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Akinori Fujino
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2020 – today
- 2024
- [j11]Kenta Niwa
, Hiro Ishii, Hiroshi Sawada
Natural Gradient Primal-Dual Method for Decentralized Learning. IEEE Trans. Signal Inf. Process. over Networks 10: 417-433 (2024) - [c36]Taishi Nishiyama, Atsutoshi Kumagai, Akinori Fujino, Kazunori Kamiya:
Malicious Log Detection Using Machine Learning to Maximize the Partial AUC. CCNC 2024: 339-344 - [c35]Taishi Nishiyama, Atsutoshi Kumagai, Akinori Fujino, Kazunori Kamiya:
Partial AUC Maximization for Security Log Analysis Robust to Overfitting and Noisy Labels. GLOBECOM 2024: 4804-4810 - 2023
- [j10]Yoichi Chikahara
Making individually fair predictions with causal pathways. Data Min. Knowl. Discov. 37(4): 1327-1373 (2023) - [j9]Kenta Niwa
CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph. IEEE Trans. Signal Inf. Process. over Networks 9: 242-257 (2023) - [c34]Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto:
School Families: A New Formulation of School District Planning Problem. HICSS 2023: 5122-5131 - 2022
- [c33]Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto:
Evacuation Shelter Scheduling Problem. HICSS 2022: 1-10 - 2021
- [c32]Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima:
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint. AISTATS 2021: 145-153 - [c31]Taishi Nishiyama, Atsutoshi Kumagai, Akinori Fujino, Kazunori Kamiya:
Sharpshooting Most Beneficial Part of AUC for Detecting Malicious Logs. AusDM 2021: 31-46 - [c30]Kenta Niwa, Guoqiang Zhang, W. Bastiaan Kleijn, Noboru Harada, Hiroshi Sawada, Akinori Fujino:
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction. ICML 2021: 8195-8204 - [i5]Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto:
Evacuation Shelter Scheduling Problem. CoRR abs/2111.13326 (2021) - 2020
- [c29]Tomoharu Iwata, Akinori Fujino, Naonori Ueda:
Semi-Supervised Learning for Maximizing the Partial AUC. AAAI 2020: 4239-4246 - [c28]Hitoshi Shimizu, Tatsushi Matsubayashi, Akinori Fujino, Hiroshi Sawada:
Theme Park Simulation based on Questionnaires for Maximizing Visitor Surplus. AAMAS 2020: 2002-2004 - [i4]Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino:
Learning Individually Fair Classifier with Causal-Effect Constraint. CoRR abs/2002.06746 (2020)
2010 – 2019
- 2018
- [j8]Bo Sun, Akinori Fujino, Tatsuya Mori
Automatically Generating Malware Analysis Reports Using Sandbox Logs. IEICE Trans. Inf. Syst. 101-D(11): 2622-2632 (2018) - [c27]Yoichi Chikahara
Causal Inference in Time Series via Supervised Learning. IJCAI 2018: 2042-2048 - [i3]Naonori Ueda, Akinori Fujino:
Partial AUC Maximization via Nonlinear Scoring Functions. CoRR abs/1806.04838 (2018) - 2016
- [c26]Bo Sun, Akinori Fujino, Tatsuya Mori
POSTER: Toward Automating the Generation of Malware Analysis Reports Using the Sandbox Logs. CCS 2016: 1814-1816 - [c25]Akinori Fujino, Naonori Ueda:
A Semi-Supervised AUC Optimization Method with Generative Models. ICDM 2016: 883-888 - [c24]Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda:
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms. ICML 2016: 850-858 - [c23]Mathieu Blondel, Akinori Fujino, Naonori Ueda, Masakazu Ishihata:
Higher-Order Factorization Machines. NIPS 2016: 3351-3359 - [i2]Mathieu Blondel, Akinori Fujino, Naonori Ueda, Masakazu Ishihata:
Higher-Order Factorization Machines. CoRR abs/1607.07195 (2016) - [i1]Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda:
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms. CoRR abs/1607.08810 (2016) - 2015
- [c22]Akinori Fujino, Junichi Murakami, Tatsuya Mori
Discovering similar malware samples using API call topics. CCNC 2015: 140-147 - [c21]Mathieu Blondel, Akinori Fujino, Naonori Ueda:
Convex Factorization Machines. ECML/PKDD (2) 2015: 19-35 - 2014
- [c20]Mathieu Blondel, Akinori Fujino, Naonori Ueda:
Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex. ICPR 2014: 1289-1294 - [c19]Akinori Fujino, Jun Suzuki, Tsutomu Hirao, Hisashi Kurasawa, Katsuyoshi Hayashi:
SCT-D3 at the NTCIR-11 MedNLP-2 Task. NTCIR 2014 - 2013
- [j7]Akinori Fujino, Naonori Ueda, Masaaki Nagata:
Adaptive semi-supervised learning on labeled and unlabeled data with different distributions. Knowl. Inf. Syst. 37(1): 129-154 (2013) - [j6]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): 7:1-7:26 (2013) - [c18]Hiroyuki Shindo, Yusuke Miyao, Akinori Fujino, Masaaki Nagata:
Statistical Parsing with Probabilistic Symbol-Refined Tree Substitution Grammars. IJCAI 2013: 3082-3086 - 2012
- [j5]Kevin Duh, Akinori Fujino:
Flexible sample selection strategies for transfer learning in ranking. Inf. Process. Manag. 48(3): 502-512 (2012) - [c17]Hiroyuki Shindo, Yusuke Miyao, Akinori Fujino, Masaaki Nagata:
Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing. ACL (1) 2012: 440-448 - 2011
- [c16]Hiroyuki Shindo, Akinori Fujino, Masaaki Nagata:
Insertion Operator for Bayesian Tree Substitution Grammars. ACL (2) 2011: 206-211 - [c15]Kevin Duh, Akinori Fujino, Masaaki Nagata:
Is Machine Translation Ripe for Cross-Lingual Sentiment Classification? ACL (2) 2011: 429-433 - [c14]Sanae Fujita, Akinori Fujino:
Word Sense Disambiguation by Combining Labeled Data Expansion and Semi-Supervised Learning Method. IJCNLP 2011: 676-685 - 2010
- [c13]Hiroyuki Shindo, Akinori Fujino, Masaaki Nagata:
Word Alignment with Synonym Regularization. ACL (2) 2010: 137-141 - [c12]Akinori Fujino, Naonori Ueda, Masaaki Nagata:
A robust semi-supervised classification method for transfer learning. CIKM 2010: 379-388 - [c11]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: 383-386
2000 – 2009
- 2008
- [j4]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): 424-437 (2008) - [c10]Akinori Fujino, Hideki Isozaki, Jun Suzuki:
Multi-label Text Categorization with Model Combination based on F1-score Maximization. IJCNLP 2008: 823-828 - [c9]Akinori Fujino, Hideki Isozaki:
Multi-label Classification using Logistic Regression Models for NTCIR-7 Patent Mining Task. NTCIR 2008 - 2007
- [j3]Akinori Fujino, Naonori Ueda, Kazumi Saito:
A hybrid generative/discriminative approach to text classification with additional information. Inf. Process. Manag. 43(2): 379-392 (2007) - [c8]Jun Suzuki, Akinori Fujino, Hideki Isozaki:
Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach. EMNLP-CoNLL 2007: 791-800 - [c7]Akinori Fujino, Naonori Ueda, Kazumi Saito:
Semi-Supervised Learning for Multi-Component Data Classification. IJCAI 2007: 2754-2759 - [c6]Akinori Fujino, Hideki Isozaki:
Multi-label Patent Classification at NTT Communication Science Laboratories. NTCIR 2007 - 2006
- [j2]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): 1-25 (2006) - 2005
- [c5]Akinori Fujino, Naonori Ueda, Kazumi Saito:
A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design. AAAI 2005: 764-769 - [c4]Akinori Fujino, Naonori Ueda, Kazumi Saito:
A Classifier Design Based on Combining Multiple Components by Maximum Entropy Principle. AIRS 2005: 423-438 - 2004
- [c3]Donna Erickson, Caroline Menezes, Akinori Fujino:
Some articulatory measurements of real sadness. INTERSPEECH 2004: 1825-1828 - 2002
- [j1]Masaaki Honda, Akinori Fujino, Tokihiko Kaburagi:
Compensatory responses of articulators to unexpected perturbation of the palate shape. J. Phonetics 30(3): 281-302 (2002) - 2000
- [c2]Masaaki Honda, Akinori Fujino:
Articulatory compensation and adaptation for unexpected palate shape perturbation. INTERSPEECH 2000: 170-173
1990 – 1999
- 1996
- [c1]Tadashi Horiuchi, Akinori Fujino, Osamu Katai, Tetsuo Sawaragi:
Q-PSP Learning: An Exploitation-Oriented Q-Learning Algorithm and Its Applications. International Conference on Evolutionary Computation 1996: 76-81
Coauthor Index
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