Naonori Ueda - RankMe

215 papers A* 36A 10B 9C 14Misc 5Journal 86Unranked 54

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Clinically informed intermediate reasoning enables generalizable prostate cancer prognostication through machine learning in limited settings. npj Digit. Medicine Jun Akatsuka, Kotaro Tsutsumi, Mami Takadate, Yasushi Numata, Hiromu Morikawa, Atsushi Marugame, Hayato Takeda, Yuki Endo, Yuka Toyama, Takayuki Takahashi, Kaori Ono, Junya Iwazaki, Ryuji Ohashi, Akira Shimizu, Tomoharu Kiyuna, Maki Ogura, Masao Ueki, Takuma Kato, Toshiyuki China, Mikio Sugimoto, Hisamitsu Ide, Naoto Sassa, Naonori Ueda, Shigeo Horie, Toyonori Tsuzuki, Go Kimura, Yukihiro Kondo, Yoichiro Yamamoto
2025	A	`conf`	Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations. AISTATS Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda
2025	J	`jnl`	Fast and Accurate Evacuation Planning Algorithm with Bayesian Optimization. ACM Trans. Intell. Syst. Technol. Junpei Tokunaga, Yuki Kikukawa, Hiroyuki Ebara, Naonori Ueda
2025	—	`conf`	Large-Scale Nonlinear Viscoelastic Simulation for Crustal Deformation Accelerated by Data-Driven Method and Multi-grid Solver. ICCS (Workshops 1) Sota Murakami, Kohei Fujita, Tsuyoshi Ichimura, Ryota Kaneko, Takane Hori, Muneo Hori, Maddegedara Lalith, Naonori Ueda
2025	—	`conf`	Route Search Algorithm for Predicting Traffic Congestion Based on Other Vehicles' Routes. ITSC Yafei Wang, Junpei Tokunaga, Hiroyuki Ebara, Naonori Ueda
2025	J	`jnl`	Searching Optimum Route With Variable Travel Time. IEEE Access Yamauchi Shuki, Junpei Tokunaga, Hiroyuki Ebara, Naonori Ueda
2024	J	`jnl`	Improving the Efficiency of Training Physics-Informed Neural Networks Using Active Learning. New Gener. Comput. Yuri Aikawa, Naonori Ueda, Toshiyuki Tanaka
2024	C	`conf`	MLP-Mixer based surrogate model for seismic ground motion with spatial source and geometry parameters. ACML Hirotaka Hachiya, Yuto Kuroki, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara
2024	J	`jnl`	Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs. CoRR Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda
2023	J	`jnl`	Centrality measure and visualization technique for multiple-parent nodes of earthquakes based on correlation-metric. Appl. Netw. Sci. Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda
2023	J	`jnl`	CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph. IEEE Trans. Signal Inf. Process. over Networks Kenta Niwa, Naonori Ueda, Hiroshi Sawada, Akinori Fujino, Shoichiro Takeda, Guoqiang Zhang, W. Bastiaan Kleijn
2023	—	`conf`	Development of 3D Viscoelastic Crustal Deformation Analysis Solver with Data-Driven Method on GPU. ICCS (2) Sota Murakami, Kohei Fujita, Tsuyoshi Ichimura, Takane Hori, Muneo Hori, Maddegedara Lalith, Naonori Ueda
2023	—	`conf`	Efficient Network Representation Learning via Cluster Similarity. DASFAA (3) Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Akisato Kimura, Naonori Ueda
2023	J	`jnl`	Efficient Network Representation Learning via Cluster Similarity. Data Sci. Eng. Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Akisato Kimura, Naonori Ueda
2023	J	`jnl`	Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs. CoRR Tomoharu Iwata, Yusuke Tanaka, Naonori Ueda
2023	C	`conf`	Moving Object Detection by Low-Rank Analysis of Region-Based Correlated Motion Fields. IGARSS Bahareh Kalantar, Naonori Ueda, Mohsen Zand, Husam Abdulrasool H. Al-Najjar
2022	C	`conf`	152K-computer-node parallel scalable implicit solver for dynamic nonlinear earthquake simulation. HPC Asia Tsuyoshi Ichimura, Kohei Fujita, Kentaro Koyama, Ryota Kusakabe, Yuma Kikuchi, Takane Hori, Muneo Hori, Lalith Maddegedara, Noriyuki Ohi, Tatsuo Nishiki, Hikaru Inoue, Kazuo Minami, Seiya Nishizawa, Miwako Tsuji, Naonori Ueda
2022	C	`conf`	A Deep Learning Approach for Automated Building Outlines Extraction in Compact Urban Environments. IGARSS Bahareh Kalantar, Ojogbane Success Sani, Seyd Teymoor Seydi, Alfian Abdul Halin, Shattri Mansor, Naonori Ueda
2022	J	`jnl`	BDD-Net: An End-to-End Multiscale Residual CNN for Earthquake-Induced Building Damage Detection. Remote. Sens. Seyd Teymoor Seydi, Heidar Rastiveis, Bahareh Kalantar, Alfian Abdul Halin, Naonori Ueda
2022	C	`conf`	Deep Ensemble Learning for Land Cover Classification Based on Hyperspectral Prisma Image. IGARSS Bahareh Kalantar, Seyd Teymoor Seydi, Naonori Ueda, Vahideh Saeidi, Alfian Abdul Halin, Farzin Shabani
2022	—	`conf`	District Characteristics Analysis with Regional Garbage Amount Estimation Using Vehicle- Mounted Motion Sensors. ISC2 Yasue Kishino, Yoshinari Shirai, Koh Takeuchi, Shin Mizutani, Takayuki Suyama, Futoshi Naya, Naonori Ueda
2022	J	`jnl`	Earthquake-Induced Ground Deformation Assessment via Sentinel-1 Radar Aided at Darbandikhan Town. J. Sensors Farman Galeb Saed, Abbas Mohammed Noori, Bahareh Kalantar, Waleed Mohammed Qader, Naonori Ueda
2022	J	`jnl`	Excess risk analysis for epistemic uncertainty with application to variational inference. CoRR Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
2022	B	`conf`	Fast Binary Network Hashing via Graph Clustering. IEEE Big Data Yasuhiro Fujiwara, Masahiro Nakano, Atsutoshi Kumagai, Yasutoshi Ida, Akisato Kimura, Naonori Ueda
2022	J	`jnl`	Fire-Net: A Deep Learning Framework for Active Forest Fire Detection. J. Sensors Seyd Teymoor Seydi, Vahideh Saeidi, Bahareh Kalantar, Naonori Ueda, Alfian Abdul Halin
2022	J	`jnl`	Fusion of the Multisource Datasets for Flood Extent Mapping Based on Ensemble Convolutional Neural Network (CNN) Model. J. Sensors Seyd Teymoor Seydi, Vahideh Saeidi, Bahareh Kalantar, Naonori Ueda, John L. van Genderen, Fattah Hatami Maskouni, Farzad Amini Aria
2022	A	`conf`	Nonparametric Relational Models with Superrectangulation. AISTATS Masahiro Nakano, Ryo Nishikimi, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda
2022	C	`conf`	Position-dependent partial convolutions for supervised spatial interpolation. ACML Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara
2022	A	`conf`	Predictive variational Bayesian inference as risk-seeking optimization. AISTATS Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
2022	—	`conf`	Scalable Finite-Element Viscoelastic Crustal Deformation Analysis Accelerated with Data-Driven Method. ScalAH@SC Kohei Fujita, Sota Murakami, Tsuyoshi Ichimura, Takane Hori, Muneo Hori, Maddegedara Lalith, Naonori Ueda
2022	A*	`conf`	Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data. NeurIPS Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda
2022	J	`jnl`	Unboxing the Black Box of Attention Mechanisms in Remote Sensing Big Data Using XAI. Remote. Sens. Erfan Hasanpour Zaryabi, Loghman Moradi, Bahareh Kalantar, Naonori Ueda, Alfian Abdul Halin
2021	J	`jnl`	Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices. Entropy Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato
2021	J	`jnl`	Application of an Ensemble Statistical Approach in Spatial Predictions of Bushfire Probability and Risk Mapping. J. Sensors Mahyat Shafapour Tehrany, Haluk Özener, Bahareh Kalantar, Naonori Ueda, Mohammad Reza Habibi, Fariborz Shabani, Vahideh Saeidi, Farzin Shabani
2021	J	`jnl`	Automated Building Detection from Airborne LiDAR and Very High-Resolution Aerial Imagery with Deep Neural Network. Remote. Sens. Ojogbane Success Sani, Shattri Mansor, Bahareh Kalantar, Zailani Khuzaimah, Helmi Zulhaidi Mohd Shafri, Naonori Ueda
2021	C	`conf`	Bayesian nonparametric model for arbitrary cubic partitioning. ACML Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda
2021	—	`conf`	Constructing Weighted Networks of Earthquakes with Multiple-parent Nodes Based on Correlation-Metric. COMPLEX NETWORKS Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda
2021	J	`jnl`	Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia. Remote. Sens. Bahareh Kalantar, Naonori Ueda, Vahideh Saeidi, Saeid Janizadeh, Fariborz Shabani, Kourosh Ahmadi, Farzin Shabani
2021	C	`conf`	Encoder-decoder-based image transformation approach for integrating precipitation forecasts. ACML Hirotaka Hachiya, Yusuke Masumoto, Yuki Mori, Naonori Ueda
2021	J	`jnl`	Fast Algorithm for Anchor Graph Hashing. Proc. VLDB Endow. Yasuhiro Fujiwara, Sekitoshi Kanai, Yasutoshi Ida, Atsutoshi Kumagai, Naonori Ueda
2021	A*	`conf`	Fast Similarity Computation for t-SNE. ICDE Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Naonori Ueda
2021	A	`conf`	Fast and Accurate Anchor Graph-based Label Prediction. CIKM Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Sekitoshi Kanai, Naonori Ueda
2021	—	`conf`	Fast scalable implicit solver with convergence of equation-based modeling and data-driven learning: earthquake city simulation on low-order unstructured finite element. PASC Tsuyoshi Ichimura, Kohei Fujita, Kentaro Koyama, Yuma Kikuchi, Ryota Kusakabe, Kazuo Minami, Hikaru Inoue, Seiya Nishizawa, Miwako Tsuji, Tatsuo Nishiki, Muneo Hori, Lalith Maddegedara, Naonori Ueda
2021	—	`conf`	GPU Porting of Scalable Implicit Solver with Green's Function-Based Neural Networks by OpenACC. WACCPD@SC Kohei Fujita, Yuma Kikuchi, Tsuyoshi Ichimura, Muneo Hori, Lalith Maddegedara, Naonori Ueda
2021	J	`jnl`	Geospatial Multicriteria Analysis for Earthquake Risk Assessment: Case Study of Fujairah City in the UAE. J. Sensors Diena Al Dogom, Rami Al-Ruzouq, Bahareh Kalantar, Karen Schuckman, Saeed Al-Mansoori, Sunanda Mukherjee, Hussain Al-Ahmad, Naonori Ueda
2021	A*	`conf`	Loss function based second-order Jensen inequality and its application to particle variational inference. NeurIPS Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
2021	J	`jnl`	Loss function based second-order Jensen inequality and its application to particle variational inference. CoRR Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
2021	—	`conf`	Magnitude-Weighted Mean-Shift Clustering with Leave-One-Out Bandwidth Estimation. PRICAI (1) Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda
2021	A*	`conf`	Permuton-induced Chinese Restaurant Process. NeurIPS Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda
2021	C	`conf`	Skew-symmetrically perturbed gradient flow for convex optimization. ACML Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane
2021	J	`jnl`	Spatio-temporal clustering of earthquakes based on distribution of magnitudes. Appl. Netw. Sci. Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda
2021	C	`conf`	The Effect of War on Land Use Dynamics in Mosul Iraq Using Remote Sensing and GIS Techniques. IGARSS Huda Jamal Jumaah, Bahareh Kalantar, Naonori Ueda, Ojogbane Success Sani, Qayssar Mahmood Ajaj, Sarah Jamal Jumaah
2021	J	`jnl`	Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations. Artif. Intell. Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda, Toshiyuki Tanaka
2020	—	`conf`	A Fast Scalable Iterative Implicit Solver with Green's function-based Neural Networks. ScalA@SC Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori, Lalith Maddegedara, Naonori Ueda, Yuma Kikuchi
2020	J	`jnl`	Anomaly detection with inexact labels. Mach. Learn. Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda
2020	J	`jnl`	Assessment of Convolutional Neural Network Architectures for Earthquake-Induced Building Damage Detection based on Pre- and Post-Event Orthophoto Images. Remote. Sens. Bahareh Kalantar, Naonori Ueda, Husam Abdulrasool H. Al-Najjar, Alfian Abdul Halin
2020	A*	`conf`	Baxter Permutation Process. NeurIPS Masahiro Nakano, Akisato Kimura, Takeshi Yamada, Naonori Ueda
2020	J	`jnl`	Comparison of Machine Learning Methods for Mapping the Stand Characteristics of Temperate Forests Using Multi-Spectral Sentinel-2 Data. Remote. Sens. Kourosh Ahmadi, Bahareh Kalantar, Vahideh Saeidi, Elaheh K. G. Harandi, Saeid Janizadeh, Naonori Ueda
2020	—	`conf`	Data-Driven Approach to Inversion Analysis of Three-Dimensional Inner Soil Structure via Wave Propagation Analysis. ICCS (3) Takuma Yamaguchi, Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori, Lalith Wijerathne, Naonori Ueda
2020	A*	`conf`	Efficient Algorithm for the b-Matching Graph. KDD Yasuhiro Fujiwara, Atsutoshi Kumagai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda
2020	—	`conf`	Fast Multi-Step Optimization with Deep Learning for Data-Centric Supercomputing. HP3C Tsuyoshi Ichimura, Kohei Fujita, Takuma Yamaguchi, Muneo Hori, Lalith Wijerathne, Naonori Ueda
2020	J	`jnl`	Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data. Remote. Sens. Bahareh Kalantar, Naonori Ueda, Mohammed Oludare Idrees, Saeid Janizadeh, Kourosh Ahmadi, Farzin Shabani
2020	J	`jnl`	Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data. Remote. Sens. Bahareh Kalantar, Naonori Ueda, Vahideh Saeidi, Kourosh Ahmadi, Alfian Abdul Halin, Farzin Shabani
2020	—	`conf`	Low-Order Finite Element Solver with Small Matrix-Matrix Multiplication Accelerated by AI-Specific Hardware for Crustal Deformation Computation. PASC Takuma Yamaguchi, Kohei Fujita, Tsuyoshi Ichimura, Akira Naruse, Jack C. Wells, Christopher Zimmer, Tjerk P. Straatsma, Muneo Hori, Lalith Maddegedara, Naonori Ueda
2020	J	`jnl`	Mapping Heterogeneous Urban Landscapes from the Fusion of Digital Surface Model and Unmanned Aerial Vehicle-Based Images Using Adaptive Multiscale Image Segmentation and Classification. Remote. Sens. Mohamed Barakat A. Gibril, Bahareh Kalantar, Rami Al-Ruzouq, Naonori Ueda, Vahideh Saeidi, Abdallah Shanableh, Shattri Mansor, Helmi Z. M. Shafri
2020	A*	`conf`	Semi-Supervised Learning for Maximizing the Partial AUC. AAAI Tomoharu Iwata, Akinori Fujino, Naonori Ueda
2020	—	`conf`	Spatio-Temporal Clustering of Earthquakes Based on Average Magnitudes. COMPLEX NETWORKS (1) Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda
2020	J	`jnl`	Translation Between Waves, wave2wave. CoRR Tsuyoshi Okita, Hirotaka Hachiya, Sozo Inoue, Naonori Ueda
2019	C	`conf`	Adaptive truncated residual regression for fine-grained regression problems. ACML Hirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara, Naonori Ueda
2019	J	`jnl`	Anomaly Detection with Inexact Labels. CoRR Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda
2019	—	`conf`	Bayesian Optimization for Crowd Traffic Control Using Multi-Agent Simulation. ITSC Takuma Otsuka, Hitoshi Shimizu, Tomoharu Iwata, Futoshi Naya, Hiroshi Sawada, Naonori Ueda
2019	C	`conf`	Conditioning Factors Determination for Landslide Susceptibility Mapping Using Support Vector Machine Learning. IGARSS Bahareh Kalantar, Naonori Ueda, Usman Salihu Lay, Husam Abdulrasool H. Al-Najjar, Alfian Abdul Halin
2019	A*	`conf`	Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. KDD Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda
2019	J	`jnl`	Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. CoRR Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda
2019	A*	`conf`	Efficient Data Point Pruning for One-Class SVM. AAAI Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda
2019	A	`conf`	Fast Random Forest Algorithm via Incremental Upper Bound. CIKM Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Junya Arai, Naonori Ueda
2019	A*	`conf`	Fully Neural Network based Model for General Temporal Point Processes. NeurIPS Takahiro Omi, Naonori Ueda, Kazuyuki Aihara
2019	J	`jnl`	Fully Neural Network based Model for General Temporal Point Processes. CoRR Takahiro Omi, Naonori Ueda, Kazuyuki Aihara
2019	J	`jnl`	Land Cover Classification from fused DSM and UAV Images Using Convolutional Neural Networks. Remote. Sens. Husam Abdulrasool H. Al-Najjar, Bahareh Kalantar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda, Shattri Mansor
2018	—	`conf`	Accelerating Urban Science by Crowdsensing with Civil Officers. UbiComp/ISWC Adjunct Takuro Yonezawa, Koh Takeuchi, Tomotaka Ito, Mina Sakamura, Yasue Kishino, Futoshi Naya, Naonori Ueda, Jin Nakazawa
2018	—	`conf`	Adaptive Data Pruning for Support Vector Machines. IEEE BigData Yasuhiro Fujiwara, Junya Arai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda
2018	A*	`conf`	Estimating Latent People Flow without Tracking Individuals. IJCAI Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda
2018	A	`conf`	Few-shot learning of neural networks from scratch by pseudo example optimization. BMVC Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda
2018	J	`jnl`	Finding Appropriate Traffic Regulations via Graph Convolutional Networks. CoRR Tomoharu Iwata, Takuma Otsuka, Hitoshi Shimizu, Hiroshi Sawada, Futoshi Naya, Naonori Ueda
2018	J	`jnl`	Imitation networks: Few-shot learning of neural networks from scratch. CoRR Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda
2018	B	`conf`	Improving Route Traffic Estimation by Considering Staying Population. PRIMA Hitoshi Shimizu, Tatsushi Matsubayashi, Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda, Hiroshi Sawada
2018	J	`jnl`	Partial AUC Maximization via Nonlinear Scoring Functions. CoRR Naonori Ueda, Akinori Fujino
2018	—	`conf`	Regional Garbage Amount Estimation and Analysis Using Car-Mounted Motion Sensors. UbiComp/ISWC Adjunct Yasue Kishino, Yoshinari Shirai, Koh Takeuchi, Takayuki Suyama, Futoshi Naya, Naonori Ueda
2018	—	`conf`	Scaling Bayesian Optimization up to Higher Dimensions: a Review and Comparison of Recent Algorithms. MLSP Benoît Choffin, Naonori Ueda
2018	J	`jnl`	Topic Models for Unsupervised Cluster Matching. IEEE Trans. Knowl. Data Eng. Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda
2018	J	`jnl`	Unsupervised Object Matching for Relational Data. CoRR Tomoharu Iwata, Naonori Ueda
2017	—	`ed.`	27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017, Tokyo, Japan, September 25-28, 2017 MLSP Naonori Ueda, Shinji Watanabe, Tomoko Matsui, Jen-Tzung Chien, Jan Larsen
2017	A*	`conf`	Autoregressive Tensor Factorization for Spatio-Temporal Predictions. ICDM Koh Takeuchi, Hisashi Kashima, Naonori Ueda
2017	J	`jnl`	Averaged Collapsed Variational Bayes Inference. J. Mach. Learn. Res. Katsuhiko Ishiguro, Issei Sato, Naonori Ueda
2017	—	`conf`	Datafying city: Detecting and accumulating spatio-temporal events by vehicle-mounted sensors. IEEE BigData Yasue Kishino, Koh Takeuchi, Yoshinari Shirai, Futoshi Naya, Naonori Ueda
2017	J	`jnl`	Estimating People Flow from Spatiotemporal Population Data via Collective Graphical Mixture Models. ACM Trans. Spatial Algorithms Syst. Tomoharu Iwata, Hitoshi Shimizu, Futoshi Naya, Naonori Ueda
2017	—	`conf`	Multi-output Polynomial Networks and Factorization Machines. NIPS Mathieu Blondel, Vlad Niculae, Takuma Otsuka, Naonori Ueda
2017	J	`jnl`	Multi-output Polynomial Networks and Factorization Machines. CoRR Mathieu Blondel, Vlad Niculae, Takuma Otsuka, Naonori Ueda
2017	A*	`conf`	Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes. AAAI Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda
2017	A*	`conf`	SVD-Based Screening for the Graphical Lasso. IJCAI Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda
2017	—	`conf`	Scaling Locally Linear Embedding. SIGMOD Conference Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda
2017	—	`conf`	Single-Epoch Supernova Classification with Deep Convolutional Neural Networks. ICDCS Workshops Akisato Kimura, Ichiro Takahashi, Masaomi Tanaka, Naoki Yasuda, Naonori Ueda, Naoki Yoshida
2017	J	`jnl`	Single-epoch supernova classification with deep convolutional neural networks. CoRR Akisato Kimura, Ichiro Takahashi, Masaomi Tanaka, Naoki Yasuda, Naonori Ueda, Naoki Yoshida
2016	A*	`conf`	A Semi-Supervised AUC Optimization Method with Generative Models. ICDM Akinori Fujino, Naonori Ueda
2016	—	`conf`	Graph regularized Non-negative Tensor Completion for spatio-temporal data analysis. IWSC@Middleware Koh Takeuchi, Naonori Ueda
2016	—	`conf`	Higher-Order Factorization Machines. NIPS Mathieu Blondel, Akinori Fujino, Naonori Ueda, Masakazu Ishihata
2016	J	`jnl`	Higher-Order Factorization Machines. CoRR Mathieu Blondel, Akinori Fujino, Naonori Ueda, Masakazu Ishihata
2016	A*	`conf`	Infinite Plaid Models for Infinite Bi-Clustering. AAAI Katsuhiko Ishiguro, Issei Sato, Masahiro Nakano, Akisato Kimura, Naonori Ueda
2016	C	`conf`	Mobile Activity Recognition through Training Labels with Inaccurate Activity Segments. MobiQuitous Takamichi Toda, Sozo Inoue, Naonori Ueda
2016	A*	`conf`	Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms. ICML Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda
2016	J	`jnl`	Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms. CoRR Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda
2016	J	`jnl`	Probabilistic latent variable models for unsupervised many-to-many object matching. Inf. Process. Manag. Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda
2016	J	`jnl`	Recognizing and Understanding Nursing Activities for a Whole Day with a Big Dataset. J. Inf. Process. Sozo Inoue, Naonori Ueda, Yasunobu Nohara, Naoki Nakashima
2015	—	`conf`	Convex Factorization Machines. ECML/PKDD (2) Mathieu Blondel, Akinori Fujino, Naonori Ueda
2015	Misc	`conf`	Mobile activity recognition for a whole day: recognizing real nursing activities with big dataset. UbiComp Sozo Inoue, Naonori Ueda, Yasunobu Nohara, Naoki Nakashima
2015	A*	`conf`	Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. KDD Yukino Baba, Hisashi Kashima, Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam Maruf, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima
2015	—	`conf`	Real-time and proactive navigation via spatio-temporal prediction. UbiComp/ISWC Adjunct Naonori Ueda, Futoshi Naya, Hitoshi Shimizu, Tomoharu Iwata, Maya Okawa, Hiroshi Sawada
2015	—	`conf`	SmartCities'15: international workshop on smart cities: people, technology and data. UbiComp/ISWC Adjunct Morito Matsuoka, Naonori Ueda, Hideyuki Tokuda, Rodger Lea, Luis Muñoz
2014	J	`jnl`	Collapsed Variational Bayes Inference of Infinite Relational Model. CoRR Katsuhiko Ishiguro, Issei Sato, Naonori Ueda
2014	A*	`conf`	Fast and Exact Monitoring of Co-Evolving Data Streams. ICDM Yasuko Matsubara, Yasushi Sakurai, Naonori Ueda, Masatoshi Yoshikawa
2014	B	`conf`	Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex. ICPR Mathieu Blondel, Akinori Fujino, Naonori Ueda
2014	A	`conf`	Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion. AISTATS Mathieu Blondel, Yotaro Kubo, Naonori Ueda
2014	A*	`conf`	Rectangular Tiling Process. ICML Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada, Naonori Ueda
2014	—	`conf`	Training human activity recognition for labels with inaccurate time stamps. UbiComp Adjunct Takamichi Toda, Naonori Ueda, Sozo Inoue, Shota Tanaka
2013	J	`jnl`	Adaptive semi-supervised learning on labeled and unlabeled data with different distributions. Knowl. Inf. Syst. Akinori Fujino, Naonori Ueda, Masaaki Nagata
2013	J	`jnl`	Large-Scale Personalized Human Activity Recognition Using Online Multitask Learning. IEEE Trans. Knowl. Data Eng. Xu Sun, Hisashi Kashima, Naonori Ueda
2013	J	`jnl`	Modeling Noisy Annotated Data with Application to Social Annotation. IEEE Trans. Knowl. Data Eng. Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
2013	J	`jnl`	Multichannel Extensions of Non-Negative Matrix Factorization With Complex-Valued Data. IEEE Trans. Speech Audio Process. Hiroshi Sawada, Hirokazu Kameoka, Shoko Araki, Naonori Ueda
2013	A*	`conf`	Unsupervised Cluster Matching via Probabilistic Latent Variable Models. AAAI Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda
2012	A*	`conf`	Bayesian relational data analysis. KDD Naonori Ueda
2012	Misc	`conf`	Efficient algorithms for multichannel extensions of Itakura-Saito nonnegative matrix factorization. ICASSP Hiroshi Sawada, Hirokazu Kameoka, Shoko Araki, Naonori Ueda
2012	J	`jnl`	Importance-weighted least-squares probabilistic classifier for covariate shift adaptation with application to human activity recognition. Neurocomputing Hirotaka Hachiya, Masashi Sugiyama, Naonori Ueda
2012	J	`jnl`	Sequential Modeling of Topic Dynamics with Multiple Timescales. ACM Trans. Knowl. Discov. Data Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda
2012	A	`conf`	Subset Infinite Relational Models. AISTATS Katsuhiko Ishiguro, Naonori Ueda, Hiroshi Sawada
2011	A*	`conf`	A New Multi-task Learning Method for Personalized Activity Recognition. ICDM Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li
2011	A*	`conf`	Fast approximate similarity search based on degree-reduced neighborhood graphs. KDD Kazuo Aoyama, Kazumi Saito, Hiroshi Sawada, Naonori Ueda
2011	Misc	`conf`	Formulations and algorithms for multichannel complex NMF. ICASSP Hiroshi Sawada, Hirokazu Kameoka, Shoko Araki, Naonori Ueda
2011	J	`jnl`	Improving Classifier Performance Using Data with Different Taxonomies. IEEE Trans. Knowl. Data Eng. Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Yamada, Naonori Ueda
2011	—	`conf`	Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training. PAKDD (2) Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda
2011	—	`conf`	New formulations and efficient algorithms for multichannel NMF. WASPAA Hiroshi Sawada, Hirokazu Kameoka, Shoko Araki, Naonori Ueda
2011	J	`jnl`	RAST: finding related documents based on triplet similarity. Neural Comput. Appl. Shiro Usui, Nilton Liuji Kamiji, Tatsuki Taniguchi, Naonori Ueda
2010	A	`conf`	A robust semi-supervised classification method for transfer learning. CIKM Akinori Fujino, Naonori Ueda, Masaaki Nagata
2010	A*	`conf`	Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method. ICDM Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori Ueda
2010	—	`conf`	Dynamic Infinite Relational Model for Time-varying Relational Data Analysis. NIPS Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda, Joshua B. Tenenbaum
2010	Misc	`conf`	Fast similarity search on a large speech data set with neighborhood graph indexing. ICASSP Kazuo Aoyama, Shinji Watanabe, Hiroshi Sawada, Yasuhiro Minami, Naonori Ueda, Kazumi Saito
2010	A*	`conf`	Online multiscale dynamic topic models. KDD Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda
2009	—	`conf`	Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling. ACL/IJCNLP Daichi Mochihashi, Takeshi Yamada, Naonori Ueda
2009	—	`conf`	Fast Similarity Search in Small-World Networks. CompleNet Kazuo Aoyama, Kazumi Saito, Takeshi Yamada, Naonori Ueda
2009	—	`conf`	Modeling Social Annotation Data with Content Relevance using a Topic Model. NIPS Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
2009	—	`conf`	RAST: A Related Abstract Search Tool. ICONIP (2) Shiro Usui, Nilton Liuji Kamiji, Tatsuki Taniguchi, Naonori Ueda
2009	A*	`conf`	Topic Tracking Model for Analyzing Consumer Purchase Behavior. IJCAI Tomoharu Iwata, Shinji Watanabe, Takeshi Yamada, Naonori Ueda
2008	A*	`conf`	Probabilistic latent semantic visualization: topic model for visualizing documents. KDD Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
2008	J	`jnl`	Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle. IEEE Trans. Pattern Anal. Mach. Intell. Akinori Fujino, Naonori Ueda, Kazumi Saito
2008	A*	`conf`	Simultaneous clustering and tracking unknown number of objects. CVPR Katsuhiko Ishiguro, Takeshi Yamada, Naonori Ueda
2007	B	`conf`	3D-SE Viewer: A Text Mining Tool based on Bipartite Graph Visualization. IJCNN Shiro Usui, Antoine Naud, Naonori Ueda, Tatsuki Taniguchi
2007	J	`jnl`	A hybrid generative/discriminative approach to text classification with additional information. Inf. Process. Manag. Akinori Fujino, Naonori Ueda, Kazumi Saito
2007	J	`jnl`	Keyword extraction, ranking, and organization for the neuroinformatics platform. Biosyst. Shiro Usui, Paulito P. Palmes, Kazunori Nagata, Tatsuki Taniguchi, Naonori Ueda
2007	C	`conf`	One-shot Collaborative Filtering. CIDM Shuhei Kuwata, Naonori Ueda
2007	J	`jnl`	Parametric Embedding for Class Visualization. Neural Comput. Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum
2007	—	`conf`	Pivot Learning for Efficient Similarity Search. KES (3) Manabu Kimura, Kazumi Saito, Naonori Ueda
2007	A*	`conf`	Semi-Supervised Learning for Multi-Component Data Classification. IJCAI Akinori Fujino, Naonori Ueda, Kazumi Saito
2007	J	`jnl`	Visualization of documents and concepts in neuroinformatics with the 3D-SE viewer. Frontiers Neuroinformatics Antoine Naud, Shiro Usui, Naonori Ueda, Tatsuki Taniguchi
2006	B	`conf`	Extracting Keywords from Research Abstracts for the Neuroinformatics Platform Index Tree. IJCNN Shiro Usui, Paulito P. Palmes, Kazunori Nagata, Tatsuki Taniguchi, Naonori Ueda
2006	A*	`conf`	Learning Systems of Concepts with an Infinite Relational Model. AAAI Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griffiths, Takeshi Yamada, Naonori Ueda
2006	J	`jnl`	Parametric mixture model for multitopic text. Syst. Comput. Jpn. Naonori Ueda, Kazumi Saito
2006	B	`conf`	Visual nonlinear discriminant analysis for classifier design. ESANN Tomoharu Iwata, Kazumi Saito, Naonori Ueda
2005	—	`conf`	A Classifier Design Based on Combining Multiple Components by Maximum Entropy Principle. AIRS Akinori Fujino, Naonori Ueda, Kazumi Saito
2005	A*	`conf`	A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design. AAAI Akinori Fujino, Naonori Ueda, Kazumi Saito
2005	B	`conf`	Multinomial PCA for extracting major latent topics from document streams. IJCNN Masahiro Kimura, Kazumi Saito, Naonori Ueda
2005	Misc	`conf`	Retrieving lightly annotated images using image similarities. SAC Masashi Inoue, Naonori Ueda
2005	J	`jnl`	Selection of Shared-State Hidden Markov Model Structure Using Bayesian Criterion. IEICE Trans. Inf. Syst. Shinji Watanabe, Yasuhiro Minami, Atsushi Nakamura, Naonori Ueda
2004	—	`conf`	Document Clustering at NTCIR-4 Workshop: Limiting Search Space of the NTCIR Yuji Kaneda, Naonori Ueda, Kazumi Saito
2004	B	`conf`	Extended Parametric Mixture Model for Robust Multi-labeled Text Categorization. KES Yuji Kaneda, Naonori Ueda, Kazumi Saito
2004	J	`jnl`	Extended Tied-Mixture HMMs for Both Labeled and Unlabeled Time Series Data. J. VLSI Signal Process. Naonori Ueda, Masashi Inoue
2004	J	`jnl`	Modeling network growth with directional attachment and communities. Syst. Comput. Jpn. Masahiro Kimura, Kazumi Saito, Naonori Ueda
2004	J	`jnl`	Modeling of growing networks with directional attachment and communities. Neural Networks Masahiro Kimura, Kazumi Saito, Naonori Ueda
2004	—	`conf`	Parametric Embedding for Class Visualization. NIPS Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum
2004	J	`jnl`	Variational bayesian estimation and clustering for speech recognition. IEEE Trans. Speech Audio Process. Shinji Watanabe, Yasuhiro Minami, Atsushi Nakamura, Naonori Ueda
2003	J	`jnl`	Adaptive clustering using modular learning architecture. Syst. Comput. Jpn. Satoshi Suzuki, Naonori Ueda
2003	—	`conf`	Application of variational Bayesian estimation and clustering to acoustic model adaptation. ICASSP (1) Shinji Watanabe, Yasuhiro Minami, Atsushi Nakamura, Naonori Ueda
2003	A*	`conf`	Cross-Entropy Directed Embedding of Network Data. ICML Takeshi Yamada, Kazumi Saito, Naonori Ueda
2003	J	`jnl`	Exploitation of Unlabeled Sequences in Hidden Markov Models. IEEE Trans. Pattern Anal. Mach. Intell. Masashi Inoue, Naonori Ueda
2003	B	`conf`	Modeling of growing networks with directional attachment and communities. ESANN Masahiro Kimura, Kazumi Saito, Naonori Ueda
2003	J	`jnl`	Use of unlabeled time series data in hidden Markov models. Syst. Comput. Jpn. Masashi Inoue, Naonori Ueda
2002	—	`conf`	Application of Variational Bayesian Approach to Speech Recognition. NIPS Shinji Watanabe, Yasuhiro Minami, Atsushi Nakamura, Naonori Ueda
2002	J	`jnl`	Bayesian model search for mixture models based on optimizing variational bounds. Neural Networks Naonori Ueda, Zoubin Ghahramani
2002	A	`conf`	Constructing shared-state hidden Markov models based on a Bayesian approach. INTERSPEECH Shinji Watanabe, Yasuhiro Minami, Atsushi Nakamura, Naonori Ueda
2002	—	`conf`	Modeling of growing networks with communities. NNSP Masahiro Kimura, Kazumi Saito, Naonori Ueda
2002	—	`conf`	Parametric Mixture Models for Multi-Labeled Text. NIPS Naonori Ueda, Kazumi Saito
2002	A*	`conf`	Single-shot detection of multiple categories of text using parametric mixture models. KDD Naonori Ueda, Kazumi Saito
2000	J	`jnl`	EM algorithm with split and merge operations for mixture models. Syst. Comput. Jpn. Naonori Ueda, Ryohei Nakano
2000	—	`conf`	Law discovery from financial data using neural networks. CIFEr Kazumi Saito, Naonori Ueda, Shigeru Katagiri, Yutaka Fukai, Hiroshi Fujimaru, Masayuki Fujinawa
2000	J	`jnl`	Optimal Linear Combination of Neural Networks for Improving Classification Performance. IEEE Trans. Pattern Anal. Mach. Intell. Naonori Ueda
2000	J	`jnl`	Optimal linear combination of neural network classifiers based on the minimum classification error criterion. Syst. Comput. Jpn. Naonori Ueda
2000	J	`jnl`	SMEM Algorithm for Mixture Models. Neural Comput. Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
2000	J	`jnl`	Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates. J. VLSI Signal Process. Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
1998	J	`jnl`	Deterministic annealing EM algorithm. Neural Networks Naonori Ueda, Ryohei Nakano
1998	—	`conf`	SMEM Algorithm for Mixture Models. NIPS Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
1997	—	`conf`	Self-Organization of Feature Columns and its Application to Object Classification. ICONIP (2) Satoshi Suzuki, Naonori Ueda
1996	—	`conf`	Generalization error of ensemble estimators. ICNN Naonori Ueda, Ryohei Nakano
1995	J	`jnl`	Competitive and selective learning method for vector quantizer design - Equidistortion principle and its algorithm. Syst. Comput. Jpn. Naonori Ueda, Ryohei Nakano
1995	—	`conf`	Estimating expected error rates of neural network classifiers in small sample size situations: a comparison of cross-validation and bootstrap. ICNN Naonori Ueda, Ryohei Nakano
1995	—	`conf`	Parrot-like speaking using optimal vector quantization. ICNN Ryohei Nakano, Naonori Ueda, Kazumi Saito, Takeshi Yamada
1995	J	`jnl`	Tracking Moving Contours Using Energy-Minimizing Elastic Contour Models. Int. J. Pattern Recognit. Artif. Intell. Naonori Ueda, Kenji Mase
1994	J	`jnl`	A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers. Neural Networks Naonori Ueda, Ryohei Nakano
1994	—	`conf`	Deterministic Annealing Variant of the EM Algorithm. NIPS Naonori Ueda, Ryohei Nakano
1993	—	`conf`	A competitive and selective learning method for designing optimal vector quantizers. ICNN Naonori Ueda, Ryohei Nakano
1993	J	`jnl`	A contour tracking method using an elastic contour model and an energy-minimization approach. Syst. Comput. Jpn. Naonori Ueda, Kenji Mase, Yasuhito Suenaga
1993	J	`jnl`	Graph-Based Thinning for Binary Images. Int. J. Pattern Recognit. Artif. Intell. Satoshi Suzuki, Naonori Ueda, Jack Sklansky
1993	J	`jnl`	Learning Visual Models from Shape Contours Using Multiscale Convex/Concave Structure Matching. IEEE Trans. Pattern Anal. Mach. Intell. Naonori Ueda, Satoshi Suzuki
1992	J	`jnl`	Automatic shape model acquisition based on a generalization of convex/concave structure. Syst. Comput. Jpn. Naonori Ueda, Satoshi Suzuki
1992	A*	`conf`	Tracking Moving Contours Using Energy-Minimizing Elastic Contour Models. ECCV Naonori Ueda, Kenji Mase
1991	J	`jnl`	A matching algorithm of deformed planar curves using multiscale convex/concave structures. Syst. Comput. Jpn. Naonori Ueda, Satoshi Suzuki
1991	A*	`conf`	Robust vectorization using graph-based thinning and reliability-based line approximation. CVPR Satoshi Suzuki, Naonori Ueda
1990	—	`conf`	Automatic shape model acquisition using multiscale segment matching. ICPR (1) Naonori Ueda, Satoshi Suzuki