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21

Construction of an interpretable risk prediction model for colorectal sessile serrated lesion based on machine learning algorithms
HUANG Sihui ; CHEN Guangxia
徐州医科大学学报, Vol 45, Iss 10, Pp 753-759 (2025)

photoelectric combined colorectal cancer sessile serrated lesion machine learning logistic regression prediction model …
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22

Mixture of Decision Trees for Interpretable Machine Learning
Bruggenjurgen, Simeon ; Schaaf, Nina ; Kerschke, Pascal ; et al.
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA) ICMLA Machine Learning and Applications (ICMLA), 2022 21st IEEE International Conference on. :1175-1182 Dec, 2022

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23

Efficient hardware implementation of interpretable machine learning based on deep neural network representations for sensor data processing
J. Schauer ; P. Goodarzi ; A. Schütze ; et al.
Journal of Sensors and Sensor Systems, Vol 14, Pp 169-185 (2025)

Technology
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24

PyKale : Knowledge-Aware Machine Learning from Multiple Sources in Python
Lu, Haiping ; Liu, Xianyuan ; Zhou, Shuo ; et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management. :4274-4278

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25

TorchSISSO: A PyTorch-based implementation of the sure independence screening and sparsifying operator for efficient and interpretable model discovery
Muthyala, Madhav ; Sorourifar, Farshud ; Paulson, Joel A.
In Digital Chemical Engineering December 2024 13

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26

Automatic Multi-Language Analysis of SOLID Compliance via Machine Learning Algorithms
BALIM, Caner ; KARASEKRETER, Naim ; ASLAN, Özkan
In Information and Software Technology January 2026

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27

Efficient hardware implementation of interpretable machine learning based on deep neural network representations for sensor data processing
Schauer, Julian ; Goodarzi, Payman ; Schütze, Andreas ; et al.
Journal of Sensors and Sensor Systems. August 11, 2025, Vol. 14 Issue 2, 169

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28

An interpretable clustering approach to safety climate analysis: Examining driver group distinctions
Sun, Kailai ; Lan, Tianxiang ; Goh, Yang Miang ; et al.
In Accident Analysis and Prevention March 2024 196

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29

PiML Toolbox for Interpretable Machine Learning Model Development and Diagnostics
Sudjianto, Agus ; Zhang, Aijun ; Yang, Zebin ; et al.

Computer Science - Machi...
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30

Edge-enabled smart agriculture framework: Integrating IoT, lightweight deep learning, and agentic AI for context-aware farming
Tariq, Muhammad Usman ; Saqib, Sheikh Muhammad ; Mazhar, Tehseen ; et al.
In Results in Engineering December 2025 28

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32

Early prediction of immunological non-responders in people living with HIV using machine learning: Model development and validation in multicenter cohorts in China
Sun, Rui ; Gao, Binyu ; Zhang, Hanxi ; et al.
In Journal of Infection and Public Health March 2026 19(3)

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34

Single-cell specific and interpretable machine learning models for sparse scChIP-seq data imputation.
Albrecht, Steffen ; Andreani, Tommaso ; Andrade-Navarro, Miguel A. ; et al.
PLoS ONE. 7/1/2022, Vol. 17 Issue 7, p1-23. 23p.

PROTEIN microarrays PYTHON programming langu... TRANSCRIPTION factors MACHINE learning CHROMATIN IMMUNOPRECIPITATION
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35

Multi-objective optimization of hydrogen production based on integration of process-based modeling and machine learning
Moon, Jong Ah ; Syauqi, Ahmad ; Lim, Hankwon
In Chemical Engineering Journal 15 September 2025 520

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37

dnamite: A Python Package for Neural Additive Models
Van Ness, Mike ; Udell, Madeleine

Computer Science - Machi... Statistics - Machine Lea...
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38

Machine Learning Based Student Performance Prediction in Higher Education Using Random Forest with Gradient Boosting(BRFE) Approach
Dhareshwar, Shweta ; K, Jamberi ; Baig, Hassan
2025 9th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS) Computational System and Information Technology for Sustainable Solutions (CSITSS), 2025 9th International Conference on. :1-6 Nov, 2025

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39

SINr: a python package to train interpretable word and graph embeddings
Prouteau, Thibault ; Dugué, Nicolas ; Guillot, Simon ; et al.
Book of Abstracts - FRCCS 2023. ; French Regional Conference on Complex Systems ; https://hal.science/hal-04113024 ; French Regional Conference on Complex Systems, May 2023, Le Havre, France. pp.215, ⟨10.5281/zenodo.7957531⟩ ; https://iutdijon.u-bourgogne.fr/ccs-france/

Le Havre France Graph embedding Word embedding Interpretability Frugal machine learning …
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40

A Responsible Machine Learning Workflow with Focus on Interpretable Models, Post-hoc Explanation, and Discrimination Testing
Navdeep Gill ; Patrick Hall ; Kim Montgomery ; et al.
Information, Vol 11, Iss 3, p 137 (2020)

deep learning disparate impact explanation fairness gradient boosting machin... interpretable …
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