Evaluation of a Soft-Surfaced Multi-touch Interface. - Anna Noguchi; Toshifumi Kurosawa; Ayaka Suzuki; Yuichiro Sakamoto; Tatsuhito Oe; Takuto Yoshikawa; Buntarou Shizuki; Jiro Tanaka (HCI (4), 2013)

Deep learning achieves perfect anomaly detection on 108, 308 retinal images including unlearned diseases. - Ayaka Suzuki; Yoshiro Suzuki (CoRR, 2020)

Difficulty-Controllable Neural Question Generation for Reading Comprehension using Item Response Theory. - Masaki Uto; Yuto Tomikawa; Ayaka Suzuki (BEA@ACL, 2023)

Building a Large Dataset of Human-Generated Captions for Science Diagrams. - Yuri Sato 001; Ayaka Suzuki; Koji Mineshima (Diagrams, 2024)

Question Difficulty Prediction Based on Virtual Test-Takers and Item Response Theory. - Masaki Uto; Yuto Tomikawa; Ayaka Suzuki (EcalLAC@AIED, 2024)

Adaptive Question-Answer Generation With Difficulty Control Using Item Response Theory and Pretrained Transformer Models. - Yuto Tomikawa; Ayaka Suzuki; Masaki Uto (IEEE Trans. Learn. Technol., 2024)