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1Tractable Diversity: Scalable Multiperspective Ontology Management via Standpoint EL
L. Álvarez, S. Rudolph, and H. Straß. Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023, page 3258--3267. ijcai.org, (2023)
a month ago by @scadsfct
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1Learning Subspaces of Different Dimensions
B. Thomas, K. You, L. Lin, L. Lim, and S. Mukherjee. Journal of Computational and Graphical Statistics, 31 (2): 337--350 (2022)
a month ago by @scadsfct
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1Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach
S. Mehrdad, D. Handorf, I. Höschel, K. Karami, J. Quaas, S. Dipu, and C. Jacobi. EGUsphere, (2024)
a month ago by @scadsfct
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1IsUMap: Manifold Learning and Data Visualization leveraging Vietoris-Rips filtrations
L. Barth, Fatemeh, Fahimi, P. Joharinad, J. Jost, and J. Keck. (2024)
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1Representing fields without correspondences: the lifted Euler characteristic transform
H. Kirveslahti, and S. Mukherjee. Journal of Applied and Computational Topology, (August 2023)
a month ago by @scadsfct
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1Automated Reasoning Support for Standpoint-OWL 2
F. Emmrich, L. Álvarez, and H. Straß. Proceedings of th 13th International Conference on Formal Ontology in Information Systems (FOIS 2023), Ontology Showcase and Demonstrations Track, (2023)
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1Multiple hypothesis testing with persistent homology
M. Vejdemo-Johansson, and S. Mukherjee. Foundations of Data Science, 4 (4): 667--705 (2022)
a month ago by @scadsfct
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1Unleashing the Autoconversion Rates Forecasting: Evidential Regression from Satellite Data
M. Novitasari, J. Quaas, and M. Rodrigues. NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, (2023)
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1Every atom-atom map can be explained by electron pushing diagrams
C. Flamm, S. Müller, and P. Stadler. (2023)
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1Minimum $\Phi$-distance estimators for finite mixing measures
Y. Wei, S. Mukherjee, and X. Nguyen. (April 2023)
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PUMA

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1Tractable Diversity: Scalable Multiperspective Ontology Management via Standpoint EL

1Learning Subspaces of Different Dimensions

1Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach

1IsUMap: Manifold Learning and Data Visualization leveraging Vietoris-Rips filtrations

1Representing fields without correspondences: the lifted Euler characteristic transform

1Automated Reasoning Support for Standpoint-OWL 2

1Multiple hypothesis testing with persistent homology

1Unleashing the Autoconversion Rates Forecasting: Evidential Regression from Satellite Data

1Every atom-atom map can be explained by electron pushing diagrams

1Minimum $\Phi$-distance estimators for finite mixing measures

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