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Naonori Ueda
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2020 – today
- 2023
- [j63]Yuki Yamagishi
, Kazumi Saito, Kazuro Hirahara, Naonori Ueda:
Centrality measure and visualization technique for multiple-parent nodes of earthquakes based on correlation-metric. Appl. Netw. Sci. 8(1): 14 (2023) - 2022
- [j62]Farman Galeb Saed, Abbas Mohammed Noori
, Bahareh Kalantar
, Waleed Mohammed Qader
, Naonori Ueda:
Earthquake-Induced Ground Deformation Assessment via Sentinel-1 Radar Aided at Darbandikhan Town. J. Sensors 2022: 1-11 (2022) - [j61]Seyd Teymoor Seydi
, Vahideh Saeidi
, Bahareh Kalantar
, Naonori Ueda, J. L. van Genderen, Fattah Hatami Maskouni
, Farzad Amini Aria
:
Fusion of the Multisource Datasets for Flood Extent Mapping Based on Ensemble Convolutional Neural Network (CNN) Model. J. Sensors 2022: 1-20 (2022) - [j60]Seyd Teymoor Seydi, Vahideh Saeidi
, Bahareh Kalantar
, Naonori Ueda, Alfian Abdul Halin
:
Fire-Net: A Deep Learning Framework for Active Forest Fire Detection. J. Sensors 2022: 1-14 (2022) - [j59]Seyd Teymoor Seydi
, Heidar Rastiveis
, Bahareh Kalantar
, Alfian Abdul Halin
, Naonori Ueda:
BDD-Net: An End-to-End Multiscale Residual CNN for Earthquake-Induced Building Damage Detection. Remote. Sens. 14(9): 2214 (2022) - [j58]Erfan Hasanpour Zaryabi, Loghman Moradi
, Bahareh Kalantar
, Naonori Ueda, Alfian Abdul Halin:
Unboxing the Black Box of Attention Mechanisms in Remote Sensing Big Data Using XAI. Remote. Sens. 14(24): 6254 (2022) - [c117]Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama:
Predictive variational Bayesian inference as risk-seeking optimization. AISTATS 2022: 5051-5083 - [c116]Masahiro Nakano, Ryo Nishikimi, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda:
Nonparametric Relational Models with Superrectangulation. AISTATS 2022: 8921-8937 - [c115]Yasuhiro Fujiwara, Masahiro Nakano, Atsutoshi Kumagai, Yasutoshi Ida, Akisato Kimura, Naonori Ueda:
Fast Binary Network Hashing via Graph Clustering. Big Data 2022: 381-388 - [c114]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:
152K-computer-node parallel scalable implicit solver for dynamic nonlinear earthquake simulation. HPC Asia 2022: 18-29 - [c113]Bahareh Kalantar, Seyd Teymoor Seydi, Naonori Ueda, Vahideh Saeidi, Alfian Abdul Halin, Farzin Shabani:
Deep Ensemble Learning for Land Cover Classification Based on Hyperspectral Prisma Image. IGARSS 2022: 3612-3615 - [c112]Bahareh Kalantar, Ojogbane Success Sani
, Seyd Teymoor Seydi, Alfian Abdul Halin, Shattri Mansor, Naonori Ueda:
A Deep Learning Approach for Automated Building Outlines Extraction in Compact Urban Environments. IGARSS 2022: 7491-7494 - [c111]Yasue Kishino, Yoshinari Shirai, Koh Takeuchi, Shin Mizutani, Takayuki Suyama, Futoshi Naya, Naonori Ueda:
District Characteristics Analysis with Regional Garbage Amount Estimation Using Vehicle- Mounted Motion Sensors. ISC2 2022: 1-7 - [c110]Kohei Fujita, Sota Murakami, Tsuyoshi Ichimura, Takane Hori, Muneo Hori, Maddegedara Lalith, Naonori Ueda:
Scalable Finite-Element Viscoelastic Crustal Deformation Analysis Accelerated with Data-Driven Method. ScalAH@SC 2022: 18-25 - [i15]Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama:
Excess risk analysis for epistemic uncertainty with application to variational inference. CoRR abs/2206.01606 (2022) - 2021
- [j57]Yusuke Tanaka
, Tomoharu Iwata, Takeshi Kurashima
, Hiroyuki Toda
, Naonori Ueda, Toshiyuki Tanaka
:
Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations. Artif. Intell. 292: 103430 (2021) - [j56]Yuki Yamagishi
, Kazumi Saito, Kazuro Hirahara, Naonori Ueda:
Spatio-temporal clustering of earthquakes based on distribution of magnitudes. Appl. Netw. Sci. 6(1): 71 (2021) - [j55]Futoshi Futami
, Tomoharu Iwata, Naonori Ueda, Issei Sato:
Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices. Entropy 23(8): 993 (2021) - [j54]Diena Al Dogom, Rami Al-Ruzouq
, Bahareh Kalantar, Karen Schuckman, Saeed Al-Mansoori, Sunanda Mukherjee
, Hussain Al-Ahmad, Naonori Ueda:
Geospatial Multicriteria Analysis for Earthquake Risk Assessment: Case Study of Fujairah City in the UAE. J. Sensors 2021: 1-25 (2021) - [j53]Mahyat Shafapour Tehrany
, Haluk Ozener, Bahareh Kalantar
, Naonori Ueda, Mohammad Reza Habibi, Fariborz Shabani, Vahideh Saeidi, Farzin Shabani
:
Application of an Ensemble Statistical Approach in Spatial Predictions of Bushfire Probability and Risk Mapping. J. Sensors 2021: 6638241:1-6638241:31 (2021) - [j52]Yasuhiro Fujiwara, Sekitoshi Kanai, Yasutoshi Ida, Atsutoshi Kumagai, Naonori Ueda:
Fast Algorithm for Anchor Graph Hashing. Proc. VLDB Endow. 14(6): 916-928 (2021) - [j51]Bahareh Kalantar
, Naonori Ueda, Vahideh Saeidi
, Saeid Janizadeh, Fariborz Shabani, Kourosh Ahmadi
, Farzin Shabani
:
Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia. Remote. Sens. 13(13): 2638 (2021) - [j50]Ojogbane Success Sani
, Shattri Mansor, Bahareh Kalantar
, Zailani Khuzaimah
, Helmi Zulhaidi Mohd Shafri, Naonori Ueda:
Automated Building Detection from Airborne LiDAR and Very High-Resolution Aerial Imagery with Deep Neural Network. Remote. Sens. 13(23): 4803 (2021) - [c109]Hirotaka Hachiya, Yusuke Masumoto, Yuki Mori, Naonori Ueda:
Encoder-decoder-based image transformation approach for integrating precipitation forecasts. ACML 2021: 174-188 - [c108]Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane:
Skew-symmetrically perturbed gradient flow for convex optimization. ACML 2021: 721-736 - [c107]Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda:
Bayesian nonparametric model for arbitrary cubic partitioning. ACML 2021: 1585-1600 - [c106]Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Sekitoshi Kanai, Naonori Ueda:
Fast and Accurate Anchor Graph-based Label Prediction. CIKM 2021: 504-513 - [c105]Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda:
Constructing Weighted Networks of Earthquakes with Multiple-parent Nodes Based on Correlation-Metric. COMPLEX NETWORKS 2021: 487-498 - [c104]Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Naonori Ueda:
Fast Similarity Computation for t-SNE. ICDE 2021: 1691-1702 - [c103]Huda Jamal Jumaah, Bahareh Kalantar, Naonori Ueda, Ojogbane Success Sani
, Qayssar Mahmood Ajaj, Sarah Jamal Jumaah:
The Effect of War on Land Use Dynamics in Mosul Iraq Using Remote Sensing and GIS Techniques. IGARSS 2021: 6476-6479 - [c102]Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama:
Loss function based second-order Jensen inequality and its application to particle variational inference. NeurIPS 2021: 6803-6815 - [c101]Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda:
Permuton-induced Chinese Restaurant Process. NeurIPS 2021: 27695-27708 - [c100]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:
Fast scalable implicit solver with convergence of equation-based modeling and data-driven learning: earthquake city simulation on low-order unstructured finite element. PASC 2021: 12:1-12:12 - [c99]Yuki Yamagishi
, Kazumi Saito, Kazuro Hirahara, Naonori Ueda:
Magnitude-Weighted Mean-Shift Clustering with Leave-One-Out Bandwidth Estimation. PRICAI (1) 2021: 347-358 - [c98]Kohei Fujita, Yuma Kikuchi, Tsuyoshi Ichimura, Muneo Hori, Lalith Maddegedara, Naonori Ueda:
GPU Porting of Scalable Implicit Solver with Green's Function-Based Neural Networks by OpenACC. WACCPD@SC 2021: 73-91 - [i14]Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama:
Loss function based second-order Jensen inequality and its application to particle variational inference. CoRR abs/2106.05010 (2021) - 2020
- [j49]Tomoharu Iwata
, Machiko Toyoda, Shotaro Tora, Naonori Ueda:
Anomaly detection with inexact labels. Mach. Learn. 109(8): 1617-1633 (2020) - [j48]Mohamed Barakat A. Gibril
, Bahareh Kalantar
, Rami Al-Ruzouq
, Naonori Ueda, Vahideh Saeidi
, Abdallah Shanableh, Shattri Mansor, Helmi Z. M. Shafri:
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. 12(7): 1081 (2020) - [j47]Bahareh Kalantar
, Naonori Ueda, Vahideh Saeidi
, Kourosh Ahmadi
, Alfian Abdul Halin
, Farzin Shabani
:
Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data. Remote. Sens. 12(11): 1737 (2020) - [j46]Kourosh Ahmadi
, Bahareh Kalantar
, Vahideh Saeidi
, Elaheh K. G. Harandi, Saeid Janizadeh, Naonori Ueda:
Comparison of Machine Learning Methods for Mapping the Stand Characteristics of Temperate Forests Using Multi-Spectral Sentinel-2 Data. Remote. Sens. 12(18): 3019 (2020) - [j45]Bahareh Kalantar
, Naonori Ueda, Husam Abdulrasool H. Al-Najjar, Alfian Abdul Halin
:
Assessment of Convolutional Neural Network Architectures for Earthquake-Induced Building Damage Detection based on Pre- and Post-Event Orthophoto Images. Remote. Sens. 12(21): 3529 (2020) - [j44]Bahareh Kalantar
, Naonori Ueda, Mohammed Oludare Idrees
, Saeid Janizadeh
, Kourosh Ahmadi
, Farzin Shabani
:
Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data. Remote. Sens. 12(22): 3682 (2020) - [c97]Tomoharu Iwata, Akinori Fujino, Naonori Ueda:
Semi-Supervised Learning for Maximizing the Partial AUC. AAAI 2020: 4239-4246 - [c96]Yuki Yamagishi
, Kazumi Saito, Kazuro Hirahara, Naonori Ueda:
Spatio-Temporal Clustering of Earthquakes Based on Average Magnitudes. COMPLEX NETWORKS (1) 2020: 627-637 - [c95]Takuma Yamaguchi, Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori, Lalith Wijerathne, Naonori Ueda:
Data-Driven Approach to Inversion Analysis of Three-Dimensional Inner Soil Structure via Wave Propagation Analysis. ICCS (3) 2020: 3-17 - [c94]Yasuhiro Fujiwara, Atsutoshi Kumagai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda:
Efficient Algorithm for the b-Matching Graph. KDD 2020: 187-197 - [c93]Masahiro Nakano, Akisato Kimura, Takeshi Yamada, Naonori Ueda:
Baxter Permutation Process. NeurIPS 2020 - [c92]Takuma Yamaguchi, Kohei Fujita, Tsuyoshi Ichimura, Akira Naruse, Jack C. Wells
, Christopher Zimmer, Tjerk P. Straatsma, Muneo Hori, Lalith Maddegedara, Naonori Ueda:
Low-Order Finite Element Solver with Small Matrix-Matrix Multiplication Accelerated by AI-Specific Hardware for Crustal Deformation Computation. PASC 2020: 16:1-16:11 - [c91]Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori, Lalith Maddegedara, Naonori Ueda, Yuma Kikuchi:
A Fast Scalable Iterative Implicit Solver with Green's function-based Neural Networks. ScalA@SC 2020: 61-68 - [i13]Tsuyoshi Okita, Hirotaka Hachiya, Sozo Inoue, Naonori Ueda:
Translation Between Waves, wave2wave. CoRR abs/2007.10394 (2020)
2010 – 2019
- 2019
- [j43]Husam Abdulrasool H. Al-Najjar, Bahareh Kalantar
, Biswajeet Pradhan
, Vahideh Saeidi
, Alfian Abdul Halin
, Naonori Ueda, Shattri Mansor:
Land Cover Classification from fused DSM and UAV Images Using Convolutional Neural Networks. Remote. Sens. 11(12): 1461 (2019) - [c90]Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda:
Efficient Data Point Pruning for One-Class SVM. AAAI 2019: 3590-3597 - [c89]Hirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara, Naonori Ueda:
Adaptive truncated residual regression for fine-grained regression problems. ACML 2019: 868-882 - [c88]Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Junya Arai, Naonori Ueda:
Fast Random Forest Algorithm via Incremental Upper Bound. CIKM 2019: 2205-2208 - [c87]Bahareh Kalantar, Naonori Ueda, Usman Salihu Lay, Husam Abdulrasool H. Al-Najjar, Alfian Abdul Halin:
Conditioning Factors Determination for Landslide Susceptibility Mapping Using Support Vector Machine Learning. IGARSS 2019: 9626-9629 - [c86]Takuma Otsuka, Hitoshi Shimizu, Tomoharu Iwata, Futoshi Naya, Hiroshi Sawada, Naonori Ueda:
Bayesian Optimization for Crowd Traffic Control Using Multi-Agent Simulation. ITSC 2019: 1981-1988 - [c85]Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka
, Hiroyuki Toda, Naonori Ueda:
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. KDD 2019: 373-383 - [c84]Takahiro Omi, Naonori Ueda, Kazuyuki Aihara:
Fully Neural Network based Model for General Temporal Point Processes. NeurIPS 2019: 2120-2129 - [i12]Takahiro Omi, Naonori Ueda, Kazuyuki Aihara:
Fully Neural Network based Model for General Temporal Point Processes. CoRR abs/1905.09690 (2019) - [i11]Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda:
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. CoRR abs/1906.08952 (2019) - [i10]Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda:
Anomaly Detection with Inexact Labels. CoRR abs/1909.04807 (2019) - 2018
- [j42]Tomoharu Iwata
, Tsutomu Hirao, Naonori Ueda:
Topic Models for Unsupervised Cluster Matching. IEEE Trans. Knowl. Data Eng. 30(4): 786-795 (2018) - [c83]Yasuhiro Fujiwara, Junya Arai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda:
Adaptive Data Pruning for Support Vector Machines. IEEE BigData 2018: 683-692 - [c82]Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda:
Few-shot learning of neural networks from scratch by pseudo example optimization. BMVC 2018: 105 - [c81]Yasue Kishino, Yoshinari Shirai, Koh Takeuchi, Takayuki Suyama, Futoshi Naya, Naonori Ueda:
Regional Garbage Amount Estimation and Analysis Using Car-Mounted Motion Sensors. UbiComp/ISWC Adjunct 2018: 110-113 - [c80]Takuro Yonezawa
, Koh Takeuchi, Tomotaka Ito, Mina Sakamura, Yasue Kishino, Futoshi Naya, Naonori Ueda, Jin Nakazawa:
Accelerating Urban Science by Crowdsensing with Civil Officers. UbiComp/ISWC Adjunct 2018: 303-306 - [c79]Yusuke Tanaka
, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda:
Estimating Latent People Flow without Tracking Individuals. IJCAI 2018: 3556-3563 - [c78]Benoît Choffin, Naonori Ueda:
Scaling Bayesian Optimization up to Higher Dimensions: a Review and Comparison of Recent Algorithms. MLSP 2018: 1-6 - [c77]Hitoshi Shimizu, Tatsushi Matsubayashi, Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda, Hiroshi Sawada:
Improving Route Traffic Estimation by Considering Staying Population. PRIMA 2018: 630-637 - [i9]Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda:
Imitation networks: Few-shot learning of neural networks from scratch. CoRR abs/1802.03039 (2018) - [i8]Naonori Ueda, Akinori Fujino:
Partial AUC Maximization via Nonlinear Scoring Functions. CoRR abs/1806.04838 (2018) - [i7]Tomoharu Iwata, Naonori Ueda:
Unsupervised Object Matching for Relational Data. CoRR abs/1810.03770 (2018) - [i6]Tomoharu Iwata, Takuma Otsuka, Hitoshi Shimizu, Hiroshi Sawada, Futoshi Naya, Naonori Ueda:
Finding Appropriate Traffic Regulations via Graph Convolutional Networks. CoRR abs/1810.09712 (2018) - 2017
- [j41]Katsuhiko Ishiguro, Issei Sato, Naonori Ueda:
Averaged Collapsed Variational Bayes Inference. J. Mach. Learn. Res. 18: 1:1-1:29 (2017) - [j40]Tomoharu Iwata, Hitoshi Shimizu, Futoshi Naya, Naonori Ueda:
Estimating People Flow from Spatiotemporal Population Data via Collective Graphical Mixture Models. ACM Trans. Spatial Algorithms Syst. 3(1): 2:1-2:18 (2017) - [c76]Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda:
Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes. AAAI 2017: 132-139 - [c75]Yasue Kishino, Koh Takeuchi, Yoshinari Shirai, Futoshi Naya, Naonori Ueda:
Datafying city: Detecting and accumulating spatio-temporal events by vehicle-mounted sensors. IEEE BigData 2017: 4098-4104 - [c74]Akisato Kimura, Ichiro Takahashi, Masaomi Tanaka, Naoki Yasuda, Naonori Ueda, Naoki Yoshida:
Single-Epoch Supernova Classification with Deep Convolutional Neural Networks. ICDCS Workshops 2017: 354-359 - [c73]Koh Takeuchi, Hisashi Kashima, Naonori Ueda:
Autoregressive Tensor Factorization for Spatio-Temporal Predictions. ICDM 2017: 1105-1110 - [c72]Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda:
SVD-Based Screening for the Graphical Lasso. IJCAI 2017: 1682-1688 - [c71]Mathieu Blondel, Vlad Niculae, Takuma Otsuka, Naonori Ueda:
Multi-output Polynomial Networks and Factorization Machines. NIPS 2017: 3349-3359 - [c70]Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda:
Scaling Locally Linear Embedding. SIGMOD Conference 2017: 1479-1492 - [e1]Naonori Ueda, Shinji Watanabe, Tomoko Matsui, Jen-Tzung Chien, Jan Larsen:
27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017, Tokyo, Japan, September 25-28, 2017. IEEE 2017, ISBN 978-1-5090-6341-3 [contents] - [i5]Mathieu Blondel, Vlad Niculae, Takuma Otsuka, Naonori Ueda:
Multi-output Polynomial Networks and Factorization Machines. CoRR abs/1705.07603 (2017) - [i4]Akisato Kimura, Ichiro Takahashi, Masaomi Tanaka, Naoki Yasuda, Naonori Ueda, Naoki Yoshida:
Single-epoch supernova classification with deep convolutional neural networks. CoRR abs/1711.11526 (2017) - 2016
- [j39]Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda:
Probabilistic latent variable models for unsupervised many-to-many object matching. Inf. Process. Manag. 52(4): 682-697 (2016) - [j38]Sozo Inoue, Naonori Ueda, Yasunobu Nohara
, Naoki Nakashima:
Recognizing and Understanding Nursing Activities for a Whole Day with a Big Dataset. J. Inf. Process. 24(6): 853-866 (2016) - [c69]Katsuhiko Ishiguro, Issei Sato, Masahiro Nakano, Akisato Kimura, Naonori Ueda:
Infinite Plaid Models for Infinite Bi-Clustering. AAAI 2016: 1701-1708 - [c68]Akinori Fujino, Naonori Ueda:
A Semi-Supervised AUC Optimization Method with Generative Models. ICDM 2016: 883-888 - [c67]Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda:
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms. ICML 2016: 850-858 - [c66]Koh Takeuchi, Naonori Ueda:
Graph regularized Non-negative Tensor Completion for spatio-temporal data analysis. IWSC@Middleware 2016: 5:1-5:6 - [c65]Takamichi Toda, Sozo Inoue, Naonori Ueda:
Mobile Activity Recognition through Training Labels with Inaccurate Activity Segments. MobiQuitous 2016: 57-64 - [c64]Mathieu Blondel, Akinori Fujino, Naonori Ueda, Masakazu Ishihata:
Higher-Order Factorization Machines. NIPS 2016: 3351-3359 - [i3]Mathieu Blondel, Akinori Fujino, Naonori Ueda, Masakazu Ishihata:
Higher-Order Factorization Machines. CoRR abs/1607.07195 (2016) - [i2]Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda:
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms. CoRR abs/1607.08810 (2016) - 2015
- [c63]Sozo Inoue, Naonori Ueda, Yasunobu Nohara
, Naoki Nakashima:
Mobile activity recognition for a whole day: recognizing real nursing activities with big dataset. UbiComp 2015: 1269-1280 - [c62]Morito Matsuoka, Naonori Ueda, Hideyuki Tokuda, Rodger Lea, Luis Muñoz
:
SmartCities'15: international workshop on smart cities: people, technology and data. UbiComp/ISWC Adjunct 2015: 1509-1513 - [c61]Naonori Ueda, Futoshi Naya, Hitoshi Shimizu, Tomoharu Iwata, Maya Okawa, Hiroshi Sawada:
Real-time and proactive navigation via spatio-temporal prediction. UbiComp/ISWC Adjunct 2015: 1559-1566 - [c60]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:
Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. KDD 2015: 1681-1690 - [c59]Mathieu Blondel, Akinori Fujino, Naonori Ueda:
Convex Factorization Machines. ECML/PKDD (2) 2015: 19-35 - 2014
- [c58]Mathieu Blondel, Yotaro Kubo, Naonori Ueda:
Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion. AISTATS 2014: 96-104 - [c57]Takamichi Toda, Naonori Ueda, Sozo Inoue, Shota Tanaka:
Training human activity recognition for labels with inaccurate time stamps. UbiComp Adjunct 2014: 863-872 - [c56]Yasuko Matsubara, Yasushi Sakurai, Naonori Ueda, Masatoshi Yoshikawa:
Fast and Exact Monitoring of Co-Evolving Data Streams. ICDM 2014: 390-399 - [c55]Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada, Naonori Ueda:
Rectangular Tiling Process. ICML 2014: 361-369 - [c54]Mathieu Blondel, Akinori Fujino, Naonori Ueda:
Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex. ICPR 2014: 1289-1294 - [i1]Katsuhiko Ishiguro, Issei Sato, Naonori Ueda:
Collapsed Variational Bayes Inference of Infinite Relational Model. CoRR abs/1409.4757 (2014) - 2013
- [j37]Akinori Fujino, Naonori Ueda, Masaaki Nagata:
Adaptive semi-supervised learning on labeled and unlabeled data with different distributions. Knowl. Inf. Syst. 37(1): 129-154 (2013) - [j36]Hiroshi Sawada, Hirokazu Kameoka, Shoko Araki
, Naonori Ueda:
Multichannel Extensions of Non-Negative Matrix Factorization With Complex-Valued Data. IEEE Trans. Speech Audio Process. 21(5): 971-982 (2013) - [j35]Tomoharu Iwata, Takeshi Yamada, Naonori Ueda:
Modeling Noisy Annotated Data with Application to Social Annotation. IEEE Trans. Knowl. Data Eng. 25(7): 1601-1613 (2013) - [j34]Xu Sun, Hisashi Kashima, Naonori Ueda:
Large-Scale Personalized Human Activity Recognition Using Online Multitask Learning. IEEE Trans. Knowl. Data Eng. 25(11): 2551-2563 (2013) - [c53]Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda:
Unsupervised Cluster Matching via Probabilistic Latent Variable Models. AAAI 2013 - 2012
- [j33]Hirotaka Hachiya, Masashi Sugiyama
, Naonori Ueda:
Importance-weighted least-squares probabilistic classifier for covariate shift adaptation with application to human activity recognition. Neurocomputing 80: 93-101 (2012) - [j32]Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda:
Sequential Modeling of Topic Dynamics with Multiple Timescales. ACM Trans. Knowl. Discov. Data 5(4): 19:1-19:27 (2012) - [c52]