Akinori Fujino

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 24

Top Topics

Automatically Generating

Scoring Functions

Causal Inference

Top Venues

IEEE Trans. Signal Inf. Process. over Networks

Publications

Taishi Nishiyama, Atsutoshi Kumagai, Akinori Fujino, Kazunori Kamiya
Malicious Log Detection Using Machine Learning to Maximize the Partial AUC. CCNC (2024)
Kenta Niwa, Hiro Ishii, Hiroshi Sawada, Akinori Fujino, Noboru Harada, Rio Yokota
Natural Gradient Primal-Dual Method for Decentralized Learning. IEEE Trans. Signal Inf. Process. over Networks 10 (2024)
Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto
School Families: A New Formulation of School District Planning Problem. HICSS (2023)
Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima
Making individually fair predictions with causal pathways. Data Min. Knowl. Discov. 37 (4) (2023)
Kenta Niwa, Naonori Ueda, Hiroshi Sawada, Akinori Fujino, Shoichiro Takeda, Guoqiang Zhang, W. Bastiaan Kleijn
CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph. IEEE Trans. Signal Inf. Process. over Networks 9 (2023)
Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto
Evacuation Shelter Scheduling Problem. HICSS (2022)
Taishi Nishiyama, Atsutoshi Kumagai, Akinori Fujino, Kazunori Kamiya
Sharpshooting Most Beneficial Part of AUC for Detecting Malicious Logs. AusDM (2021)
Kenta Niwa, Guoqiang Zhang, W. Bastiaan Kleijn, Noboru Harada, Hiroshi Sawada, Akinori Fujino
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction. ICML (2021)
Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto
Evacuation Shelter Scheduling Problem. CoRR (2021)
Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint. AISTATS (2021)
Hitoshi Shimizu, Tatsushi Matsubayashi, Akinori Fujino, Hiroshi Sawada
Theme Park Simulation based on Questionnaires for Maximizing Visitor Surplus. AAMAS (2020)
Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino
Learning Individually Fair Classifier with Causal-Effect Constraint. CoRR (2020)
Tomoharu Iwata, Akinori Fujino, Naonori Ueda
Semi-Supervised Learning for Maximizing the Partial AUC. AAAI (2020)
Yoichi Chikahara, Akinori Fujino
Causal Inference in Time Series via Supervised Learning. IJCAI (2018)
Bo Sun, Akinori Fujino, Tatsuya Mori, Tao Ban, Takeshi Takahashi, Daisuke Inoue
Automatically Generating Malware Analysis Reports Using Sandbox Logs. IEICE Trans. Inf. Syst. (11) (2018)
Naonori Ueda, Akinori Fujino
Partial AUC Maximization via Nonlinear Scoring Functions. CoRR (2018)
Bo Sun, Akinori Fujino, Tatsuya Mori
POSTER: Toward Automating the Generation of Malware Analysis Reports Using the Sandbox Logs. CCS (2016)
Akinori Fujino, Naonori Ueda
A Semi-Supervised AUC Optimization Method with Generative Models. ICDM (2016)
Mathieu Blondel, Akinori Fujino, Naonori Ueda, Masakazu Ishihata
Higher-Order Factorization Machines. CoRR (2016)
Mathieu Blondel, Akinori Fujino, Naonori Ueda, Masakazu Ishihata
Higher-Order Factorization Machines. NIPS (2016)
Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms. ICML (2016)
Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms. CoRR (2016)
Mathieu Blondel, Akinori Fujino, Naonori Ueda
Convex Factorization Machines. ECML/PKDD (2) (2015)
Akinori Fujino, Junichi Murakami, Tatsuya Mori
Discovering similar malware samples using API call topics. CCNC (2015)
Mathieu Blondel, Akinori Fujino, Naonori Ueda
Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex. ICPR (2014)
Akinori Fujino, Jun Suzuki, Tsutomu Hirao, Hisashi Kurasawa, Katsuyoshi Hayashi
SCT-D3 at the NTCIR-11 MedNLP-2 Task. NTCIR (2014)
Akinori Fujino, Naonori Ueda, Masaaki Nagata
Adaptive semi-supervised learning on labeled and unlabeled data with different distributions. Knowl. Inf. Syst. 37 (1) (2013)
Sanae Fujita, Akinori Fujino
Word Sense Disambiguation by Combining Labeled Data Expansion and Semi-Supervised Learning Method. ACM Trans. Asian Lang. Inf. Process. 12 (2) (2013)
Hiroyuki Shindo, Yusuke Miyao, Akinori Fujino, Masaaki Nagata
Statistical Parsing with Probabilistic Symbol-Refined Tree Substitution Grammars. IJCAI (2013)
Hiroyuki Shindo, Yusuke Miyao, Akinori Fujino, Masaaki Nagata
Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing. ACL (1) (2012)
Kevin Duh, Akinori Fujino
Flexible sample selection strategies for transfer learning in ranking. Inf. Process. Manag. 48 (3) (2012)
Sanae Fujita, Akinori Fujino
Word Sense Disambiguation by Combining Labeled Data Expansion and Semi-Supervised Learning Method. IJCNLP (2011)
Hiroyuki Shindo, Akinori Fujino, Masaaki Nagata
Insertion Operator for Bayesian Tree Substitution Grammars. ACL (2) (2011)
Kevin Duh, Akinori Fujino, Masaaki Nagata
Is Machine Translation Ripe for Cross-Lingual Sentiment Classification? ACL (2) (2011)
Sanae Fujita, Kevin Duh, Akinori Fujino, Hirotoshi Taira, Hiroyuki Shindo
MSS: Investigating the Effectiveness of Domain Combinations and Topic Features for Word Sense Disambiguation. SemEval@ACL (2010)
Hiroyuki Shindo, Akinori Fujino, Masaaki Nagata
Word Alignment with Synonym Regularization. ACL (2) (2010)
Akinori Fujino, Naonori Ueda, Masaaki Nagata
A robust semi-supervised classification method for transfer learning. CIKM (2010)
Akinori Fujino, Hideki Isozaki, Jun Suzuki
Multi-label Text Categorization with Model Combination based on F1-score Maximization. IJCNLP (2008)
Akinori Fujino, Hideki Isozaki
Multi-label Classification using Logistic Regression Models for NTCIR-7 Patent Mining Task. NTCIR (2008)
Akinori Fujino, Naonori Ueda, Kazumi Saito
Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle. IEEE Trans. Pattern Anal. Mach. Intell. 30 (3) (2008)
Akinori Fujino, Hideki Isozaki
Multi-label Patent Classification at NTT Communication Science Laboratories. NTCIR (2007)
Akinori Fujino, Naonori Ueda, Kazumi Saito
Semi-Supervised Learning for Multi-Component Data Classification. IJCAI (2007)
Akinori Fujino, Naonori Ueda, Kazumi Saito
A hybrid generative/discriminative approach to text classification with additional information. Inf. Process. Manag. 43 (2) (2007)
Jun Suzuki, Akinori Fujino, Hideki Isozaki
Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach. EMNLP-CoNLL (2007)
Donna Erickson, Kenji Yoshida, Caroline Menezes, Akinori Fujino, Takemi Mochida, Yoshiho Shibuya
Exploratory Study of Some Acoustic and Articulatory Characteristics of Sad Speech. Phonetica 63 (1) (2006)
Akinori Fujino, Naonori Ueda, Kazumi Saito
A Classifier Design Based on Combining Multiple Components by Maximum Entropy Principle. AIRS (2005)
Akinori Fujino, Naonori Ueda, Kazumi Saito
A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design. AAAI (2005)
Donna Erickson, Caroline Menezes, Akinori Fujino
Some articulatory measurements of real sadness. INTERSPEECH (2004)
Masaaki Honda, Akinori Fujino, Tokihiko Kaburagi
Compensatory responses of articulators to unexpected perturbation of the palate shape. J. Phonetics 30 (3) (2002)
Masaaki Honda, Akinori Fujino
Articulatory compensation and adaptation for unexpected palate shape perturbation. INTERSPEECH (2000)
Tadashi Horiuchi, Akinori Fujino, Osamu Katai, Tetsuo Sawaragi
-Learning Algorithm and Its Applications. International Conference on Evolutionary Computation (1996)