• Suche: Interpretable Machine Learning with Python

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161

SINDybrid: automatic generation of hybrid models for dynamic systems
Di Caprio, Ulderico ; Leblebici, M. Enis
In Chemical Engineering Science 1 February 2026 321 Part C

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162

SynthStrategy: Extracting and Formalizing Latent Strategic Insights from LLMs in Organic Chemistry
Armstrong, Daniel ; Jončev, Zlatko ; Bran, Andres M ; et al.

Artificial Intelligence Machine Learning
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163

Automatically Finding Rule-Based Neurons in OthelloGPT
Singh, Aditya ; Wen, Zihang ; Medicherla, Srujananjali ; et al.

Machine Learning Artificial Intelligence
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164

From implementation to application: FAIR digital objects for training data composition.
Blumenröhr, Nicolas ; Aversa, Rossella
Research Ideas & Outcome Journal; 8/22/2023, p1-9, 9p

MACHINE learning SCANNING electron micros... METADATA PROOF of concept AUTOMATION PYTHON programming langu... …
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165

Evidential deep learning-based ALK-expression screening using H&E-stained histopathological images
Sai Chandra Kosaraju ; Sai Phani Parsa ; Dae Hyun Song ; et al.
npj Digital Medicine, Vol 8, Iss 1, Pp 1-10 (2025)

Computer applications to... R858-859.7
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166

`python-m5p` - M5 Prime regression trees in python, compliant with scikit-learn
Marié, Sylvain ; Schneider Electric ( SE)

Berlin, Germany Python Regression Tree M5 M5P Data science …
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167

Optimizing predictive performance without sacrificing explainability: Comparing logistic regression and ensemble decision trees for abdominal aortic aneurysm repair outcomes
Jeon, Brian B. ; Kottakota, Aakash K. ; Kerr, Katherine E. ; et al.
In JVS-Vascular Insights September 2025

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169

Beginner-Friendly Review of Research on R-Based Energy Forecasting: Insights from Text Mining.
Kim, Minjoong ; Kim, Hyeonwoo ; Moon, Jihoon
Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3513, 59p

ENERGY consumption forec... TEXT mining EMPIRICAL research MACHINE learning REPRODUCIBLE research SCIENTIFIC language
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170

Anticancer drug response prediction integrating multi-omics pathway-based difference features and multiple deep learning techniques.
Wu, Yang ; Chen, Ming ; Qin, Yufang
PLoS Computational Biology. 3/31/2025, Vol. 21 Issue 3, p1-33. 33p.

DNA topoisomerase I TRANSFORMER models ANTINEOPLASTIC agents CHEMICAL models DRUG interactions DEEP learning
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171

Interpretable Machine Learning with Brain Image and Survival Data.
Eder, Matthias ; Moser, Emanuel ; Holzinger, Andreas ; et al.
BioMedInformatics; Sep2022, Vol. 2 Issue 3, p492-510, 19p

ARTIFICIAL intelligence DECISION making MEDICAL personnel MACHINE learning BRAIN tumors
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172

Interpretable constitutive compressive stress-strain model for rubberized aggregate concrete – Integrating comprehensive empirical database and efficient XGBoost ensemble learning
Abdulaziz Alsaif ; Yassir M. Abbas
Case Studies in Construction Materials, Vol 21, Iss, Pp e03382-(2024)

Constitutive modeling Sustainability Machine learning Recycled aggregate TA401-492 0211 other engineering a... …
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173

Learning Machine Learning with a Game.
Lürig, Christoph
Proceedings of the European Conference on Games Based Learning. 2022, p316-323. 8p.

Machine learning Educational games Visualization Digital technology Monte Carlo method
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174

DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery
Mall, Utkarsh ; Phoo, Cheng Perng ; Chiquier, Mia ; et al.

E-Ressource
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176

Submit to AGU-Manuscript-Enhancing Landslide Displacement Prediction Using a Spatio-Temporal Deep Learning Model with Interpretable Features
Jia Wang ; Honghu Zhu ; Wei Zhang ; et al.

Other earth sciences not... Reservoir landslide Spatial-Temporal Graph N... Attention mechanism Landslide prediction
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178

An interpretable generalized additive neural networks for electricity theft detection in smart cities using balanced data and intelligent grid management.
Nandhini, N. ; Manikandan, V. ; Elango, S.
Energy & Buildings. Nov2025, Vol. 346, pN.PAG-N.PAG. 1p.

SMART cities THEFT FEATURE extraction DATA harmonization ENERGY management ARTIFICIAL neural networ... …
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179

Python code for Sturm and Wexler (2022): Conservation laws in a neural network architecture
Patrick Obin Sturm ; orcid:0000-0001-7361-

machine learning physically interpretable... photochemical modeling surrogate model conservation laws
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