• Suche: Interpretable Machine Learning with Python

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221

Prioritizing Virtual Screening with Interpretable Interaction Fingerprints
Fassio, Alexandre V ; Shub, Laura ; Ponzoni, Luca ; et al.
Journal of Chemical Information and Modeling, vol 62, iss 18

3404 Medicinal and Biomo... 34 Chemical Sciences (fo... Networking and Informati... Machine Learning and Art... 3 Good Health and Well B... Dopamine (mesh) …
Fachzeitschrift
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222

Cryptocurrency Price Prediction using Machine Learning
R, Prapulla Kumar ; Bapathi, Krishnaveni

Machine learning
Fachzeitschrift
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224

Development and Validation of an Explainable Machine Learning Model for Warning of Hepatitis E Virus‐Related Acute Liver Failure
Rui Dong ; Zhenghan Luo ; Hong Xue ; et al.
Liver International. 45

Machine Learning Male Adult China Hepatitis E virus Humans …
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226

Development and characterization of deep learning techniques for neuroimaging data
Diciotti, Stefano ; Atnafu, Selamawet Workalemahu <1989> ; Diciotti, Stefano ; et al.

E-Ressource
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227

INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis.
Zabeti, Hooman ; Dexter, Nick ; Safari, Amir Hosein ; et al.
Algorithms for Molecular Biology; 8/10/2021, Vol. 16 Issue 1, p1-12, 12p

DRUG resistance TUBERCULOSIS MYCOBACTERIUM tuberculos... PROBLEM solving MACHINE learning GENETIC variation …
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228

Building an Explainable Diagnostic Classification Model for Brain Tumor using Discharge Summaries
Nair, Priyanka C. ; Gupta, Deepa ; Devi, Bhagavatula Indira ; et al.
In Procedia Computer Science 2023 218:2058-2070

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229

An interpretable clustering approach to safety climate analysis: Examining driver group distinctions.
Sun K ; Lan T ; Goh YM ; et al.
Publisher: Pergamon Press Country of Publication: England NLM ID: 1254476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2057 (Electronic) Linking ISSN: 00014575 NLM ISO Abbreviation: Accid Anal Prev Subsets: MEDLINE

Humans Motor Vehicles Transportation Cluster Analysis Accidents, Traffic preve... Organizational Culture
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231

Interpreting Deep Neural Networks with the Package innsight
Koenen, Niklas ; Wright, Marvin N.
Journal of Statistical Software, Vol 111, Iss 1 (2024)
Journal of Statistical Software; Vol. 111 (2024); 1-52
Koenen, N & Wright, M N 2024, ' Interpreting Deep Neural Networks with the Package innsight ', Journal of Statistical Software, vol. 111, no. 8, pp. 1-52 . https://doi.org/10.18637/jss.v111.i08
Journal of statistical software, 111(8):1-52

keras FOS: Computer and inform... Computer Science - Machi... explainable artificial i... Statistics interpretable machine le... …
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232

CodeAD: Synthesize Code of Rules for Log-based Anomaly Detection with LLMs
Huang, Junjie ; He, Minghua ; Liu, Jinyang ; et al.

Software Engineering Distributed, Parallel, a... Multiagent Systems
Report
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233

RANDOM FOREST-BASED ECG PREMATURE VENTRICULAR CONTRACTION DETECTION.
GAO, QIN ; DU, FANYU ; XU, WANSONG
Journal of Mechanics in Medicine & Biology; Mar2025, Vol. 25 Issue 2, p1-11, 11p

FEATURE extraction RANDOM forest algorithms DATABASES MACHINE learning COMPUTATIONAL complexity
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234

Automatic feature selection and weighting in molecular systems using Differentiable Information Imbalance
Wild, Romina ; Wodaczek, Felix ; Del Tatto, Vittorio ; et al.

Computer Science - Machi... Physics - Computational... Statistics - Machine Lea...
Report
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235

Code for 'Learning Physically Interpretable Atmospheric Models from Data with WSINDy'
Minor, Seth ; Messenger, Daniel ; Dukic, Vanja ; et al.

Report
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236

PVT-ResNet Fusion: A Hybrid DL Framework for Lung Cancer Prediction Using Image Analysis and Explainable AI
Robert, R. ; Muneeswaran, V. ; Kumar, Jose Saji ; et al.
Iranian Journal of Science and Technology, Transactions of Electrical Engineering. :1-20

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237

Malaysian Community College Graduates Employability Prediction Model Using Machine Learning Approach
Azida Mansor ; Zuraini Othman
Journal of Telecommunication, Electronic and Computer Engineering (JTEC). 16:1-7

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239

Methods and applications in machine learning and computational biology for the analysis and the integration of high dimensional single-cell transcriptomics datasets
Méthodes et applications en apprentissage automatique et biologie computationnelle pour l'analyse et l'intégration de données transcriptomiques single-cell de haute dimension
Fouché, Aziz ; Cancer et génome: Bioinformatique, biostatistiques et épidémiologie d'un système complexe ; Mines Paris - PSL (École nationale supérieure des mines de Paris) ; et al.
Bioinformatics [q-bio.QM]. Université Paris sciences et lettres, 2023. English. ⟨NNT : 2023UPSLS073⟩

Data science Machine learning Cancerology Computational biology Single-Cell Apprentissage automatiqu... …
Dissertation
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240

UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning
Louiset, Robin ; Gori, Pietro ; Dufumier, Benoit ; et al.
ECML/PKDD, Sep 2021, Bilbao, Spain

Bilbao, Spain Neuroimaging Machine Learning Expectation-Maximization Subtype Discovery Clustering …
Konferenz
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