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Kouzou Ohara
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2020 – today
- 2023
- [c72]Yuna Saka, Yoshiyuki Shoji
, Hiroaki Ohshima
, Kouzou Ohara
:
Digital Index Card Creation and Management for Memorizing What You See on the Web. iiWAS 2023: 541-546 - 2022
- [c71]Kengo Murata
, Seiya Ito
, Kouzou Ohara
:
Learning and Transforming General Representations to Break Down Stability-Plasticity Dilemma. ACCV (6) 2022: 544-560 - 2021
- [j17]Kazumi Saito, Takayasu Fushimi, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Efficient computation of target-oriented link criticalness centrality in uncertain graphs. Intell. Data Anal. 25(5): 1323-1343 (2021) - [j16]Takayasu Fushimi
, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
General framework of opening and closing shops over a spatial network based on stochastic utility under competitive and time-bounded environment. Soc. Netw. Anal. Min. 11(1): 70 (2021) - 2020
- [j15]Kouzou Ohara
, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes. Int. J. Data Sci. Anal. 9(2): 175-195 (2020) - [c70]Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Opening and Closing Dynamics of Competing Shop Groups over Spatial Networks. ASONAM 2020: 393-400 - [c69]Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain Graph. IEEE BigData 2020: 916-923 - [c68]Kengo Murata, Tetsuya Toyota, Kouzou Ohara:
What is Happening Inside a Continual Learning Model? - A Representation-Based Evaluation of Representational Forgetting -. CVPR Workshops 2020: 952-956 - [c67]Kouzou Ohara, Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links. DS 2020: 421-436
2010 – 2019
- 2019
- [j14]Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Critical Node Identification based on Articulation Point Detection for Uncertain Network. Int. J. Netw. Comput. 9(2): 201-216 (2019) - [j13]Masayuki Numao, Yutaka Matsuo, Kouzou Ohara, Fujio Toriumi
:
Renewal of the Major Fields from New Generation Computing Vol. 37 (2019). New Gener. Comput. 37(1): 1-3 (2019) - [c66]Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network. DS 2019: 428-442 - [c65]Tomoaki Yamazaki, Tetsuya Toyota, Kouzou Ohara:
Constructing Dataset Based on Concept Hierarchy for Evaluating Word Vectors Learned from Multisense Words. PKAW 2019: 81-96 - [c64]Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Efficient Identification of Critical Links Based on Reachability Under the Presence of Time Constraint. PRICAI (2) 2019: 404-418 - [e1]Kouzou Ohara, Quan Bai:
Knowledge Management and Acquisition for Intelligent Systems - 16th Pacific Rim Knowledge Acquisition Workshop, PKAW 2019, Cuvu, Fiji, August 26-27, 2019, Proceedings. Lecture Notes in Computer Science 11669, Springer 2019, ISBN 978-3-030-30638-0 [contents] - 2018
- [j12]Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Which is more influential, "Who" or "When" for a user to rate in online review site? Intell. Data Anal. 22(3): 639-657 (2018) - [j11]Kazumi Saito
, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Accurate and efficient detection of critical links in network to minimize information loss. J. Intell. Inf. Syst. 51(2): 235-255 (2018) - [c63]Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Critical Node Identification Based on Articulation Point Detection for Network with Uncertain Connectivity. CANDAR 2018: 146-152 - [c62]Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Critical Link Identification Based on Bridge Detection for Network with Uncertain Connectivity. ISMIS 2018: 89-99 - [c61]Haruya Umemoto, Tetsuya Toyota, Kouzou Ohara:
k-NN Based Forecast of Short-Term Foreign Exchange Rates. PKAW 2018: 139-153 - [c60]Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Efficient Detection of Critical Links to Maintain Performance of Network with Uncertain Connectivity. PRICAI (1) 2018: 282-295 - [i3]Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara:
Sample Reuse via Importance Sampling in Information Geometric Optimization. CoRR abs/1805.12388 (2018) - 2017
- [c59]Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Maximizing Network Performance Based on Group Centrality by Creating Most Effective k-Links. DSAA 2017: 561-570 - [c58]Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
Discovering Cooperative Structure Among Online Items for Attention Dynamics. ICDM Workshops 2017: 1033-1041 - [c57]Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network. ISMIS 2017: 116-126 - 2016
- [j10]Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
Speeding-up node influence computation for huge social networks. Int. J. Data Sci. Anal. 1(1): 3-16 (2016) - [j9]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Super mediator - A new centrality measure of node importance for information diffusion over social network. Inf. Sci. 329: 985-1000 (2016) - [c56]Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Accelerating Computation of Distance Based Centrality Measures for Spatial Networks. DS 2016: 376-391 - [c55]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability. PRICAI 2016: 419-432 - 2015
- [j8]Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Change point detection for burst analysis from an observed information diffusion sequence of tweets. J. Intell. Inf. Syst. 44(2): 243-269 (2015) - [c54]Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
Combining activity-evaluation information with NMF for trust-link prediction in social media. IEEE BigData 2015: 2263-2272 - [c53]Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Change Point Detection for Information Diffusion Tree. Discovery Science 2015: 161-169 - [c52]Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara:
Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling. GECCO 2015: 305-312 - [c51]Dai Hasegawa, Shinichi Shirakawa, Naoya Shioiri, Toshiki Hanawa, Hiroshi Sakuta, Kouzou Ohara:
The Effect of Metaphoric Gestures on Schematic Understanding of Instruction Performed by a Pedagogical Conversational Agent. HCI (24) 2015: 361-371 - [c50]Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network. PAKDD (1) 2015: 135-147 - [c49]Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Efficient Learning of User Conformity on Review Score. SBP 2015: 182-192 - 2014
- [c48]Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Resampling-Based Framework for Estimating Node Centrality of Large Social Network. Discovery Science 2014: 228-239 - [c47]Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
Efficient analysis of node influence based on SIR model over huge complex networks. DSAA 2014: 216-222 - [c46]Keito Hatta, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
Analyzing Mediator-Activity Effects for Trust-Network Evolution in Social Media. PRICAI 2014: 297-308 - [c45]Yuki Yamagishi, Seiya Okubo, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
A Method to Divide Stream Data of Scores over Review Sites. PRICAI 2014: 913-919 - [c44]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
A New Approach for Item Ranking Based on Review Scores Reflecting Temporal Trust Factor. SBP 2014: 161-168 - 2013
- [j7]Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
Learning to predict opinion share and detect anti-majority opinionists in social networks. J. Intell. Inf. Syst. 41(1): 5-37 (2013) - [j6]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Detecting changes in information diffusion patterns over social networks. ACM Trans. Intell. Syst. Technol. 4(3): 55:1-55:23 (2013) - [c43]Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes. ACML 2013: 149-164 - [c42]Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Detecting changes in content and posting time distributions in social media. ASONAM 2013: 572-578 - [c41]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Identifying Super-Mediators of Information Diffusion in Social Networks. Discovery Science 2013: 170-184 - [c40]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Which Targets to Contact First to Maximize Influence over Social Network. SBP 2013: 359-367 - 2012
- [j5]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Efficient discovery of influential nodes for SIS models in social networks. Knowl. Inf. Syst. 30(3): 613-635 (2012) - [c39]Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Burst Detection in a Sequence of Tweets Based on Information Diffusion Model. Discovery Science 2012: 239-253 - [c38]Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
Opinion Formation by Voter Model with Temporal Decay Dynamics. ECML/PKDD (2) 2012: 565-580 - [c37]Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Effect of In/Out-Degree Correlation on Influence Degree of Two Contrasting Information Diffusion Models. SBP 2012: 131-138 - [c36]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Graph embedding on spheres and its application to visualization of information diffusion data. WWW (Companion Volume) 2012: 1137-1144 - [i2]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Learning Asynchronous-Time Information Diffusion Models and its Application to Behavioral Data Analysis over Social Networks. CoRR abs/1204.4528 (2012) - 2011
- [j4]Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
Learning information diffusion model in a social network for predicting influence of nodes. Intell. Data Anal. 15(4): 633-652 (2011) - [c35]Takayasu Fushimi, Yamato Kubota, Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Speeding Up Bipartite Graph Visualization Method. Australasian Conference on Artificial Intelligence 2011: 697-706 - [c34]Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model. Discovery Science 2011: 150-164 - [c33]Kazumi Saito, Kouzou Ohara, Yuki Yamagishi
, Masahiro Kimura, Hiroshi Motoda:
Learning Diffusion Probability Based on Node Attributes in Social Networks. ISMIS 2011: 153-162 - [c32]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Detecting Changes in Opinion Value Distribution for Voter Model. SBP 2011: 89-96 - [c31]Yuki Yamagishi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Learning Attribute-weighted Voter Model over Social Networks. ACML 2011: 263-280 - [c30]Akihiro Koide, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Estimating Diffusion Probability Changes for AsIC-SIS Model. ACML 2011: 297-313 - [i1]Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Efficient Detection of Hot Span in Information Diffusion from Observation. CoRR abs/1110.2659 (2011) - 2010
- [c29]Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
Learning to Predict Opinion Share in Social Networks. AAAI 2010: 1364-1370 - [c28]Kouzou Ohara, Yu Fujimoto
, Tomofumi Shiina:
Recommendation of Little Known Good Travel Destinations Using Word-of-Mouth Information on the Web. AMT 2010: 183-190 - [c27]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Discovery of Super-Mediators of Information Diffusion in Social Networks. Discovery Science 2010: 144-158 - [c26]Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, Kouzou Ohara:
Finding Relation between PageRank and Voter Model. PKAW 2010: 208-222 - [c25]Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara, Masahiro Kimura:
Acquiring Expected Influence Curve from Single Diffusion Sequence. PKAW 2010: 273-287 - [c24]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Selecting Information Diffusion Models over Social Networks for Behavioral Analysis. ECML/PKDD (3) 2010: 180-195 - [c23]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay. PRICAI 2010: 244-255 - [c22]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Behavioral Analyses of Information Diffusion Models by Observed Data of Social Network. SBP 2010: 149-158 - [c21]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Generative Models of Information Diffusion with Asynchronous Timedelay. ACML 2010: 193-208
2000 – 2009
- 2009
- [c20]Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis. ACML 2009: 322-337 - 2008
- [j3]Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda:
DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm. IEEE Trans. Knowl. Data Eng. 20(3): 300-320 (2008) - [c19]Kouzou Ohara, Masahiro Hara, Kiyoto Takabayashi, Hiroshi Motoda, Takashi Washio:
Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining. PKAW 2008: 50-60 - 2007
- [j2]Noboru Babaguchi, Kouzou Ohara, Takehiro Ogura:
Learning Personal Preference From Viewer's Operations for Browsing and Its Application to Baseball Video Retrieval and Summarization. IEEE Trans. Multim. 9(5): 1016-1025 (2007) - 2006
- [c18]Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda, Takashi Washio:
Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction. PAKDD 2006: 390-399 - [c17]Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio:
Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search. PKAW 2006: 64-74 - 2005
- [j1]Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Hideto Yokoi, Katsuhiko Takabayashi:
Constructing a Decision Tree for Graph-Structured Data and its Applications. Fundam. Informaticae 66(1-2): 131-160 (2005) - [c16]Tetsuya Yoshida, Akira Mogi, Kouzou Ohara, Hiroshi Motoda, Takashi Washio:
Refining diagnostic knowledge extracted from interferon therapy by graph-based induction. AMT 2005: 63-68 - [c15]Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda:
Efficient Mining of High Branching Factor Attribute Trees. ICDM 2005: 785-788 - [c14]Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio:
Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data. PAKDD 2005: 639-649 - 2004
- [c13]Kouzou Ohara, Yukio Onishi, Noboru Babaguchi, Hiroshi Motoda:
Constructive Inductive Learning Based on Meta-attributes. Discovery Science 2004: 142-154 - [c12]Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi, Katsuhiko Takabayashi:
Analysis of Hepatitis Dataset by Decision Tree Based on Graph-Based Induction. JSAI Workshops 2004: 5-28 - [c11]Phu Chien Nguyen, Takashi Washio, Kouzou Ohara, Hiroshi Motoda:
Using a Hash-Based Method for Apriori-Based Graph Mining. PKDD 2004: 349-361 - 2003
- [c10]Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi, Katsuhiko Takabayashi:
Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction. Active Mining 2003: 126-151 - [c9]Kouzou Ohara, Takehiro Ogura, Noboru Babaguchi:
On Personalizing Video Portal System with Metadata. KES 2003: 1062-1069 - 2000
- [c8]Kouichi Katsurada, Kouzou Ohara, Noboru Babaguchi, Tadahiro Kitahashi:
On Operations for Reconstructing the Complete/Incomplete Knowledge. EJC 2000: 41-51 - [c7]Kouichi Katsurada, Makoto Koyama, Kouzou Ohara, Noboru Babaguchi, Tadahiro Kitahashi:
Converting Ordinary Rules into Default Rules Based on Contradiction of Knowledge Base. EJC 2000: 248-258 - [c6]Kouzou Ohara, Noboru Babaguchi, Tadahiro Kitahashi:
An Efficient Hypothesis Search Algorithm Based on Best-Bound Search. ILP Work-in-progress reports 2000 - [c5]Kouzou Ohara, Hideyuki Taka, Noboru Babaguchi, Tadahiro Kitahashi:
Determination of General Concept in Learning Default Rules. PRICAI 2000: 104-114
1990 – 1999
- 1998
- [c4]Kouichi Katsurada, Makoto Koyama, Kouzou Ohara, Noboru Babaguchi, Tadahiro Kitahashi:
Solving contradiction in knowledge-base without interaction. SMC 1998: 1546-1551 - [c3]Kouzou Ohara, Noboru Babaguchi, Tadahiro Kitahashi:
Non-monotonic inference system handling knowledge allowing classified exceptions. SMC 1998: 1558-1563 - 1996
- [c2]Kouzou Ohara, Noboru Babaguchi, Tadahiro Kitahashi:
A Query Procedure for Allowing Exceptions in Advanced Logical Database. IEA/AIE 1996: 127-134 - [c1]Kouzou Ohara, Noboru Babaguchi, Tadahiro Kitahashi:
On Formation of Exception Hierarchy. PRICAI 1996: 534-545
Coauthor Index
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