UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 119

Sortiert nach

Competition and Collaboration in Cooperative Coevolution of Elman Recurrent Neural Networks for Time-Series Prediction

IEEE transaction on neural networks and learning systems, 2015-12, Vol.26 (12), p.3123-3136

Chandra, Rohitash

2015

Link zum Volltext
IEEE_Xplore

COVID-19 sentiment analysis via deep learning during the rise of novel cases

PloS one, 2021-08, Vol.16 (8), p.e0255615

2021

Link zum Volltext

Verfügbarkeit prüfen

Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic

PloS one, 2021-07, Vol.16 (7), p.e0253217-e0253217

2021

Link zum Volltext

Verfügbarkeit prüfen

Artificial intelligence for topic modelling in Hindu philosophy: Mapping themes between the Upanishads and the Bhagavad Gita

PloS one, 2022-09, Vol.17 (9), p.e0273476-e0273476

2022

Link zum Volltext

Verfügbarkeit prüfen

Deep learning via LSTM models for COVID-19 infection forecasting in India

PloS one, 2022-01, Vol.17 (1), p.e0262708-e0262708

2022

Link zum Volltext

Verfügbarkeit prüfen

A review of machine learning in processing remote sensing data for mineral exploration

Remote sensing of environment, 2022-01, Vol.268, p.112750, Article 112750

2022

Link zum Volltext

Verfügbarkeit prüfen

Evaluation of Deep Learning Models for Multi-Step Ahead Time Series Prediction

IEEE access, 2021, Vol.9, p.83105-83123

2021

Link zum Volltext

Verfügbarkeit prüfen

SMOTified-GAN for Class Imbalanced Pattern Classification Problems

IEEE access, 2022, Vol.10, p.30655-30665

2022

Link zum Volltext

Verfügbarkeit prüfen

Bayesian neural networks via MCMC: a Python-based tutorial

IEEE access, 2024-01, Vol.12, p.1-1

2024

Link zum Volltext

Verfügbarkeit prüfen

Biden vs Trump: Modeling US General Elections Using BERT Language Model

IEEE access, 2021, Vol.9, p.128494-128505

2021

Link zum Volltext

Verfügbarkeit prüfen

Semantic and Sentiment Analysis of Selected Bhagavad Gita Translations Using BERT-Based Language Framework

IEEE access, 2022, Vol.10, p.21291-21315

2022

Link zum Volltext

Verfügbarkeit prüfen

Deep learning for predicting respiratory rate from biosignals

Computers in biology and medicine, 2022-05, Vol.144, p.105338-105338, Article 105338

2022

Link zum Volltext

Verfügbarkeit prüfen

A Comparative Study of Convolutional Neural Networks and Conventional Machine Learning Models for Lithological Mapping Using Remote Sensing Data

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (4), p.819

2022

Link zum Volltext

Verfügbarkeit prüfen

Large Language Models for Metaphor Detection: Bhagavad Gita and Sermon on the Mount

IEEE access, 2024, Vol.12, p.84452-84469

2024

Link zum Volltext

Verfügbarkeit prüfen

A Quantum-Inspired Predator–Prey Algorithm for Real-Parameter Optimization

Algorithms, 2024-01, Vol.17 (1), p.33

2024

Link zum Volltext

Verfügbarkeit prüfen

Integration of Selective Dimensionality Reduction Techniques for Mineral Exploration Using ASTER Satellite Data

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (8), p.1261

2020

Link zum Volltext

Verfügbarkeit prüfen

Unsupervised machine learning framework for discriminating major variants of concern during COVID-19

PloS one, 2023-05, Vol.18 (5), p.e0285719-e0285719

2023

Link zum Volltext

Verfügbarkeit prüfen

Reef-Insight: A Framework for Reef Habitat Mapping with Clustering Methods Using Remote Sensing

Information (Basel), 2023-07, Vol.14 (7), p.373

2023

Link zum Volltext

Verfügbarkeit prüfen

Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models

Di xue qian yuan., 2021-01, Vol.12 (1), p.479-493

2021

Link zum Volltext

Verfügbarkeit prüfen

ReefCoreSeg: A Clustering-Based Framework for Multi-Source Data Fusion for Segmentation of Reef Drill Cores

IEEE access, 2024, Vol.12, p.12164-12180

2024

Link zum Volltext

Verfügbarkeit prüfen

Revisiting Bayesian Autoencoders With MCMC

IEEE access, 2022, Vol.10, p.40482-40495

2022

Link zum Volltext

Verfügbarkeit prüfen

Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction

Neurocomputing (Amsterdam), 2012-06, Vol.86, p.116-123

2012

Link zum Volltext

Verfügbarkeit prüfen

Bayesian neural multi-source transfer learning

Neurocomputing (Amsterdam), 2020-02, Vol.378, p.54-64

2020

Link zum Volltext

Verfügbarkeit prüfen

Distributed Bayesian optimisation framework for deep neuroevolution

Neurocomputing (Amsterdam), 2022-01, Vol.470, p.51-65

2022

Link zum Volltext

Verfügbarkeit prüfen

Gradient boosting Bayesian neural networks via Langevin MCMC

Neurocomputing (Amsterdam), 2023-11, Vol.558, p.126726, Article 126726

2023

Link zum Volltext

Verfügbarkeit prüfen

1 – 25 von 119

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(88)
Mit Volltextzugriff
(112)

Publikationsform

Sprache

Englisch
(119)
Japanisch
(6)

Erscheinungsjahr

n.n

Thema

Science & Technology
(97)
Technology
(84)
Computer Science
(79)
Computer Science, Artificial Intelligence
(56)
Engineering
(35)
Engineering, Electrical & Electronic
(25)
Neural Networks
(23)
Machine Learning
(21)
Physical Sciences
(21)
Recurrent Neural Networks
(21)
Deep Learning
(19)
Computer Science, Theory & Methods
(18)
Training
(18)
Computer Science, Interdisciplinary Applications
(17)
Neurons
(17)
Cooperative Coevolution
(16)
Genetic Algorithms
(14)
Time Series Analysis
(13)
Geology
(12)
Mathematical Models
(12)

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

5 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 90 Tagen
(4)

Menü

Weitere Dienste

Einstellungen

Competition and Collaboration in Cooperative Coevolution of Elman Recurrent Neural Networks for Time-Series Prediction

COVID-19 sentiment analysis via deep learning during the rise of novel cases

Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic

Artificial intelligence for topic modelling in Hindu philosophy: Mapping themes between the Upanishads and the Bhagavad Gita

Deep learning via LSTM models for COVID-19 infection forecasting in India

A review of machine learning in processing remote sensing data for mineral exploration

Evaluation of Deep Learning Models for Multi-Step Ahead Time Series Prediction

SMOTified-GAN for Class Imbalanced Pattern Classification Problems

Bayesian neural networks via MCMC: a Python-based tutorial

Biden vs Trump: Modeling US General Elections Using BERT Language Model

Semantic and Sentiment Analysis of Selected Bhagavad Gita Translations Using BERT-Based Language Framework

Deep learning for predicting respiratory rate from biosignals

A Comparative Study of Convolutional Neural Networks and Conventional Machine Learning Models for Lithological Mapping Using Remote Sensing Data

Large Language Models for Metaphor Detection: Bhagavad Gita and Sermon on the Mount

A Quantum-Inspired Predator–Prey Algorithm for Real-Parameter Optimization

Integration of Selective Dimensionality Reduction Techniques for Mineral Exploration Using ASTER Satellite Data

Unsupervised machine learning framework for discriminating major variants of concern during COVID-19

Reef-Insight: A Framework for Reef Habitat Mapping with Clustering Methods Using Remote Sensing

Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models

ReefCoreSeg: A Clustering-Based Framework for Multi-Source Data Fusion for Segmentation of Reef Drill Cores

Revisiting Bayesian Autoencoders With MCMC

Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction

Bayesian neural multi-source transfer learning

Distributed Bayesian optimisation framework for deep neuroevolution

Gradient boosting Bayesian neural networks via Langevin MCMC

Suchergebnisse filtern