Search Results for author: Hayato Yamana

Found 7 papers, 3 papers with code

Why is the User Interface a Dark Pattern? : Explainable Auto-Detection and its Analysis

1 code implementation30 Dec 2023 Yuki Yada, Tsuneo Matsumoto, Fuyuko Kido, Hayato Yamana

In this paper, we study interpretable dark pattern auto-detection, that is, why a particular user interface is detected as having dark patterns.

NER-to-MRC: Named-Entity Recognition Completely Solving as Machine Reading Comprehension

no code implementations6 May 2023 Yuxiang Zhang, Junjie Wang, Xinyu Zhu, Tetsuya Sakai, Hayato Yamana

Named-entity recognition (NER) detects texts with predefined semantic labels and is an essential building block for natural language processing (NLP).

Machine Reading Comprehension named-entity-recognition +2

Dark patterns in e-commerce: a dataset and its baseline evaluations

1 code implementation12 Nov 2022 Yuki Yada, Jiaying Feng, Tsuneo Matsumoto, Nao Fukushima, Fuyuko Kido, Hayato Yamana

Dark patterns, which are user interface designs in online services, induce users to take unintended actions.

Fairness

Topological Measurement of Deep Neural Networks Using Persistent Homology

1 code implementation6 Jun 2021 Satoru Watanabe, Hayato Yamana

The inner representation of deep neural networks (DNNs) is indecipherable, which makes it difficult to tune DNN models, control their training process, and interpret their outputs.

Topological Data Analysis

Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption

no code implementations8 Sep 2020 Takumi Ishiyama, Takuya Suzuki, Hayato Yamana

In this study, we seek to improve the classification accuracy for inference processing in a convolutional neural network (CNN) while using homomorphic encryption.

Classification General Classification

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