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Found 15,985 Documents (Results 1–100)

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Dhar, Shri; Singh, Phool; Singh, Jyotsna; Yadav, A. K.; Yadav, Sanjay
Analysis of discharge patterns of subthalamic nucleus and external Globus pallidus coupling in Parkinson condition using particle swarm optimization algorithm. (English) Zbl 07302970
Dyn. Contin. Discrete Impuls. Syst., Ser. B, Appl. Algorithms 28, No. 1, 25-40 (2021).
MSC:  92C32 92B20 90C59
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\textit{S. Dhar} et al., Dyn. Contin. Discrete Impuls. Syst., Ser. B, Appl. Algorithms 28, No. 1, 25--40 (2021; Zbl 07302970)
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Sun, Ting; Vasarhalyi, Miklos A.
Predicting credit card delinquencies: an application of deep neural networks. (English) Zbl 07283339
Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 4. Hackensack, NJ: World Scientific (ISBN 978-981-12-0244-5/hbk; 978-981-12-0238-4/set; 978-981-12-0240-7/ebook). 4349-4381 (2021).
MSC:  91G40 68T07
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\textit{T. Sun} and \textit{M. A. Vasarhalyi}, in: Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 4. Hackensack, NJ: World Scientific. 4349--4381 (2021; Zbl 07283339)
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Hong, Ted; Lee, Daniel; Wang, Wenching
Algorithmic analyst (ALAN) – an application for artificial intelligence content as a service. (English) Zbl 07283331
Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 4. Hackensack, NJ: World Scientific (ISBN 978-981-12-0244-5/hbk; 978-981-12-0238-4/set; 978-981-12-0240-7/ebook). 4075-4086 (2021).
MSC:  91G15 91G80 62P05 68T07
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\textit{T. Hong} et al., in: Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 4. Hackensack, NJ: World Scientific. 4075--4086 (2021; Zbl 07283331)
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Sucar, Luis Enrique
Probabilistic graphical models. Principles and applications. 2nd fully updated edition. (English) Zbl 07281282
Advances in Computer Vision and Pattern Recognition. Cham: Springer (ISBN 978-3-030-61942-8/hbk; 978-3-030-61943-5/ebook). xxviii, 355 p. (2021).
MSC:  68-01 62-01 60J20 62-04 62F15 62H22 62H30 68-04 68T05 68T07 68T37 90C40
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\textit{L. E. Sucar}, Probabilistic graphical models. Principles and applications. 2nd fully updated edition. Cham: Springer (2021; Zbl 07281282)
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Pizzolato, Marco; Palombo, Marco; Bonet-Carne, Elisenda; Tax, Chantal M. W.; Grussu, Francesco; Ianus, Andrada; et al.
Acquiring and predicting multidimensional diffusion (MUDI) data: an open challenge. (English) Zbl 07304448
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 195-208 (2020).
MSC:  92C55 92B20 92-08
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\textit{M. Pizzolato} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 195--208 (2020; Zbl 07304448)
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Masutani, Yoshitaka
Diffusion MRI fiber tractography by flow field formation with extended physarum solver: a pilot study with 2D phantoms. (English) Zbl 07304447
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 183-192 (2020).
MSC:  92C55 92B20 92-08
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\textit{Y. Masutani}, in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 183--192 (2020; Zbl 07304447)
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Irzan, Hassna; Hütel, Michael; Semedo, Carla; O’reilly, Helen; Sahota, Manisha; Ourselin, Sebastien; Marlow, Neil; Melbourne, Andrew
A network-based analysis of the preterm adolescent brain using PCA and graph theory. (English) Zbl 07304446
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 173-181 (2020).
MSC:  92C55 92B20 05C90 62P10
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\textit{H. Irzan} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 173--181 (2020; Zbl 07304446)
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Yang, Qianqian; Puttick, Simon; Bruce, Zara C.; Day, Bryan W.; Vegh, Viktor
Investigation of changes in anomalous diffusion parameters in a mouse model of brain tumour. (English) Zbl 07304445
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 161-172 (2020).
MSC:  92C55 92C32 92B20
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\textit{Q. Yang} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 161--172 (2020; Zbl 07304445)
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Kim, Heejong; Styner, Martin; Piven, Joseph; Gerig, Guido
A framework to construct a longitudinal DW-MRI infant atlas based on mixed effects modeling of dODF coefficients. (English) Zbl 07304444
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 149-159 (2020).
MSC:  92C55 92B20 62P10
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\textit{H. Kim} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 149--159 (2020; Zbl 07304444)
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Pinheiro, G. R.; Carmo, D. S.; Yasuda, C.; Lotufo, R. A.; Rittner, L.
Convolutional neural network on DTI data for sub-cortical brain structure segmentation. (English) Zbl 07304443
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 135-146 (2020).
MSC:  92C55 92B20 68T07
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\textit{G. R. Pinheiro} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 135--146 (2020; Zbl 07304443)
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Rafael-Patino, Jonathan; Yu, Thomas; Delvigne, Victor; Barakovic, Muhamed; Pizzolato, Marco; Girard, Gabriel; Jones, Derek K.; Canales-Rodríguez, Erick J.; Thiran, Jean-Philippe
DWI simulation-assisted machine learning models for microstructure estimation. (English) Zbl 07304442
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 125-134 (2020).
MSC:  92C55 92B20 68T05
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\textit{J. Rafael-Patino} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 125--134 (2020; Zbl 07304442)
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Vasilev, Aleksei; Golkov, Vladimir; Meissner, Marc; Lipp, Ilona; Sgarlata, Eleonora; Tomassini, Valentina; Jones, Derek K.; Cremers, Daniel
Q-space novelty detection with variational autoencoders. (English) Zbl 07304441
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 113-124 (2020).
MSC:  92C55 92B20 92-08 68T05
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\textit{A. Vasilev} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 113--124 (2020; Zbl 07304441)
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Lucena, Oeslle; Vos, Sjoerd B.; Vakharia, Vejay; Duncan, John; Ourselin, Sebastien; Sparks, Rachel
Convolutional neural networks for fiber orientation distribution enhancement to improve single-shell diffusion MRI tractography. (English) Zbl 07304440
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 101-112 (2020).
MSC:  92C55 92B20 92-08 68T07
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\textit{O. Lucena} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 101--112 (2020; Zbl 07304440)
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Weninger, Leon; Koppers, Simon; Na, Chuh-Hyoun; Juetten, Kerstin; Merhof, Dorit
Free-water correction in diffusion MRI: a reliable and robust learning approach. (English) Zbl 07304439
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 91-99 (2020).
MSC:  92C55 92B20
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\textit{L. Weninger} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 91--99 (2020; Zbl 07304439)
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Akbar, Ridho; Feng, Yuanjing; Zhang, Fan; He, Jianzhong; Zeng, Qingrun; Ning, Lipeng; Westin, Carl-Fredrik; O’Donnell, Lauren J.
Spatial sparse estimation of fiber orientation distribution using deep alternating directions method of multipliers network. (English) Zbl 07304438
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 79-89 (2020).
MSC:  92C55 92B20 92-08
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\textit{R. Akbar} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 79--89 (2020; Zbl 07304438)
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Schilling, Kurt G.; Rogers, Baxter; Anderson, Adam W.; Landman, Bennett A.
Current challenges and future directions in diffusion MRI: from model- to data-driven analysis. (English) Zbl 07304437
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 63-78 (2020).
MSC:  92C55 92B20 92-08
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\textit{K. G. Schilling} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 63--78 (2020; Zbl 07304437)
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Zong, Fangrong; Zhuo, Yan; Spindler, Natasha; Liu, Huabing; Galvosas, Petrik
Diffusion anisotropy identification by short diffusion-diffusion correlation spectroscopy. (English) Zbl 07304436
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 49-59 (2020).
MSC:  92C55 92B20
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\textit{F. Zong} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 49--59 (2020; Zbl 07304436)
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Greene, Clint; Revill, Kate; Buetefisch, Cathrin; Rose, Ken; Grafton, Scott
Optimal fiber diffusion model restoration. (English) Zbl 07304435
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 35-47 (2020).
MSC:  92C55 92B20 92-08
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\textit{C. Greene} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 35--47 (2020; Zbl 07304435)
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Haije, Tom Dela; Feragen, Aasa
Optimized response function estimation for spherical deconvolution. (English) Zbl 07304434
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 25-34 (2020).
MSC:  92C55 92B20 92-08
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\textit{T. D. Haije} and \textit{A. Feragen}, in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 25--34 (2020; Zbl 07304434)
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Aja-Fernández, Santiago; Tristán-Vega, Antonio; De Luis-García, Rodrigo; Jones, Derek K.
Alternative diffusion anisotropy metric from reduced MRI acquisitions. (English) Zbl 07304433
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 13-24 (2020).
MSC:  92C55 92B20 92-08
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\textit{S. Aja-Fernández} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 13--24 (2020; Zbl 07304433)
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Yendiki, Anastasia; Witzel, Thomas; Huang, Susie Y.
Connectome 2.0: cutting-edge hardware ushers in new opportunities for computational diffusion MRI. (English) Zbl 07304432
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 3-12 (2020).
MSC:  92C55 92B20 92-08
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\textit{A. Yendiki} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 3--12 (2020; Zbl 07304432)
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Zhao, Hengjun; Zeng, Xia; Chen, Taolue; Liu, Zhiming
Synthesizing barrier certificates using neural networks. (English) Zbl 07300866
Proceedings of the 23rd ACM international conference on hybrid systems: computation and control, HSCC 2020, Sydney, Australia and virtual, April 21–24, 2020. New York, NY: Association for Computing Machinery (ACM) (ISBN 978-1-4503-7018-9). Article No. 25, 11 p. (2020).
MSC:  68Q45 68Q60 93C30
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\textit{H. Zhao} et al., in: Proceedings of the 23rd ACM international conference on hybrid systems: computation and control, HSCC 2020, Sydney, Australia and virtual, April 21--24, 2020. New York, NY: Association for Computing Machinery (ACM). Article No. 25, 11 p. (2020; Zbl 07300866)
Full Text: DOI
Kushner, Taisa; Sankaranarayanan, Sriram; Breton, Marc
Conformance verification for neural network models of glucose-insulin dynamics. (English) Zbl 07300854
Proceedings of the 23rd ACM international conference on hybrid systems: computation and control, HSCC 2020, Sydney, Australia and virtual, April 21–24, 2020. New York, NY: Association for Computing Machinery (ACM) (ISBN 978-1-4503-7018-9). Article No. 13, 12 p. (2020).
MSC:  68Q45 68Q60 93C30
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\textit{T. Kushner} et al., in: Proceedings of the 23rd ACM international conference on hybrid systems: computation and control, HSCC 2020, Sydney, Australia and virtual, April 21--24, 2020. New York, NY: Association for Computing Machinery (ACM). Article No. 13, 12 p. (2020; Zbl 07300854)
Full Text: DOI
Ferlez, James; Shoukry, Yasser
AReN: assured ReLU NN architecture for model predictive control of LTI systems. (English) Zbl 07300847
Proceedings of the 23rd ACM international conference on hybrid systems: computation and control, HSCC 2020, Sydney, Australia and virtual, April 21–24, 2020. New York, NY: Association for Computing Machinery (ACM) (ISBN 978-1-4503-7018-9). Article No. 6, 11 p. (2020).
MSC:  68Q45 68Q60 93C30
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\textit{J. Ferlez} and \textit{Y. Shoukry}, in: Proceedings of the 23rd ACM international conference on hybrid systems: computation and control, HSCC 2020, Sydney, Australia and virtual, April 21--24, 2020. New York, NY: Association for Computing Machinery (ACM). Article No. 6, 11 p. (2020; Zbl 07300847)
Full Text: DOI
Piotrowski, Bartosz; Urban, Josef
Guiding inferences in connection tableau by recurrent neural networks. (English) Zbl 07298575
Benzmüller, Christoph (ed.) et al., Intelligent computer mathematics. 13th international conference, CICM 2020, Bertinoro, Italy, July 26–31, 2020. Proceedings. Cham: Springer (ISBN 978-3-030-53517-9/pbk; 978-3-030-53518-6/ebook). Lecture Notes in Computer Science 12236. Lecture Notes in Artificial Intelligence, 309-314 (2020).
MSC:  68Vxx
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\textit{B. Piotrowski} and \textit{J. Urban}, Lect. Notes Comput. Sci. 12236, 309--314 (2020; Zbl 07298575)
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