Hiroya Inakoshi

20 papers A* 4B 1C 1Journal 5Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A* conf
"I think this is fair": Uncovering the Complexities of Stakeholder Decision-Making in AI Fairness Assessment.
CHI
Lin Luo, Yuri Nakao, Mathieu Chollet, Hiroya Inakoshi, Simone Stumpf
2025 J jnl
"I think this is fair": Uncovering the Complexities of Stakeholder Decision-Making in AI Fairness Assessment.
CoRR
Lin Luo, Yuri Nakao, Mathieu Chollet, Hiroya Inakoshi, Simone Stumpf
2025 J jnl
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders.
Proc. ACM Hum. Comput. Interact.
Lin Luo, Yuri Nakao, Mathieu Chollet, Hiroya Inakoshi, Simone Stumpf
2024 J jnl
EARN Fairness: Explaining, Asking, Reviewing and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders.
CoRR
Lin Luo, Yuri Nakao, Mathieu Chollet, Hiroya Inakoshi, Simone Stumpf
2023 — conf
Leveraging Cognitive Science for Testing Large Language Models.
AITest
Ramya Srinivasan, Hiroya Inakoshi, Kanji Uchino
2021 C conf
Elite BackProp: Training Sparse Interpretable Neurons.
NeSy
Theodoros Kasioumis, Joe Townsend, Hiroya Inakoshi
2020 — conf
ERIC: Extracting Relations Inferred from Convolutions.
ACCV (3)
Joe Townsend, Theodoros Kasioumis, Hiroya Inakoshi
2020 J jnl
ERIC: Extracting Relations Inferred from Convolutions.
CoRR
Joe Townsend, Theodoros Kasioumis, Hiroya Inakoshi
2020 A* conf
Putting Accountability of AI Systems into Practice.
IJCAI
Beatriz San Miguel, Aisha Naseer, Hiroya Inakoshi
2019 B conf
Automatic Neural Network Search Method for Open Set Recognition.
ICIP
Li Sun, Xiaoyi Yu, Liuan Wang, Jun Sun, Hiroya Inakoshi, Ken Kobayashi, Hiromichi Kobashi
2019 A* conf
DTM-Based Filtrations.
SoCG
Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda
2018 J jnl
DTM-based filtrations.
CoRR
Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda
2018 A* conf
Learning Multi-Way Relations via Tensor Decomposition With Neural Networks.
AAAI
Koji Maruhashi, Masaru Todoriki, Takuya Ohwa, Keisuke Goto, Yu Hasegawa, Hiroya Inakoshi, Hirokazu Anai
2018 — conf
Prediction Based Deep Autoencoding Model for Anomaly Detection.
ACCV Workshops
Zhanzhong Pang, Xiaoyi Yu, Jun Sun, Hiroya Inakoshi
2016 — conf
Extraction Algorithms for Hierarchical Header Structures from Spreadsheets.
EDBT/ICDT Workshops
Keisuke Goto, Yuiko Ohta, Hiroya Inakoshi, Nobuhiro Yugami
2015 — conf
A Fast Algorithm for Matching Planar Maps with Minimum Fréchet Distances.
BigSpatial@SIGSPATIAL
Junichi Shigezumi, Tatsuya Asai, Hiroaki Morikawa, Hiroya Inakoshi
2014 — conf
Discovery of Areas with Locally Maximal Confidence from Location Data.
DASFAA (1)
Hiroya Inakoshi, Hiroaki Morikawa, Tatsuya Asai, Nobuhiro Yugami, Seishi Okamoto
2013 — conf
Mining Frequent Partite Episodes with Partwise Constraints.
NFMCP
Takashi Katoh, Shin-ichiro Tago, Tatsuya Asai, Hiroaki Morikawa, Junichi Shigezumi, Hiroya Inakoshi
2012 — conf
EVIS: A Fast and Scalable Episode Matching Engine for Massively Parallel Data Streams.
DASFAA (2)
Shin-ichiro Tago, Tatsuya Asai, Takashi Katoh, Hiroaki Morikawa, Hiroya Inakoshi
2010 — conf
Chimera: Stream-Oriented XML Filtering/Querying Engine.
DASFAA (2)
Tatsuya Asai, Shin-ichiro Tago, Hiroya Inakoshi, Seishi Okamoto, Masayuki Takeda