publications | James Kahn

google_scholar_metrics = {
  "citations": 1981,
  "h-index": 18,
  "i10-index": 24,
}

2023

Deep Learning Approaches to Building Rooftop Thermal Bridge Detection from Aerial Images

Zoe Mayer, James Kahn, Yu Hou, and 3 more authors

Automation in Construction Feb 2023

DOI Code Dataset Bib

@article{mayerDeepLearningApproaches2023,
  title = {Deep Learning Approaches to Building Rooftop Thermal Bridge Detection from Aerial Images},
  author = {Mayer, Zoe and Kahn, James and Hou, Yu and G{\"o}tz, Markus and Volk, Rebekka and Schultmann, Frank},
  year = {2023},
  month = feb,
  journal = {Automation in Construction},
  volume = {146},
  pages = {104690},
  issn = {0926-5805},
  doi = {10.1016/j.autcon.2022.104690},
  langid = {english},
  keywords = {Building analysis,Computer vision,Deep learning,Drones,Object detection,Thermal bridges},
  dataset = {https://doi.org/10.5281/zenodo.7022736}
}

2022

Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO)

Daniel Coquelin, Charlotte Debus, Markus Götz, and 4 more authors

Journal of Big Data Dec 2022

DOI Bib

@article{coquelinAcceleratingNeuralNetwork2022,
  title = {Accelerating {{Neural Network Training}} with {{Distributed Asynchronous}} and {{Selective Optimization}} ({{DASO}})},
  author = {Coquelin, Daniel and Debus, Charlotte and G{\"o}tz, Markus and {von der Lehr}, Fabrice and Kahn, James and Siggel, Martin and Streit, Achim},
  year = {2022},
  month = dec,
  journal = {Journal of Big Data},
  volume = {9},
  number = {1},
  eprint = {2104.05588},
  pages = {14},
  issn = {2196-1115},
  doi = {10.1186/s40537-021-00556-1},
  archiveprefix = {arXiv},
  keywords = {Computer Science - Distributed; Parallel; and Cluster Computing,Computer Science - Machine Learning},
}

Punzi-Loss: - a Non-Differentiable Metric Approximation for Sensitivity Optimisation in the Search for New Particles

F. Abudinén, M. Bertemes, S. Bilokin, and 43 more authors

The European Physical Journal C Feb 2022

DOI Code Bib

@article{abudinenPunzilossNondifferentiableMetric2022,
  title = {Punzi-Loss: - a Non-Differentiable Metric Approximation for Sensitivity Optimisation in the Search for New Particles},
  shorttitle = {Punzi-Loss},
  author = {Abudin{\'e}n, F. and Bertemes, M. and Bilokin, S. and Campajola, M. and Casarosa, G. and Cunliffe, S. and Corona, L. and Nuccio, M. De and Pietro, G. De and Dey, S. and Eliachevitch, M. and Feichtinger, P. and Ferber, T. and Gemmler, J. and Goldenzweig, P. and Gottmann, A. and Graziani, E. and Haigh, H. and Hohmann, M. and Humair, T. and Inguglia, G. and Kahn, J. and Keck, T. and Komarov, I. and Krohn, J.-F. and Kuhr, T. and Lacaprara, S. and Lieret, K. and Maiti, R. and Martini, A. and Meier, F. and Metzner, F. and Milesi, M. and Park, S.-H. and Prim, M. and Pulvermacher, C. and Ritter, M. and Sato, Y. and Schwanda, C. and Sutcliffe, W. and Tamponi, U. and Tenchini, F. and Urquijo, P. and Zani, L. and {\v Z}leb{\v c}{\'i}k, R. and Zupanc, A.},
  year = {2022},
  month = feb,
  journal = {The European Physical Journal C},
  volume = {82},
  number = {2},
  pages = {121},
  publisher = {{Springer Berlin Heidelberg}},
  issn = {1434-6044, 1434-6052},
  doi = {10.1140/epjc/s10052-022-10070-0},
  copyright = {\textcopyright{} The Author(s) 2022},
  langid = {english},
}

Hyperspectral (RGB + Thermal) Drone Images of Karlsruhe, Germany - Raw Images for the Thermal Bridges on Building Rooftops (TBBR) Dataset

James Kahn, Zoe Mayer, Yu Hou, and 3 more authors

Nov 2022

DOI Bib

@misc{kahnHyperspectralRGBThermal2022,
  title = {Hyperspectral ({{RGB}} + {{Thermal}}) Drone Images of {{Karlsruhe}}, {{Germany}} - {{Raw}} Images for the {{Thermal Bridges}} on {{Building Rooftops}} ({{TBBR}}) Dataset},
  author = {Kahn, James and Mayer, Zoe and Hou, Yu and Beiersd{\"o}rfer, Tobias and G{\"o}tz, Markus and Volk, Rebekka},
  year = {2022},
  month = nov,
  publisher = {{Zenodo}},
  doi = {10.5281/zenodo.7360996},
  langid = {english},
  keywords = {computer vision,drone,hyperspectral,object detection,remote sensing,thermal,thermal bridges,UAV},
}

Learning Tree Structures from Leaves for Particle Decay Reconstruction

James Kahn, Ilias Tsaklidis, Oskar Taubert, and 8 more authors

Machine Learning: Science and Technology Sep 2022

DOI Code Dataset Bib

@article{kahnLearningTreeStructures2022a,
  title = {Learning Tree Structures from Leaves for Particle Decay Reconstruction},
  author = {Kahn, James and Tsaklidis, Ilias and Taubert, Oskar and Reuter, Lea and Dujany, Giulio and Boeckh, Tobias and Thaller, Arthur and Goldenzweig, Pablo and Bernlochner, Florian and Streit, Achim and G{\"o}tz, Markus},
  year = {2022},
  month = sep,
  journal = {Machine Learning: Science and Technology},
  volume = {3},
  number = {3},
  pages = {035012},
  publisher = {{IOP Publishing}},
  issn = {2632-2153},
  doi = {10.1088/2632-2153/ac8de0},
  langid = {english},
  dataset = {https://doi.org/10.5281/zenodo.6983258}
}

Lowest Common Ancestor Generations (LCAG) Phasespace Particle Decay Reconstruction Dataset

James Kahn, Oskar Taubert, Ilias Tsaklidis, and 8 more authors

Aug 2022

DOI Bib

@misc{kahnLowestCommonAncestor2022b,
  title = {Lowest {{Common Ancestor Generations}} ({{LCAG}}) {{Phasespace Particle Decay Reconstruction Dataset}}},
  author = {Kahn, James and Taubert, Oskar and Tsaklidis, Ilias and Reuter, Lea and Dujany, Giulio and Boeckh, Tobias and Thaller, Arthur and Goldenzweig, Pablo and Bernlochner, Florian and Streit, Achim and G{\"o}tz, Markus},
  year = {2022},
  month = aug,
  publisher = {{Zenodo}},
  doi = {10.5281/zenodo.6983258},
}

Thermal Bridges on Building Rooftops - Hyperspectral (RGB + Thermal + Height) Drone Images of Karlsruhe, Germany, with Thermal Bridge Annotations

Zoe Mayer, James Kahn, Yu Hou, and 4 more authors

Aug 2022

DOI Bib

@misc{mayerThermalBridgesBuilding2022a,
  title = {Thermal {{Bridges}} on {{Building Rooftops}} - {{Hyperspectral}} ({{RGB}} + {{Thermal}} + {{Height}}) Drone Images of {{Karlsruhe}}, {{Germany}}, with Thermal Bridge Annotations},
  author = {Mayer, Zoe and Kahn, James and Hou, Yu and Beiersd{\"o}rfer, Tobias and Blumenr{\"o}hr, Nicolas and G{\"o}tz, Markus and Volk, Rebekka},
  year = {2022},
  month = aug,
  publisher = {{Zenodo}},
  doi = {10.5281/zenodo.7022736},
  langid = {english},
  keywords = {drone,hyperspectral,object detection,remote sensing,thermal,thermal bridges,UAV},
}

2021

arXiv

Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance

Alex Hagen, Shane Jackson, James Kahn, and 4 more authors

arXiv:2106.13706 [cs, stat] Jun 2021

arXiv Code Bib

@article{hagenAcceleratedComputationHigh2021,
  title = {Accelerated {{Computation}} of a {{High Dimensional Kolmogorov-Smirnov Distance}}},
  author = {Hagen, Alex and Jackson, Shane and Kahn, James and Strube, Jan and Haide, Isabel and Pazdernik, Karl and Hainje, Connor},
  year = {2021},
  month = jun,
  journal = {arXiv:2106.13706 [cs, stat]},
  eprint = {2106.13706},
  primaryclass = {cs, stat},
  urldate = {2022-04-20},
  archiveprefix = {arXiv},
  keywords = {Computer Science - Machine Learning,Statistics - Computation},
  note = {Comment: Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence},
}

EG-ICE

AI-based thermal bridge detection of building rooftops on district scale using aerial images

Zoe Mayer, James Kahn, Yu Hou, and 1 more author

In EG-ICE 2021 Workshop on Intelligent Computing in Engineering. Ed.: Jimmy Abualdenien, André Borrmann, Lucian-Constantin Ungureanu, Timo Hartmann Jun 2021

DOI Code Bib

@inproceedings{mayerAIbasedThermalBridge2021b,
  title = {{AI-based thermal bridge detection of building rooftops on district scale using aerial images}},
  booktitle = {{EG-ICE 2021 Workshop on Intelligent Computing in Engineering. Ed.: Jimmy Abualdenien, Andr\'e Borrmann, Lucian-Constantin Ungureanu, Timo Hartmann}},
  author = {Mayer, Zoe and Kahn, James and Hou, Yu and Volk, Rebekka},
  year = {2021},
  pages = {497},
  url = {https://publikationen.bibliothek.kit.edu/1000136256},
  urldate = {2022-10-25},
  isbn = {978-3-7983-3212-6},
  langid = {ngerman},
  doi = {10.5445/IR/1000136256},
}