• Suche: Active Machine Learning with Python

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81

PyGAD: an intuitive genetic algorithm Python library
Ahmed Fawzy Gad
Multimedia Tools and Applications. 83:58029-58042

FOS: Computer and inform... Computer Science - Machi... 0203 mechanical engineer... Optimization and Control... Computer Vision and Patt... Computer Science - Compu... …
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82

Machine Learning to Calculate Heparin Dose in COVID-19 Patients with Active Cancer.
Imbalzano E ; Orlando L ; Sciacqua A ; et al.
Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101606588 Publication Model: Electronic Cited Medium: Print ISSN: 2077-0383 (Print) Linking ISSN: 20770383 NLM ISO Abbreviation: J Clin Med Subsets: PubMed not MEDLINE

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83

ELM2.1-XGBfire1.0: improving wildfire prediction by integrating a machine learning fire model in a land surface model.
Liu, Ye ; Huang, Huilin ; Wang, Sing-Chun ; et al.
Geoscientific Model Development. 2025, Vol. 18 Issue 13, p4103-4117. 15p.

UNITED States WILDFIRES MACHINE learning FIRE risk assessment CLIMATE feedbacks ATMOSPHERIC models …
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84

RAL - Improving Stream-Based Active Learning by Reinforcement Learning
Wassermann, Sarah ; Cuvelier, Thibaut ; Casas, Pedro ; et al.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Workshop on Interactive Adaptive Learning (IAL), Sep 2019, Würzburg, Germany

Würzburg, Germany Stream-based active lear... reinforcement learning bandits [INFO.INFO-NI]Computer S... Networking and Internet... …
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85

CIRCA-CircularRNA for Cancer Active Immunotherapy: A Machine Learning Model to Predict Liver Cancer and Top Genes for Cancer Vaccine.
Koushik, Aditya Kiran
New Mexico Journal of Science. Dec2022, Vol. 56, p36-66. 31p.

CIRCULAR RNA CANCER genes DNA vaccines LIVER cancer CANCER vaccines MACHINE learning …
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86

Multiplayer Perceptron and Simple Regression Linear Approaches to Predict Photovoltaic Active Power Plant: Case Study
APALOO BARA Komla Kpomonè ; PALANGA Eyouleki Tcheyi Gnadi ; APEKE Séna
International Journal of Research and Review. 10:42-56

Artificial neural networ... Artificial intelligence Electricity Price and Lo... 7. Clean energy Wind speed Engineering …
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87

DPDispatcher: Scalable HPC Task Scheduling for AI-Driven Science.
Yuan F ; Ding Z ; Liu YP ; et al.
Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE

Machine Learning Workflow Artificial Intelligence Software
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88

Development of a NARX State-of-Charge Predictor based on Active Power Demand
Crain, Alexander ; Rebello, Eldrich ; Sherwood, Adam ; et al.
2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge). :1-5

modelling machine learning NARX neural network energy storage system 7. Clean energy …
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89

PyGAD: An Intuitive Genetic Algorithm Python Library
Gad, Ahmed Fawzy

Computer Science - Neura... Computer Science - Compu... Computer Science - Machi... Mathematics - Optimizati...
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90

SemSegLoss: A python package of loss functions for semantic segmentation
Jadon, Shruti

Computer Science - Machi... Computer Science - Compu... Electrical Engineering a...
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91

Automatic analysis of magnetograms for identification and classification of active regions using Deep Learning
André Leon Sampaio Gradvohl ; Letícia Sousa De Oliveira
Revista Brasileira de Computação Aplicada. 12:67-79

13. Climate action 0103 physical sciences 01 natural sciences 7. Clean energy
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92

SUnAA: Sparse Unmixing using Archetypal Analysis
Rasti, Behnood ; Zouaoui, Alexandre ; Mairal, Julien ; et al.
IEEE Geoscience and Remote Sensing Letters. 20:1-5

Hyperspectral imaging sparse unmixing semisupervised unmixing archetypal analysis active set algorithm [INFO.INFO-CV]Computer S... …
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93

TimeGym: Debugging for Time Series Modeling in Python
Seca, Diogo

Computer Science - Machi...
Report
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94

PyGAD: an intuitive genetic algorithm Python library.
Gad, Ahmed Fawzy
Multimedia Tools & Applications; Jun2024, Vol. 83 Issue 20, p58029-58042, 14p

PYTHON programming langu... DEEP learning LIFE cycles (Biology) EVOLUTIONARY algorithms
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95

Facilitating rapid prototyping in the distributed data analytics platform OODIDA via active-code replacement
Ulm, Gregor ; Smith, Simon ; Nilsson, Adrian ; et al.
In Array December 2020 8

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96

Structure-Activity relationship of Quercetin and its Tumor Necrosis Factor Alpha inhibition activity by computational and machine learning methods
Ben Geoffrey, A.S. ; Christian Prasana, Johanan ; Muthu, S.
In Materials Today: Proceedings 2022 50 Part 7:2609-2614

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97

Catalyst design and tuning for oxidative dehydrogenation of propane – A review
Gambo, Yahya ; Adamu, Sagir ; Abdulrasheed, Abdulrahman A. ; et al.
In Applied Catalysis A, General 5 January 2021 609

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98

Machine learning approaches for real-time monitoring and evaluation of surface roughness using a sensory milling tool
Möhring, H.-C. ; Eschelbacher, S. ; Georgi, P.
In Procedia CIRP 2021 102:264-269

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99

A Deep Learning-Based Framework for Sentiment and Emotion Classification of Social Media Messages During Pandemic Periods.
Yu, Feng ; Liu, Jian Ming
Journal of Circuits, Systems & Computers. 2/15/2025, Vol. 35 Issue 3, p1-32. 32p.

TWITTER (Web resource) SENTIMENT analysis EMOTION recognition ELECTRONIC data processi... DEEP learning MACHINE learning …
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100

Autonomous exploration, active learning and human guidance with open-source Poppy humanoid robot platform and Explauto library
Forestier, Sébastien ; Mollard, Yoan ; Caselli, Damien ; et al.
The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS 2016), Dec 2016, Barcelona, Spain

Barcelona, Spain [INFO.INFO-AI]Computer S... Artificial Intelligence... [INFO.INFO-LG]Computer S... Machine Learning [cs.LG]
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