A Study on Digital Model for Decision-Making in Crisis Response von Kosaka, Naoko, Moriguchi, Shuji, Shibayama, Akihiro, Kura, Tsuneko, Shigematsu, Naoko, Okumura, Kazuki, Mas, Erick, Okumura, Makoto, Koshimura, Shunichi, Terada, Kenjiro, Fujino, Akinori, Matsubara, Hiroshi, Hisada, Masaki

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Predicting rapid decline in kidney function among type 2 diabetes patients: A machine learning approach von Nakahara, Eri, Waki, Kayo, Kurasawa, Hisashi, Mimura, Imari, Seki, Tomohisa, Fujino, Akinori, Shiomi, Nagisa, Nangaku, Masaomi, Ohe, Kazuhiko

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Automatically Generating Malware Analysis Reports Using Sandbox Logs von SUN, Bo, FUJINO, Akinori, MORI, Tatsuya, BAN, Tao, TAKAHASHI, Takeshi, INOUE, Daisuke

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A hybrid generative/discriminative approach to text classification with additional information von Fujino, Akinori, Ueda, Naonori, Saito, Kazumi

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Making individually fair predictions with causal pathways von Chikahara, Yoichi, Sakaue, Shinsaku, Fujino, Akinori, Kashima, Hisashi

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Machine-Learning-Based Prediction of a Missed Scheduled Clinical Appointment by Patients With Diabetes von Kurasawa, Hisashi, Hayashi, Katsuyoshi, Fujino, Akinori, Takasugi, Koichi, Haga, Tsuneyuki, Waki, Kayo, Noguchi, Takashi, Ohe, Kazuhiko

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Compensatory responses of articulators to unexpected perturbation of the palate shape von Honda, Masaaki, Fujino, Akinori, Kaburagi, Tokihiko

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TripleEye: Mining Closed Itemsets with Minimum Length Thresholds Based on Ordered Inclusion Tree von Shindo, Hiroyuki, Hirao, Tsutomu, Suzuki, Jun, Fujino, Akinori, Nagata, Masaaki

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Natural Gradient Primal-Dual Method for Decentralized Learning von Niwa, Kenta, Ishii, Hiro, Sawada, Hiroshi, Fujino, Akinori, Harada, Noboru, Yokota, Rio

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Flexible sample selection strategies for transfer learning in ranking von Duh, Kevin, Fujino, Akinori

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Exploratory Study of Some Acoustic and Articulatory Characteristics of Sad Speech von Erickson, Donna, Yoshida, Kenji, Menezes, Caroline, Fujino, Akinori, Mochida, Takemi, Shibuya, Yoshiho

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Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model Development von Kurasawa, Hisashi, Waki, Kayo, Seki, Tomohisa, Chiba, Akihiro, Fujino, Akinori, Hayashi, Katsuyoshi, Nakahara, Eri, Haga, Tsuneyuki, Noguchi, Takashi, Ohe, Kazuhiko

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Identifying factors associated with locomotive syndrome using machine learning methods: The third survey of the research on osteoarthritis/osteoporosis against disability study von Nakahara, Eri, Iidaka, Toshiko, Chiba, Akihiro, Kurasawa, Hisashi, Fujino, Akinori, Shiomi, Nagisa, Maruyama, Hirohito, Horii, Chiaki, Muraki, Shigeyuki, Oka, Hiroyuki, Kawaguchi, Hiroshi, Nakamura, Kozo, Akune, Toru, Tanaka, Sakae, Yoshimura, Noriko

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Adaptive semi-supervised learning on labeled and unlabeled data with different distributions von Fujino, Akinori, Ueda, Naonori, Nagata, Masaaki

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Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle von Fujino, A., Ueda, N., Saito, K.

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CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph von Niwa, Kenta, Ueda, Naonori, Sawada, Hiroshi, Fujino, Akinori, Takeda, Shoichiro, Zhang, Guoqiang, Kleijn, W. Bastiaan

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Treatment Discontinuation Prediction in Patients With Diabetes Using a Ranking Model: Machine Learning Model Development von Kurasawa, Hisashi, Waki, Kayo, Chiba, Akihiro, Seki, Tomohisa, Hayashi, Katsuyoshi, Fujino, Akinori, Haga, Tsuneyuki, Noguchi, Takashi, Ohe, Kazuhiko

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pAUC Maximization Method for Log Analysis Robust to Overfitting and Noisy Labels von NISHIYAMA, Taishi, KUMAGAI, Atsutoshi, FUJINO, Akinori, KAMIYA, Kazunori

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Word Sense Disambiguation by Combining Labeled Data Expansion and Semi-Supervised Learning Method von Fujita, Sanae, Fujino, Akinori

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Convex Factorization Machines von Blondel, Mathieu, Fujino, Akinori, Ueda, Naonori

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