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Masafumi Oyamada
Masafumi Oyamada
Research Fellow / Director of Generative AI Foundation, NEC Corporation
Verified email at nec.com - Homepage
Title
Cited by
Cited by
Year
Efficient joinable table discovery in data lakes: A high-dimensional similarity-based approach
Y Dong, K Takeoka, C Xiao, M Oyamada
International Conference on Data Engineering (ICDE), 456-467, 2021
552021
Meimei: An efficient probabilistic approach for semantically annotating tables
K Takeoka, M Oyamada, S Nakadai, T Okadome
AAAI Conference on Artificial Intelligence (AAAI) 33 (01), 281-288, 2019
422019
Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data
M Oyamada, S Nakadai
IEEE International Conference on Data Mining (ICDM), 357-366, 2017
18*2017
Data Stream Processing with Concurrency Control
M Oyamada, H Kawashima, H Kitagawa
ACM SIGAPP Applied Computing Review 13 (2), 54-65, 2013
17*2013
Low-resource taxonomy enrichment with pretrained language models
K Takeoka, K Akimoto, M Oyamada
Empirical Methods in Natural Language Processing (EMNLP), 2747-2758, 2021
162021
DeepJoin: Joinable Table Discovery with Pre-trained Language Models
Y Dong, C Xiao, T Nozawa, M Enomoto, M Oyamada
arXiv preprint arXiv:2212.07588, 2022
112022
Continuous top-k spatial–keyword search on dynamic objects
Y Dong, C Xiao, H Chen, JX Yu, K Takeoka, M Oyamada, H Kitagawa
The VLDB Journal 30 (2), 141-161, 2021
112021
Extracting feature engineering knowledge from data science notebooks
M Oyamada
IEEE International Conference on Big Data (Big Data), 6172-6173, 2019
112019
Learning with unsure responses
K Takeoka, Y Dong, M Oyamada
AAAI Conference on Artificial Intelligence (AAAI) 34 (01), 230-237, 2020
72020
Table-meaning estimation system, method, and program
H Sato, M Oyamada, S Nakadai
US Patent 11,062,213, 2021
62021
Table enrichment system for machine learning
Y Dong, M Oyamada
Conference on Research and Development in Information Retrieval (SIGIR …, 2022
52022
Data processing device, data processing method, and recording medium
M Oyamada
US Patent 10,621,173, 2020
52020
Jellyfish: A Large Language Model for Data Preprocessing
H Zhang, Y Dong, C Xiao, M Oyamada
arXiv preprint arXiv:2312.01678, 2023
4*2023
Compressed Vector Set: A Fast and Space-Efficient Data Mining Framework
M Oyamada, J Liu, S Ito, K Narita, T Araki, H Kitagawa
Journal of information processing 26, 416-426, 2018
4*2018
PA-Proxy: Accerelating Data Aggregation in SQL-on-Hadoop Systems
M Oyamada, T Cheng, K Narita, T Araki
DEIM, 2015
3*2015
Prediction model generation system, method, and program
M Oyamada, S Nakadai
US Patent 11,188,568, 2021
12021
User Identity Linkage for Different Behavioral Patterns across Domains
G Kusano, M Oyamada
AAAI Conference on Web and Social Media (ICWSM) 15, 351-360, 2021
12021
Quality Control for Hierarchical Classification with Incomplete Annotations
M Enomoto, K Takeoka, Y Dong, M Oyamada, T Okadome
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp …, 2021
12021
Information processing device, information processing method, and recording medium
M Oyamada
US Patent 10,726,013, 2020
12020
Accelerating Feature Engineering with Adaptive Partial Aggregation Tree
M Oyamada
IEEE International Conference on Big Data (Big Data), 5417-5419, 2018
12018
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