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...

Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition

Methods (San Diego, Calif.), 2020-08, Vol.180, p.89-110

2020

Volltextzugriff (PDF)

Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence

Information (Basel), 2020-04, Vol.11 (4), p.193

2020

Volltextzugriff (PDF)

Deep neural networks for rank-consistent ordinal regression based on conditional probabilities

Pattern analysis and applications : PAA, 2023-08, Vol.26 (3), p.941-955

2023

Volltextzugriff (PDF)

MLxtend: Providing machine learning and data science utilities and extensions to Python’s scientific computing stack

Journal of open source software, 2018-04, Vol.3 (24), p.638

Raschka, Sebastian

2018

Volltextzugriff (PDF)

FlowSAN: Privacy-Enhancing Semi-Adversarial Networks to Confound Arbitrary Face-Based Gender Classifiers

IEEE access, 2019, Vol.7, p.99735-99745

2019

Volltextzugriff (PDF)

Automated discovery of GPCR bioactive ligands

Current opinion in structural biology, 2019-04, Vol.55, p.17-24

Raschka, Sebastian

2019

Volltextzugriff (PDF)

Looking Back to Lower-Level Information in Few-Shot Learning

Information (Basel), 2020-07, Vol.11 (7), p.345

2020

Volltextzugriff (PDF)

Machine Learning to Identify Flexibility Signatures of Class A GPCR Inhibition

Biomolecules (Basel, Switzerland), 2020-03, Vol.10 (3), p.454

2020

Volltextzugriff (PDF)

Rank consistent ordinal regression for neural networks with application to age estimation

Pattern recognition letters, 2020-12, Vol.140, p.325-331

2020

Volltextzugriff (PDF)

PrivacyNet: Semi-Adversarial Networks for Multi-Attribute Face Privacy

IEEE transactions on image processing, 2020-01, Vol.29, p.9400-9412

2020

Volltextzugriff (PDF)

Machine Learning mit Python und Keras, TensorFlow 2 und Scikit-learn: Das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics

3, 2021

Volltextzugriff (PDF)

Machine Learning mit Python und Scikit-Learn und TensorFlow: Das umfassende Praxis-Handbuch für Data Science, Predictive Analytics und Deep Learning

2, 2017

Volltextzugriff (PDF)

Machine Learning mit Python und Scikit-Learn und TensorFlow: Das Praxis-Handbuch für Data Science, Predictive Analytics und Deep Learning

2018, 2017

Volltextzugriff (PDF)

BioPandas: Working with molecular structures in pandas DataFrames

Journal of open source software, 2017-06, Vol.2 (14), p.279

Raschka, Sebastian

2017

Volltextzugriff (PDF)

Protein–ligand interfaces are polarized: discovery of a strong trend for intermolecular hydrogen bonds to favor donors on the protein side with implications for predicting and designing ligand complexes

Journal of computer-aided molecular design, 2018-04, Vol.32 (4), p.511-528

2018

Volltextzugriff (PDF)

Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness

Computational communication research, 2022-02, Vol.4 (1)

2022

Volltextzugriff (PDF)

When Few-Shot Learning Meets Video Object Detection

2022 26th International Conference on Pattern Recognition (ICPR), 2022, p.2986-2992

2022

Volltextzugriff (PDF)

Detecting the native ligand orientation by interfacial rigidity: SiteInterlock: Identifying Ligand Binding Poses by Rigidity

Proteins, structure, function, and bioinformatics, 2016-12, Vol.84 (12), p.1888-1901

2016

Volltextzugriff (PDF)

Detecting the native ligand orientation by interfacial rigidity: SiteInterlock

Proteins, structure, function, and bioinformatics, 2016-12, Vol.84 (12), p.1888-1901

2016

Volltextzugriff (PDF)

Automated Inference of Chemical Discriminants of Biological Activity

Methods in molecular biology (Clifton, N.J.), 2018-01, Vol.1762, p.307

2018

Volltextzugriff (PDF)

Ten quick tips for deep learning in biology

PLoS computational biology, 2022-03, Vol.18 (3), p.e1009803-e1009803

2022

Volltextzugriff (PDF)

Enabling the hypothesis-driven prioritization of ligand candidates in big databases: Screenlamp and its application to GPCR inhibitor discovery for invasive species control

Journal of computer-aided molecular design, 2018-03, Vol.32 (3), p.415-433

2018

Volltextzugriff (PDF)

Machine Learning mit Python und Keras, TensorFlow 2 und Scikit-learn: Das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics

2021, 2021

Volltextzugriff (PDF)

Uncovering Hidden Patterns of Molecular Recognition

Raschka, Sebastian

2017

Volltextzugriff (PDF)

Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images

2018 International Conference on Biometrics (ICB), 2018, p.82-89

2018

Volltextzugriff (PDF)

1 – 25 von 76

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(16)
Mit Volltextzugriff
(73)

Publikationsform

Sprache

Deutsch
(53)
Englisch
(23)

Erscheinungsjahr

n.n

Thema

Science & Technology
(17)
Machine Learning
(13)
Deep Learning
(11)
Life Sciences & Biomedicine
(10)
Computer Science
(9)
Technology
(9)
Biochemistry & Molecular Biology
(7)
Ligands
(6)
Neural Networks
(6)
Biometrics
(5)
Computer Science, Artificial Intelligence
(4)
Perturbation Methods
(4)
Privacy
(4)
Protein Binding
(4)
Python
(4)
Algorithmen
(3)
Big Data
(3)
Biophysics
(3)
Classifiers
(3)
Computer Science, Information Systems
(3)

15 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition

Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence

Deep neural networks for rank-consistent ordinal regression based on conditional probabilities

MLxtend: Providing machine learning and data science utilities and extensions to Python’s scientific computing stack

FlowSAN: Privacy-Enhancing Semi-Adversarial Networks to Confound Arbitrary Face-Based Gender Classifiers

Automated discovery of GPCR bioactive ligands

Looking Back to Lower-Level Information in Few-Shot Learning

Machine Learning to Identify Flexibility Signatures of Class A GPCR Inhibition

Rank consistent ordinal regression for neural networks with application to age estimation

PrivacyNet: Semi-Adversarial Networks for Multi-Attribute Face Privacy

Machine Learning mit Python und Keras, TensorFlow 2 und Scikit-learn: Das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics

Machine Learning mit Python und Scikit-Learn und TensorFlow: Das umfassende Praxis-Handbuch für Data Science, Predictive Analytics und Deep Learning

Machine Learning mit Python und Scikit-Learn und TensorFlow: Das Praxis-Handbuch für Data Science, Predictive Analytics und Deep Learning

BioPandas: Working with molecular structures in pandas DataFrames

Protein–ligand interfaces are polarized: discovery of a strong trend for intermolecular hydrogen bonds to favor donors on the protein side with implications for predicting and designing ligand complexes

Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness

When Few-Shot Learning Meets Video Object Detection

Detecting the native ligand orientation by interfacial rigidity: SiteInterlock: Identifying Ligand Binding Poses by Rigidity

Detecting the native ligand orientation by interfacial rigidity: SiteInterlock

Automated Inference of Chemical Discriminants of Biological Activity

Ten quick tips for deep learning in biology

Enabling the hypothesis-driven prioritization of ligand candidates in big databases: Screenlamp and its application to GPCR inhibitor discovery for invasive species control

Machine Learning mit Python und Keras, TensorFlow 2 und Scikit-learn: Das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics

Uncovering Hidden Patterns of Molecular Recognition

Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images

Suchergebnisse filtern