| 2020 | DIS | Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links. | Kouzou Ohara, Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2019 | DIS | Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network. | Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2019 | PRICAI | Efficient Identification of Critical Links Based on Reachability Under the Presence of Time Constraint. | Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2018 | ISMIS | Critical Link Identification Based on Bridge Detection for Network with Uncertain Connectivity. | Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2018 | PRICAI | Efficient Detection of Critical Links to Maintain Performance of Network with Uncertain Connectivity. | Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2017 | DSAA | Maximizing Network Performance Based on Group Centrality by Creating Most Effective k-Links. | Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2017 | ICDM | Discovering Cooperative Structure Among Online Items for Attention Dynamics. | Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda |
| 2017 | ISMIS | An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network. | Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2016 | DIS | Accelerating Computation of Distance Based Centrality Measures for Spatial Networks. | Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2016 | PRICAI | Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability. | Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda |
| 2015 | DIS | Change Point Detection for Information Diffusion Tree. | Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2015 | PAKDD | Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network. | Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2014 | DIS | Resampling-Based Framework for Estimating Node Centrality of Large Social Network. | Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2014 | DSAA | Efficient analysis of node influence based on SIR model over huge complex networks. | Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda |
| 2014 | DSAA | Welcome from DSAA 2014 chairs. | Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang |
| 2014 | PRICAI | Analyzing Mediator-Activity Effects for Trust-Network Evolution in Social Media. | Keito Hatta, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda |
| 2014 | PRICAI | A Method to Divide Stream Data of Scores over Review Sites. | Yuki Yamagishi, Seiya Okubo, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2013 | ACML | Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes. | Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2013 | DIS | Identifying Super-Mediators of Information Diffusion in Social Networks. | Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda |
| 2012 | DIS | Burst Detection in a Sequence of Tweets Based on Information Diffusion Model. | Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2012 | PKAW | Network Analysis of Three Twitter Functions: Favorite, Follow and Mention. | Shoko Kato, Akihiro Koide, Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda |
| 2012 | WWW | Graph embedding on spheres and its application to visualization of information diffusion data. | Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda |
| 2011 | DIS | Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model. | Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda |
| 2011 | ISMIS | Learning Diffusion Probability Based on Node Attributes in Social Networks. | Kazumi Saito, Kouzou Ohara, Yuki Yamagishi, Masahiro Kimura, Hiroshi Motoda |
| 2010 | AAAI | Learning to Predict Opinion Share in Social Networks. | Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda |
| 2010 | DIS | Discovery of Super-Mediators of Information Diffusion in Social Networks. | Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda |
| 2010 | PKAW | Finding Relation between PageRank and Voter Model. | Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, Kouzou Ohara |
| 2010 | PKAW | Acquiring Expected Influence Curve from Single Diffusion Sequence. | Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara, Masahiro Kimura |
| 2010 | PRICAI | Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay. | Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda |
| 2009 | ACML | Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis. | Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda |
| 2009 | DIS | Discovering Influential Nodes for SIS Models in Social Networks. | Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2009 | IJCAI | Efficient Estimation of Influence Functions for SIS Model on Social Networks. | Masahiro Kimura, Kazumi Saito, Hiroshi Motoda |
| 2008 | AAAI | Minimizing the Spread of Contamination by Blocking Links in a Network. | Masahiro Kimura, Kazumi Saito, Hiroshi Motoda |
| 2008 | IJCNN | Community analysis of influential nodes for information diffusion on a social network. | Masahiro Kimura, Kazumasa Yamakawa, Kazumi Saito, Hiroshi Motoda |
| 2008 | PKAW | What Does an Information Diffusion Model Tell about Social Network Structure?. | Takayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2008 | PKAW | Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining. | Kouzou Ohara, Masahiro Hara, Kiyoto Takabayashi, Hiroshi Motoda, Takashi Washio |
| 2008 | PRICAI | Solving the Contamination Minimization Problem on Networks for the Linear Threshold Model. | Masahiro Kimura, Kazumi Saito, Hiroshi Motoda |
| 2007 | WWW | Search engine retrieval of changing information. | Yang Sok Kim, Byeong Ho Kang, Paul Compton, Hiroshi Motoda |
| 2006 | ICDM | A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis. | Kenta Fukata, Takashi Washio, Hiroshi Motoda |
| 2006 | PAKDD | Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction. | Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda, Takashi Washio |
| 2006 | PKAW | Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search. | Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio |
| 2005 | DIS | SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos. | Takashi Washio, Fuminori Adachi, Hiroshi Motoda |
| 2005 | ICDM | Efficient Mining of High Branching Factor Attribute Trees. | Alexandre Termier, Marie-Christine Rousset, Michle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda |
| 2005 | ICDM | Mining Quantitative Frequent Itemsets Using Adaptive Density-Based Subspace Clustering. | Takashi Washio, Yuki Mitsunaga, Hiroshi Motoda |
| 2005 | IJCAI | Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics. | Takashi Washio, Fuminori Adachi, Hiroshi Motoda |
| 2005 | PAKDD | Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data. | Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio |
| 2004 | DIS | Constructive Inductive Learning Based on Meta-attributes. | Kouzou Ohara, Yukio Onishi, Noboru Babaguchi, Hiroshi Motoda |
| 2004 | KDD | Density-based spam detector. | Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki |
| 2004 | KES | Consumer Behavior Analysis by Graph Mining Technique. | Katsutoshi Yada, Hiroshi Motoda, Takashi Washio, Asuka Miyawaki |
| 2004 | PAKDD | Compact Dual Ensembles for Active Learning. | Amit Mandvikar, Huan Liu, Hiroshi Motoda |
| 2003 | DIS | Performance Evaluation of Decision Tree Graph-Based Induction. | Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio |
| 2003 | ISMIS | Development of Generic Search Method Based on Transformation Invariance. | Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Atsushi Fujimoto, Hidemitsu Hanafusa |
| 2003 | PAKDD | Classifier Construction by Graph-Based Induction for Graph-Structured Data. | Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio |
| 2003 | PAKDD | Active Feature Selection Using Classes. | Huan Liu, Lei Yu, Manoranjan Dash, Hiroshi Motoda |
| 2002 | DIS | Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction. | Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio |
| 2002 | ICDM | Adaptive Ripple Down Rules Method based on Minimum Description Length Principle. | Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio |
| 2002 | ICML | Feature Selection with Selective Sampling. | Huan Liu, Hiroshi Motoda, Lei Yu |
| 2002 | PRICAI | Case Generation Method for Constructing an RDR Knowledge Base. | Keisei Fujiwara, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio |
| 2002 | PRICAI | Knowledge Discovery from Structured Data by Beam-Wise Graph-Based Induction. | Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio |
| 2002 | PRICAI | Extension of the RDR Method That Can Adapt to Environmental Changes and Acquire Knowledge from Both Experts and Data. | Takuya Wada, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio |
| 2001 | IDA | S | Masahiro Terabe, Takashi Washio, Hiroshi Motoda |
| 2001 | PAKDD | Knowledge Acquisition from Both Human Expert and Data. | Takuya Wada, Hiroshi Motoda, Takashi Washio |
| 2000 | DIS | Graph-Based Induction for General Graph Structured Data and Its Application to Chemical Compound Data. | Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio |
| 2000 | ICML | Enhancing the Plausibility of Law Equation Discovery. | Takashi Washio, Hiroshi Motoda, Yuji Niwa |
| 2000 | PAKDD | Consistency Based Feature Selection. | Manoranjan Dash, Huan Liu, Hiroshi Motoda |
| 2000 | PAKDD | Extension of Graph-Based Induction for General Graph Structured Data. | Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio |
| 1999 | DIS | Feature Selection Using Consistency Measure. | Manoranjan Dash, Huan Liu, Hiroshi Motoda |
| 1999 | DIS | Derivation of the Topology Structure from Massive Graph Data. | Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda |
| 1999 | DIS | Graph-Based Induction for General Graph Structured Data. | Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio, Kohei Kumazawa, Naohide Arai |
| 1999 | IJCAI | Discovering Admissible Model Equations from Observed Data Based on Scale-Types and Identity Constrains. | Takashi Washio, Hiroshi Motoda, Yuji Niwa |
| 1999 | PAKDD | Basket Analysis for Graph Structured Data. | Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda, Kouhei Kumasawa, Naohide Arai |
| 1999 | PAKDD | Computer Assisted Discovery of First Principle Equations from Numeric Data (Abstract). | Hiroshi Motoda |
| 1999 | PAKDD | A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree. | Masahiro Terabe, Osamu Katai, Tetsuo Sawaragi, Takashi Washio, Hiroshi Motoda |
| 1999 | PAKDD | Characterization of Default Knowledge in Ripple Down Rules Method. | Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio |
| 1998 | AAAI | Discovering Admissible Simultaneous Equations of Large Scale Systems. | Takashi Washio, Hiroshi Motoda |
| 1998 | DIS | Development of SDS2: Smart Discovery System for Simultaneous Equation Systems. | Takashi Washio, Hiroshi Motoda |
| 1998 | PAKDD | Mining Association Rules for Estimation and Prediction. | Takashi Washio, Hiroshi Motoda |
| 1997 | IJCAI | Machine Learning Techniques to Make Computers Easier to Use. | Hiroshi Motoda, Kenichi Yoshida |
| 1997 | IJCAI | Discovering Admissible Models of Complex Systems Based on Scale-Types and Idemtity Constraints. | Takashi Washio, Hiroshi Motoda |
| 1996 | PRICAI | A History-Oriented Envisioning Method. | Takashi Washio, Hiroshi Motoda |
| 1996 | USENIX | Process Labeled Kernel Profiling: A New Facility to Profile System Activities. | Shingo Nishioka, Atsuo Kawaguchi, Hiroshi Motoda |
| 1995 | USENIX | A Flash-Memory Based File System. | Atsuo Kawaguchi, Shingo Nishioka, Hiroshi Motoda |
| 1994 | AAAI | How Things Appear to Work: Predicting Behaviors from Device Diagrams. | N. Hari Narayanan, Masaki Suwa, Hiroshi Motoda |
| 1993 | ALT | A New Algorithm for Automatic Configuration of Hidden Markov Models. | Makoto Iwayama, Nitin Indurkhya, Hiroshi Motoda |
| 1993 | ALT | A Perceptual Criterion for Visually Controlling Learning. | Masaki Suwa, Hiroshi Motoda |
| 1993 | ALT | Unifying Learning Methods by Colored Digraphs. | Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya |
| 1991 | ALT | The use of abstract primitives in representing the meanings of "Verbs" for understanding metaphors. | Masaki Suwa, Hiroshi Motoda |
| 1983 | IJCAI | A Diagnosis Method of Dynamic System Using the Knowledge on System Description. | Naoyuki Yamada, Hiroshi Motoda |