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Publication search results
found 68 matches
- 2024
- Benjamin Förster, Peter Langendörfer, Thomas Hinze:
Determining Distributions of Security Means for WSNs Based on the Model of a Neighborhood Watch. IEEE Access 12: 74343-74366 (2024) - Thomas Prantl, Lukas Horn, Simon Engel, Lukas Iffländer, Lukas Beierlieb, Christian Krupitzer, André Bauer, Mansi Sakarvadia, Ian T. Foster, Samuel Kounev:
De Bello Homomorphico: Investigation of the extensibility of the OpenFHE library with basic mathematical functions by means of common approaches using the example of the CKKS cryptosystem. Int. J. Inf. Sec. 23(2): 1149-1169 (2024) - Brenton A. Wilder, Christine M. Lee, Adam Chlus, Hans-Peter Marshall, Jodi Brandt, Alicia M. Kinoshita, Josh Enterkine, Thomas Van Der Weide, Nancy F. Glenn:
Computationally Efficient Retrieval of Snow Surface Properties From Spaceborne Imaging Spectroscopy Measurements Through Dimensionality Reduction Using k-Means Spectral Clustering. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8594-8605 (2024) - 2023
- Daniel Reichman, Falk Lieder, David D. Bourgin, Nimrod Talmon, Thomas L. Griffiths:
The Computational Challenges of Means Selection Problems: Network Structure of Goal Systems Predicts Human Performance. Cogn. Sci. 47(8) (2023) - Benjamin Steven Vien, Thomas Kuen, Louis Raymond Francis Rose, Wing Kong Chiu:
Image Segmentation and Filtering of Anaerobic Lagoon Floating Cover in Digital Elevation Model and Orthomosaics Using Unsupervised k-Means Clustering for Scum Association Analysis. Remote. Sens. 15(22): 5357 (2023) - Marc Balle Sánchez, Maria Ávila González, Francesca De Benetti, Aldana Lizarraga, Igor Yakushev, Nassir Navab, Thomas Wendler:
Improved Tractography by Means of DL-based DWI Image Enhancement. Bildverarbeitung für die Medizin 2023: 64-69 - Alexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Hanlin Zhang, Scott Emmons, Dan Hendrycks:
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark. ICML 2023: 26837-26867 - Brenton A. Wilder, Nancy F. Glenn, Christine M. Lee, Hans-Peter Marshall, Jodi Brandt, Alicia M. Kinoshita, Thomas Van Der Weide, Josh Enterkine:
Global Optical Snow properties via High-speed Algorithm With K-means clustering (GOSHAWK). IGARSS 2023: 118-120 - Alexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Jonathan Ng, Hanlin Zhang, Scott Emmons, Dan Hendrycks:
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark. CoRR abs/2304.03279 (2023) - 2022
- Linda Achilles, Thomas Mandl, Christa Womser-Hacker:
"Meanspo Please, I Want to Lose Weight": A Characterization Study of Meanspiration Content on Tumblr Based on Images and Texts. CLEF 2022: 3-17 - Thomas Davies, Jack Aspinall, Bryan Wilder, Tran-Thanh Long:
Fuzzy c-means clustering in persistence diagram space for deep learning model selection. NeurReps 2022: 137-157 - Benjamin Förster, Peter Langendörfer, Thomas Hinze:
Determining Distributions of Security Means for Wireless Sensor Networks based on the Model of a Neighbourhood Watch. CoRR abs/2212.09050 (2022) - 2021
- Jean-Thomas Camino, Christian Artigues, Laurent Houssin, Stéphane Mourgues:
MILP formulation improvement with k-means clustering for the beam layout optimization in multibeam satellite systems. Comput. Ind. Eng. 158: 107228 (2021) - Christopher S. Parker, Tom Veale, Martina Bocchetta, C. F. Slattery, Ian B. Malone, David L. Thomas, Jonathan M. Schott, David M. Cash, Hui Zhang:
Not all voxels are created equal: Reducing estimation bias in regional NODDI metrics using tissue-weighted means. NeuroImage 245: 118749 (2021) - Daniel N. Baker, Nathan Dyjack, Vladimir Braverman, Stephanie C. Hicks, Ben Langmead:
Fast and memory-efficient scRNA-seq k-means clustering with various distances. BCB 2021: 24:1-24:8 - Richard Thomas McCoy, Jennifer Culbertson, Paul Smolensky, Geraldine Legendre:
Infinite use of finite means? Evaluating the generalization of center embedding learned from an artificial grammar. CogSci 2021 - Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck:
Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules. GECCO Companion 2021: 1375-1384 - Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck:
Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules. CoRR abs/2102.12905 (2021) - 2020
- Xiaodong Li, Yang Li, Shuyang Ling, Thomas Strohmer, Ke Wei:
When do birds of a feather flock together? k-Means, proximity, and conic programming. Math. Program. 179(1): 295-341 (2020) - Lorenzo Gentile, Gianluca Filippi, Edmondo A. Minisci, Thomas Bartz-Beielstein, Massimiliano Vasile:
Preliminary spacecraft design by means of Structured-Chromosome Genetic Algorithms. CEC 2020: 1-8 - Thomas O. M. Davies, Jack Aspinall, Bryan Wilder, Long Tran-Thanh:
Fuzzy c-Means Clustering for Persistence Diagrams. CoRR abs/2006.02796 (2020) - 2019
- Michael Chang, Abhishek Gupta, Sergey Levine, Thomas L. Griffiths:
Automatically Composing Representation Transformations as a Means for Generalization. ICLR (Poster) 2019 - Thomas Andrew Lampert, Baptiste Lafabregue, Pierre Gançarski:
Constrained Distance based K-Means Clustering for Satellite Image Time-Series. IGARSS 2019: 2419-2422 - Anna Beer, Jennifer Lauterbach, Thomas Seidl:
MORe++: k-Means Based Outlier Removal on High-Dimensional Data. SISAP 2019: 188-202 - Liyang Han, Thomas Morstyn, Constance Crozier, Malcolm McCulloch:
Improving the Scalability of a Prosumer Cooperative Game with K-Means Clustering. CoRR abs/1903.10965 (2019) - 2018
- Michael Chang, Abhishek Gupta, Sergey Levine, Thomas L. Griffiths:
Automatically Composing Representation Transformations as a Means for Generalization. CoRR abs/1807.04640 (2018) - 2017
- Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Ke Tang, Michael T. M. Emmerich:
Corrigendum to 'Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms' [Information Sciences volumes 367-368 (2016) 80-104]. Inf. Sci. 403: 55 (2017) - 2016
- Benjamin Fonooni, Thomas Hellström, Lars-Erik Janlert:
Priming as a Means to Reduce Ambiguity in Learning from Demonstration. Int. J. Soc. Robotics 8(1): 5-19 (2016) - Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Ke Tang, Michael T. M. Emmerich:
Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms. Inf. Sci. 367-368: 80-104 (2016) - Thomas Hobiger, Rüdiger Haas, Johan S. Löfgren:
Software-Defined Radio Direct Correlation GNSS Reflectometry by Means of GLONASS. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(10): 4834-4842 (2016)
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