vix.ing · top · new · best · stats · spec

Ichiro Takeuchi

  1. Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images
    2020/01/06 by Noriaki Hashimoto, Hashimoto, Noriaki, Daisuke Fukushima +17 · 5 citations
    Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #FOS: Electrical engineering #I.2.1 #I.5.4 #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  2. Computing Full Conformal Prediction Set with Approximate Homotopy
    2019/09/20 by Eugène Ndiaye, Ichiro Takeuchi, Ndiaye, Eugene +1 · 5 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Optimization and Control (math.OC) #Statistical Methods and Inference
  3. Multi-Objective Bayesian Optimization with Active Preference Learning
    2023/11/22 by Ryota Ozaki, Ozaki, Ryota, Kazuki Ishikawa +11 · 4 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Advanced Control Systems Optimization #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. Human-In-the-Loop for Bayesian Autonomous Materials Phase Mapping
    2023/06/17 by F. Adams, Austin McDannald, Adams, Felix +5 · 3 citations
    Chemical Engineering · Materials Science · #Catalysis and Oxidation Reactions #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
  5. Density-Difference Estimation
    2012/06/30 by Masashi Sugiyama, Sugiyama, Masashi, Takafumi Kanamori +9 · 1 citation
    Computer Science · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Target Tracking and Data Fusion in Sensor Networks
  6. A computational high-throughput search for new ternary superalloys
    2016/03/18 by Chandramouli Nyshadham, Corey Oses, Nyshadham, Chandramouli +9 · 1 citation
    Engineering · Materials Science · #FOS: Physical sciences #High Temperature Alloys and Creep #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Nuclear Materials and Properties
  7. Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
    2020/02/21 by Vo Nguyen Le Duy, Hiroki Toda, Duy, Vo Nguyen Le +5 · 2 citations
    Computer Science · Economics, Econometrics and Finance · Mathematics · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Sports Analytics and Performance #Statistical Methods and Inference
  8. Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty
    2019/10/26 by Shogo Iwazaki, I. Yu, Iwazaki, Shogo +3 · 1 citation
    Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  9. Causal analysis of competing atomistic mechanisms in ferroelectric\n materials from high-resolution Scanning Transmission Electron Microscopy data
    2020/02/11 by Maxim Ziatdinov, Ziatdinov, Maxim, Chris Nelson +13 · 1 citation
    Computer Science · Materials Science · #FOS: Physical sciences #Geochemistry and Geologic Mapping #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Multiferroics and related materials
  10. Suboptimal Solution Path Algorithm for Support Vector Machine
    2011/05/03 by Masayuki Karasuyama, Ichiro Takeuchi, Karasuyama, Masayuki +1 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
  11. Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
    2023/11/07 by Shion Takeno, I. Yu, Takeno, Shion +5 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  12. Mean-Variance Analysis in Bayesian Optimization under Uncertainty
    2020/09/17 by Shogo Iwazaki, Iwazaki, Shogo, I. Yu +3 · 1 citation
    Computer Science · Decision Sciences · #Gaussian Processes and Bayesian Inference #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms
  13. AFLOW-CHULL: Cloud-oriented platform for autonomous phase stability analysis
    2018/06/18 by Corey Oses, Oses, Corey, Eric Gossett +23 · 1 citation
    Chemistry · Materials Science · #FOS: Physical sciences #Inorganic Chemistry and Materials #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #X-ray Diffraction in Crystallography
  14. Statistical Inference for the Dynamic Time Warping Distance, with Application to Abnormal Time-Series Detection
    2022/02/14 by Vo Nguyen Le Duy, Ichiro Takeuchi, Duy, Vo Nguyen Le +1 · 1 citation
    Computer Science · #Advanced Text Analysis Techniques #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Time Series Analysis and Forecasting
  15. Materials, physics, and systems for multicaloric cooling
    2021/11/23 by Huilong Hou, Suxin Qian, Hou, Huilong +3 · 1 citation
    Materials Science · #Advanced Thermoelectric Materials and Devices #FOS: Physical sciences #Ferroelectric and Piezoelectric Materials #Materials Science (cond-mat.mtrl-sci) #Multiferroics and related materials
  16. Benchmarking Active Learning Strategies for Materials Optimization and Discovery
    2022/04/12 by Alex Wang, Haotong Liang, Wang, Alex +7 · 1 citation
    Engineering · Materials Science · #Advanced Materials Characterization Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #X-ray Diffraction in Crystallography
  17. Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications
    2023/06/22 by Hiroyuki Hanada, Hanada, Hiroyuki, Noriaki Hashimoto +5 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Machine Learning and ELM
  18. Self-driving laboratories in Japan
    2025/01/01 by Naruki Yoshikawa, Yuki Asano, Don N. Futaba +20 · 2 voices · 2 citations
    Decision Sciences · Computer Science · Psychology · #Personal Information Management and User Behavior #Online Learning and Analytics #Innovative Teaching and Learning Methods
  19. Reward driven workflows for unsupervised explainable analysis of phases and ferroic variants from atomically resolved imaging data
    2024/11/19 by Kamyar Barakati, Yu Liu, Barakati, Kamyar +11 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Engineering · Materials Science · #Advanced Electron Microscopy Techniques and Applications #Advanced Materials Characterization Techniques #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
  20. Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference
    2020/10/05 by Vo Nguyen Le Duy, Duy, Vo Nguyen Le, Shogo Iwazaki +3 · 1 citation
    Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Statistical Methods and Inference
  21. Selective Inference for Changepoint detection by Recurrent Neural Network
    2023/11/25 by Tomohiro Shiraishi, Shiraishi, Tomohiro, Daiki Miwa +5 · 1 citation
    Decision Sciences · Environmental Science · #Ecosystem dynamics and resilience #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  22. Tunable Structural Transmissive Color in Fano-Resonant Optical Coatings Employing Phase-Change Materials
    2023/02/07 by Yi‐Siou Huang, Huang, Yi-Siou, Chih‐Yu Lee +14 · 1 citation
    Engineering · Materials Science · #Nonlinear Optical Materials Studies #Phase-change materials and chalcogenides #Photochromic and Fluorescence Chemistry
  23. Real-time experiment-theory closed-loop interaction for autonomous materials science
    2024/10/22 by Haotong Liang, C Wang, Liang, Haotong +14 · 1 citation
    Materials Science · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Robotics (cs.RO)
  24. Valid P-Value for Deep Learning-Driven Salient Region
    2023/01/06 by Daiki Miwa, Miwa, Daiki, Vo Nguyen Le Duy +3 · 1 citation
    Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
  25. Superconducting phase diagram in BixNi1-x thin films\colon the effects of Bi stoichiometry on superconductivity
    2024/06/26 by Ji Hun Park, Park, Jihun, Jarryd A. Horn +23 · 1 citation
    Engineering · Materials Science · Physics and Astronomy · #FOS: Physical sciences #Magnetic Properties and Applications #Materials Science (cond-mat.mtrl-sci) #Physics of Superconductivity and Magnetism #Strongly Correlated Electrons (cond-mat.str-el) #Superconducting Materials and Applications #Superconductivity (cond-mat.supr-con)
  26. Microheater hotspot engineering for repeatable multi-level switching in foundry-processed phase change silicon photonics
    2024/06/15 by Hongyi Sun, Sun, Hongyi, Chuanyu Lian +20 · 1 citation
    Engineering · Materials Science · Physics and Astronomy · #Applied Physics (physics.app-ph) #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Optics (physics.optics) #Phase-change materials and chalcogenides #Photonic and Optical Devices #Semiconductor Quantum Structures and Devices
  27. Evolution of ferroelectric properties in SmxBi1-xFeO3 via automated Piezoresponse Force Microscopy across combinatorial spread libraries
    2024/05/14 by Aditya Raghavan, Rohit Pant, Raghavan, Aditya +15 · 1 citation
    Engineering · Materials Science · #Characterization and Applications of Magnetic Nanoparticles #FOS: Physical sciences #Ferroelectric and Piezoelectric Materials #Materials Science (cond-mat.mtrl-sci) #Multiferroics and related materials