Toshiaki Koike–Akino

Also affiliated with Mitsubishi Electric (United States)

EngineeringComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Learning Invariant Representations From EEG via Adversarial Inference”.

Learning Invariant Representations From EEG via Adversarial Inference

IEEE Access(2020)10.1109/access.2020.2971600

N/A

0DataRank · unranked

99 citations

Ye Wang, Toshiaki Koike–Akino, Deniz Erdoğmuş, Ozan Özdenizci

Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction

IEEE Signal Processing Letters(2020)10.1109/lsp.2020.3020215

N/A

0DataRank · unranked

31 citations

Ozan Özdenizci, Ye Wang, Toshiaki Koike–Akino, Deniz Erdoğmuş, Mo Han

Analyzing Inference Privacy Risks Through Gradients In Machine Learning

(2024)10.1145/3658644.3690304

N/A

0DataRank · unranked

7 citations

Andrew Lowy, Jing Liu, Toshiaki Koike–Akino, Kieran Parsons, Bradley Malin +2 more

Analyzing Inference Privacy Risks Through Gradients in Machine Learning

arXiv (Cornell University)(2024)10.48550/arxiv.2408.16913

N/A

0DataRank · unranked

0 citations

Andrew M. Lowy, Jing Liu, Toshiaki Koike–Akino, Kieran Parsons, Bradley Malin +2 more