Masafumi Oyamada

According to our database, Masafumi Oyamada authored at least 23 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DeepJoin: Joinable Table Discovery with Pre-trained Language Models.

Yuyang Dong, Chuan Xiao, Takuma Nozawa, Masafumi Enomoto, Masafumi Oyamada

Proc. VLDB Endow., 2023

Jellyfish: A Large Language Model for Data Preprocessing.

Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada

CoRR, 2023

Large Language Models as Data Preprocessors.

Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada

CoRR, 2023

QA-Matcher: Unsupervised Entity Matching Using a Question Answering Model.

Shogo Hayashi, Yuyang Dong, Masafumi Oyamada

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering.

Kosuke Akimoto, Kunihiro Takeoka, Masafumi Oyamada

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Cross-Domain User Similarity without Overlapping Attributes via Optimal Transport Theory.

Genki Kusano, Masafumi Oyamada

Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023

Towards Large Language Model Organization: A Case Study on Abstractive Summarization.

Krisztián Boros, Masafumi Oyamada

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Table Enrichment System for Machine Learning.

Yuyang Dong, Masafumi Oyamada

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Continuous top-k spatial-keyword search on dynamic objects.

Yuyang Dong, Chuan Xiao, Hanxiong Chen, Jeffrey Xu Yu, Kunihiro Takeoka, Masafumi Oyamada, Hiroyuki Kitagawa

VLDB J., 2021

Quality Control for Hierarchical Classification with Incomplete Annotations.

Masafumi Enomoto, Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada, Takeshi Okadome

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

User Identity Linkage for Different Behavioral Patterns across Domains.

Genki Kusano, Masafumi Oyamada

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach.

Yuyang Dong, Kunihiro Takeoka, Chuan Xiao, Masafumi Oyamada

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Low-resource Taxonomy Enrichment with Pretrained Language Models.

Kunihiro Takeoka, Kosuke Akimoto, Masafumi Oyamada

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Learning with Unsure Responses.

Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Extracting Feature Engineering Knowledge from Data Science Notebooks.

Masafumi Oyamada

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables.

Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Compressed Vector Set: A Fast and Space-Efficient Data Mining Framework.

Masafumi Oyamada, Jianquan Liu, Shinji Ito, Kazuyo Narita, Takuya Araki, Hiroyuki Kitagawa

J. Inf. Process., 2018

Accelerating Feature Engineering with Adaptive Partial Aggregation Tree.

Masafumi Oyamada

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Link Prediction for Isolated Nodes in Heterogeneous Network by Topic-Based Co-clustering.

Katsufumi Tomobe, Masafumi Oyamada, Shinji Nakadai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data.

Masafumi Oyamada, Shinji Nakadai

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2014

MOARLE: Matrix Operation Accelerator Based on Run-Length Encoding.

Masafumi Oyamada, Jianquan Liu, Kazuyo Narita, Takuya Araki

Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2013

Continuous query processing with concurrency control: reading updatable resources consistently.

Masafumi Oyamada, Hideyuki Kawashima, Hiroyuki Kitagawa

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2011

Efficient Invocation of Transaction Sequences Triggered by Data Streams.

Masafumi Oyamada, Hideyuki Kawashima, Hiroyuki Kitagawa

Proceedings of the 2011 International Conference on P2P, 2011