• Suche: Active Machine Learning with Python

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101

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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102

Deep-Sea Trenches of the Pacific Ocean: a Comparative Analysis of the Submarine Geomorphology Using Data Modeling by GMT, Python and R
Lemenkova, Polina ; Schmidt United Institute of Physics of the Earth [Moscow] (IPE) ; Russian Academy of Sciences [Moscow] (RAS)

Data analysis Modelling Programming languages Machine learning Deep learning Big data …
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103

Machine-learning accelerated geometry optimization in molecular simulation.
Yang, Yilin ; Jiménez-Negrón, Omar A. ; Kitchin, John R.
Journal of Chemical Physics; 6/21/2021, Vol. 154 Issue 23, p1-9, 9p

MOLECULAR shapes NUCLEAR reactions MATERIALS science MOLECULAR crystals MOLECULAR structure PYTHON programming langu...
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104

Deep Learning-Based Imbalanced Data Classification for Drug Discovery
Selçuk Korkmaz
Journal of Chemical Information and Modeling. 60:4180-4190

Machine Learning 0301 basic medicine 0303 health sciences 03 medical and health sc... Neural-Networks Deep Learning …
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105

Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python
Ge, Jason ; Li, Xingguo ; Jiang, Haoming ; et al.
Journal of Machine Learning Research 20 (2019): 44-1

Statistics - Machine Lea... Computer Science - Machi... Mathematics - Optimizati...
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106

A visualized bibliometric analysis of mapping research trends of machine learning in engineering (MLE)
Su, Miao ; Peng, Hui ; Li, Shaofan
In Expert Systems With Applications 30 December 2021 186

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107

SMART WATCH DATA ANALYSIS USING PYTHON AND HUMAN HEALTH PREDICTION
R Ramakrishnan ; P Angarika
International Scientific Journal of Engineering and Management. :1-5

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108

An active memristor based rate-coded spiking neural network.
Amin Fida, Aabid ; Khanday, Farooq A. ; Mittal, Sparsh
Neurocomputing. May2023, Vol. 533, p61-71. 11p.

BIOLOGICAL neural networ... MACHINE learning MEMRISTORS BOOLEAN functions ONLINE education
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109

Enhancing Cyber Situational Awareness Through Dynamic Adaptive Symbology: The DASS Framework.
Macrino, Nicholas ; Pallas Enguita, Sergio ; Chen, Chung-Hao
Sensors (14248220). Oct2025, Vol. 25 Issue 20, p6300. 13p.

CYBER intelligence (Comp... MACHINE learning RISK assessment SOFTWARE frameworks COGNITIVE load EMBLEMS
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110

Languages for AI/ML: A Quick Look at Python, R, and Julia.
Gajjar, Dhaval
Open Source For You; Apr2024, Vol. 12 Issue 6, p46-49, 4p

PYTHON programming langu... ARTIFICIAL intelligence MACHINE learning NATURAL language process... PYTHONS TEXT summarization
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111

python-adaptive/adaptive: version 1.4.0
Nijholt, Bas ; orcid:0000-0003-0383- ; Weston, Joseph ; et al.

adaptive-learning machine-learning python live-plots parallel-computing adaptive-sampling …
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113

Machine learning enables accurate and rapid prediction of active molecules against breast cancer cells
Shuyun He ; Duancheng Zhao ; Yanle Ling ; et al.
Front Pharmacol
Frontiers in Pharmacology, Vol 12 (2021)

Pharmacology breast cancer machine learning structural fragments graph neural networks Pharmacology (medical) …
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114

Qumín : from a bundle of scripts to a scientific toolkit
Beniamine, Sacha ; Bouton, Jules ; Surrey Morphology Group, University of Surrey ; et al.
Journées scientifiques du réseau thématique LIFT2 - linguistique informatique, formelle et de terrain, Oct 2025, Paris, France

Paris, France python software development good practices quantitative morphology ingéniérie logicielle …
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115

Bigdata and Deep Learning: Using Python Keras Predict Patient Diabetes and Employee’s Wages per Hour
C. Rajeev ; A. Damodar
International Journal of Engineering and Advanced Technology. 9:175-178

3. Good health
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116

ALWars:Combat-Based Evaluation of Active Learning Strategies
Gonsior, Julius ; Krude, Jakob ; Schönfelder, Janik ; et al.
Gonsior, J, Krude, J, Schönfelder, J, Thiele, M & Lehner, W 2022, ALWars : Combat-Based Evaluation of Active Learning Strategies. in M Hagen, S Verberne, C Macdonald, C Seifert, K Balog, K Nørvåg & V Setty (eds), Advances in Information Retrieval-44th European Conference on IR Research, ECIR 2022, Proceedings. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13186 LNCS, pp. 294-299, 44th European Conference on Information Retrieval, ECIR 2022, Stavanger, Norway, 10/04/2022. https://doi.org/10.1007/978-3-030-99739-7_36

Active learning GUI Machine learning Demo Python
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117

python-adaptive/adaptive: v1.3.1
Nijholt, Bas ; orcid:0000-0003-0383- ; Weston, Joseph ; et al.

adaptive-learning machine-learning python live-plots parallel-computing adaptive-sampling …
E-Ressource
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118

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network
Das, Pralay Kumar ; Majumdar, Nayana ; Mukhopadhyay, Supratik

Instrumentation and Dete... Nuclear Experiment Data Analysis, Statistic...
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119

Analysis and Deployment of an OCR—SSD Deep Learning Technique for Real-Time Active Car Tracking and Positioning on a Quadrotor
Luiz Gustavo Miranda Pinto ; Tales Cleber Pimenta ; Alexandre C. B. Ramos ; et al.
Transactions on Computer Systems and Networks ISBN: 9789811616808

Buch
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120

Active preference learning based on radial basis functions
Bemporad, Alberto ; Piga, Dario

Computer Science - Machi... Mathematics - Optimizati... Statistics - Machine Lea...
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