Folgen
Takahiro Komamizu
Takahiro Komamizu
Nagoya University
Bestätigte E-Mail-Adresse bei acm.org - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Towards real-time analysis of smart city data: A case study on city facility utilizations
T Komamizu, T Amagasa, SA Shaikh, H Shiokawa, H Kitagawa
2016 IEEE 18th International Conference on High Performance Computing and …, 2016
172016
Visual spatial-olap for vehicle recorder data on micro-sized electric vehicles
T Komamizu, T Amagasa, H Kitagawa
Proceedings of the 20th International Database Engineering & Applications …, 2016
112016
A framework of faceted navigation for XML data
T Komamizu, T Amagasa, H Kitagawa
Proceedings of the 13th International Conference on Information Integration …, 2011
102011
H-SPOOL: A SPARQL-based ETL framework for OLAP over linked data with dimension hierarchy extraction
T Komamizu, T Amagasa, H Kitagawa
International Journal of Web Information Systems 12 (3), 359-378, 2016
82016
Mva2023 small object detection challenge for spotting birds: Dataset, methods, and results
Y Kondo, N Ukita, T Yamaguchi, HY Hou, MY Shen, CC Hsu, EM Huang, ...
2023 18th International Conference on Machine Vision and Applications (MVA …, 2023
72023
Japanese mistakable legal term correction using infrequency-aware BERT classifier
T Yamakoshi, T Komamizu, Y Ogawa, K Toyama
2019 IEEE International Conference on Big Data (Big Data), 4342-4351, 2019
72019
Network-word embedding for dynamic text attributed networks
H Ito, T Komamizu, T Amagasa, H Kitagawa
2018 IEEE 12th International Conference on Semantic Computing (ICSC), 334-339, 2018
72018
Analytical toolbox for smart city applications: Garbage collection log use case
T Komamizu, J Nakazawa, T Amagasa, H Kitagawa, H Tokuda
2017 IEEE International Conference on Big Data (Big Data), 4105-4110, 2017
72017
Random walk-based entity representation learning and re-ranking for entity search
T Komamizu
Knowledge and Information Systems, 1-25, 2020
62020
Exploring Identical Users on GitHub and Stack Overflow.
T Komamizu, Y Hayase, T Amagasa, H Kitagawa
SEKE, 584-589, 2017
62017
FORK: feedback-aware ObjectRank-based keyword search over linked data
T Komamizu, S Okumura, T Amagasa, H Kitagawa
Information Retrieval Technology: 13th Asia Information Retrieval Societies …, 2017
62017
SPOOL: a SPARQL-based ETL framework for OLAP over linked data
T Komamizu, T Amagasa, H Kitagawa
Proceedings of the 17th International Conference on Information Integration …, 2015
62015
Small object detection for birds with Swin transformer
D Huo, MA Kastner, T Liu, Y Kawanishi, T Hirayama, T Komamizu, I Ide
2023 18th International Conference on Machine Vision and Applications (MVA), 1-5, 2023
52023
IPA-CLIP: Integrating phonetic priors into vision and language pretraining
C Matsuhira, MA Kastner, T Komamizu, T Hirayama, K Doman, ...
arXiv preprint arXiv:2303.03144, 2023
52023
Community Detection and Correlated Attribute Cluster Analysis on Multi-Attributed Graphs.
H Ito, T Komamizu, T Amagasa, H Kitagawa
EDBT/ICDT Workshops, 2-9, 2018
52018
Sola: Stream olap-based analytical framework for roadway maintenance
T Komamizu, T Amagasa, SA Shaikh, H Shiokawa, H Kitagawa
Proceedings of the 9th International Conference on Management of Digital …, 2017
42017
Detection of birds in a 3D environment referring to audio-visual information
Y Kawanishi, I Ide, B Chu, C Matsuhira, MA Kastner, T Komamizu, ...
2022 18th IEEE International Conference on Advanced Video and Signal Based …, 2022
32022
Differential translation for Japanese partially amended statutory sentences
T Yamakoshi, T Komamizu, Y Ogawa, K Toyama
New Frontiers in Artificial Intelligence: JSAI-isAI 2020 Workshops, JURISIN …, 2021
32021
An Ensemble Framework of Multi-ratio Undersampling-based Imbalanced Classification.
T Komamizu, Y Ogawa, K Toyama
J. Data Intell. 2 (1), 30-46, 2021
32021
MUEnsemble: multi-ratio undersampling-based ensemble framework for imbalanced data
T Komamizu, R Uehara, Y Ogawa, K Toyama
Database and Expert Systems Applications: 31st International Conference …, 2020
32020
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20