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Atsuto Maki

Showing results (1-10 of 10) with videos related to

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Science Robotics|November 2, 2020
Toward principled regularization of deep networks-From weight decay to feature contractionAtsuto Maki
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 7, 2015
Difference subspace and its generalization for subspace-based methodsKazuhiro Fukui, Atsuto Maki
Proceedings. Mathematical, Physical, and Engineering Sciences|June 12, 2018
Power packet transferability via symbol propagation matrixShinya Nawata, Atsuto Maki, Takashi Hikihara
Sensors (Basel, Switzerland)|October 14, 2022
Optimization Method for Wide Beam Sonar Transmit BeamformingLouise Rixon Fuchs, Atsuto Maki, Andreas Gällström
Neural Networks : the Official Journal of the International Neural Network Society|August 10, 2018
A systematic study of the class imbalance problem in convolutional neural networksMateusz Buda, Atsuto Maki, Maciej A Mazurowski
Systematic Biology|March 3, 2019
Automated Taxonomic Identification of Insects with Expert-Level Accuracy Using Effective Feature Transfer from Convolutional NetworksMiroslav Valan, Karoly Makonyi, Atsuto Maki, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 19, 2022
Discriminant Feature Extraction by Generalized Difference SubspaceKazuhiro Fukui, Naoya Sogi, Takumi Kobayashi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 20, 2015
Factors of Transferability for a Generic ConvNet RepresentationHossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, et al.
Acta Orthopaedica|July 7, 2017
Artificial intelligence for analyzing orthopedic trauma radiographsJakub Olczak, Niklas Fahlberg, Atsuto Maki, et al.
International Journal of Computer Assisted Radiology and Surgery|April 21, 2015
Towards real-time, tracker-less 3D ultrasound guidance for spine anaesthesiaMikael Brudfors, Alexander Seitel, Abtin Rasoulian, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Science Robotics|November 2, 2020
Toward principled regularization of deep networks-From weight decay to feature contractionAtsuto Maki
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 7, 2015
Difference subspace and its generalization for subspace-based methodsKazuhiro Fukui, Atsuto Maki
Proceedings. Mathematical, Physical, and Engineering Sciences|June 12, 2018
Power packet transferability via symbol propagation matrixShinya Nawata, Atsuto Maki, Takashi Hikihara
Sensors (Basel, Switzerland)|October 14, 2022
Optimization Method for Wide Beam Sonar Transmit BeamformingLouise Rixon Fuchs, Atsuto Maki, Andreas Gällström
Neural Networks : the Official Journal of the International Neural Network Society|August 10, 2018
A systematic study of the class imbalance problem in convolutional neural networksMateusz Buda, Atsuto Maki, Maciej A Mazurowski
Systematic Biology|March 3, 2019
Automated Taxonomic Identification of Insects with Expert-Level Accuracy Using Effective Feature Transfer from Convolutional NetworksMiroslav Valan, Karoly Makonyi, Atsuto Maki, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 19, 2022
Discriminant Feature Extraction by Generalized Difference SubspaceKazuhiro Fukui, Naoya Sogi, Takumi Kobayashi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 20, 2015
Factors of Transferability for a Generic ConvNet RepresentationHossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, et al.
Acta Orthopaedica|July 7, 2017
Artificial intelligence for analyzing orthopedic trauma radiographsJakub Olczak, Niklas Fahlberg, Atsuto Maki, et al.
International Journal of Computer Assisted Radiology and Surgery|April 21, 2015
Towards real-time, tracker-less 3D ultrasound guidance for spine anaesthesiaMikael Brudfors, Alexander Seitel, Abtin Rasoulian, et al.
Pageof 1