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  • Trial analysis of brain activity information for the presymptomatic disease detection of rheumatoid arthritis

    Keisuke Maeda, Takahiro Ogawa, Tasuku Kayama, Takuya Sasaki, Kazuki Tainaka, Masaaki Murakami, Miki Haseyama

    Bioengineering

  • Generalizing deep learning-based distress segmentation models for subway tunnel images by test-time training

    Zongyao Li, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

    Intelligence, Informatics and Infrastructure

  • 工事現場の定点カメラを用いた物体検出および姿勢推定に基づくZero-shot高リスク状況検出

    大羽賀 駿也, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀

    AI・データサイエンス論文集

  • 大規模言語モデルを用いた通報音声からの事象発生地点予測

    吉田 将規, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀

    AI・データサイエンス論文集

  • Spatial-temporal attentionを導入した再帰型ニューラルネットワークに基づく重機との接触事故リスクの推定

    五箇 亮太, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀

    AI・データサイエンス論文集

  • 地下鉄トンネル点検における技術者のモーションデータを用いた熟練度分類 – 説明可能なGraph Convolutional Networkの導入 –

    清野竜生, 斉藤直輝, 前田圭介, 小川貴弘, 長谷山美紀

    AI・データサイエンス論文集

  • Algal bed region segmentation based on a ViT adapter using aerial images for estimating CO2 absorption capacity

    Guang Li, Ren Togo, Keisuke Maeda, Akinori Sako, Isao Yamauchi, Tetsuya Hayakawa, Shigeyuki Nakamae, Takahiro Ogawa, Miki Haseyama

    Remote Sensing

  • A novel frame-selection metric for video inpainting to enhance urban feature extraction

    Yuhu Feng, Jiahuan Zhang, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

    Sensors

  • Expert–novice level classification using graph convolutional network introducing confidence-aware node-level attention mechanism

    Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama

    Sensors

  • Analysis of continual learning techniques for image generative models with learned class information management

    Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

    Sensors

  • Automatic findings generation for distress images using in-context few-shot learning of visual language model based on image similarity and text diversity

    Yuto Watanabe, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

    Journal of Robotics and Mechatronics

  • Parameter-efficient tuning of cross-modal retrieval for a specific database via trainable textual and visual prompts

    Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama

    International Journal of Multimedia Information Retrieval

  • Individual persistence adaptation for user-centric evaluation of user satisfaction in recommender systems

    Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

    IEEE Access

  • Text-guided image editing based on post score for gaining attention on social media

    Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

    Sensors

  • Importance-aware adaptive dataset distillation

    Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

    Neural Networks

  • Zero-shot visual sentiment prediction via cross-domain knowledge distillation

    Yuya Moroto, Yingrui Ye, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

    IEEE Open Journal of Signal Processing

  • Source-data-free cross-domain knowledge transfer for semantic segmentation

    Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

    IEEE Open Journal of Signal Processing

  • TolerantGAN: text-guided image manipulation tolerant to real-world image

    Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

    IEEE Open Journal of Signal Processing

  • Flexibly manipulating popularity bias for tackling trade-offs in recommendation

    Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

    Information Processing & Management

  • Zero-shot traffic sign recognition based on midlevel feature matching

    Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

    Sensors