Ichiro Takeuchi
Orcid: 0000-0002-1366-1946
According to our database1,
Ichiro Takeuchi
authored at least 131 papers
between 1996 and 2024.
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Bibliography
2024
Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries.
CoRR, 2024
Modification of DDIM Encoding for Generating Counterfactual Pathology Images of Malignant Lymphoma.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Efficient model selection for predictive pattern mining model by safe pattern pruning.
Patterns, December, 2023
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications.
Neural Comput., December, 2023
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning.
Medical Image Anal., April, 2023
Mach. Learn., January, 2023
IEEE Trans. Pattern Anal. Mach. Intell., 2023
Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Adaptive Defective Area Identification in Material Surface Using Active Transfer Learning-based Level Set Estimation.
CoRR, 2023
Distributionally Robust Multi-objective Bayesian Optimization under Uncertain Environments.
CoRR, 2023
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction.
IEEE Trans. Knowl. Data Eng., 2022
A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy.
Neural Comput., 2022
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming.
J. Mach. Learn. Res., 2022
Transformer-based Personalized Attention Mechanism (PersAM) for Medical Images with Clinical Records.
CoRR, 2022
CoRR, 2022
A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation.
CoRR, 2022
Exact Statistical Inference for Time Series Similarity using Dynamic Time Warping by Selective Inference.
CoRR, 2022
Subtype classification of malignant lymphoma using immunohistochemical staining pattern.
Int. J. Comput. Assist. Radiol. Surg., 2022
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Neural Comput., 2021
CoRR, 2021
Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning.
CoRR, 2021
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation.
CoRR, 2021
Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization.
Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Parametric Programming Approach for More Powerful and General Lasso Selective Inference.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Neural Comput., 2020
Neural Comput., 2020
Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation.
Neural Comput., 2020
More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach.
CoRR, 2020
Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union.
CoRR, 2020
Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference.
CoRR, 2020
Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs.
CoRR, 2020
Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images.
CoRR, 2020
IEEE Access, 2020
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
CoRR, 2019
Efficient learning algorithm for sparse subsequence pattern-based classification and applications to comparative animal trajectory data analysis.
Adv. Robotics, 2019
Comparative Sequential Pattern Mining of Human Trajectory Data Collected from a Campus-wide BLE Beacon System.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
2018
J. Chem. Inf. Model., 2018
Interval-based Prediction Uncertainty Bound Computation in Learning with Missing Values.
CoRR, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the Distributed, Ambient and Pervasive Interactions: Technologies and Contexts, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Mach. Learn., 2017
Stochastic Primal Dual Coordinate Method with Non-Uniform Sampling Based on Optimality Violations.
CoRR, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, 2017
2016
Efficiently Bounding Optimal Solutions after Small Data Modification in Large-Scale Empirical Risk Minimization.
CoRR, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization.
Proceedings of The 8th Asian Conference on Machine Learning, 2016
2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification Problems.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
2014
Quantitative analysis of time-course development of motion sickness caused by in-vehicle video watching.
Displays, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Development and Clinical Study of Mobile 12-Lead Electrocardiography Based on Cloud Computing for Cardiac Emergency.
Proceedings of the MEDINFO 2013, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Multi-parametric solution-path algorithm for instance-weighted support vector machines.
Mach. Learn., 2012
2011
IEEE Trans. Neural Networks, 2011
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
Proceedings of the 28th International Conference on Machine Learning, 2011
2010
IEEE Trans. Neural Networks, 2010
Multi-directional search from the primitive initial point for Gaussian mixture estimation using variational Bayes method.
Neural Networks, 2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Detecting differentially aberrant genomic regions in multi-sample array CGH experiments using nearest-neighbor multivariate test.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Efficient Leave-<i>m</i>-out Cross-Validation of Support Vector Regression by Generalizing Decremental Algorithm.
New Gener. Comput., 2009
Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression.
Neural Comput., 2009
J. Adv. Comput. Intell. Intell. Informatics, 2009
IPSJ Trans. Comput. Vis. Appl., 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
2008
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008
2006
Conditional mean estimation under asymmetric and heteroscedastic error by linear combination of quantile regressions.
Comput. Stat. Data Anal., 2006
The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator.
Proceedings of the International Joint Conference on Neural Networks, 2006
2003
A dynamical model for the vertical vestibuloocular reflex and optokinetic response in primate.
Neurocomputing, 2003
2002
Neural Comput., 2002
2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
2000
A description of dynamic behavior of sensory/motor systems with fuzzy symbolic dynamic systems.
Artif. Life Robotics, 2000
1998
A proposal of architecture for intelligent systems with manipulative grounded symbols.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998
1997
Acquisition of manipulative grounded symbols for integration of symbolic processing and stimulus-reaction type parallel processing.
Adv. Robotics, 1997
1996
Proceedings of the Simulated Evolution and Learning, First Asia-Pacific Conference, 1996