Toshiyuki AMAGASA

About Toshiyuki AMAGASA

Toshiyuki AMAGASA, With an exceptional h-index of 22 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Tsukuba, specializes in the field of Database, Data Engineering, Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-Dimensional Fused Gromov Wasserstein Discrepancy for Edge-Attributed Graphs

Finformer: Fast Incremental and General Time Series Data Prediction

Correction to: Integration of Knowledge Bases and External Information Sources via Magic Properties and Query-Driven Entity Linking

Self-Attention-based Data Augmentation Method for Text Classification

BPF: a novel cluster boundary points detection method for static and streaming data

Integration of Knowledge Bases and External Information Sources via Magic Properties and Query-Driven Entity Linking

CSER: Enhancing Cybersecurity Entity Recognition Through Multidimensional Feature Fusion

A graph-based blocking approach for entity matching using contrastively learned embeddings

Toshiyuki AMAGASA Information

University

Position

___

Citations(all)

3223

Citations(since 2020)

720

Cited By

2681

hIndex(all)

22

hIndex(since 2020)

15

i10Index(all)

55

i10Index(since 2020)

22

Email

University Profile Page

Google Scholar

Toshiyuki AMAGASA Skills & Research Interests

Database

Data Engineering

Data Mining

Top articles of Toshiyuki AMAGASA

Title

Journal

Author(s)

Publication Date

Multi-Dimensional Fused Gromov Wasserstein Discrepancy for Edge-Attributed Graphs

IEICE TRANSACTIONS on Information and Systems

Keisuke KAWANO

Satoshi KOIDE

Hiroaki SHIOKAWA

Toshiyuki AMAGASA

2024/5/1

Finformer: Fast Incremental and General Time Series Data Prediction

IEICE TRANSACTIONS on Information and Systems

Savong BOU

Toshiyuki AMAGASA

Hiroyuki KITAGAWA

2024/5/1

Correction to: Integration of Knowledge Bases and External Information Sources via Magic Properties and Query-Driven Entity Linking

Yuuki Ohmori

Hiroyuki Kitagawa

Toshiyuki Amagasa

Akiyoshi Matono

2023/11/22

Self-Attention-based Data Augmentation Method for Text Classification

Mehari Yohannes Hailemariam

Steven Lynden

Akiyoshi Matono

Toshiyuki Amagasa

2023/2/17

BPF: a novel cluster boundary points detection method for static and streaming data

Knowledge and information systems

Vijdan Khalique

Hiroyuki Kitagawa

Toshiyuki Amagasa

2023/7

Integration of Knowledge Bases and External Information Sources via Magic Properties and Query-Driven Entity Linking

Yuuki Ohmori

Hiroyuki Kitagawa

Toshiyuki Amagasa

Akiyoshi Matono

2023/11/22

CSER: Enhancing Cybersecurity Entity Recognition Through Multidimensional Feature Fusion

Md Abu Marjan

Toshiyuki Amagasa

2023/12/15

A graph-based blocking approach for entity matching using contrastively learned embeddings

ACM SIGAPP Applied Computing Review

John Bosco Mugeni

Toshiyuki Amagasa

2023/2/10

Buffer-based adaptive fuzzy classifier

Applied Intelligence

Sajal Debnath

Md Manjur Ahmed

Samir Brahim Belhaouari

Toshiyuki Amagasa

Mostafijur Rahman

2023/6

TraPM: A Framework for Online Pattern Matching Over Trajectory Streams

Rina Trisminingsih

Salman Ahmed Shaikh

Toshiyuki Amagasa

Hiroyuki Kitagawa

Akiyoshi Matono

2023/11/22

Efficient Missing Value Imputation by Maximum Distance Likelihood

Savong Bou

Toshiyuki Amagasa

Hiroyuki Kitagawa

Salman Ahmed Shaikh

Akiyoshi Matono

2023/12/15

AtLASS: A Scheme for End-to-End Prediction of Splice Sites Using Attention-based Bi-LSTM

IPSJ Transactions on Bioinformatics

Ryo Harada

Keitaro Kume

Kazumasa Horie

Takuro Nakayama

Yuji Inagaki

...

2023

AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning

John Bosco Mugeni

Steven Lynden

Toshiyuki Amagasa

Akiyoshi Matono

2023/5/5

RDF Data Partitioning for Efficient SPARQL Query Processing with Spark SQL

Kosuke Yamasaki

Toshiyuki Amagasa

2023/11/22

Supporting Practical URI Mappings in Virtual Knowledge Graph-based Relational Data Integration

Shogo Sato

Tadashi Masuda

Toshiyuki Amagasa

2023/12/15

Dynamic Load Balancing of RDF Reasoning in Fog-Computing Environments

Yuma Kokubo

Toshiyuki Amagasa

2023/3/27

Augmented lineage: traceability of data analysis including complex UDF processing

The VLDB Journal

Masaya Yamada

Hiroyuki Kitagawa

Toshiyuki Amagasa

Akiyoshi Matono

2023/9

Autonomic active learning strategy using cluster-based ensemble classifier for concept drifts in imbalanced data stream

Expert Systems with Applications

Bohnishikha Halder

KM Azharul Hasan

Toshiyuki Amagasa

Md Manjur Ahmed

2023/11/30

Long Text Classification Using Pre-trained Language Model for a Low-Resource Language

Hailemariam Mehari Yohannes

Toshiyuki Amagasa

2023/3/24

Database and Expert Systems Applications: 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings, Part I

Christine Strauss

Toshiyuki Amagasa

Gabriele Kotsis

A Min Tjoa

Ismail Khalil

2023/8/17

See List of Professors in Toshiyuki AMAGASA University(University of Tsukuba)