Kuniaki Uehara - Concepedia

Author

Kuniaki Uehara

Kobe University ORCID

Also Known As

K. Uehara, KUNIAKI UEHARA, Kuniaki UEHARA, Kuniaki Uehara, Uehara, Kuniaki

297

Publications

2.6K

Citations

H-Index

122

Concepts

All Affiliations

Kobe University Osaka Gakuin University The University of Osaka Ryukoku University

About

Kuniaki Uehara is an author at Kobe University specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	30	1.4K
2	Business	3	3	431
3	Language Studies	3	3	144
4	Arts	2	2	28
5	Health Sciences	1	1	11

Kuniaki Uehara

Publications

Citations

H-Index

Page 1

	Year	Citations
Data Augmentation Using Random Image Cropping and Patching for Deep CNNs Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara IEEE Transactions on Circuits and Systems for Video Technology	2019	456
Deep learning for stock prediction using numerical and textual information R.M. Akita, Akira Yoshihara, Takashi Matsubara, EngineeringMachine LearningLong Short-term MemoryDeep Learning ModelsText Mining	2016	392
Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle Yoshiki Tanaka, Kazuhisa Iwamoto, Kuniaki Uehara Machine Learning Multi-dimensional DataEngineeringData ScienceData MiningMultidimensional Signal Processing	2005	224
Bit Sequences and Biclustering of Text Documents Selim Mimaroglu, Kuniaki Uehara EngineeringText Doc- UmentsSemantic WebCorpus LinguisticsText Mining	2007	83
A shape-based similarity measure for time series data with ensemble learning Tetsuya Nakamura, Keishi TAKI, Hiroki Nomiya, Pattern Analysis and Applications EngineeringMachine LearningData ScienceData MiningPattern Recognition	2012	79
RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara Asian Conference on Machine Learning Data AugmentationConvolutional Neural NetworkImage AnalysisMachine LearningMachine Vision	2018	77
Block coordinate descent algorithms for large-scale sparse multiclass classification Mathieu Blondel, Kazuhiro Seki, Kuniaki Uehara Machine Learning Classification MethodSparse RepresentationEngineeringMachine LearningData Science	2013	70
Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis Takashi Matsubara, T. Tashiro, Kuniaki Uehara IEEE Transactions on Biomedical Engineering NeuropsychologyPsychiatric DisordersFunctional Mri ImagesNeurophysiological BiomarkersNeuropsychiatry	2019	57
Stock Price Prediction by Deep Neural Generative Model of News Articles Takashi Matsubara, R.M. Akita, Kuniaki Uehara IEICE Transactions on Information and Systems	2018	57
Improving pseudo-relevance feedback via tweet selection Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara Natural Language ProcessingPseudo-relevance FeedbackEngineeringInformation RetrievalData Science	2013	49

Page 1