Hisashi Kashima

According to our database1, Hisashi Kashima
  • authored at least 108 papers between 2002 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2017
Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario.
CoRR, 2017

Iterative Reduction Worker Filtering for Crowdsourced Label Aggregation.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

A Generalized Model for Multidimensional Intransitivity.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Quality Control for Crowdsourced Multi-label Classification Using RAkEL.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Atomic Distance Kernel for Material Property Prediction.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing.
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.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines.
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.
I. J. Data Science and Analytics, 2016

Quality control of crowdsourced classification using hierarchical class structures.
Expert Syst. Appl., 2016

Participation recommendation system for crowdsourcing contests.
Expert Syst. Appl., 2016

Budgeted stream-based active learning via adaptive submodular maximization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Progressive Comparison for Ranking Estimation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

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

Link Prediction by Incidence Matrix Factorization.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem.
CoRR, 2015

Quantum Energy Prediction Using Graph Kernel.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Quality Control for Crowdsourced POI Collection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care.
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.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Quality Control for Crowdsourced Hierarchical Classification.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

From one star to three stars: Upgrading legacy open data using crowdsourcing.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem.
Proceedings of The 28th Conference on Learning Theory, 2015

2014
Leveraging non-expert crowdsourcing workers for improper task detection in crowdsourcing marketplaces.
Expert Syst. Appl., 2014

Preserving worker privacy in crowdsourcing.
Data Min. Knowl. Discov., 2014

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

Learning an accurate entity resolution model from crowdsourced labels.
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, 2014

A Label Completion Approach to Crowd Approximation.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Latent Confusion Analysis by Normalized Gamma Construction.
Proceedings of the 31th International Conference on Machine Learning, 2014

Instance-Privacy Preserving Crowdsourcing.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Quality Control for Crowdsourced Enumeration Tasks.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Crowdsourced Data Analytics: A Case Study of a Predictive Modeling Competition.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Crowdsourced data analytics: A case study of a predictive modeling competition.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013
Large-Scale Personalized Human Activity Recognition Using Online Multitask Learning.
IEEE Trans. Knowl. Data Eng., 2013

Fast Iterative Mining Using Sparsity-Inducing Loss Functions.
IEICE Transactions, 2013

Matrix Factorization With Aggregated Observations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Statistical quality estimation for general crowdsourcing tasks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Accurate Integration of Crowdsourced Labels Using Workers' Self-reported Confidence Scores.
Proceedings of the IJCAI 2013, 2013

Leveraging Crowdsourcing to Detect Improper Tasks in Crowdsourcing Marketplaces.
Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013

EM-Based Inference of True Labels Using Confidence Judgments.
Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

Crowdsourcing Quality Control for Item Ordering Tasks.
Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

Statistical Quality Estimation for General Crowdsourcing Tasks.
Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

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

2012
Self-measuring Similarity for Multi-task Gaussian Process.
Proceedings of the Unsupervised and Transfer Learning, 2012

Link Prediction Across Time via Cross-Temporal Locality Preserving Projections.
IEICE Transactions, 2012

Machine learning approach for finding business partners and building reciprocal relationships.
Expert Syst. Appl., 2012

Tensor factorization using auxiliary information.
Data Min. Knowl. Discov., 2012

Fast Computation of Subpath Kernel for Trees
CoRR, 2012

Parametric Return Density Estimation for Reinforcement Learning
CoRR, 2012

Fast Similarity Computation in Factorized Tensors.
Proceedings of the Similarity Search and Applications - 5th International Conference, 2012

Hash-based structural similarity for semi-supervised Learning on attribute graphs.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Fast Computation of Subpath Kernel for Trees.
Proceedings of the 29th International Conference on Machine Learning, 2012

Generalized Expansion Dimension.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

A Convex Formulation for Learning from Crowds.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Statistical outlier detection using direct density ratio estimation.
Knowl. Inf. Syst., 2011

Tensor Factorization Using Auxiliary Information.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

A Subpath Kernel for Rooted Unordered Trees.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Statistical Performance of Convex Tensor Decomposition.
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.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Cross-Temporal Link Prediction.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Fast Newton-CG Method for Batch Learning of Conditional Random Fields.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Conic Programming for Multitask Learning.
IEEE Trans. Knowl. Data Eng., 2010

A Transfer Learning Approach and Selective Integration of Multiple Types of Assays for Biological Network Inference.
IJKDB, 2010

Least Absolute Policy Iteration--A Robust Approach to Value Function Approximation.
IEICE Transactions, 2010

Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel.
IEICE Transactions, 2010

Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism.
BMC Bioinformatics, 2010

Protein complex prediction via verifying and reconstructing the topology of domain-domain interactions.
BMC Bioinformatics, 2010

Parametric Return Density Estimation for Reinforcement Learning.
Proceedings of the UAI 2010, 2010

Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Nonparametric Return Distribution Approximation for Reinforcement Learning.
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.
Proceedings of the ICDM 2010, 2010

2009
Robust Label Propagation on Multiple Networks.
IEEE Trans. Neural Networks, 2009

Roughly balanced bagging for imbalanced data.
Statistical Analysis and Data Mining, 2009

Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation.
JIP, 2009

Recent Advances and Trends in Large-Scale Kernel Methods.
IEICE Transactions, 2009

Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach.
Bioinformatics, 2009

Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
Proceedings of the SIAM International Conference on Data Mining, 2009

On Pairwise Kernels: An Efficient Alternative and Generalization Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Least absolute policy iteration for robust value function approximation.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

A Linear-Time Graph Kernel.
Proceedings of the ICDM 2009, 2009

Side Effect Prediction Using Cooperative Pathways.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation.
Proceedings of the SIAM International Conference on Data Mining, 2008

Integration of Multiple Networks for Robust Label Propagation.
Proceedings of the SIAM International Conference on Data Mining, 2008

Roughly Balanced Bagging for Imbalanced Data.
Proceedings of the SIAM International Conference on Data Mining, 2008

Unsupervised Change Analysis Using Supervised Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

A new objective function for sequence labeling.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Regression with interval output values.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

K-means clustering of proportional data using L1 distance.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Inlier-Based Outlier Detection via Direct Density Ratio Estimation.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Training Conditional Random Fields Using Incomplete Annotations.
Proceedings of the COLING 2008, 2008

2007
Risk-Sensitive Learning via Minimization of Empirical Conditional Value-at-Risk.
IEICE Transactions, 2007

Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Multi-Task Learning via Conic Programming.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Risk-Sensitive Learning via Expected Shortfall Minimization.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Network-Based Problem Detection for Distributed Systems.
Proceedings of the 21st International Conference on Data Engineering, 2005

2004
Efficient filtering methods for clustering cDNAs with spliced sequence alignment.
Bioinformatics, 2004

Eigenspace-based anomaly detection in computer systems.
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.
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.
Proceedings of the Machine Learning, 2004

2003
Marginalized Kernels Between Labeled Graphs.
Proceedings of the Machine Learning, 2003

Mining Significant Pairs of Patterns from Graph Structures with Class Labels.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
Kernels for Semi-Structured Data.
Proceedings of the Machine Learning, 2002


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