severe maternal morbidity at admission for delivery using intelligible machine learning

American journal of obstetrics and gynecology, 2023-01, Vol.228 (1), p.S404-S405

2023

Volltextzugriff (PDF)

Preterm preeclampsia prediction using intelligible machine learning

American journal of obstetrics and gynecology, 2023-01, Vol.228 (1), p.S409-S409

2023

Volltextzugriff (PDF)

1017 Insights into severe maternal morbidity in the NTSV population

American journal of obstetrics and gynecology, 2021-02, Vol.224 (2), p.S629-S630

2021

Volltextzugriff (PDF)

46 Length of labor and severe maternal morbidity in the NTSV population

American journal of obstetrics and gynecology, 2021-02, Vol.224 (2), p.S33-S33

2021

Volltextzugriff (PDF)

Automated interpretable discovery of heterogeneous treatment effectiveness: A COVID-19 case study

Journal of biomedical informatics, 2022-06, Vol.130, p.104086-104086, Article 104086

2022

Volltextzugriff (PDF)

Self-Optimizing Memory Controllers: A Reinforcement Learning Approach

2008 International Symposium on Computer Architecture, 2008, p.39-50

2008

Volltextzugriff (PDF)

Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015, p.1721-1730

2015

Volltextzugriff (PDF)

Interpretable machine learning predicts postpartum hemorrhage with severe maternal morbidity in a lower-risk laboring obstetric population

American journal of obstetrics & gynecology MFM, 2024-08, Vol.6 (8), p.101391, Article 101391

2024

Volltextzugriff (PDF)

Intelligible models for classification and regression

Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, 2012, p.150-158

2012

Volltextzugriff (PDF)

Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018, p.303-310

2018

Volltextzugriff (PDF)

1 – 25 von 95

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(36)
Mit Volltextzugriff
(89)

Publikationsform

1 weiteren anzeigen...

Weniger anzeigen...

Sprache

Englisch
(95)
Japanisch
(1)

Erscheinungsjahr

n.n

Menü

Weitere Dienste

Einstellungen

Augmenting interpretable models with large language models during training

Improving Data‐Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere

Can Machines Learn to Predict Weather? Using Deep Learning to Predict Gridded 500‐hPa Geopotential Height From Historical Weather Data

Sub‐Seasonal Forecasting With a Large Ensemble of Deep‐Learning Weather Prediction Models

Data-Mining Discovery of Pattern and Process in Ecological Systems

Multitask Learning

Considerations when learning additive explanations for black-box models

753 INTERPRETABLE MACHINE LEARNING PREDICTIVE MODEL TO UNDERSTAND RISK FACTORS FOR EARLY ONSET COLORECTAL CANCER

How Interpretable and Trustworthy are GAMs?

Sparse Partially Linear Additive Models

Data-Intensive Science: A New Paradigm for Biodiversity Studies

102 - UNDERSTANDING AGE AS A RISK FACTOR FOR COMPLICATIONS AFTER TOTAL KNEE ARTHROPLASTY: WHAT CAN WE LEARN FROM MACHINE LEARNING?

UNDERSTANDING AGE AS A RISK FACTOR FOR COMPLICATIONS AFTER TOTAL KNEE ARTHROPLASTY: WHAT CAN WE LEARN FROM MACHINE LEARNING?

Understanding risk factors for shoulder dystocia using interpretable machine learning

Unique insights into risk factors for antepartum stillbirth using explainable AI

Predicting severe maternal morbidity at admission for delivery using intelligible machine learning

Preterm preeclampsia prediction using intelligible machine learning

1017 Insights into severe maternal morbidity in the NTSV population

46 Length of labor and severe maternal morbidity in the NTSV population

Automated interpretable discovery of heterogeneous treatment effectiveness: A COVID-19 case study

Self-Optimizing Memory Controllers: A Reinforcement Learning Approach

Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission

Interpretable machine learning predicts postpartum hemorrhage with severe maternal morbidity in a lower-risk laboring obstetric population

Intelligible models for classification and regression

Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation

Suchergebnisse filtern