• Suche: Hyperparameter Tuning with Python

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82

Optimizing Software Defect Detection using advanced Feature Selection, Ensemble Learning, and Class Imbalance Solutions.
Sharma, Tarunim ; Bhaskar, Shalini ; Jatain, Aman ; et al.
Library of Progress-Library Science, Information Technology & Computer. Jul-Dec2024, Vol. 44 Issue 3, p3286-3306. 21p.

Machine learning Computer software qualit... Feature selection Python programming langu... Cost control
Fachzeitschrift
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84

Optimized machine learning with hyperparameter tuning and response surface methodology for predicting tribological performance in bio‐composite materials.
Sengottaiyan, Saravanakumar ; Subbarayan, Sathiyamurthy ; Viswanathan, Vinoth ; et al.
Polymer Composites; 7/10/2024, Vol. 45 Issue 10, p9421-9439, 19p

RESPONSE surfaces (Stati... MACHINE learning ARTIFICIAL neural networ... HYBRID materials INTERFACIAL bonding FIBROUS composites …
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85

Optimizing electric vehicle energy consumption prediction through machine learning and ensemble approaches.
Hussain I ; Ching KB ; Uttraphan C ; et al.
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

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86

Transparent serverless execution of Python multiprocessing applications
Enginyeria Informàtica i Matemàtiques ; Universitat Rovira i Virgili ; Arjona A; Finol G; López PG ; et al.
Future Generation Computer Systems-The International Journal Of Escience; 10.1016/j.future.2022.10.038; Future Generation Computer Systems-The International Journal Of Escience. 140 436-449

E-Ressource
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87

Popfinder: A Highly Effective Artificial Neural Network Package for Genetic Population Assignment.
Birchard, K. ; Boccia, C. ; Lounder, H. ; et al.
Molecular Ecology Resources; Aug2025, Vol. 25 Issue 6, p1-14, 14p

ARTIFICIAL neural networ... POPULATION genetics GENETIC variation POPULATION ecology BIOLOGICAL specimens PYTHON programming langu... …
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88

Data-driven compressive strength prediction of steel fiber reinforced concrete (SFRC) subjected to elevated temperatures using stacked machine learning algorithms
Shafighfard, Torkan ; Bagherzadeh, Faramarz ; Rizi, Rana Abdollahi ; et al.
In Journal of Materials Research and Technology November-December 2022 21:3777-3794

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89

Predicting demand using autoregressive integrated moving average (Arima) - application on the Iberian market for clams
Moissiadis, Nicolas Charalampos ; Gardete, Pedro M.

Clams Demand forecasting Arima Hyperparameter tuning Statistical forecasting Python …
Dissertation
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90

Machine Learning Approach to Predict AXL Kinase Inhibitor Activity for Cancer Drug Discovery Using XGBoost and Bayesian Optimization
Noviandy, Teuku Rizky ; Idroes, Ghalieb Mutig ; Hardi, Irsan
Journal of Soft Computing and Data Mining; Vol. 5 No. 1 (2024); 46-56 ; 2716-621X

Supervised learning QSAR molecular descriptors ChEMBL hyperparameter tuning
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91

scikit-fda: A Python Package for Functional Data Analysis
Ramos-Carreño, Carlos ; Torrecilla, José Luis ; Carbajo-Berrocal, Miguel ; et al.
Journal of Statistical Software 109(2) (2024) 1-37

Statistics - Computation Computer Science - Machi... Computer Science - Mathe... Statistics - Machine Lea...
Report
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92

Development and validation of machine learning models for nonalcoholic fatty liver disease
Peng, Hong-Ye ; Duan, Shao-Jie ; Pan, Liang ; et al.
In Hepatobiliary & Pancreatic Diseases International December 2023 22(6):615-621

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93

Soft ground tunnel lithology classification using clustering-guided light gradient boosting machine
Kilic, Kursat ; Ikeda, Hajime ; Adachi, Tsuyoshi ; et al.
In Journal of Rock Mechanics and Geotechnical Engineering November 2023 15(11):2857-2867

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94

Predicting the accuracy of power consumption of electrical appliances using CNN vs auto MI.
Kumar, R. Linkesh ; Arumugam, S. S.
AIP Conference Proceedings. 2025, Vol. 3300 Issue 1, p1-6. 6p.

ENERGY consumption forec... CONVOLUTIONAL neural net... ELECTRIC power consumpti... MACHINE learning FORECASTING ELECTRONIC equipment
Konferenz
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95

Tutorial - Shodhguru Labs: Optimization and Hyperparameter Tuning for Neural Networks
Roy, Kaushik
Publications

tutorial neural networks optimization Computer Engineering Electrical and Computer...
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96

A Comparative Analysis of Hyperparameter Tuned Stochastic Short Term Load Forecasting for Power System Operator.
Vardhan, B. V. Surya ; Khedkar, Mohan ; Srivastava, Ishan ; et al.
Energies (19961073). Feb2023, Vol. 16 Issue 3, p1243. 21p.

LOAD forecasting (Electr... STANDARD deviations KRIGING FORECASTING REGRESSION analysis SUPPORT vector machines
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97

Prediksi Omset Penjualan Toko Mbak Ning Pasar Cinderamata Menggunakan Long Short Term Memory
Pratama, Mohammad Bayu ; Sanjaya, Fadil Indra
Jurnal Sistem Informasi dan Sistem Komputer; Vol 10 No 1 (2025): Vol 10 No 1 - 2025; 160-167 ; 2715-906X ; 2581-1614 ; 10.51717/simkom.v10i1

UMKM Prediksi Deep Learning Long Short Term Memory Python
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99

Interactive visualization of explanations for machine learning models
Ploumidi, Chrysa ; Papastefanatos, George ; Παπαστεφανάτος, Γεώργιος ; et al.

Interpretable machine le... Counterfactual explanati... Hyperparameter tuning Machine learning Explainable AI Interpretability …
Dissertation
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