Akinori Fujino

发表

A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design

Naonori Ueda, Kazumi Saito, Akinori Fujino, 2005, AAAI.

A Semi-Supervised AUC Optimization Method with Generative Models

Naonori Ueda, Akinori Fujino, N. Ueda, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

POSTER: Toward Automating the Generation of Malware Analysis Reports Using the Sandbox Logs

Bo Sun, Tatsuya Mori, Akinori Fujino, 2016, CCS.

Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex

Naonori Ueda, Akinori Fujino, Mathieu Blondel, 2014, 2014 22nd International Conference on Pattern Recognition.

Multi-label Text Categorization with Model Combination based on F1-score Maximization

Jun Suzuki, Akinori Fujino, Hideki Isozaki, 2008, IJCNLP.

Automatically Generating Malware Analysis Reports Using Sandbox Logs

Bo Sun, Tatsuya Mori, Tao Ban, 2018, IEICE Trans. Inf. Syst..

Q-PSP learning: an exploitation-oriented Q-learning algorithm and its applications

Osamu Katai, Tetsuo Sawaragi, Tadashi Horiuchi, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Effectiveness of Automatic Expansion of Training Data for Japanese Word Sense Disambiguation

Hiroyuki Shindo, Kevin Duh, Akinori Fujino, 2011 .

Statistical Parsing with Probabilistic Symbol-Refined Tree Substitution Grammars

Hiroyuki Shindo, Yusuke Miyao, Masaaki Nagata, 2013, IJCAI.

Insertion Operator for Bayesian Tree Substitution Grammars

Hiroyuki Shindo, Masaaki Nagata, Akinori Fujino, 2011, ACL.

A Classifier Design Based on Combining Multiple Components by Maximum Entropy Principle

Naonori Ueda, Kazumi Saito, Akinori Fujino, 2005, AIRS.

Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach

Jun Suzuki, Akinori Fujino, Hideki Isozaki, 2007, EMNLP.

Tatsuya Mori, Akinori Fujino, Junichi Murakami, 2015, 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC).

Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint

Hisashi Kashima, Akinori Fujino, Yoichi Chikahara, 2020, AISTATS.

Exploratory Study of Some Acoustic and Articulatory Characteristics of Sad Speech

Donna Erickson, Kenji Yoshida, Takemi Mochida, 2006, Phonetica.

Some articulatory measurements of real sadness

Donna Erickson, Akinori Fujino, Caroline Menezes, 2004, INTERSPEECH.

Theme Park Simulation based on Questionnaires for Maximizing Visitor Surplus

Hiroshi Sawada, Akinori Fujino, Tatsushi Matsubayashi, 2020, AAMAS.

Learning Individually Fair Classifier with Causal-Effect Constraint pdf

Akinori Fujino, Yoichi Chikahara, Shinsaku Sakaue, 2020, ArXiv.

Word Sense Disambiguation by Combining Labeled Data Expansion and Semi-Supervised Learning Method

Akinori Fujino, Sanae Fujita, 2013, TALIP.

Compensatory responses of articulators to unexpected perturbation of the palate shape

Masaaki Honda, Akinori Fujino, Tokihiko Kaburagi, 2002, J. Phonetics.

MSS: Investigating the Effectiveness of Domain Combinations and Topic Features for Word Sense Disambiguation

Hiroyuki Shindo, Kevin Duh, Akinori Fujino, 2010, SemEval@ACL.

Multi-label Patent Classification at NTT Communication Science Laboratories

Akinori Fujino, Hideki Isozaki, 2007, NTCIR.

A hybrid generative/discriminative approach to text classification with additional information

Naonori Ueda, Kazumi Saito, Akinori Fujino, 2007, Inf. Process. Manag..

Fuzzy Interpolation-Based Q-Learning with Continuous Inputs and Outputs

Osamu Katai, Tetsuo Sawaragi, Tadashi Horiuchi, 1999 .

Flexible sample selection strategies for transfer learning in ranking

Kevin Duh, Akinori Fujino, Kevin Duh, 2012, Inf. Process. Manag..

SCT-D3 at the NTCIR-11 MedNLP-2 Task

Hisashi Kurasawa, Jun Suzuki, Tsutomu Hirao, 2014, NTCIR.

Machine Learning with Heterogeneous Data for Classification Problems

Akinori Fujino, 2009 .

Convex Factorization Machines

Naonori Ueda, Akinori Fujino, Mathieu Blondel, 2015, ECML/PKDD.

Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle

Naonori Ueda, Kazumi Saito, Akinori Fujino, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms pdf

Naonori Ueda, Masakazu Ishihata, Akinori Fujino, 2016, ICML.

Is Machine Translation Ripe for Cross-Lingual Sentiment Classification?

Kevin Duh, Masaaki Nagata, Akinori Fujino, 2011, ACL.

Higher-Order Factorization Machines

Naonori Ueda, Masakazu Ishihata, Akinori Fujino, 2016, NIPS.

Semi-Supervised Learning for Maximizing the Partial AUC

Akinori Fujino, Naonori Ueda, Tomoharu Iwata, 2020, AAAI.

Partial AUC Maximization via Nonlinear Scoring Functions pdf

Naonori Ueda, Akinori Fujino, N. Ueda, 2018, ArXiv.

Semi-Supervised Learning for Multi-Component Data Classification

Naonori Ueda, Kazumi Saito, Akinori Fujino, 2007, IJCAI.

A Hybrid Generative/Discriminative Classifier Design for Semi-supervised Learing

Naonori Ueda, Kazumi Saito, Akinori Fujino, 2006 .

Word Alignment with Synonym Regularization

Hiroyuki Shindo, Masaaki Nagata, Akinori Fujino, 2010, ACL.

Multi-label Classification using Logistic Regression Models for NTCIR-7 Patent Mining Task

Akinori Fujino, Hideki Isozaki, Akinori Fujino, 2008, NTCIR.

A robust semi-supervised classification method for transfer learning

Naonori Ueda, Masaaki Nagata, Akinori Fujino, 2010, CIKM.

Articulatory compensation and adaptation for unexpected palate shape perturbation

Masaaki Honda, Akinori Fujino, 2000, INTERSPEECH.

Causal Inference in Time Series via Supervised Learning

Akinori Fujino, Yoichi Chikahara, Yoichi Chikahara, 2018, IJCAI.

Q-PSP Learning: An Exploitation-Oriented Q-Learning Algorithm and Its Applications

Osamu Katai, Tetsuo Sawaragi, Tadashi Horiuchi, 1999 .

Adaptive semi-supervised learning on labeled and unlabeled data with different distributions

Naonori Ueda, Masaaki Nagata, Akinori Fujino, 2012, Knowledge and Information Systems.

Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing

Hiroyuki Shindo, Yusuke Miyao, Masaaki Nagata, 2012, ACL.

Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction

W. Bastiaan Kleijn, Guoqiang Zhang, Kenta Niwa, 2021, ICML.

Evacuation Shelter Scheduling Problem pdf

Hirohiko Suwa, Keiichi Yasumoto, Tomoharu Iwata, 2021, ArXiv.

Effect of Tone Height on Jaw and Tongue Articulation in Mandarin Chinese

Donna Erickson, Akinori Fujino, Ray Iwata, 2004 .

A Patient Support System based on Crosslingual IR and Semi-supervised Learning

Katsuhito Sudoh, Masaaki Nagata, Hajime Tsukada, 2009 .

Machine-Learning-Based Prediction of a Missed Scheduled Clinical Appointment by Patients With Diabetes

Kazuhiko Ohe, Kayo Waki, Akinori Fujino, 2016, Journal of diabetes science and technology.

Analysis of massive amount of API call logs collected from automated dynamic malware analysis systems

Tatsuya Mori, Akinori Fujino, 2013 .

Robust Naive Bayes Combination of Multiple Classifications

Naonori Ueda, Akinori Fujino, Yusuke Tanaka, 2014 .