Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
2022.
Principles of Electron Optics, Volume 4.
p.
2489.
Omori, Toshiaki
Suzuki, Shoi
Michibayashi, Katsuyoshi
and
Okamoto, Atsushi
2023.
Super-resolution of X-ray CT images of rock samples by sparse representation: applications to the complex texture of serpentinite.
Scientific Reports,
Vol. 13,
Issue. 1,
Hoppe, Frederik
Verdun, Claudio Mayrink
Laus, Hannah
Krahmer, Felix
and
Rauhut, Holger
2023.
Uncertainty Quantification For Learned ISTA.
p.
1.
Šprogar, Matej
and
Verber, Domen
2023.
Accuracy Is Not Enough: Optimizing for a Fault Detection Delay.
Mathematics,
Vol. 11,
Issue. 15,
p.
3369.
Lv, Chuanzhi
Li, Hongdan
Zhang, Huanshui
and
Fu, Minyue
2024.
Nonlinear Optimal Control Based on FBDEs and its Application to AGV.
IEEE Transactions on Cybernetics,
Vol. 54,
Issue. 11,
p.
6448.
Kiouvrekis, Yiannis
Vasileiou, Natalia G. C.
Katsarou, Eleni I.
Lianou, Daphne T.
Michael, Charalambia K.
Zikas, Sotiris
Katsafadou, Angeliki I.
Bourganou, Maria V.
Liagka, Dimitra V.
Chatzopoulos, Dimitris C.
and
Fthenakis, George C.
2024.
The Use of Machine Learning to Predict Prevalence of Subclinical Mastitis in Dairy Sheep Farms.
Animals,
Vol. 14,
Issue. 16,
p.
2295.
Zhao, Haimeng
Lewis, Laura
Kannan, Ishaan
Quek, Yihui
Huang, Hsin-Yuan
and
Caro, Matthias C.
2024.
Learning Quantum States and Unitaries of Bounded Gate Complexity.
PRX Quantum,
Vol. 5,
Issue. 4,
Meghraoui, Khadija
Sebari, Imane
Pilz, Juergen
Ait El Kadi, Kenza
and
Bensiali, Saloua
2024.
Applied Deep Learning-Based Crop Yield Prediction: A Systematic Analysis of Current Developments and Potential Challenges.
Technologies,
Vol. 12,
Issue. 4,
p.
43.
Hoang, Nhat-Duc
and
Nguyen, Quoc-Lam
2024.
Compressive strength estimation of rice husk ash-blended high-strength concrete using diffGrad-optimized deep learning approach.
Multiscale and Multidisciplinary Modeling, Experiments and Design,
Vol. 7,
Issue. 3,
p.
1953.
Su, Weijie J.
2024.
Envisioning future deep learning theories: some basic concepts and characteristics.
Science China Information Sciences,
Vol. 67,
Issue. 10,
Angelini, Maria Chiara
Cavaliere, Angelo Giorgio
Marino, Raffaele
and
Ricci-Tersenghi, Federico
2024.
Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems.
Scientific Reports,
Vol. 14,
Issue. 1,
Yoshida, Ruriko
Aliatimis, Georgios
and
Miura, Keiji
2024.
Tropical Neural Networks and Its Applications to Classifying Phylogenetic Trees.
p.
1.
Van Veen, Dave
Galaz-Montoya, Jesús G.
Shen, Liyue
Baldwin, Philip
Chaudhari, Akshay S.
Lyumkis, Dmitry
Schmid, Michael F.
Chiu, Wah
and
Pauly, John
2024.
Missing Wedge Completion via Unsupervised Learning with Coordinate Networks.
International Journal of Molecular Sciences,
Vol. 25,
Issue. 10,
p.
5473.
Pokidysheva, Ludmila
Medievsky, Alexey
Zotin, Aleksandr
Simonov, Konstantin
Kents, Angelica
and
Khomkolov, Igor
2024.
Advances in Intelligent Disease Diagnosis and Treatment.
Vol. 259,
Issue. ,
p.
73.
Czaja, Wojciech
and
Na, Sanghoon
2025.
Frame Quantization of Neural Networks.
Journal of Fourier Analysis and Applications,
Vol. 31,
Issue. 4,
Chen, Thomas
and
Muñoz, Ewald
2025.
On non-approximability of zero loss global L2 minimizers by gradient descent in deep learning.
Theoretical and Applied Mechanics,
Vol. 52,
Issue. 1,
p.
67.
Ilievski, Filip
Hammer, Barbara
van Harmelen, Frank
Paassen, Benjamin
Saralajew, Sascha
Schmid, Ute
Biehl, Michael
Bolognesi, Marianna
Dong, Xin Luna
Gashteovski, Kiril
Hitzler, Pascal
Marra, Giuseppe
Minervini, Pasquale
Mundt, Martin
Ngomo, Axel-Cyrille Ngonga
Oltramari, Alessandro
Pasi, Gabriella
Saribatur, Zeynep G.
Serafini, Luciano
Shawe-Taylor, John
Shwartz, Vered
Skitalinskaya, Gabriella
Stachl, Clemens
van de Ven, Gido M.
and
Villmann, Thomas
2025.
Aligning generalization between humans and machines.
Nature Machine Intelligence,
Vol. 7,
Issue. 9,
p.
1378.
Didonna, Angelo
Ramos Lopez, Dayron
Iaselli, Giuseppe
Amoroso, Nicola
Ferrara, Nicola
and
Pugliese, Gabriella Maria Incoronata
2025.
Deep Convolutional Framelets for Dose Reconstruction in Boron Neutron Capture Therapy with Compton Camera Detector.
Cancers,
Vol. 17,
Issue. 1,
p.
130.
Liu, Zhichen
and
Yin, Yafeng
2025.
End-to-End Learning of User Equilibrium: Expressivity, Generalization, and Optimization.
Transportation Science,
Vol. 59,
Issue. 4,
p.
853.
Nadimi, Esmaeil S.
Braun, Jan-Matthias
Schelde-Olesen, Benedicte
Khare, Smith
Gogineni, Vinay C.
Blanes-Vidal, Victoria
and
Baatrup, Gunnar
2025.
Towards full integration of explainable artificial intelligence in colon capsule endoscopy’s pathway.
Scientific Reports,
Vol. 15,
Issue. 1,