Search Results - (((( code python bayes algorithm ) OR ( _ neural a algorithm ))) OR ( 2 general python algorithm )) :: K.UTB vyhledávací portál

Using Natural Language Processing for Programming Language Code Classification with Multinomial Naive Bayes

by Ayman Hussein Odeh, Odeh, Munther, Odeh, Hussein, Odeh, Nada
Published in Revue d intelligence artificielle (31.10.2023)

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pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods

by Behdenna, Abdelkader, Colange, Maximilien, Haziza, Julien, Gema, Aryo, Appé, Guillaume, Azencott, Chloé-Agathe, Nordor, Akpéli
Published in BMC bioinformatics (07.12.2023)

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Bayesian neural networks via MCMC: a Python-based tutorial

by Chandra, Rohitash, Simmons, Joshua
Published in IEEE access (01.01.2024)

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Application of machine-learning algorithms for tephrochronology: a case study of Plio-Quaternary volcanic fields in the South Aegean Active Volcanic Arc

by Uslular, Göksu, Kıyıkçı, Fatih, Karaarslan, Enis, Kuşcu, Gonca Gençalioğlu
Published in Earth science informatics (01.06.2022)

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Improved analysis of CRISPR fitness screens and reduced off-target effects with the BAGEL2 gene essentiality classifier

by Kim, Eiru, Hart, Traver
Published in Genome medicine (06.01.2021)

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ChatGPT Code Detection: Techniques for Uncovering the Source of Code

by Oedingen, Marc, Engelhardt, Raphael C., Denz, Robin, Hammer, Maximilian, Konen, Wolfgang
Published in AI (Basel) (01.09.2024)

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Multi-objective context-guided consensus of a massive array of techniques for the inference of Gene Regulatory Networks

by Segura-Ortiz, Adrián, García-Nieto, José, Aldana-Montes, José F., Navas-Delgado, Ismael
Published in Computers in biology and medicine (01.09.2024)

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Machine Learning Algorithms - Popular algorithms for data science and machine learning

by Bonaccorso, Giuseppe
Year of Publication 2018

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A Machine Learning Approach to Analyze Patterns and Comments in Java Code using Python

Published in WSEAS Transactions On Information Science And Applications (07.08.2025)

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Performance Evaluation of Predictive Machine Learning Models for Diabetic Disease Using Python

by Bhattacharya, Madhubrata, Datta, Debabrata
Published in 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) (07.10.2022)

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Understanding the Flows of Signals and Gradients: A Tutorial on Algorithms Needed to Implement a Deep Neural Network from Scratch

by Klęsk, Przemysław
Published in Applied sciences (01.11.2024)

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novoCaller: a Bayesian network approach for de novo variant calling from pedigree and population sequence data

by Mohanty, Anwoy Kumar, Vuzman, Dana, Francioli, Laurent, Cassa, Christopher, Toth-Petroczy, Agnes, Sunyaev, Shamil
Published in Bioinformatics (01.04.2019)

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Efficacy of deep convolutional neural network algorithm for the identification and classification of dental implant systems, using panoramic and periapical radiographs: A pilot study

by Lee, Jae-Hong, Jeong, Seong-Nyum
Published in Medicine (Baltimore) (26.06.2020)

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Artificial Intelligence with Python Cookbook - Proven Recipes for Applying AI Algorithms and Deep Learning Techniques Using TensorFlow 2.x and PyTorch 1.6

by Kumar, Ritesh, Auffarth, Ben
Year of Publication 2020

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ProBAN: Neural network algorithm for predicting binding affinity in protein–protein complexes

by Bogdanova, Elizaveta Alexandrovna, Novoseletsky, Valery Nikolaevich
Published in Proteins, structure, function, and bioinformatics (01.09.2024)

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Experimental study for developing an accurate model to predict viscosity of CuO–ethylene glycol nanofluid using genetic algorithm based neural network

by Hemmat Esfe, Mohammad, Bahiraei, Mehdi, Mahian, Omid
Published in Powder technology (01.10.2018)

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Explainability Using Bayesian Networks for Bias Detection: FAIRness with FDO

by Purian, Ronit, Katz, Natan, Feldman, Batya
Published in Research Ideas and Outcomes (12.10.2022)

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Seafloor topography refinement from multisource data using genetic algorithm—backpropagation neural network

by Wu, Chunhong, Su, Xinwen, Xu, Chuang, Jian, Guangyu, Li, Jinbo
Published in Geophysical journal international (01.09.2024)

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NIFTy 3 – Numerical Information Field Theory: A Python Framework for Multicomponent Signal Inference on HPC Clusters

by Steininger, Theo, Dixit, Jait, Frank, Philipp, Greiner, Maksim, Hutschenreuter, Sebastian, Knollmüller, Jakob, Leike, Reimar, Porqueres, Natalia, Pumpe, Daniel, Reinecke, Martin, Šraml, Matevž, Varady, Csongor, Enßlin, Torsten
Published in Annalen der Physik (01.03.2019)

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Design of Heuristic Algorithms for Hard Optimization: With Python Codes for the Travelling Salesman Problem

by Taillard, Eric D
Year of Publication 2023

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