Hisashi Kashima

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2021

Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference.

[BibT_eX]

[DOI]

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Regret Minimization for Causal Inference on Large Treatment Space.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Dual graph convolutional neural network for predicting chemical networks.

[BibT_eX]

[DOI]

BMC Bioinform., April, 2020

Synthetic accessibility assessment using auxiliary responses.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

Chemical Property Prediction Under Experimental Biases.

[BibT_eX]

[DOI]

Yang Liu

CoRR, 2020

Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces.

[BibT_eX]

[DOI]

CoRR, 2020

Counterfactual Propagation for Semi-supervised Individual Treatment Effect Estimation.

[BibT_eX]

[DOI]

Shonosuke Harada

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Fast Unbalanced Optimal Transport on a Tree.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

An Intransitivity Model for Matchup and Pairwise Comparison.

[BibT_eX]

[DOI]

Yan Gu

Jiuding Duan

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

CrowDEA: Multi-View Idea Prioritization with Crowds.

[BibT_eX]

[DOI]

Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing, 2020

Topological Bayesian Optimization with Persistence Diagrams.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Stress Prediction from Head Motion.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

Learning to Find Hard Instances of Graph Problems.

[BibT_eX]

[DOI]

CoRR, 2019

Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family.

[BibT_eX]

[DOI]

CoRR, 2019

Large-scale Driver Identification Using Automobile Driving Data.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Context-Regularized Neural Collaborative Filtering for Game App Recommendation.

[BibT_eX]

[DOI]

Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019

Approximation Ratios of Graph Neural Networks for Combinatorial Problems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Theoretical evidence for adversarial robustness through randomization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fast Sparse Group Lasso.

[BibT_eX]

[DOI]

Yasutoshi Ida

Yasuhiro Fujiwara

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

In-Vehicle Network Intrusion Detection and Explanation Using Density Ratio Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Long-Term Prediction of Small Time-Series Data Using Generalized Distillation.

[BibT_eX]

[DOI]

Shogo Hayashi

Akira Tanimoto

Proceedings of the International Joint Conference on Neural Networks, 2019

Crownn: Human-in-the-loop Network with Crowd-generated Inputs.

[BibT_eX]

[DOI]

Yusuke Sakata

Proceedings of the IEEE International Conference on Acoustics, 2019

Interdependence Model for Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Probabilistic Modeling of Peer Correction and Peer Assessment.

[BibT_eX]

[DOI]

Takeru Sunahase

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Learning to Sample Hard Instances for Graph Algorithms.

[BibT_eX]

[DOI]

Proceedings of The 11th Asian Conference on Machine Learning, 2019

Active Change-Point Detection.

[BibT_eX]

[DOI]

Shogo Hayashi

Yoshinobu Kawahara

Proceedings of The 11th Asian Conference on Machine Learning, 2019

Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing.

[BibT_eX]

[DOI]

Jill-Jênn Vie

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Supervised and Unsupervised Intrusion Detection Based on CAN Message Frequencies for In-vehicle Network.

[BibT_eX]

[DOI]

J. Inf. Process., 2018

Dual Convolutional Neural Network for Graph of Graphs Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2018

On Reducing Dimensionality of Labeled Data Efficiently.

[BibT_eX]

[DOI]

Guoxi Zhang

Tomoharu Iwata

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Payload-Based Statistical Intrusion Detection for In-Vehicle Networks.

[BibT_eX]

[DOI]

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Simultaneous Clustering and Ranking from Pairwise Comparisons.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

BayesGrad: Explaining Predictions of Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Short-Term Precipitation Prediction with Skip-Connected PredNet.

[BibT_eX]

[DOI]

Takehiro Yamamoto

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Incorporating Worker Similarity for Label Aggregation in Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Link Prediction in Sparse Networks by Incidence Matrix Factorization.

[BibT_eX]

[DOI]

Sho Yokoi

J. Inf. Process., 2017

Iterative Reduction Worker Filtering for Crowdsourced Label Aggregation.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies.

[BibT_eX]

[DOI]

Guoxi Zhang

Tomoharu Iwata

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Distributed Multi-task Learning for Sensor Network.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

A Generalized Model for Multidimensional Intransitivity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Quality Control for Crowdsourced Multi-label Classification Using RAkEL.

[BibT_eX]

[DOI]

Kosuke Yoshimura

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Atomic Distance Kernel for Material Property Prediction.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Autoregressive Tensor Factorization for Spatio-Temporal Predictions.

[BibT_eX]

[DOI]

Koh Takeuchi

Naonori Ueda

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on coMics Analysis, 2017

Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process.

[BibT_eX]

[DOI]

Takeru Sunahase

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Crowdsourcing chart digitizer: task design and quality control for making legacy open data machine-readable.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2016

Quality control of crowdsourced classification using hierarchical class structures.

[BibT_eX]

[DOI]

Naoki Otani

Expert Syst. Appl., 2016

Participation recommendation system for crowdsourcing contests.

[BibT_eX]

[DOI]

Kei Kinoshita

Expert Syst. Appl., 2016

Budgeted stream-based active learning via adaptive submodular maximization.

[BibT_eX]

[DOI]

Kaito Fujii

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Progressive Comparison for Ranking Estimation.

[BibT_eX]

[DOI]

Ryusuke Takahama

Toshihiro Kamishima

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning to Enumerate.

[BibT_eX]

[DOI]

Patrick Jörger

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Link Prediction by Incidence Matrix Factorization.

[BibT_eX]

[DOI]

Sho Yokoi

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Quantum Energy Prediction Using Graph Kernel.

[BibT_eX]

[DOI]

Jiuding Duan

Atsuto Seko

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Quality Control for Crowdsourced POI Collection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Quality Control for Crowdsourced Hierarchical Classification.

[BibT_eX]

[DOI]

Naoki Otani

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

From one star to three stars: Upgrading legacy open data using crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem.

[BibT_eX]

[DOI]

Proceedings of The 28th Conference on Learning Theory, 2015

2014

Leveraging non-expert crowdsourcing workers for improper task detection in crowdsourcing marketplaces.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2014

Preserving worker privacy in crowdsourcing.

[BibT_eX]

[DOI]

Hiromi Arai

Data Min. Knowl. Discov., 2014

Crowdordering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Learning an accurate entity resolution model from crowdsourced labels.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, 2014

A Label Completion Approach to Crowd Approximation.

[BibT_eX]

[DOI]

Toshihiro Watanabe

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Latent Confusion Analysis by Normalized Gamma Construction.

[BibT_eX]

[DOI]

Issei Sato

Hiroshi Nakagawa

Proceedings of the 31th International Conference on Machine Learning, 2014

Steered crowdsensing: incentive design towards quality-oriented place-centric crowdsensing.

[BibT_eX]

[DOI]

Ryoma Kawajiri

Masamichi Shimosaka

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

Instance-Privacy Preserving Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Quality Control for Crowdsourced Enumeration Tasks.

[BibT_eX]

[DOI]

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Crowdsourced data analytics: A case study of a predictive modeling competition.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013

Large-Scale Personalized Human Activity Recognition Using Online Multitask Learning.

[BibT_eX]

[DOI]

Xu Sun

Naonori Ueda

IEEE Trans. Knowl. Data Eng., 2013

Fast Iterative Mining Using Sparsity-Inducing Loss Functions.

[BibT_eX]

[DOI]

Hiroto Saigo

Koji Tsuda

IEICE Trans. Inf. Syst., 2013

Matrix Factorization With Aggregated Observations.

[BibT_eX]

[DOI]

Yoshifumi Aimoto

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Accurate Integration of Crowdsourced Labels Using Workers' Self-reported Confidence Scores.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Leveraging Crowdsourcing to Detect Improper Tasks in Crowdsourcing Marketplaces.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013

EM-Based Inference of True Labels Using Confidence Judgments.

[BibT_eX]

[DOI]

Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

Crowdsourcing Quality Control for Item Ordering Tasks.

[BibT_eX]

[DOI]

Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

Statistical Quality Estimation for General Crowdsourcing Tasks.

[BibT_eX]

[DOI]

Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

Clustering Crowds.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Self-measuring Similarity for Multi-task Gaussian Process.

[BibT_eX]

[DOI]

Proceedings of the Unsupervised and Transfer Learning, 2012

Link Prediction Across Time via Cross-Temporal Locality Preserving Projections.

[BibT_eX]

[DOI]

Satoshi Oyama

Kohei Hayashi

IEICE Trans. Inf. Syst., 2012

Machine learning approach for finding business partners and building reciprocal relationships.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2012

Tensor factorization using auxiliary information.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2012

Fast Similarity Computation in Factorized Tensors.

[BibT_eX]

[DOI]

Michael E. Houle

Michael Nett

Proceedings of the Similarity Search and Applications - 5th International Conference, 2012

Hash-based structural similarity for semi-supervised Learning on attribute graphs.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Fast Computation of Subpath Kernel for Trees.

[BibT_eX]

[DOI]

Daisuke Kimura

Proceedings of the 29th International Conference on Machine Learning, 2012

Generalized Expansion Dimension.

[BibT_eX]

[DOI]

Michael E. Houle

Michael Nett

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Learning from Crowds and Experts.

[BibT_eX]

[DOI]

Proceedings of the 4th Human Computation Workshop, 2012

Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach.

[BibT_eX]

[DOI]

Nozomi Nori

Danushka Bollegala

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

A Convex Formulation for Learning from Crowds.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Statistical outlier detection using direct density ratio estimation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2011

Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

A Subpath Kernel for Rooted Unordered Trees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Statistical Performance of Convex Tensor Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A New Multi-task Learning Method for Personalized Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Cross-Temporal Link Prediction.

[BibT_eX]

[DOI]

Satoshi Oyama

Kohei Hayashi

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Fast Newton-CG Method for Batch Learning of Conditional Random Fields.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Conic Programming for Multitask Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2010

A Transfer Learning Approach and Selective Integration of Multiple Types of Assays for Biological Network Inference.

[BibT_eX]

[DOI]

Int. J. Knowl. Discov. Bioinform., 2010

Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2010

Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2010

Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism.

[BibT_eX]

[DOI]

BMC Bioinform., 2010

Protein complex prediction via verifying and reconstructing the topology of domain-domain interactions.

[BibT_eX]

[DOI]

BMC Bioinform., 2010

Parametric Return Density Estimation for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs.

[BibT_eX]

[DOI]

Rudy Raymond

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Nonparametric Return Distribution Approximation for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

2009

Robust Label Propagation on Multiple Networks.

[BibT_eX]

[DOI]

Tsuyoshi Kato

Masashi Sugiyama

IEEE Trans. Neural Networks, 2009

Roughly balanced bagging for imbalanced data.

[BibT_eX]

[DOI]

Yutaka Takahashi

Stat. Anal. Data Min., 2009

Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation.

[BibT_eX]

[DOI]

J. Inf. Process., 2009

Recent Advances and Trends in Large-Scale Kernel Methods.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2009

Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach.

[BibT_eX]

[DOI]

Bioinform., 2009

Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2009

On Pairwise Kernels: An Efficient Alternative and Generalization Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Least absolute policy iteration for robust value function approximation.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

A Linear-Time Graph Kernel.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2009, 2009

Side Effect Prediction Using Cooperative Pathways.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008

Integration of Multiple Networks for Robust Label Propagation.

[BibT_eX]

[DOI]

Tsuyoshi Kato

Masashi Sugiyama

Proceedings of the SIAM International Conference on Data Mining, 2008

Roughly Balanced Bagging for Imbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2008

Unsupervised Change Analysis Using Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

A new objective function for sequence labeling.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Regression with interval output values.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

K-means clustering of proportional data using L1 distance.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Inlier-Based Outlier Detection via Direct Density Ratio Estimation.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Training Conditional Random Fields Using Incomplete Annotations.

[BibT_eX]

[DOI]

Proceedings of the COLING 2008, 2008

2007

Risk-Sensitive Learning via Minimization of Empirical Conditional Value-at-Risk.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2007

Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Multi-Task Learning via Conic Programming.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

Risk-Sensitive Learning via Expected Shortfall Minimization.

[BibT_eX]

[DOI]

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction.

[BibT_eX]

[DOI]

Naoki Abe

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

Network-Based Problem Detection for Distributed Systems.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Data Engineering, 2005

2004

Efficient filtering methods for clustering cDNAs with spliced sequence alignment.

[BibT_eX]

[DOI]

Tetsuo Shibuya

Akihiko Konagaya

Bioinform., 2004

Eigenspace-based anomaly detection in computer systems.

[BibT_eX]

[DOI]

Tsuyoshi Idé

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Effective Dimension in Anomaly Detection: Its Application to Computer Systems.

[BibT_eX]

[DOI]

Tsuyoshi Idé

Proceedings of the New Frontiers in Artificial Intelligence - JSAI 2003 and JSAI 2004 Conferences and Workshops, Niigata, Japan, June 23-27, 2003 and Kanazawa, Japan, May 31, 2004

Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

2003

Marginalized Kernels Between Labeled Graphs.

[BibT_eX]

[DOI]