✔︎ Google Scholar, ✔︎ arXiv, ✔︎ SpeakerDeck
Issey Sukeda and Tomonari Sei:
On the minimum information checkerboard copulas under fixed Kendall’s rank correlation
, Statistical Papers, 2025. ✔︎arxiv ✔︎paper
Issey Sukeda and Tomonari Sei:
Frank copula is minimum information copula under fixed Kendall’s τ
, Statistics & Probability Letters, 2025. ✔︎arxiv ✔︎paper
Issey Sukeda, Masahiro Suzuki, Hiroki Sakaji, Satoshi Kodera:
Development and analysis of medical instruction-tuning for Japanese large language models
, Artificial Intellignece in Health 1(2), 107-116, 2024. ✔︎paper
Issey Sukeda, Atsushi Miyauchi, and Akiko Takeda:
A study on modularity density maximization: Column generation acceleration and computational complexity analysis
, European Journal of Operational Research 309, pp. 516–528, 2023. ✔︎paper ✔︎arXiv
Shinnosuke Sawano, Satoshi Kodera, Masataka Sato, Susumu Katsushika, Issei Sukeda, … , and Issei Komuro:
Age prediction from coronary angiography using a deep neural network: Age as a potential label to extract prognosis-related imaging features
, Plos one 17(10), 2022. ✔︎paper
Yingjian Chen, Feiyang Li, Xingyu Song, Tianxiao Li, Issey Sukeda, and Irene Li:
Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs
, SLM4Health Workshop in Artificial Intelligence in Medicine Conference, 2025.
✔︎workshop ✔︎arxiv
Issey Sukeda:
Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resources
, NeurIPS Workshop Advancements in Medical Foundation Models, 2024.
✔︎arxiv ✔︎OpenReview ✔︎GitHub
Hiroaki Murakami, Takuya Sasatani, Masanori Sugimoto, Issey Sukeda, Yukiya Mita, Yoshihiro Kawahara:
SyncEcho: Echo-Based Single Speaker Time Offset Estimation for Time-of-Flight Localization
, Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024. ✔︎paper
Issey Sukeda, Masahiro Suzuki, Hiroki Sakaji, and Satoshi Kodera:
JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuning
, NeurIPS Workshop Deep Generative Models for Health, 2023.
✔︎arxiv ✔︎openreview ✔︎conference ✔︎poster
Issey Sukeda, Hiroaki Murakami, Yuki Nishiyama, and Yoshihiro Kawahara:
Recursive Queueing Estimation Using Smartphone-based Acoustic Ranging
, Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022. ✔︎paper ✔︎conference
Shinnosuke Sawano, Satoshi Kodera, Hirotoshi Takeuchi, Issei Sukeda, Susumu Katsushika, and Issei Komuro :
Masked Autoencoder-Based Self-Supervised Learning for Electrocardiograms to Detect Left Ventricular Systolic Dysfunction
, NeurIPS Workshop on Learning from Time Series for Health, 2022. ✔︎poster ✔︎openreview ✔︎conference
Yuuki Nishiyama, Hiroaki Murakami, Ryoto Suzuki, Kazusato Oko, Issey Sukeda, Kaoru Sezaki, and Yoshihiro Kawahara:
MOCHA: Mobile Check-in Application for University Campuses Beyond COVID-19
, Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, 253-258, 2022. ✔︎paper
Issey Sukeda, Takuro Fujii, Kosei Buma, Shunsuke Sasaki, Shinnosuke Ono
A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP
✔︎arxiv
峰岸剛基, 高木洋羽, 木澤翔太, 助田一晟, 谷中 瞳
大規模言語モデルにおいて数値属性間で共有されるスケーリングベクトルの解析とその応用
言語処理学会 第31回年次大会発表論文集
Issey Sukeda and Takeru Matsuda:
Directional statistical graphical modeling of phase-based connectivity
✔︎biorxiv
Issey Sukeda and Tomonari Sei:
Relative local dependence of bivariate copulas
✔︎arxiv
Issey Sukeda, Risa Kishikawa, and Satoshi Kodera:
70B-parameter large language models in Japanese medical question-answering
✔︎arxiv
