• Suche: Graph Data Modeling in Python

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241

MolScribe: Robust Molecular Structure Recognition with Image-to-Graph Generation
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory ; Massachusetts Institute of Technology. Department of Chemical Engineering ; Qian, Yujie ; et al.
arxiv

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242

The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science
Miret, Santiago ; Lee, Kin Long Kelvin ; Gonzales, Carmelo ; et al.
Transactions on Machine Learning Research (2023)

Computer Science - Machi... Condensed Matter - Mater... Computer Science - Artif...
Report
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245

A Graph Theory Approach to Fuzzy Rule Base Simplification
Lesot M.-J.,Vieira S.,Reformat M.Z.,Carvalho J.P.,Wilbik A.,Bouchon-Meunier B.,Yager R.R. ; Fuchs, C ; Spolaor, S ; et al.

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246

DoWhy: An End-to-End Library for Causal Inference
Sharma, Amit ; Kiciman, Emre

Statistics - Methodology Computer Science - Artif... Computer Science - Mathe... Economics - Econometrics
Report
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247

Exploring chromatin hierarchical organization via Markov State Modelling.
Zhen Wah Tan ; Enrico Guarnera ; Igor N Berezovsky
PLoS Computational Biology, Vol 14, Iss 12, p e1006686 (2018)

Biology (General) QH301-705.5
Fachzeitschrift
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248

Hands-On Data Structures and Algorithms with Python
Dr. Basant Agarwal ; Benjamin Baka ; Dr. Basant Agarwal ; et al.
2018

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249

DCI: learning causal differences between gene regulatory networks.
Belyaeva, Anastasiya ; Squires, Chandler ; Uhler, Caroline
Bioinformatics; Sep2021, Vol. 37 Issue 18, p3067-3069, 3p

GENE regulatory networks GENETIC regulation ALGORITHMS CAUSAL inference GENE expression REGULATOR genes
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250

Hands-On Data Structures and Algorithms with Python
Dr. Basant Agarwal ; Benjamin Baka ; Dr. Basant Agarwal ; et al.
2018

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251

Interpretation and approximation tools for big, dense Markov chain transition matrices in population genetics.
Reichel, Katja ; Bahier, Valentin ; Midoux, Cédric ; et al.
Algorithms for Molecular Biology. 10(1):31-31

de Finetti diagram Eigenvector Network analysis Sparse approximation Discrete stochastic mode... Compositional data …
Zeitschrift
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252

VisuAlea, towards a scientific modelling environment using visual programming
Pradal, Christophe ; Barbeau, Daniel ; Cokelaer, Thomas ; et al.
Annual European Conference for Scientists Unsing Phyton EuroSciPy 2010, Paris, 8-11 July 2010

U10 - Informatique, math... F62 - Physiologie végéta... F50 - Anatomie et morpho...
Konferenz
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253

Hands-On Data Structures and Algorithms with Python
Dr. Basant Agarwal ; Benjamin Baka ; Dr. Basant Agarwal ; et al.
2018

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254

A web platform for storing, sharing and executing scientific workflows for Natural Risk Assessment: part 2 -description of an interoperable architecture based on open-source components
Tellez-Arenas, Agnès ; Hohmann, Audrey ; Quentin, Adrien ; et al.
EGU General Assembly 2019. :2019-7800

Vienne, Austria [INFO.INFO-WB]Computer S... Web
Konferenz
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255

Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package
Donges, Jonathan F. ; Heitzig, Jobst ; Beronov, Boyan ; et al.
Chaos 25, 113101 (2015)

Physics - Data Analysis,... Physics - Atmospheric an...
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256

Hands-On Data Structures and Algorithms with Python
Dr. Basant Agarwal ; Benjamin Baka ; Dr. Basant Agarwal ; et al.
2018

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257

Machine Learning Based Detection of Fake Facebook Profiles in Afan Oromo Language.
Arega, Kedir Lemma ; Alasadi, Mustafa K. ; Yaseen, Atyaf Jarullah ; et al.
Mathematical Modelling of Engineering Problems; Dec2023, Vol. 10 Issue 6, p1987-1993, 7p

SOCIAL media MACHINE learning PYTHON programming langu... ACCOUNTING fraud SUPPORT vector machines INTERNATIONAL communicat...
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258

Generador automático de Drivers y Monitores para la verificación de circuitos digitales en VHDL
Guzmán-Miranda, Hipólito ; Universidad de Sevilla. Departamento de Ingeniería Electrónica ; Pilatasig Escobar, Alex Vladimir ; et al.

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260

Linear-Scaling Kernels for Protein Sequences and Small Molecules Outperform Deep Learning While Providing Uncertainty Quantitation and Improved Interpretability
Jonathan Parkinson ; Wei Wang
Journal of Chemical Information and Modeling. 63:4589-4601

0301 basic medicine FOS: Computer and inform... Computer Science - Machi... 0303 health sciences Uncertainty Bayes Theorem …
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