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Kuniaki Uehara
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2020 – today
- 2022
- [j35]Kazuki Sato, Satoshi Nakata, Takashi Matsubara, Kuniaki Uehara:
Few-Shot Anomaly Detection Using Deep Generative Models for Grouped Data. IEICE Trans. Inf. Syst. 105-D(2): 436-440 (2022) - [j34]Takumi Kimura, Takashi Matsubara, Kuniaki Uehara:
Topology-Aware Flow-Based Point Cloud Generation. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7967-7982 (2022) - [j33]Takashi Matsubara, Kazuki Sato, Kenta Hama, Ryosuke Tachibana, Kuniaki Uehara:
Deep Generative Model Using Unregularized Score for Anomaly Detection With Heterogeneous Complexity. IEEE Trans. Cybern. 52(6): 5161-5173 (2022) - 2021
- [j32]Kohei Nakai, Takashi Matsubara, Kuniaki Uehara:
Neural Architecture Search for Convolutional Neural Networks with Attention. IEICE Trans. Inf. Syst. 104-D(2): 312-321 (2021) - [j31]Takashi Matsubara, Koki Kusano, Tetsuo Tashiro, Kenya Ukai, Kuniaki Uehara:
Deep Generative Model of Individual Variability in fMRI Images of Psychiatric Patients. IEEE Trans. Biomed. Eng. 68(2): 592-605 (2021) - [j30]Kenta Hama, Takashi Matsubara, Kuniaki Uehara, Jianfei Cai:
Exploring Uncertainty Measures for Image-caption Embedding-and-retrieval Task. ACM Trans. Multim. Comput. Commun. Appl. 17(2): 46:1-46:19 (2021) - [c136]Takumi Kimura, Takashi Matsubara, Kuniaki Uehara:
ChartPointFlow for Topology-Aware 3D Point Cloud Generation. ACM Multimedia 2021: 1396-1404 - 2020
- [j29]Kazuki Kawamura, Takashi Matsubara, Kuniaki Uehara:
Deep State-Space Model for Noise Tolerant Skeleton-Based Action Recognition. IEICE Trans. Inf. Syst. 103-D(6): 1217-1225 (2020) - [j28]Rousslan Fernand Julien Dossa, Xinyu Lian, Hirokazu Nomoto, Takashi Matsubara, Kuniaki Uehara:
Hybrid of Reinforcement and Imitation Learning for Human-Like Agents. IEICE Trans. Inf. Syst. 103-D(9): 1960-1970 (2020) - [j27]Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara:
Data Augmentation Using Random Image Cropping and Patching for Deep CNNs. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2917-2931 (2020) - [c135]Kohei Nakai, Takashi Matsubara, Kuniaki Uehara:
Att-DARTS: Differentiable Neural Architecture Search for Attention. IJCNN 2020: 1-8 - [c134]Daiki Mukai, Ryosuke Utsunomiya, Shunsuke Utsuki, Kimiaki Shirahama, Takashi Matsubara, Kuniaki Uehara:
Kindai University and Osaka Gakuin University at TRECVID 2020 AVS and ActEV Tasks. TRECVID 2020 - [i6]Takumi Kimura, Takashi Matsubara, Kuniaki Uehara:
ChartPointFlow for Topology-Aware 3D Point Cloud Generation. CoRR abs/2012.02346 (2020)
2010 – 2019
- 2019
- [j26]Takashi Matsubara, Tetsuo Tashiro, Kuniaki Uehara:
Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis. IEEE Trans. Biomed. Eng. 66(10): 2768-2779 (2019) - [j25]Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara:
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness. IEEE Trans. Circuits Syst. Video Technol. 29(4): 1090-1101 (2019) - [c133]Rousslan Fernand Julien Dossa, Xinyu Lian, Hirokazu Nomoto, Takashi Matsubara, Kuniaki Uehara:
A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning. IJCNN 2019: 1-8 - [c132]Koki Kusano, Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara:
Deep Generative State-Space Modeling of FMRI Images for Psychiatric Disorder Diagnosis. IJCNN 2019: 1-7 - [c131]Kazuki Sato, Kenta Hama, Takashi Matsubara, Kuniaki Uehara:
Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation. IJCNN 2019: 1-7 - [c130]Kimiaki Shirahama, Daichi Sakurai, Takashi Matsubara, Kuniaki Uehara:
Kindai University and Kobe University at TRECVID 2019 AVS Task. TRECVID 2019 - [i5]Kenta Hama, Takashi Matsubara, Kuniaki Uehara, Jianfei Cai:
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task. CoRR abs/1904.08504 (2019) - 2018
- [j24]Takashi Matsubara, Ryo Akita, Kuniaki Uehara:
Stock Price Prediction by Deep Neural Generative Model of News Articles. IEICE Trans. Inf. Syst. 101-D(4): 901-908 (2018) - [c129]Kenya Ukai, Takashi Matsubara, Kuniaki Uehara:
Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN. ACML 2018: 176-191 - [c128]Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara:
RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs. ACML 2018: 786-798 - [c127]Takashi Matsubara, Ryosuke Tachibana, Kuniaki Uehara:
Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score. IJCNN 2018: 1-8 - [c126]Takashi Matsubara, Tetsuo Tashiro, Kuniaki Uehara:
Structured Deep Generative Model of fMRI Signals for Mental Disorder Diagnosis. MICCAI (3) 2018: 258-266 - [c125]Kimiaki Shirahama, Zhenying He, Kuniaki Uehara:
Kobe University and Kindai University at TRECVID 2018 AVS Task. TRECVID 2018 - [i4]Takashi Matsubara, Ryosuke Tachibana, Kuniaki Uehara:
Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score. CoRR abs/1807.05800 (2018) - [i3]Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara:
Data Augmentation using Random Image Cropping and Patching for Deep CNNs. CoRR abs/1811.09030 (2018) - 2017
- [c124]Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara:
Scale-Invariant Recognition by Weight-Shared CNNs in Parallel. ACML 2017: 295-310 - [c123]Shohei Miyashita, Xinyu Lian, Xiao Zeng, Takashi Matsubara, Kuniaki Uehara:
Developing game AI agent behaving like human by mixing reinforcement learning and supervised learning. SNPD 2017: 489-494 - [c122]Yuusuke Kataoka, Takashi Matsubara, Kuniaki Uehara:
Automatic manga colorization with color style by generative adversarial nets. SNPD 2017: 495-499 - [c121]Zhenying He, Takashi Shinozaki, Kimiaki Shirahama, Marcin Grzegorzek, Kuniaki Uehara:
Kobe University, NICT and University of Siegen at TRECVID 2017 AVS Task. TRECVID 2017 - [i2]Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara:
A Novel Weight-Shared Multi-Stage Network Architecture of CNNs for Scale Invariance. CoRR abs/1702.03505 (2017) - [i1]Takashi Matsubara, Tetsuo Tashiro, Kuniaki Uehara:
Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis. CoRR abs/1712.06260 (2017) - 2016
- [j23]Akira Yoshihara, Kazuhiro Seki, Kuniaki Uehara:
Leveraging temporal properties of news events for stock market prediction. Artif. Intell. Res. 5(1): 103-110 (2016) - [c120]Ryo Akita, Akira Yoshihara, Takashi Matsubara, Kuniaki Uehara:
Deep learning for stock prediction using numerical and textual information. ICIS 2016: 1-6 - [c119]Yuusuke Kataoka, Takashi Matsubara, Kuniaki Uehara:
Image generation using generative adversarial networks and attention mechanism. ICIS 2016: 1-6 - [c118]Ryosuke Tachibana, Takashi Matsubara, Kuniaki Uehara:
Semi-Supervised learning using adversarial networks. ICIS 2016: 1-6 - [c117]Zeyd Boukhers, Yicong Wang, Kimiaki Shirahama, Kuniaki Uehara, Marcin Grzegorzek:
Convoy Detection in Crowded Surveillance Videos. HBU 2016: 137-147 - [c116]Takashi Matsubara, Kuniaki Uehara:
A novel homeostatic plasticity model realized by random fluctuations in excitatory synapses. IJCNN 2016: 1060-1067 - [c115]Yasuyuki Matsumoto, Takashi Shinozaki, Kimiaki Shirahama, Marcin Grzegorzek, Kuniaki Uehara:
Kobe University, NICT and University of Siegen at TRECVID 2016 AVS Task. TRECVID 2016 - 2015
- [j22]Kimiaki Shirahama, Marcin Grzegorzek, Kuniaki Uehara:
Weakly supervised detection of video events using hidden conditional random fields. Int. J. Multim. Inf. Retr. 4(1): 17-32 (2015) - [j21]Shun Kawahara, Kazuhiro Seki, Kuniaki Uehara:
Detecting Vital Documents in Massive Data Streams. Open J. Web Technol. 2(1): 16-26 (2015) - [c114]Xinlu Guo, Kuniaki Uehara:
A Support Set Selection Algorithm for Sparse Gaussian Process Regression. IIAI-AAI 2015: 568-573 - [c113]Shun Kawahara, Kazuhiro Seki, Kuniaki Uehara:
Detecting Vital Documents Using Negative Relevance Feedback in Distributed Realtime Computation Framework. PACLING 2015: 193-208 - [c112]Kimiaki Shirahama, Takashi Shinozaki, Yasuyuki Matsumoto, Marcin Grzegorzek, Kuniaki Uehara:
University of Siegen, Kobe University and NICT at TRECVID 2015 SIN and MED Tasks. TRECVID 2015 - [p1]Kimiaki Shirahama, Kenji Kumabuchi, Marcin Grzegorzek, Kuniaki Uehara:
Video Retrieval Based on Uncertain Concept Detection Using Dempster-Shafer Theory. Multimedia Data Mining and Analytics 2015: 269-294 - 2014
- [j20]Kimiaki Shirahama, Yuta Matsuoka, Kuniaki Uehara:
Hybrid negative example selection using visual and conceptual features. Multim. Tools Appl. 71(3): 967-989 (2014) - [c111]Yicong Wang, Kazuhiro Seki, Kuniaki Uehara:
Detection of Trajectory Patterns and Visualization of Spatio-temporal Information Based on Data Stream Approaches. GRMSE 2014: 204-214 - [c110]Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara:
Time-Aware Latent Concept Expansion for Microblog Search. ICWSM 2014 - [c109]Kimiaki Shirahama, Marcin Grzegorzek, Kuniaki Uehara:
Multimedia Event Detection Using Hidden Conditional Random Fields. ICMR 2014: 9 - [c108]Akira Yoshihara, Kazuki Fujikawa, Kazuhiro Seki, Kuniaki Uehara:
Predicting Stock Market Trends by Recurrent Deep Neural Networks. PRICAI 2014: 759-769 - [c107]Shun Kawahara, Kuniaki Uehara, Kazuhiro Seki:
K2U at TREC 2014 KBA Track. TREC 2014 - 2013
- [j19]Kazuhiro Seki, Ryota Jinno, Kuniaki Uehara:
Parallel Distributed Trajectory Pattern Mining Using Hierarchical Grid with MapReduce. Int. J. Grid High Perform. Comput. 5(4): 79-96 (2013) - [j18]Kazuki Fujikawa, Kazuhiro Seki, Kuniaki Uehara:
NegFinder: A Web Service for Identifying Negation Signals and Their Scopes. Inf. Media Technol. 8(3): 884-889 (2013) - [j17]Mathieu Blondel, Kazuhiro Seki, Kuniaki Uehara:
Block coordinate descent algorithms for large-scale sparse multiclass classification. Mach. Learn. 93(1): 31-52 (2013) - [j16]Tetsuya Nakamura, Keishi Taki, Hiroki Nomiya, Kazuhiro Seki, Kuniaki Uehara:
A shape-based similarity measure for time series data with ensemble learning. Pattern Anal. Appl. 16(4): 535-548 (2013) - [c106]Shohei Higashiyama, Kazuhiro Seki, Kuniaki Uehara:
Developing ML-based Systems to Extract Medical Information from Japanese Medical History Summaries. NLPHealthcare@IJCNLP 2013: 14-21 - [c105]Sayaka Kitaguchi, Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara:
Interactive Disaster Information Search System for Microblog by Minimal User Feedback. AIRS 2013: 476-487 - [c104]Koji Kumanami, Kazuhiro Seki, Kuniaki Uehara:
Agglomerative co-clustering for synonymous phrases based on common effects and influences. IEEE BigData 2013: 87-94 - [c103]Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara:
Improving pseudo-relevance feedback via tweet selection. CIKM 2013: 439-448 - [c102]Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara:
Combining Recency and Topic-Dependent Temporal Variation for Microblog Search. ECIR 2013: 331-343 - [c101]Kazuhiro Seki, Kuniaki Uehara:
Supervised Hypothesis Discovery Using Syllogistic Patterns in the Biomedical Literature. IJCAI 2013: 1663-1669 - [c100]Shohei Higashiyama, Kazuhiro Seki, Kuniaki Uehara:
Clinical Entity Recognition Using Cost-Sensitive Structured Perceptron for NTCIR-10 MedNLP. NTCIR 2013 - [c99]Mathieu Blondel, Kazuhiro Seki, Kuniaki Uehara:
Learning non-linear classifiers with a sparsity constraint using L1 regularization. SAC 2013: 167-169 - [c98]Taiki Miyanishi, Sayaka Kitaguchi, Kazuhiro Seki, Kuniaki Uehara:
TREC 2013 Microblog Track Experiments at Kobe University. TREC 2013 - [c97]Kimiaki Shirahama, Chen Li, Marcin Grzegorzek, Kuniaki Uehara:
University of Siegen, Kobe University and Muroran Institute of Technology at TRECVID 2013 Multimedia Event Detection. TRECVID 2013 - 2012
- [j15]Kimiaki Shirahama, Yuta Matsuoka, Kuniaki Uehara:
Event retrieval in video archives using rough set theory and partially supervised learning. Multim. Tools Appl. 57(1): 145-173 (2012) - [c96]Takuya Hagimura, Kazuhiro Seki, Kuniaki Uehara:
Generating Interpretable Hypotheses Based on Syllogistic Patterns. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text 2012 - [c95]Yoshiaki Yasumura, Hiroyoshi Takahashi, Kuniaki Uehara:
Potential Topics Discovery from Topic Frequency Transition with Semi-supervised Learning. ACIIDS (2) 2012: 477-486 - [c94]Xinlu Guo, Yoshiaki Yasumura, Kuniaki Uehara:
Semi-supervised Gaussian Process Regression and Its Feedback Design. ADMA 2012: 353-366 - [c93]Kimiaki Shirahama, Kuniaki Uehara, Marcin Grzegorzek:
Examining the applicability of virtual reality technique for video retrieval. CBMI 2012: 1-6 - [c92]Kazuki Fujikawa, Kazuhiro Seki, Kuniaki Uehara:
A hybrid approach to finding negated and uncertain expressions in biomedical documents. MIX-HS 2012: 67-74 - [c91]Ryota Jinno, Kazuhiro Seki, Kuniaki Uehara:
Parallel distributed trajectory pattern mining using MapReduce. CloudCom 2012: 269-273 - [c90]Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara:
TREC 2012 Microblog Track Experiments at Kobe University. TREC 2012 - [c89]Kimiaki Shirahama, Kuniaki Uehara:
Kobe University and Muroran Institute of Technology at TRECVID 20112 Semantic Indexing Task. TRECVID 2012 - 2011
- [j14]Kimiaki Shirahama, Kuniaki Uehara:
Constructing and Utilizing Video Ontology for Accurate and Fast Retrieval. Int. J. Multim. Data Eng. Manag. 2(4): 59-75 (2011) - [j13]Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara:
Hypothesis Ranking Based on Semantic Event Similarities. Inf. Media Technol. 6(3): 803-814 (2011) - [j12]Kazuhiro Seki, Kuniaki Uehara:
Opinionated document retrieval using subjective triggers. J. Assoc. Inf. Sci. Technol. 62(5): 861-876 (2011) - [c88]Kimiaki Shirahama, Kuniaki Uehara:
Effectiveness of Video Ontology in Query by Example Approach. AMT 2011: 49-58 - [c87]Mathieu Blondel, Kazuhiro Seki, Kuniaki Uehara:
Application of Semantic Kernels to Literature-Based Gene Function Annotation. Discovery Science 2011: 61-75 - [c86]Kimiaki Shirahama, Kuniaki Uehara:
Query by Virtual Example: Video Retrieval Using Example Shots Created by Virtual Reality Techniques. ICIG 2011: 829-834 - [c85]Kimiaki Shirahama, Yuta Matsuoka, Kuniaki Uehara:
Video Event Retrieval from a Small Number of Examples Using Rough Set Theory. MMM (1) 2011: 96-106 - [c84]Kimiaki Shirahama, Kuniaki Uehara:
Utilizing Video Ontology for Fast and Accurate Query-by-Example Retrieval. ICSC 2011: 395-402 - [c83]Mathieu Blondel, Kazuhiro Seki, Kuniaki Uehara:
Tackling class imbalance and data scarcity in literature-based gene function annotation. SIGIR 2011: 1123-1124 - [c82]Taiki Miyanishi, Naoto Okamura, Xiaoxi Liu, Kazuhiro Seki, Kuniaki Uehara:
TREC 2011 Microblog Track Experiments at Kobe University. TREC 2011 - [c81]Kimiaki Shirahama, Yanpeng Lin, Kuniaki Uehara:
Kobe University at TRECVID 2011 Semantic Indexing and Multimedia Event Detection. TRECVID 2011 - 2010
- [c80]Mathieu Blondel, Kazuhiro Seki, Kuniaki Uehara:
Unsupervised Learning of Stroke Tagger for Online Kanji Handwriting Recognition. ICPR 2010: 1973-1976 - [c79]Kazuhiro Seki, Huawei Qin, Kuniaki Uehara:
Impact and prospect of social bookmarks for bibliographic information retrieval. JCDL 2010: 357-360 - [c78]Kimiaki Shirahama, Chieri Sugihara, Kuniaki Uehara:
Query-Based Video Event Definition Using Rough Set Theory and High-Dimensional Representation. MMM 2010: 358-369 - [c77]Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara:
Hypothesis generation and ranking based on event similarities. SAC 2010: 1552-1558 - [c76]Kimiaki Shirahama, Yuta Matsuoka, Kuniaki Uehara:
Query by Few Video Examples Using Rough Set Theory and Partially Supervised Learning. SAMT 2010: 190-191
2000 – 2009
- 2009
- [j11]Yoshiaki Yasumura, Takahiko Kamiryo, Shohei Yoshikawa, Kuniaki Uehara:
Acquisition of a concession strategy in multi-issue negotiation. Web Intell. Agent Syst. 7(2): 161-171 (2009) - [c75]Kazuhiro Seki, Yoshihiro Kino, Kuniaki Uehara:
Gene Functional Annotation with Dynamic Hierarchical Classification Guided by Orthologs. Discovery Science 2009: 425-432 - [c74]Kimiaki Shirahama, Chieri Sugihara, Kana Matsumura, Yuta Matsuoka, Kuniaki Uehara:
Mining Event Definitions from Queries for Video Retrieval on the Internet. ICDM Workshops 2009: 176-183 - [c73]Kimiaki Shirahama, Chieri Sugihara, Yuta Matsuoka, Kuniaki Uehara:
Query-based video event definition using rough set theory. EIMM@MM 2009: 9-16 - [c72]Kimiaki Shirahama, Chieri Sugihara, Yuta Matsuoka, Kana Matsumura, Kuniaki Uehara:
Kobe University at TRECVID 2009 Search Task. TRECVID 2009 - [c71]Kazuhiro Seki, Kuniaki Uehara:
Adaptive subjective triggers for opinionated document retrieval. WSDM 2009: 25-33 - 2008
- [j10]Satoru Mega, Younes Fadil, Arata Horie, Kuniaki Uehara:
Assist in Cooking: Action Support System for Interactive Self-Training. Int. J. Semantic Comput. 2(2): 207-233 (2008) - [c70]Akihiko Izutani, Kuniaki Uehara:
A Modeling Approach Using Multiple Graphs for Semi-Supervised Learning. Discovery Science 2008: 296-307 - [c69]Shohei Yoshikawa, Yoshiaki Yasumura, Kuniaki Uehara:
Strategy Acquisition on Multi-issue Negotiation without Estimating Opponent's Preference. KES-AMSTA 2008: 371-380 - [c68]Kimiaki Shirahama, Kuniaki Uehara:
A Novel Topic Extraction Method Based on Bursts in Video Streams. MUE 2008: 249-252 - [c67]Kazuhiro Seki, Hiroyuki Hattori, Kuniaki Uehara:
Generating diverse katakana variants based on phonemic mapping. SIGIR 2008: 793-794 - [c66]Akihito Mizui, Kimiaki Shirahama, Kuniaki Uehara:
TRECVID 2008 NOTEBOOK PAPER: InteractiveSearch Using Multiple Queries and Rough Set Theory. TRECVID 2008 - 2007
- [j9]Yoshiyuki Nakatani, Kuangyi Zhu, Kuniaki Uehara:
Semisupervised learning using feature selection based on maximum density subgraphs. Syst. Comput. Jpn. 38(9): 32-43 (2007) - [c65]Hiroki Nomiya, Kuniaki Uehara:
Multistrategical Approach in Visual Learning. ACCV (1) 2007: 502-511 - [c64]Selim Mimaroglu, Kuniaki Uehara:
Bit Sequences and Biclustering of Text Documents. ICDM Workshops 2007: 51-56 - [c63]Yoshiaki Yasumura, Naho Kitani, Kuniaki Uehara:
Quick Adaptation to Changing Concepts by Sensitive Detection. IEA/AIE 2007: 855-864 - [c62]Kazuhiro Seki, Yoshihiro Kino, Shohei Sato, Kuniaki Uehara:
TREC 2007 Blog Track Experiments at Kobe University. TREC 2007 - 2006
- [c61]Arata Horie, Satoru Mega, Kuniaki Uehara:
The Interactive Cooking Support System in Mixed Reality Environment. ICME 2006: 657-660 - [c60]Masahito Kumano, Kuniaki Uehara, Yasuo Ariki:
Online Training-Oriented Video Shooting Navigation System Based on Real-Time Camerawork Evaluation. ICME 2006: 1281-1284 - [c59]Younes Fadil, Satoru Mega, Arata Horie, Kuniaki Uehara:
Mixed Reality Cooking Support System Using Content-Free Recipe Selection. ISM 2006: 845-850 - [c58]Biplab Kumer Sarker, Anil Kumar Tripathi, Deo Prakash Vidyarthi, Laurence Tianruo Yang, Kuniaki Uehara:
Multiple Tasks Allocation in Arbitrarily Connected Distributed Computing Systems Using A* Algorithm and Genetic Algorithm. ISPA Workshops 2006: 279-290 - [c57]Jun'ya Matsuyama, Kuniaki Uehara:
Multidirectional Face Tracking with 3D Face Model and Learning Half-Face Template. VISIGRAPP (Selected Papers) 2006: 316-329 - [c56]Takayuki Yamada, Daisaku Sakano, Yoshiaki Yasumura, Kuniaki Uehara:
Extraction of Reliable Reputation Information Using Contributor's Stance. Web Intelligence 2006: 382-385 - [c55]Shohei Yoshikawa, Takahiko Kamiryo, Yoshiaki Yasumura, Kuniaki Uehara:
Strategy Acquisition of Agents in Multi-Issue Negotiation. Web Intelligence 2006: 933-939 - 2005
- [j8]Yoshiki Tanaka, Kazuhisa Iwamoto, Kuniaki Uehara:
Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle. Mach. Learn. 58(2-3): 269-300 (2005) - [c54]Yoshiaki Yasumura, Naho Kitani, Kuniaki Uehara:
Integration of Bagging and Boosting with a New Reweighting Technique. CIMCA/IAWTIC 2005: 338-343 - [c53]Biplab Kumer Sarker, Anil Kumar Tripathi, Deo Prakash Vidyarthi, Laurence Tianruo Yang, Kuniaki Uehara:
Load Balanced Allocation of Multiple Tasks in a Distributed Computing System. EUC 2005: 584-596 - [c52]Biplab Kumer Sarker, Kuniaki Uehara, Laurence Tianruo Yang:
Exploiting Efficient Parallelism for Mining Rules in Time Series Data. HPCC 2005: 845-855 - [c51]Kimiaki Shirahama, Koichi Ideno, Kuniaki Uehara:
Video Data Mining: Mining Semantic Patterns with temporal constraints from Movies. ISM 2005: 598-604 - [c50]Biplab Kumer Sarker, Toshiya Hirata, Kuniaki Uehara, Virendra C. Bhavsar:
Mining Association Rules from Multi-stream Time Series Data on Multiprocessor Systems. ISPA 2005: 662-667 - 2004
- [j7]