Incheon Paik

Incheon Paik

University of Aizu

H-index: 19

Asia-Japan

About Incheon Paik

Incheon Paik, With an exceptional h-index of 19 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Aizu, specializes in the field of Deep Learning Application, Service Computing, Semantic Web, Web Data Mining, Big Data.

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

Web service embedding: Representing the invocation association between services with practical-valued vectors

Finding stable periodic-frequent itemsets in big columnar databases

AI to Judge AI-Generated Images: Both Semantics and Perception Matter

DEAP Dataset for Emotion Recognition Based on Transformer--Only Use Traditional Transformer

Bridging the Gap between Medical Tabular Data and NLP Predictive Models: A Fuzzy-Logic-Based Textualization Approach

Patient Similarity using Electronic Health Records and Self-supervised Learning

Constraint-driven Complexity-aware Data Science Workflow for AutoBDA

Medical BigBERTa: An Optimized Transformer for Long Medical Document

Incheon Paik Information

University

Position

___

Citations(all)

1457

Citations(since 2020)

743

Cited By

1026

hIndex(all)

19

hIndex(since 2020)

14

i10Index(all)

47

i10Index(since 2020)

28

Email

University Profile Page

University of Aizu

Google Scholar

View Google Scholar Profile

Incheon Paik Skills & Research Interests

Deep Learning Application

Service Computing

Semantic Web

Web Data Mining

Big Data

Top articles of Incheon Paik

Title

Journal

Author(s)

Publication Date

Web service embedding: Representing the invocation association between services with practical-valued vectors

Expert Systems with Applications

Kungan Zeng

Incheon Paik

2024/3/15

Finding stable periodic-frequent itemsets in big columnar databases

IEEE Access

Hong N Dao

Penugonda Ravikumar

Palla Likhitha

Uday Kiran Rage

Yutaka Watanobe

...

2023/2/1

AI to Judge AI-Generated Images: Both Semantics and Perception Matter

Jean Flaherty

Chibuike Onuoha

Incheon Paik

Truong Cong Thang

2023/9/3

DEAP Dataset for Emotion Recognition Based on Transformer--Only Use Traditional Transformer

IEICE Technical Report; IEICE Tech. Rep.

Wu Ao

Incheon Paik

2023/5/26

Bridging the Gap between Medical Tabular Data and NLP Predictive Models: A Fuzzy-Logic-Based Textualization Approach

Electronics

Chérubin Mugisha

Incheon Paik

2023/4/13

Patient Similarity using Electronic Health Records and Self-supervised Learning

Hong N Dao

Incheon Paik

2023/12/18

Constraint-driven Complexity-aware Data Science Workflow for AutoBDA

IEEE Transactions on Big Data

Akila Siriweera

Incheon Paik

Huawei Huang

2023/3/13

Medical BigBERTa: An Optimized Transformer for Long Medical Document

Authorea Preprints

Chérubin Mugisha

Incheon Paik

2023/10/31

Code Clone Detection Using Boosting Algorithms

MV Thanoshan

Kuhaneswaran Banujan

BTGS Kumara

S Prasanth

Zhenni Li

...

2023/2/23

A Multimodal Transfer Learning Approach for Medical Image Classification

Hong N Dao

Tuyen Nguyen

Cherubin Mugisha

Incheon Paik

2023/10/23

Towards QoE Management for Post-Pandemic Online Learning

Truong Cong Thang

Yutaka Watanobe

Rage Uday Kiran

Incheon Paik

2022/10/19

A Novel Chat-Bot using Ontology Based on GPT-2

IEICE Technical Report; IEICE Tech. Rep.

Marika Kuwabara

Incheon Paik

2022/5/20

Web-based Automatic Deep Learning Service Generation System by Ontology Technologies

Incheon Paik

Kungan Zeng

Munhan Bae

2022/12/9

Quantum machine learning with quantum image representations

Tuyen Nguyen

Incheon Paik

Hiroyuki Sagawa

Truong Cong Thang

2022/9/18

Improvement of Performance of Question and Answering System using Ontology Generation

IEICE Technical Report; IEICE Tech. Rep.

Ayato Kuwana

Incheon Paik

2022/5/20

Optimization of biomedical language model with optuna and a sentencepiece tokenization for NER

Chérubin Mugisha

Incheon Paik

2022/12/6

Towards quantum scalable data for heterogeneous computing environments

Tuyen Nguyen

Incheon Paik

Hiroyuki Sagawa

Truong Cong Thang

2022/9/18

An evaluation of hardware-efficient quantum neural networks for image data classification

Electronics

Tuyen Nguyen

Incheon Paik

Yutaka Watanobe

Truong Cong Thang

2022/2/1

Transfer Learning for Medical Image Classification on Multiple Datasets using PubMedCLIP

Hee E Kim

Alejandro Cosa-Linan

Nandhini Santhanam

Mahboubeh Jannesari

Mate E Maros

...

2022/12

Towards efficient discovery of stable periodic patterns in big columnar temporal databases

Hong N Dao

Penugonda Ravikumar

P Likitha

Bathala Venus Vikranth Raj

R Uday Kiran

...

2022/7/19

See List of Professors in Incheon Paik University(University of Aizu)

Co-Authors

H-index: 47
Michael Huhns

Michael Huhns

University of South Carolina

H-index: 25
Neil Yen

Neil Yen

University of Aizu

H-index: 13
B. T. G. Samantha Kumara

B. T. G. Samantha Kumara

Sabaragamuwa University of Sri Lanka

H-index: 10
Yuichi Yaguchi

Yuichi Yaguchi

University of Aizu

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