Q-PSP Learning: An Exploitation-Oriented Q-Learning Algorithm and Its Applications. - Tadashi Horiuchi; Akinori Fujino; Osamu Katai; Tetsuo Sawaragi (International Conference on Evolutionary Computation, 1996)

Articulatory compensation and adaptation for unexpected palate shape perturbation. - Masaaki Honda; Akinori Fujino (INTERSPEECH, 2000)

Compensatory responses of articulators to unexpected perturbation of the palate shape. - Masaaki Honda; Akinori Fujino; Tokihiko Kaburagi (J. Phonetics, 2002)

Some articulatory measurements of real sadness. - Donna Erickson; Caroline Menezes; Akinori Fujino (INTERSPEECH, 2004)

A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design. - Akinori Fujino; Naonori Ueda; Kazumi Saito (AAAI, 2005)

A Classifier Design Based on Combining Multiple Components by Maximum Entropy Principle. - Akinori Fujino; Naonori Ueda; Kazumi Saito (AIRS, 2005)

Exploratory Study of Some Acoustic and Articulatory Characteristics of Sad Speech. - Donna Erickson; Kenji Yoshida; Caroline Menezes; Akinori Fujino; Takemi Mochida; Yoshiho Shibuya (Phonetica, 2006)

Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach. - Jun Suzuki 001; Akinori Fujino; Hideki Isozaki (EMNLP-CoNLL, 2007)

Semi-Supervised Learning for Multi-Component Data Classification. - Akinori Fujino; Naonori Ueda; Kazumi Saito (IJCAI, 2007)

Multi-label Patent Classification at NTT Communication Science Laboratories. - Akinori Fujino; Hideki Isozaki (NTCIR, 2007)

A hybrid generative/discriminative approach to text classification with additional information. - Akinori Fujino; Naonori Ueda; Kazumi Saito (Inf. Process. Manag., 2007)

Multi-label Text Categorization with Model Combination based on F1-score Maximization. - Akinori Fujino; Hideki Isozaki; Jun Suzuki 001 (IJCNLP, 2008)

Multi-label Classification using Logistic Regression Models for NTCIR-7 Patent Mining Task. - Akinori Fujino; Hideki Isozaki (NTCIR, 2008)

Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle. - Akinori Fujino; Naonori Ueda; Kazumi Saito (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Word Alignment with Synonym Regularization. - Hiroyuki Shindo; Akinori Fujino; Masaaki Nagata (ACL (2), 2010)

A robust semi-supervised classification method for transfer learning. - Akinori Fujino; Naonori Ueda; Masaaki Nagata (CIKM, 2010)

MSS: Investigating the Effectiveness of Domain Combinations and Topic Features for Word Sense Disambiguation. - Sanae Fujita; Kevin Duh; Akinori Fujino; Hirotoshi Taira; Hiroyuki Shindo (SemEval@ACL, 2010)

Is Machine Translation Ripe for Cross-Lingual Sentiment Classification? - Kevin Duh; Akinori Fujino; Masaaki Nagata (ACL (2), 2011)

Insertion Operator for Bayesian Tree Substitution Grammars. - Hiroyuki Shindo; Akinori Fujino; Masaaki Nagata (ACL (2), 2011)

Word Sense Disambiguation by Combining Labeled Data Expansion and Semi-Supervised Learning Method. - Sanae Fujita; Akinori Fujino (IJCNLP, 2011)

Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing. - Hiroyuki Shindo; Yusuke Miyao; Akinori Fujino; Masaaki Nagata (ACL (1), 2012)

Flexible sample selection strategies for transfer learning in ranking. - Kevin Duh; Akinori Fujino (Inf. Process. Manag., 2012)

Statistical Parsing with Probabilistic Symbol-Refined Tree Substitution Grammars. - Hiroyuki Shindo; Yusuke Miyao; Akinori Fujino; Masaaki Nagata (IJCAI, 2013)

Adaptive semi-supervised learning on labeled and unlabeled data with different distributions. - Akinori Fujino; Naonori Ueda; Masaaki Nagata (Knowl. Inf. Syst., 2013)

Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex. - Mathieu Blondel; Akinori Fujino; Naonori Ueda (ICPR, 2014)

SCT-D3 at the NTCIR-11 MedNLP-2 Task. - Akinori Fujino; Jun Suzuki 001; Tsutomu Hirao; Hisashi Kurasawa; Katsuyoshi Hayashi (NTCIR, 2014)

Discovering similar malware samples using API call topics. - Akinori Fujino; Junichi Murakami; Tatsuya Mori (CCNC, 2015)

Convex Factorization Machines. - Mathieu Blondel; Akinori Fujino; Naonori Ueda (ECML/PKDD (2), 2015)

POSTER: Toward Automating the Generation of Malware Analysis Reports Using the Sandbox Logs. - Bo Sun; Akinori Fujino; Tatsuya Mori (CCS, 2016)

A Semi-Supervised AUC Optimization Method with Generative Models. - Akinori Fujino; Naonori Ueda (ICDM, 2016)

Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms. - Mathieu Blondel; Masakazu Ishihata; Akinori Fujino; Naonori Ueda (ICML, 2016)

Higher-Order Factorization Machines. - Mathieu Blondel; Akinori Fujino; Naonori Ueda; Masakazu Ishihata (NIPS, 2016)

Causal Inference in Time Series via Supervised Learning. - Yoichi Chikahara; Akinori Fujino (IJCAI, 2018)

Partial AUC Maximization via Nonlinear Scoring Functions. - Naonori Ueda; Akinori Fujino (CoRR, 2018)

Automatically Generating Malware Analysis Reports Using Sandbox Logs. - Bo Sun; Akinori Fujino; Tatsuya Mori; Tao Ban; Takeshi Takahashi 001; Daisuke Inoue (IEICE Trans. Inf. Syst., 2018)

Semi-Supervised Learning for Maximizing the Partial AUC. - Tomoharu Iwata; Akinori Fujino; Naonori Ueda (AAAI, 2020)

Theme Park Simulation based on Questionnaires for Maximizing Visitor Surplus. - Hitoshi Shimizu; Tatsushi Matsubayashi; Akinori Fujino; Hiroshi Sawada (AAMAS, 2020)

Learning Individually Fair Classifier with Causal-Effect Constraint. - Yoichi Chikahara; Shinsaku Sakaue; Akinori Fujino (CoRR, 2020)

Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint. - Yoichi Chikahara; Shinsaku Sakaue; Akinori Fujino; Hisashi Kashima (AISTATS, 2021)

Sharpshooting Most Beneficial Part of AUC for Detecting Malicious Logs. - Taishi Nishiyama; Atsutoshi Kumagai; Akinori Fujino; Kazunori Kamiya (AusDM, 2021)

Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction. - Kenta Niwa; Guoqiang Zhang 003; W. Bastiaan Kleijn; Noboru Harada; Hiroshi Sawada; Akinori Fujino (ICML, 2021)

Evacuation Shelter Scheduling Problem. - Hitoshi Shimizu; Hirohiko Suwa; Tomoharu Iwata; Akinori Fujino; Hiroshi Sawada; Keiichi Yasumoto (HICSS, 2022)

School Families: A New Formulation of School District Planning Problem. - Hitoshi Shimizu; Hirohiko Suwa; Tomoharu Iwata; Akinori Fujino; Hiroshi Sawada; Keiichi Yasumoto (HICSS, 2023)

Making individually fair predictions with causal pathways. - Yoichi Chikahara; Shinsaku Sakaue; Akinori Fujino; Hisashi Kashima (Data Min. Knowl. Discov., 2023)

CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph. - Kenta Niwa; Naonori Ueda; Hiroshi Sawada; Akinori Fujino; Shoichiro Takeda; Guoqiang Zhang 003; W. Bastiaan Kleijn (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Malicious Log Detection Using Machine Learning to Maximize the Partial AUC. - Taishi Nishiyama; Atsutoshi Kumagai; Akinori Fujino; Kazunori Kamiya (CCNC, 2024)

Partial AUC Maximization for Security Log Analysis Robust to Overfitting and Noisy Labels. - Taishi Nishiyama; Atsutoshi Kumagai; Akinori Fujino; Kazunori Kamiya (GLOBECOM, 2024)

Natural Gradient Primal-Dual Method for Decentralized Learning. - Kenta Niwa; Hiro Ishii; Hiroshi Sawada; Akinori Fujino; Noboru Harada; Rio Yokota (IEEE Trans. Signal Inf. Process. over Networks, 2024)

K2IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes. - Hideaki Kim; Tomoharu Iwata; Akinori Fujino (CoRR, 2025)