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141

Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles
Klein, John ; Albardan, Mahmoud ; Guedj, Benjamin ; et al.
ECML-PKDD, Decentralized Machine Learning at the Edge Workshop, Sep 2019, Wurzburg, Germany. ⟨10.1007/978-3-030-43823-4_26⟩

Wurzburg, Germany classifers ensemble classifier ensemble Decentralized learning copulas machine learning …
Konferenz
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142

Hands-On Data Analysis with NumPy and pandas
Curtis Miller ; Curtis Miller ; Curtis Miller ; et al.
2018

E-Ressource
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143

Real world projects in Python 3.x
Packt Publishing, production company. ; Macarty, Matthew, author, speaker.

Video
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144

Prediction of Positive Patient Health Questionnaire-2 Screening Using Area Deprivation Index in Primary Care.
Duarte, Martha ; Salamanca, Mayra ; Gonzalez, Juan M. ; et al.
Clinical Nursing Research. Jun2024, Vol. 33 Issue 5, p355-369. 15p.

FLORIDA MENTAL depression risk f... RISK assessment PREDICTION models SOCIAL determinants of h... RECEIVER operating chara... …
Fachzeitschrift
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145

POS1199 A NOVEL AGE-DEFINED PHENOTYPIC LANDSCAPE IN MIXED CONNECTIVE TISSUE DISEASE: DISTINCT CLINICAL AND IMMUNOLOGICAL PATTERNS AT DIAGNOSIS IN 211 SPANISH PATIENTS
Brito-Zerón, P. ; Delgado Garcia, L.T. ; Flores-Chávez, A. ; et al.
In Annals of the Rheumatic Diseases June 2025 84 Supplement 1:1264-1264

Fachzeitschrift
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146

Hands-On Data Analysis with NumPy and pandas
Curtis Miller ; Curtis Miller ; Curtis Miller ; et al.
2018

E-Ressource
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147

Applying Scikit-Learn of Machine Learning To Predict Consumed Energy in Al-Khwarizmi College of Engineering, Baghdad, Iraq
Reem Omar Mahdi ; Wisam S. Hacham
Al-Khawarizmi Engineering Journal, Vol 20, Iss 1 (2024)

Chemical engineering TP155-156 Engineering (General). C... TA1-2040
Fachzeitschrift
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148

A simple kit to use computational notebooks for more openness, reproducibility, and productivity in research.
Figueiredo, Ludmilla ; Scherer, Cédric ; Cabral, Juliano Sarmento
PLoS Computational Biology. 9/15/2022, Vol. 18 Issue 9, p1-12. 12p. 4 Diagrams.

NOTEBOOKS DATA warehousing TRUST TECHNICAL reports SHOULDER dystocia DATA analysis
Fachzeitschrift
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149

Pycobra: A Python Toolbox for Ensemble Learning and Visualisation
Guedj, Benjamin ; Srinivasa Desikan, Bhargav ; MOdel for Data Analysis and Learning (MODAL) ; et al.
Journal of Machine Learning Research. 18:1-5

open source software machine learning ensemble methods Voronoi tesselation Python [STAT.ML]Statistics [sta... …
Zeitschrift
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150

The impact of big data analytics on digital marketing decision-making: A comprehensive analysis
Roberta Bajrami ; Adelina Gashi ; Kaltrina Bajraktari ; et al.
Innovative Marketing, Vol 21, Iss 3, Pp 171-182 (2025)

analytics big data decision-making digital marketing engagement Marketing. Distribution... …
Fachzeitschrift
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151

SMILE: mutual information learning for integration of single-cell omics data.
Xu, Yang ; Das, Priyojit ; McCord, Rachel Patton
Bioinformatics. 1/15/2022, Vol. 38 Issue 2, p476-486. 11p.

DEEP learning MACHINE learning DNA methylation SOURCE code MICROARRAY technology DNA microarrays
Fachzeitschrift
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152

Interactive Data Analysis of Multi-Run Performance Data
Lama, Vanessa

Performance Analysis High Performance Computi... HPC Data Analysis Data Science Software Engineering
Dissertation
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153

Forecasting the Prevalence of Diabetes Mellitus Using Econometric Models.
Mukasheva, Assel ; Saparkhojayev, Nurbek ; Akanov, Zhanay ; et al.
Diabetes Therapy. Dec2019, Vol. 10 Issue 6, p2079-2093. 15p.

KAZAKHSTAN MICROSOFT Excel (Compute... ECONOMETRIC models DIABETES REGRESSION analysis PROGRAMMING languages …
Fachzeitschrift
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154

Sensor Cube – A Tool for Hands-on Learning of Sensor Data Processing
Bleier, Michael
In IFAC PapersOnLine 2024 58(16):23-28

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155

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156

Deep Learning Can Accurately Predict the Prognosis of Gynecologic Smooth Muscle Tumors of Uncertain Malignant Potential: A Multicenter Pilot Study
Costa, João ; Le, Van-Linh ; De Leo, Antonio ; et al.
In Laboratory Investigation October 2025 105(10)

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157

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158

Chapter 4 - Machine learning with Python
In Machine Learning Tools for Chemical Engineering 2025:31-55

Buch
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159

Team-Based Learning for Scientific Computing and Automated Experimentation: Visualization of Colored Reactions
Vargas, Santiago ; Zamirpour, Siavash ; Menon, Shreya ; et al.
6

Teamwork Computer Uses in Educati... Cooperative Learning Automation Science Experiments Color …
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160

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