Motoda, Hiroshi

29 publications

MLJ 2013 Introduction: Special Issue of Selected Papers of ACML 2012 Zhi-Hua Zhou, Wee Sun Lee, Steven C. H. Hoi, Wray L. Buntine, Hiroshi Motoda

ACML 2013 Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda

ECML-PKDD 2012 Opinion Formation by Voter Model with Temporal Decay Dynamics Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda

ACML 2011 Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results Akihiro Koide, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda

ACML 2011 Learning Attribute-Weighted Voter Model over Social Networks Yuki Yamagishi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda

ACML 2010 Generative Models of Information Diffusion with Asynchronous Timedelay Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda

AAAI 2010 Learning to Predict Opinion Share in Social Networks Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda

ECML-PKDD 2010 Selecting Information Diffusion Models over Social Networks for Behavioral Analysis Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda

IJCAI 2009 Efficient Estimation of Influence Functions for SIS Model on Social Networks Masahiro Kimura, Kazumi Saito, Hiroshi Motoda

ECML-PKDD 2008 Effective Visualization of Information Diffusion Process over Complex Networks Kazumi Saito, Masahiro Kimura, Hiroshi Motoda

AAAI 2008 Minimizing the Spread of Contamination by Blocking Links in a Network Masahiro Kimura, Kazumi Saito, Hiroshi Motoda

IJCAI 2005 Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics Takashi Washio, Fuminori Adachi, Hiroshi Motoda

MLJ 2004 Editorial: Data Mining Lessons Learned Nada Lavrac, Hiroshi Motoda, Tom Fawcett

MLJ 2004 Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving Nada Lavrac, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter W. Adriaans

MLJ 2003 Complete Mining of Frequent Patterns from Graphs: Mining Graph Data Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda

ICML 2002 Feature Selection with Selective Sampling Huan Liu, Hiroshi Motoda, Lei Yu

ECML-PKDD 2001 Discovering Admissible Simultaneous Equation Models from Observed Data Takashi Washio, Hiroshi Motoda, Yuji Niwa

ICML 2000 Enhancing the Plausibility of Law Equation Discovery Takashi Washio, Hiroshi Motoda, Yuji Niwa

IJCAI 1999 Discovering Admissible Model Equations from Observed Data Based on Scale-Types and Identity Constrains Takashi Washio, Hiroshi Motoda, Yuji Niwa

ECML-PKDD 1998 A Monotonic Measure for Optimal Feature Selection Huan Liu, Hiroshi Motoda, Manoranjan Dash

AAAI 1998 Discovering Admissible Simultaneous Equations of Large Scale Systems Takashi Washio, Hiroshi Motoda

IJCAI 1997 Discovering Admissible Models of Complex Systems Based on Scale-Types and Idemtity Constraints Takashi Washio, Hiroshi Motoda

IJCAI 1997 Machine Learning Techniques to Make Computers Easier to Use Hiroshi Motoda, Kenichi Yoshida

AAAI 1994 How Things Appear to Work: Predicting Behaviors from Device Diagrams N. Hari Narayanan, Masaki Suwa, Hiroshi Motoda

ALT 1993 A New Algorithm for Automatic Configuration of Hidden Markov Models Makoto Iwayama, Nitin Indurkhya, Hiroshi Motoda

ALT 1993 A Perceptual Criterion for Visually Controlling Learning Masaki Suwa, Hiroshi Motoda

ALT 1993 Unifying Learning Methods by Colored Digraphs Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya

ALT 1991 The Use of Abstract Primitives in Representing the Meanings of "Verbs" for Understanding Metaphors Masaki Suwa, Hiroshi Motoda

IJCAI 1983 A Diagnosis Method of Dynamic System Using the Knowledge on System Description Naoyuki Yamada, Hiroshi Motoda