Chaudhuri, Arindam Fuzzy machine learning. Advanced approaches to solve optimization problems (to appear). (English) Zbl 07166042 Berlin: De Gruyter (ISBN 978-3-11-060358-3/hbk). 150 p. (2022). MSC: 90-02 68-02 68T05 68T07 90B06 90B50 90C27 90C59 90C70 PDF BibTeX XML Cite \textit{A. Chaudhuri}, Fuzzy machine learning. Advanced approaches to solve optimization problems (to appear). Berlin: De Gruyter (2022; Zbl 07166042)
Sui, Meiyu; Wang, Yejuan; Kloeden, Peter E. Pullback attractors for stochastic recurrent neural networks with discrete and distributed delays. (English) Zbl 07311276 Electron Res. Arch. 29, No. 2, 2187-2221 (2021). MSC: 34K31 34K50 34K25 34K09 37H99 PDF BibTeX XML Cite \textit{M. Sui} et al., Electron Res. Arch. 29, No. 2, 2187--2221 (2021; Zbl 07311276) Full Text: DOI
Almira, J. M.; Lopez-de-Teruel, P. E.; Romero-López, D. J.; Voigtlaender, F. Negative results for approximation using single layer and multilayer feedforward neural networks. (English) Zbl 07309692 J. Math. Anal. Appl. 494, No. 1, Article ID 124584, 11 p. (2021). MSC: 41A30 68T07 PDF BibTeX XML Cite \textit{J. M. Almira} et al., J. Math. Anal. Appl. 494, No. 1, Article ID 124584, 11 p. (2021; Zbl 07309692) Full Text: DOI
Tuckman, Harrison; Kim, Jungmin; Rangan, Aaditya; Lei, Hong; Patel, Mainak Dynamics of sensory integration of olfactory and mechanical stimuli within the response patterns of moth antennal lobe neurons. (English) Zbl 07309211 J. Theor. Biol. 509, Article ID 110510, 19 p. (2021). MSC: 92B20 PDF BibTeX XML Cite \textit{H. Tuckman} et al., J. Theor. Biol. 509, Article ID 110510, 19 p. (2021; Zbl 07309211) Full Text: DOI
Lu, Lu; Meng, Xuhui; Mao, Zhiping; Karniadakis, George Em DeepXDE: a deep learning library for solving differential equations. (English) Zbl 07308564 SIAM Rev. 63, No. 1, 208-228 (2021). MSC: 65-01 65-04 65L99 65M99 65N99 PDF BibTeX XML Cite \textit{L. Lu} et al., SIAM Rev. 63, No. 1, 208--228 (2021; Zbl 07308564) Full Text: DOI
E, Weinan; Wojtowytsch, Stephan Kolmogorov width decay and poor approximators in machine learning: shallow neural networks, random feature models and neural tangent kernels. (English) Zbl 07307666 Res. Math. Sci. 8, No. 1, Paper No. 5, 28 p. (2021). MSC: 68T07 41A30 41A65 46E15 46E22 PDF BibTeX XML Cite \textit{W. E} and \textit{S. Wojtowytsch}, Res. Math. Sci. 8, No. 1, Paper No. 5, 28 p. (2021; Zbl 07307666) Full Text: DOI
Phan, Chi; You, Yuncheng Random attractor for stochastic Hindmarsh-Rose equations with additive noise. (English) Zbl 07307370 J. Dyn. Differ. Equations 33, No. 1, 489-510 (2021). MSC: 35B40 35K55 37L30 37L55 37N25 60H15 92B20 PDF BibTeX XML Cite \textit{C. Phan} and \textit{Y. You}, J. Dyn. Differ. Equations 33, No. 1, 489--510 (2021; Zbl 07307370) Full Text: DOI
Li, Huiyuan; Fang, Jian-an; Li, Xiaofan; Huang, Tingwen Impulse-based coupling synchronization of multiple discrete-time memristor-based neural networks with stochastic perturbations and mixed delays. (English) Zbl 07305996 J. Franklin Inst. 358, No. 1, 980-1001 (2021). MSC: 93D99 93B70 93C27 93C55 93C73 93C43 PDF BibTeX XML Cite \textit{H. Li} et al., J. Franklin Inst. 358, No. 1, 980--1001 (2021; Zbl 07305996) Full Text: DOI
Jia, Jia; Zeng, Zhigang; Wang, Fei Pinning synchronization of fractional-order memristor-based neural networks with multiple time-varying delays via static or dynamic coupling. (English) Zbl 07305993 J. Franklin Inst. 358, No. 1, 895-933 (2021). MSC: 93D20 93B70 93C43 PDF BibTeX XML Cite \textit{J. Jia} et al., J. Franklin Inst. 358, No. 1, 895--933 (2021; Zbl 07305993) Full Text: DOI
Mongolian, Suriguga; Kao, Yonggui; Wang, Changhong; Xia, Hongwei Robust mean square stability of delayed stochastic generalized uncertain impulsive reaction-diffusion neural networks. (English) Zbl 07305992 J. Franklin Inst. 358, No. 1, 877-894 (2021). MSC: 93D09 93E15 93B70 93C27 93C20 PDF BibTeX XML Cite \textit{S. Mongolian} et al., J. Franklin Inst. 358, No. 1, 877--894 (2021; Zbl 07305992) Full Text: DOI
Li, Chuang; Yang, Xuebo Neural networks-based command filtering control for a table-mount experimental helicopter. (English) Zbl 07305966 J. Franklin Inst. 358, No. 1, 321-338 (2021). MSC: 93C85 93C41 93-08 PDF BibTeX XML Cite \textit{C. Li} and \textit{X. Yang}, J. Franklin Inst. 358, No. 1, 321--338 (2021; Zbl 07305966) Full Text: DOI
Lagergren, John; Flores, Kevin; Gilman, Mikhail; Tsynkov, Semyon Deep learning approach to the detection of scattering delay in radar images. (English) Zbl 07303002 J. Stat. Theory Pract. 15, No. 1, Paper No. 14, 19 p. (2021). MSC: 78A45 78A50 92B20 68U10 68T05 PDF BibTeX XML Cite \textit{J. Lagergren} et al., J. Stat. Theory Pract. 15, No. 1, Paper No. 14, 19 p. (2021; Zbl 07303002) Full Text: DOI
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 PDF BibTeX XML Cite \textit{S. Dhar} et al., Dyn. Contin. Discrete Impuls. Syst., Ser. B, Appl. Algorithms 28, No. 1, 25--40 (2021; Zbl 07302970) Full Text: Link
Langer, Sophie Approximating smooth functions by deep neural networks with sigmoid activation function. (English) Zbl 07301923 J. Multivariate Anal. 182, Article ID 104696, 22 p. (2021). MSC: 41A25 82C32 PDF BibTeX XML Cite \textit{S. Langer}, J. Multivariate Anal. 182, Article ID 104696, 22 p. (2021; Zbl 07301923) Full Text: DOI
Langer, Sophie Analysis of the rate of convergence of fully connected deep neural network regression estimates with smooth activation function. (English) Zbl 07301922 J. Multivariate Anal. 182, Article ID 104695, 15 p. (2021). Reviewer: Claudia Simionescu-Badea (Wien) MSC: 62M45 62G08 41A25 82C32 PDF BibTeX XML Cite \textit{S. Langer}, J. Multivariate Anal. 182, Article ID 104695, 15 p. (2021; Zbl 07301922) Full Text: DOI
Burkart, Nadia; Huber, Marco F. A survey on the explainability of supervised machine learning. (English) Zbl 07299933 J. Artif. Intell. Res. (JAIR) 70, 245-317 (2021). MSC: 68T PDF BibTeX XML Cite \textit{N. Burkart} and \textit{M. F. Huber}, J. Artif. Intell. Res. (JAIR) 70, 245--317 (2021; Zbl 07299933) Full Text: DOI
Kanakalakshmi, S.; Sakthivel, R.; Karthick, S. A.; Leelamani, A.; Parivallal, A. Finite-time decentralized event-triggering non-fragile control for fuzzy neural networks with cyber-attack and energy constraints. (English) Zbl 07299593 Eur. J. Control 57, 135-146 (2021). MSC: 93D40 93A14 93C65 93C42 93B70 PDF BibTeX XML Cite \textit{S. Kanakalakshmi} et al., Eur. J. Control 57, 135--146 (2021; Zbl 07299593) Full Text: DOI
Yao, Zhao; Wang, Chunni; Zhou, Ping; Ma, Jun Regulating synchronous patterns in neurons and networks via field coupling. (English) Zbl 07298998 Commun. Nonlinear Sci. Numer. Simul. 95, Article ID 105583, 16 p. (2021). MSC: 37N25 92B20 PDF BibTeX XML Cite \textit{Z. Yao} et al., Commun. Nonlinear Sci. Numer. Simul. 95, Article ID 105583, 16 p. (2021; Zbl 07298998) Full Text: DOI
Urbaniak, Ilona; Wolter, Marcin Quality assessment of compressed and resized medical images based on pattern recognition using a convolutional neural network. (English) Zbl 07298997 Commun. Nonlinear Sci. Numer. Simul. 95, Article ID 105582, 14 p. (2021). MSC: 94A PDF BibTeX XML Cite \textit{I. Urbaniak} and \textit{M. Wolter}, Commun. Nonlinear Sci. Numer. Simul. 95, Article ID 105582, 14 p. (2021; Zbl 07298997) Full Text: DOI
Ni, Hao; Dong, Xin; Zheng, Jinsong; Guangxi, Yu An introduction to machine learning in quantitative finance (to appear). (English) Zbl 07291803 Advanced Textbooks in Mathematics. Hackensack, NJ: World Scientific (ISBN 978-1-78634-936-1/hbk; 978-1-78634-964-4/pbk). 265 p. (2021). MSC: 91-01 91Gxx 68T07 62P05 PDF BibTeX XML Cite \textit{H. Ni} et al., An introduction to machine learning in quantitative finance (to appear). Hackensack, NJ: World Scientific (2021; Zbl 07291803) Full Text: DOI
Han, Xiaoying; Kloeden, Peter E. Corrigendum to: “Sigmoidal approximations of Heaviside functions in neural lattice models”. (English) Zbl 1452.34021 J. Differ. Equations 274, 1214-1220 (2021). MSC: 34A33 34A36 34A60 34D45 92B20 41A25 PDF BibTeX XML Cite \textit{X. Han} and \textit{P. E. Kloeden}, J. Differ. Equations 274, 1214--1220 (2021; Zbl 1452.34021) Full Text: DOI
Frame, Michael Mathematical models in the biosciences I (to appear). (English) Zbl 07287064 New Haven, CT: Yale University Press (ISBN 978-0-300-22831-1/pbk). 544 p. (2021). MSC: 92-01 92C42 92C50 92D25 92C20 92D30 PDF BibTeX XML Cite \textit{M. Frame}, Mathematical models in the biosciences I (to appear). New Haven, CT: Yale University Press (2021; Zbl 07287064)
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 PDF BibTeX XML Cite \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) Full Text: DOI
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 PDF BibTeX XML Cite \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) Full Text: DOI
Yan, Wei Qi Computational methods for deep learning. Theoretic, practice and applications. (English) Zbl 1451.68006 Texts in Computer Science. Cham: Springer (ISBN 978-3-030-61080-7/hbk; 978-3-030-61081-4). xvii, 134 p. (2021). MSC: 68-01 68T05 68T07 PDF BibTeX XML Cite \textit{W. Q. Yan}, Computational methods for deep learning. Theoretic, practice and applications. Cham: Springer (2021; Zbl 1451.68006) Full Text: DOI
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 PDF BibTeX XML Cite \textit{L. E. Sucar}, Probabilistic graphical models. Principles and applications. 2nd fully updated edition. Cham: Springer (2021; Zbl 07281282) Full Text: DOI
Zonca, Lou; Holcman, David Modeling bursting in neuronal networks using facilitation-depression and afterhyperpolarization. (English) Zbl 07280100 Commun. Nonlinear Sci. Numer. Simul. 94, Article ID 105555, 27 p. (2021). MSC: 92B20 PDF BibTeX XML Cite \textit{L. Zonca} and \textit{D. Holcman}, Commun. Nonlinear Sci. Numer. Simul. 94, Article ID 105555, 27 p. (2021; Zbl 07280100) Full Text: DOI
Zhang, Yue; Teng, Zhiyang Natural language processing. A machine learning perspective. (English) Zbl 07280023 Cambridge: Cambridge University Press (ISBN 978-1-108-42021-1/hbk; 978-1-108-33287-3/ebook). xiv, 470 p. (2021). MSC: 68-01 68T05 68T07 68T50 PDF BibTeX XML Cite \textit{Y. Zhang} and \textit{Z. Teng}, Natural language processing. A machine learning perspective. Cambridge: Cambridge University Press (2021; Zbl 07280023) Full Text: DOI
Drogoul, Audric; Veltz, Romain Exponential stability of the stationary distribution of a mean field of spiking neural network. (English) Zbl 1451.35025 J. Differ. Equations 270, 809-842 (2021). MSC: 35B40 35R09 35Q49 92B20 PDF BibTeX XML Cite \textit{A. Drogoul} and \textit{R. Veltz}, J. Differ. Equations 270, 809--842 (2021; Zbl 1451.35025) Full Text: DOI
Uzdyaev, M. Yu. Neural network model for multimodal recognition of human aggression. (Russian. English summary) Zbl 07314764 Vestn. KRAUNTS, Fiz.-Mat. Nauki 2020, No. 4(33), 132-149 (2020). MSC: 62M45 PDF BibTeX XML Cite \textit{M. Yu. Uzdyaev}, Vestn. KRAUNTS, Fiz.-Mat. Nauki 2020, No. 4(33), 132--149 (2020; Zbl 07314764) Full Text: DOI MNR
Egorov, A. A.; Lysenkova, S. A.; Mazaĭshvili, K. V. Convolutional networks for segmentation of large vein images. (Russian. English summary) Zbl 07314728 Vestn. KRAUNTS, Fiz.-Mat. Nauki 2020, No. 2(31), 117-128 (2020). MSC: 68 92 PDF BibTeX XML Cite \textit{A. A. Egorov} et al., Vestn. KRAUNTS, Fiz.-Mat. Nauki 2020, No. 2(31), 117--128 (2020; Zbl 07314728) Full Text: DOI MNR
Feng, Yi-Fu; Wang, Jing Novel stability criteria for nonlinear stochastic Hopfield neural networks with time- varying delays. (English) Zbl 07313898 Pac. J. Optim. 16, No. 2, 213-224 (2020). MSC: 93C10 93C42 93D05 PDF BibTeX XML Cite \textit{Y.-F. Feng} and \textit{J. Wang}, Pac. J. Optim. 16, No. 2, 213--224 (2020; Zbl 07313898) Full Text: Link
Park, Young Ho Score normalization for a university grades input system using a neural network. (English) Zbl 07312290 Korean J. Math. 28, No. 4, 943-953 (2020). MSC: 68T07 PDF BibTeX XML Cite \textit{Y. H. Park}, Korean J. Math. 28, No. 4, 943--953 (2020; Zbl 07312290) Full Text: DOI
Ding, Dawei; Luo, Jun; Shan, Xiangyu; Hu, Yongbin; Yang, Zongli; Ding, Lianghui Coexisting behaviors of a fraction-order novel hyperbolic-type memristor Hopfield neuron network based on three neurons. (English) Zbl 07312232 Int. J. Mod. Phys. B 34, No. 31, Article ID 2050302, 17 p. (2020). MSC: 92B20 34A08 34C60 PDF BibTeX XML Cite \textit{D. Ding} et al., Int. J. Mod. Phys. B 34, No. 31, Article ID 2050302, 17 p. (2020; Zbl 07312232) Full Text: DOI
Glazkova, A. V. Topical classification of text fragments accounting for their nearest context. (English. Russian original) Zbl 07312196 Autom. Remote Control 81, No. 12, 2262-2276 (2020); translation from Avtom. Telemekh. 2020, No. 12, 153-172 (2020). MSC: 68 PDF BibTeX XML Cite \textit{A. V. Glazkova}, Autom. Remote Control 81, No. 12, 2262--2276 (2020; Zbl 07312196); translation from Avtom. Telemekh. 2020, No. 12, 153--172 (2020) Full Text: DOI
Tarkov, M. S. Associative memory based on cellular neural networks with bipolar stepwise activation function. (Russian. English summary) Zbl 07312019 Prikl. Diskretn. Mat. 2020, No. 48, 100-108 (2020). MSC: 68 94 PDF BibTeX XML Cite \textit{M. S. Tarkov}, Prikl. Diskretn. Mat. 2020, No. 48, 100--108 (2020; Zbl 07312019) Full Text: DOI MNR
Iqbal, Kamran Optimal time-varying postural control in a single-link neuromechanical model with feedback latencies. (English) Zbl 07309715 Biol. Cybern. 114, No. 4-5, 485-497 (2020). MSC: 92B20 92C10 93B52 PDF BibTeX XML Cite \textit{K. Iqbal}, Biol. Cybern. 114, No. 4--5, 485--497 (2020; Zbl 07309715) Full Text: DOI
Yang, Lina; Wei, Pu; Zhong, Cheng; Li, Xichun; Tang, Yuan Yan Protein structure prediction based on BN-GRU method. (English) Zbl 07308332 Int. J. Wavelets Multiresolut. Inf. Process. 18, No. 6, Article ID 2050045, 17 p. (2020). MSC: 68T07 68T05 68Q32 PDF BibTeX XML Cite \textit{L. Yang} et al., Int. J. Wavelets Multiresolut. Inf. Process. 18, No. 6, Article ID 2050045, 17 p. (2020; Zbl 07308332) Full Text: DOI
Ncube, Israel Existence, uniqueness, and global asymptotic stability of an equilibrium in a multiple unbounded distributed delay network. (English) Zbl 07307872 Electron. J. Qual. Theory Differ. Equ. 2020, Paper No. 59, 11 p. (2020). MSC: 34K05 34K06 34K20 34K99 PDF BibTeX XML Cite \textit{I. Ncube}, Electron. J. Qual. Theory Differ. Equ. 2020, Paper No. 59, 11 p. (2020; Zbl 07307872) Full Text: DOI
Schnürch, Simon; Wagner, Andreas Electricity price forecasting with neural networks on EPEX order books. (English) Zbl 07307492 Appl. Math. Finance 27, No. 3, 189-206 (2020). MSC: 91G15 62P05 PDF BibTeX XML Cite \textit{S. Schnürch} and \textit{A. Wagner}, Appl. Math. Finance 27, No. 3, 189--206 (2020; Zbl 07307492) Full Text: DOI
Uhlmann, Gunther; Wang, Yiran Convolutional neural networks in phase space and inverse problems. (English) Zbl 07307302 SIAM J. Appl. Math. 80, No. 6, 2560-2585 (2020). MSC: 35R30 PDF BibTeX XML Cite \textit{G. Uhlmann} and \textit{Y. Wang}, SIAM J. Appl. Math. 80, No. 6, 2560--2585 (2020; Zbl 07307302) Full Text: DOI
Bahmani, Sohail; Romberg, Justin Convex programming for estimation in nonlinear recurrent models. (English) Zbl 07306915 J. Mach. Learn. Res. 21, Paper No. 235, 20 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{S. Bahmani} and \textit{J. Romberg}, J. Mach. Learn. Res. 21, Paper No. 235, 20 p. (2020; Zbl 07306915) Full Text: Link
Naitzat, Gregory; Zhitnikov, Andrey; Lim, Lek-Heng Topology of deep neural networks. (English) Zbl 07306880 J. Mach. Learn. Res. 21, Paper No. 184, 40 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{G. Naitzat} et al., J. Mach. Learn. Res. 21, Paper No. 184, 40 p. (2020; Zbl 07306880) Full Text: Link
Agrawal, Devanshu; Papamarkou, Theodore; Hinkle, Jacob Wide neural networks with bottlenecks are deep Gaussian processes. (English) Zbl 07306874 J. Mach. Learn. Res. 21, Paper No. 175, 66 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{D. Agrawal} et al., J. Mach. Learn. Res. 21, Paper No. 175, 66 p. (2020; Zbl 07306874) Full Text: Link
Gao, Chao; Yao, Yuan; Zhu, Weizhi Generative adversarial nets for robust scatter estimation: a proper scoring rule perspective. (English) Zbl 07306864 J. Mach. Learn. Res. 21, Paper No. 160, 48 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{C. Gao} et al., J. Mach. Learn. Res. 21, Paper No. 160, 48 p. (2020; Zbl 07306864) Full Text: Link
Martens, James New insights and perspectives on the natural gradient method. (English) Zbl 07306852 J. Mach. Learn. Res. 21, Paper No. 146, 76 p. (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{J. Martens}, J. Mach. Learn. Res. 21, Paper No. 146, 76 p. (2020; Zbl 07306852) Full Text: Link
Shi, Jianqiang; Chengchao, Shi; Lei, Han; Mengxi, Xu Smart grid short-term load estimation model based on BP neural network. (English) Zbl 07305626 Int. J. Comput. Sci. Math. 11, No. 2, 123-136 (2020). MSC: 90B10 68T07 90C59 PDF BibTeX XML Cite \textit{J. Shi} et al., Int. J. Comput. Sci. Math. 11, No. 2, 123--136 (2020; Zbl 07305626) Full Text: DOI
Kumar, Harendra; Giri, Shailendra Optimisation of makespan of a flow shop problem using multi layer neural network. (English) Zbl 07305625 Int. J. Comput. Sci. Math. 11, No. 2, 107-122 (2020). MSC: 90B35 68T07 PDF BibTeX XML Cite \textit{H. Kumar} and \textit{S. Giri}, Int. J. Comput. Sci. Math. 11, No. 2, 107--122 (2020; Zbl 07305625) Full Text: DOI
Wang, Z.; Zhang, X.; Teichert, G. H.; Carrasco-Teja, M.; Garikipati, K. System inference for the spatio-temporal evolution of infectious diseases: Michigan in the time of COVID-19. (English) Zbl 07304582 Comput. Mech. 66, No. 5, 1153-1176 (2020). MSC: 74 PDF BibTeX XML Cite \textit{Z. Wang} et al., Comput. Mech. 66, No. 5, 1153--1176 (2020; Zbl 07304582) Full Text: DOI
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 PDF BibTeX XML Cite \textit{M. Pizzolato} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 195--208 (2020; Zbl 07304448) Full Text: DOI
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 PDF BibTeX XML Cite \textit{Y. Masutani}, in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 183--192 (2020; Zbl 07304447) Full Text: DOI
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 PDF BibTeX XML Cite \textit{H. Irzan} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 173--181 (2020; Zbl 07304446) Full Text: DOI
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 PDF BibTeX XML Cite \textit{Q. Yang} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 161--172 (2020; Zbl 07304445) Full Text: DOI
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 PDF BibTeX XML Cite \textit{H. Kim} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 149--159 (2020; Zbl 07304444) Full Text: DOI
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 PDF BibTeX XML Cite \textit{G. R. Pinheiro} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 135--146 (2020; Zbl 07304443) Full Text: DOI
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 PDF BibTeX XML Cite \textit{J. Rafael-Patino} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 125--134 (2020; Zbl 07304442) Full Text: DOI
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 PDF BibTeX XML Cite \textit{A. Vasilev} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 113--124 (2020; Zbl 07304441) Full Text: DOI
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 PDF BibTeX XML Cite \textit{O. Lucena} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 101--112 (2020; Zbl 07304440) Full Text: DOI
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 PDF BibTeX XML Cite \textit{L. Weninger} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 91--99 (2020; Zbl 07304439) Full Text: DOI
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 PDF BibTeX XML Cite \textit{R. Akbar} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 79--89 (2020; Zbl 07304438) Full Text: DOI
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 PDF BibTeX XML Cite \textit{K. G. Schilling} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 63--78 (2020; Zbl 07304437) Full Text: DOI
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 PDF BibTeX XML Cite \textit{F. Zong} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 49--59 (2020; Zbl 07304436) Full Text: DOI
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 PDF BibTeX XML Cite \textit{C. Greene} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 35--47 (2020; Zbl 07304435) Full Text: DOI
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 PDF BibTeX XML Cite \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) Full Text: DOI
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 PDF BibTeX XML Cite \textit{S. Aja-Fernández} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 13--24 (2020; Zbl 07304433) Full Text: DOI
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 PDF BibTeX XML Cite \textit{A. Yendiki} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 3--12 (2020; Zbl 07304432) Full Text: DOI
Ibrahim, Rabha W. Arched foot based on conformal complex neural network testing. (English) Zbl 07304339 Math. Comput. Simul. 174, 175-182 (2020). MSC: 94A08 PDF BibTeX XML Cite \textit{R. W. Ibrahim}, Math. Comput. Simul. 174, 175--182 (2020; Zbl 07304339) Full Text: DOI
Liu, Jin; Jian, Jigui; Wang, Baoxian Stability analysis for BAM quaternion-valued inertial neural networks with time delay via nonlinear measure approach. (English) Zbl 07304337 Math. Comput. Simul. 174, 134-152 (2020). MSC: 34K20 92B20 34K21 34K38 PDF BibTeX XML Cite \textit{J. Liu} et al., Math. Comput. Simul. 174, 134--152 (2020; Zbl 07304337) Full Text: DOI
Kim, Junhyuk; Lee, Changhoon Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers. (English) Zbl 07303174 J. Comput. Phys. 406, Article ID 109216, 23 p. (2020). MSC: 76-10 68T07 76F55 PDF BibTeX XML Cite \textit{J. Kim} and \textit{C. Lee}, J. Comput. Phys. 406, Article ID 109216, 23 p. (2020; Zbl 07303174) Full Text: DOI
Wu, Jin-Long; Kashinath, Karthik; Albert, Adrian; Chirila, Dragos; Prabhat; Xiao, Heng Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems. (English) Zbl 07303169 J. Comput. Phys. 406, Article ID 109209, 20 p. (2020). MSC: 76-10 68T07 76M28 76R10 PDF BibTeX XML Cite \textit{J.-L. Wu} et al., J. Comput. Phys. 406, Article ID 109209, 20 p. (2020; Zbl 07303169) Full Text: DOI
Geng, Zhenglin; Johnson, Daniel; Fedkiw, Ronald Coercing machine learning to output physically accurate results. (English) Zbl 07303148 J. Comput. Phys. 406, Article ID 109099, 17 p. (2020). MSC: 68T07 00A79 65D18 68U05 PDF BibTeX XML Cite \textit{Z. Geng} et al., J. Comput. Phys. 406, Article ID 109099, 17 p. (2020; Zbl 07303148) Full Text: DOI
Wang, Yating; Cheung, Siu Wun; Chung, Eric T.; Efendiev, Yalchin; Wang, Min Deep multiscale model learning. (English) Zbl 07303147 J. Comput. Phys. 406, Article ID 109071, 17 p. (2020). MSC: 76-10 68T07 76S05 65M55 PDF BibTeX XML Cite \textit{Y. Wang} et al., J. Comput. Phys. 406, Article ID 109071, 17 p. (2020; Zbl 07303147) Full Text: DOI
Jagtap, Ameya D.; Kawaguchi, Kenji; Karniadakis, George Em Adaptive activation functions accelerate convergence in deep and physics-informed neural networks. (English) Zbl 07302803 J. Comput. Phys. 404, Article ID 109136, 23 p. (2020). MSC: 68T07 65D15 65M32 PDF BibTeX XML Cite \textit{A. D. Jagtap} et al., J. Comput. Phys. 404, Article ID 109136, 23 p. (2020; Zbl 07302803) Full Text: DOI
Karumuri, Sharmila; Tripathy, Rohit; Bilionis, Ilias; Panchal, Jitesh Simulator-free solution of high-dimensional stochastic elliptic partial differential equations using deep neural networks. (English) Zbl 07302792 J. Comput. Phys. 404, Article ID 109120, 31 p. (2020). MSC: 65C30 68T07 60H15 35R60 PDF BibTeX XML Cite \textit{S. Karumuri} et al., J. Comput. Phys. 404, Article ID 109120, 31 p. (2020; Zbl 07302792) Full Text: DOI
Fan, Yuwei; Ying, Lexing Solving electrical impedance tomography with deep learning. (English) Zbl 07302791 J. Comput. Phys. 404, Article ID 109119, 19 p. (2020). MSC: 65D18 68T07 65N21 PDF BibTeX XML Cite \textit{Y. Fan} and \textit{L. Ying}, J. Comput. Phys. 404, Article ID 109119, 19 p. (2020; Zbl 07302791) Full Text: DOI
Lee, Kookjin; Carlberg, Kevin T. Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders. (English) Zbl 07302777 J. Comput. Phys. 404, Article ID 108973, 32 p. (2020). MSC: 65P99 37M99 68T07 PDF BibTeX XML Cite \textit{K. Lee} and \textit{K. T. Carlberg}, J. Comput. Phys. 404, Article ID 108973, 32 p. (2020; Zbl 07302777) Full Text: DOI
Geneva, Nicholas; Zabaras, Nicholas Modeling the dynamics of PDE systems with physics-constrained deep auto-regressive networks. (English) Zbl 07302755 J. Comput. Phys. 403, Article ID 109056, 32 p. (2020). MSC: 65 65M75 65K10 65M70 68T07 PDF BibTeX XML Cite \textit{N. Geneva} and \textit{N. Zabaras}, J. Comput. Phys. 403, Article ID 109056, 32 p. (2020; Zbl 07302755) Full Text: DOI
Fernández-García, Soledad; Vidal, Alexandre Symmetric coupling of multiple timescale systems with mixed-mode oscillations and synchronization. (English) Zbl 07302364 Physica D 401, Article ID 132129, 22 p. (2020). MSC: 34C15 92B20 34D06 37N25 34C60 PDF BibTeX XML Cite \textit{S. Fernández-García} and \textit{A. Vidal}, Physica D 401, Article ID 132129, 22 p. (2020; Zbl 07302364) Full Text: DOI
Meng, Xuhui; Karniadakis, George Em A composite neural network that learns from multi-fidelity data: application to function approximation and inverse PDE problems. (English) Zbl 07302313 J. Comput. Phys. 401, Article ID 109020, 15 p. (2020). MSC: 76-10 68T07 76S05 76V05 PDF BibTeX XML Cite \textit{X. Meng} and \textit{G. E. Karniadakis}, J. Comput. Phys. 401, Article ID 109020, 15 p. (2020; Zbl 07302313) Full Text: DOI
Wang, Yating; Lin, Guang Efficient deep learning techniques for multiphase flow simulation in heterogeneous porousc media. (English) Zbl 07302287 J. Comput. Phys. 401, Article ID 108968, 18 p. (2020). MSC: 76-10 68T07 76S05 76T06 76M10 76M12 PDF BibTeX XML Cite \textit{Y. Wang} and \textit{G. Lin}, J. Comput. Phys. 401, Article ID 108968, 18 p. (2020; Zbl 07302287) Full Text: DOI
Wang, Min; Cheung, Siu Wun; Leung, Wing Tat; Chung, Eric T.; Efendiev, Yalchin; Wheeler, Mary Reduced-order deep learning for flow dynamics. The interplay between deep learning and model reduction. (English) Zbl 07302283 J. Comput. Phys. 401, Article ID 108939, 20 p. (2020). MSC: 76-10 68T07 76S05 PDF BibTeX XML Cite \textit{M. Wang} et al., J. Comput. Phys. 401, Article ID 108939, 20 p. (2020; Zbl 07302283) Full Text: DOI
Wang, Zhongjian; Zhang, Zhiwen A mesh-free method for interface problems using the deep learning approach. (English) Zbl 07302269 J. Comput. Phys. 400, Article ID 108963, 16 p. (2020). MSC: 65 35J05 35J57 35J50 68T07 PDF BibTeX XML Cite \textit{Z. Wang} and \textit{Z. Zhang}, J. Comput. Phys. 400, Article ID 108963, 16 p. (2020; Zbl 07302269) Full Text: DOI
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 PDF BibTeX XML Cite \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 PDF BibTeX XML Cite \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 PDF BibTeX XML Cite \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
Lu, Chengbo; Mei, Ying An optimal weight semi-supervised learning machine for neural networks with time delay. (English) Zbl 07300766 J. Classif. 37, No. 3, 656-670 (2020). MSC: 62H30 PDF BibTeX XML Cite \textit{C. Lu} and \textit{Y. Mei}, J. Classif. 37, No. 3, 656--670 (2020; Zbl 07300766) Full Text: DOI
Romano, Yaniv; Sesia, Matteo; Candès, Emmanuel Deep knockoffs. (English) Zbl 1452.62710 J. Am. Stat. Assoc. 115, No. 532, 1861-1872 (2020). MSC: 62M45 62D05 62G10 62J15 PDF BibTeX XML Cite \textit{Y. Romano} et al., J. Am. Stat. Assoc. 115, No. 532, 1861--1872 (2020; Zbl 1452.62710) Full Text: DOI
Buza, Krisztian Encouraging an appropriate representation simplifies training of neural networks. (English) Zbl 07300112 Acta Univ. Sapientiae, Inform. 12, No. 1, 102-111 (2020). MSC: 68T07 PDF BibTeX XML Cite \textit{K. Buza}, Acta Univ. Sapientiae, Inform. 12, No. 1, 102--111 (2020; Zbl 07300112) Full Text: DOI
Antal, Margit; Fejér, Norbert Mouse dynamics based user recognition using deep learning. (English) Zbl 07300108 Acta Univ. Sapientiae, Inform. 12, No. 1, 39-50 (2020). MSC: 68T10 PDF BibTeX XML Cite \textit{M. Antal} and \textit{N. Fejér}, Acta Univ. Sapientiae, Inform. 12, No. 1, 39--50 (2020; Zbl 07300108) Full Text: DOI
Lazaridis, Aristotelis; Fachantidis, Anestis; Vlahavas, Ioannis Deep reinforcement learning: a state-of-the-art walkthrough. (English) Zbl 07299925 J. Artif. Intell. Res. (JAIR) 69, 1421-1471 (2020). MSC: 68T PDF BibTeX XML Cite \textit{A. Lazaridis} et al., J. Artif. Intell. Res. (JAIR) 69, 1421--1471 (2020; Zbl 07299925) Full Text: DOI
Cardoso Pereira, Ricardo; Seoane Santos, Miriam; Pereira Rodrigues, Pedro; Henriques Abreu, Pedro Reviewing autoencoders for missing data imputation: technical trends, applications and outcomes. (English) Zbl 07299920 J. Artif. Intell. Res. (JAIR) 69, 1255-1285 (2020). MSC: 68T PDF BibTeX XML Cite \textit{R. Cardoso Pereira} et al., J. Artif. Intell. Res. (JAIR) 69, 1255--1285 (2020; Zbl 07299920) Full Text: DOI
Aouiti, Chaouki; Dridi, Farah New results on interval general Cohen-Grossberg BAM neural networks. (English) Zbl 07299310 J. Syst. Sci. Complex. 33, No. 4, 944-967 (2020). MSC: 93D23 93C15 93B70 PDF BibTeX XML Cite \textit{C. Aouiti} and \textit{F. Dridi}, J. Syst. Sci. Complex. 33, No. 4, 944--967 (2020; Zbl 07299310) 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 PDF BibTeX XML Cite \textit{B. Piotrowski} and \textit{J. Urban}, Lect. Notes Comput. Sci. 12236, 309--314 (2020; Zbl 07298575) Full Text: DOI
Li, Wei; Qiao, Junfei; Zeng, Xiao-Jun; Du, Shengli Identification and simplification of T-S fuzzy neural networks based on incremental structure learning and similarity analysis. (English) Zbl 1452.93019 Fuzzy Sets Syst. 394, 65-86 (2020). MSC: 93C42 93B30 93B11 93A14 PDF BibTeX XML Cite \textit{W. Li} et al., Fuzzy Sets Syst. 394, 65--86 (2020; Zbl 1452.93019) Full Text: DOI
Shi, Kaibo; Wang, Jun; Zhong, Shouming; Tang, Yuanyan; Cheng, Jun Non-fragile memory filtering of T-S fuzzy delayed neural networks based on switched fuzzy sampled-data control. (English) Zbl 1452.93021 Fuzzy Sets Syst. 394, 40-64 (2020). MSC: 93C42 93E11 93A14 93C57 PDF BibTeX XML Cite \textit{K. Shi} et al., Fuzzy Sets Syst. 394, 40--64 (2020; Zbl 1452.93021) Full Text: DOI
Evangelista, Anderson Pablo Freitas; Serra, Ginalber Luiz de Oliveira State space black-box modelling via Markov parameters based on evolving type-2 neural-fuzzy inference system for nonlinear multivariable dynamic systems. (English) Zbl 1452.93016 Fuzzy Sets Syst. 394, 1-39 (2020). MSC: 93C42 93A14 68T05 68T37 68T07 PDF BibTeX XML Cite \textit{A. P. F. Evangelista} and \textit{G. L. de O. Serra}, Fuzzy Sets Syst. 394, 1--39 (2020; Zbl 1452.93016) Full Text: DOI
Priya, Bandana; Thakur, Ganesh Kumar; Garg, Sudesh Kumar; Ali, M. Syed Robust stability of Markovian jumping neural networks with time-varying delays. (English) Zbl 07296468 Nonlinear Dyn. Syst. Theory 20, No. 5, 535-541 (2020). MSC: 34K20 34K50 92B20 PDF BibTeX XML Cite \textit{B. Priya} et al., Nonlinear Dyn. Syst. Theory 20, No. 5, 535--541 (2020; Zbl 07296468) Full Text: Link
Zhang, Yuehong; Jiang, Wangdong; Liu, Wei Exponential stability of stochastic and intertial BAM neural networks with time delays. (Chinese. English summary) Zbl 07296059 Math. Pract. Theory 50, No. 13, 209-220 (2020). MSC: 34K20 34K50 92B20 PDF BibTeX XML Cite \textit{Y. Zhang} et al., Math. Pract. Theory 50, No. 13, 209--220 (2020; Zbl 07296059)
Jiang, Wangdong; Liu, Wei; Zhang, Yuehong Exponential stability analysis of a class stochastic high-order neural networks with time-varying delays. (English) Zbl 07296037 Math. Pract. Theory 50, No. 12, 182-192 (2020). MSC: 34K20 34K50 92B20 PDF BibTeX XML Cite \textit{W. Jiang} et al., Math. Pract. Theory 50, No. 12, 182--192 (2020; Zbl 07296037)
Zhu, Aiqing; Jin, Pengzhan; Tang, Yifa Deep Hamiltonian neural networks based on symplectic integrators. (Chinese. English summary) Zbl 07295999 Math. Numer. Sin. 42, No. 3, 370-384 (2020). MSC: 68T05 65P10 PDF BibTeX XML Cite \textit{A. Zhu} et al., Math. Numer. Sin. 42, No. 3, 370--384 (2020; Zbl 07295999)