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1

Feature engineering through two-level genetic algorithm
Gulati, Aditi ; Felahatpisheh, Armin ; Valderrama, Camilo E.
In Machine Learning with Applications September 2025 21

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2

Data-centric explainable artificial intelligence techniques for cyber-attack detection in microgrid networks
Trivedi, Rohit ; Patra, Sandipan ; Khadem, Shafi
In Energy Reports June 2025 13:217-229

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3

FLIRT: A feature generation toolkit for wearable data
Föll, Simon ; Maritsch, Martin ; Spinola, Federica ; et al.
In Computer Methods and Programs in Biomedicine November 2021 212

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4

Efficient structure-informed featurization and property prediction of ordered, dilute, and random atomic structures
Krajewski, Adam M. ; Siegel, Jonathan W. ; Liu, Zi-Kui
In Computational Materials Science 31 January 2025 247

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5

Quantifying the transition from python 2 to 3 : an empirical study of python applications
Malloy, Brian A. ; Power, James F.
Proceedings of the 11th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. :314-323

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6

QuOCS: The quantum optimal control suite
Rossignolo, Marco ; Reisser, Thomas ; Marshall, Alastair ; et al.
In Computer Physics Communications October 2023 291

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7

Python 3 and Feature Engineering
Campesato, Oswald ; Campesato, Oswald

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8

Chapter 2: Introduction to Machine Learning
Python 3 and Machine Learning Using ChatGPT/GPT-4. Sep 15, 2025

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9

Enhancing machine learning thermobarometry for clinopyroxene-bearing magmas
Ágreda-López, Mónica ; Parodi, Valerio ; Musu, Alessandro ; et al.
In Computers and Geosciences November 2024 193

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10

Artificial intelligence algorithms for predicting post-operative ileus after laparoscopic surgery
Zhou, Cheng-Mao ; Li, HuiJuan ; Xue, Qiong ; et al.
In Heliyon 15 March 2024 10(5)

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11

Approach to Research Feature Interactions
Radeev, Nikita A.
2023 IEEE 24th International Conference of Young Professionals in Electron Devices and Materials (EDM) Young Professionals in Electron Devices and Materials (EDM), 2023 IEEE 24th International Conference of. :1720-1724 Jun, 2023

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12

A risk assessment and prediction framework for diabetes mellitus using machine learning algorithms
Bhat, Salliah Shafi ; Banu, Madhina ; Ansari, Gufran Ahmad ; et al.
In Healthcare Analytics December 2023 4

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13

TrajPy: empowering feature engineering for trajectory analysis across domains.
Moreira-Soares M ; Mossmann E ; Travasso RDM ; et al.
Publisher: Oxford University Press Country of Publication: England NLM ID: 9918282081306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2635-0041 (Electronic) Linking ISSN: 26350041 NLM ISO Abbreviation: Bioinform Adv Subsets: PubMed not MEDLINE

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14

TrajPy: empowering feature engineering for trajectory analysis across domains
Moreira-Soares, Maurício ; Mossmann, Eduardo ; Travasso, Rui D. M. ; et al.

Quantitative Biology - Q... Physics - Biological Phy... Physics - Data Analysis,...
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15

FaVAD: A software workflow for characterization and visualizing of defects in crystalline structures
von Toussaint, Udo ; Domínguez-Gutiérrez, F.J. ; Compostella, Michele ; et al.
In Computer Physics Communications May 2021 262

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16

Chapter 5 Introduction to Machine Learning
Python 3 for Machine Learning. Dec 06, 2024

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17

Python workflow for the selection and identification of marker peptides—proof-of-principle study with heated milk.
Kuhnen, Gesine ; Class, Lisa-Carina ; Badekow, Svenja ; et al.
Analytical & Bioanalytical Chemistry. Jun2024, Vol. 416 Issue 14, p3349-3360. 12p.

PYTHON programming langu... HEAT treatment of milk PROOF of concept PYTHONS PEPTIDES WORKFLOW
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18

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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19

raaSAFT: A framework enabling coarse-grained molecular dynamics simulations based on the SAFT-[formula omitted] Mie force field
Ervik, Åsmund ; Serratos, Guadalupe Jiménez ; Müller, Erich A.
In Computer Physics Communications March 2017 212:161-179

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20

Python 3 and Feature Engineering
Oswald Campesato ; Oswald Campesato

Data sets Python (Computer program... Data mining Machine learning
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