S. Tsumoto

Shoji Hirano, Shusaku Tsumoto, S. Tsumoto, 2003, 22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003.

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Shusaku Tsumoto, Shoji Hirano, Xiaoguang Sun, 2002, Proceedings 26th Annual International Computer Software and Applications.

Multiscale Comparison of Temporal Patternsin Time-Series Medical Databases

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2002, PKDD.

Mining Interesting Patterns in Time-series Medical Databases: A Hybrid Approach of Multiscale Matching and Rough Clustering

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2002, AMIA.

Information Granules for Spatial Reasoning

Shusaku Tsumoto, Andrzej Skowron, Jaroslaw Stepaniuk, 2001, PAKDD.

Knowledge discovery in clinical databases based on variable precision rough set model.

S Tsumoto, W Ziarko, N Shan, 1995, Proceedings. Symposium on Computer Applications in Medical Care.

Mining Clinical Process from Hospital Information System: A Granular Computing Approach

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2021, Fundam. Informaticae.

Rule and matroid theory

Shusaku Tsumoto, S. Tsumoto, 2002, Proceedings 26th Annual International Computer Software and Applications.

A Common Algebraic Framework of Empirical Learning Methods Based on Rough Sets and Matroid Theory

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1996, Fundam. Informaticae.

Characterization of Relevance and Irrelevance in Empirical Learning Methods based on Rough Sets and Matroid Theory

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1994 .

AQ, Rough Sets, and Matroid Theory

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1993, RSKD.

Automated extraction of hierarchical decision rules from clinical databases using rough set model

Shusaku Tsumoto, S. Tsumoto, 2003, Expert Syst. Appl..

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2009, Fundam. Informaticae.

A method to characterize dataset based on objective rule evaluation indices

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2009, Defense + Commercial Sensing.

Comparing Accuracies of Rule Evaluation Models to Determine Human Criteria on Evaluated Rule Sets

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Finding Functional Groups of Objective Rule Evaluation Indices Using PCA

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2008, PAKM.

Investigating accuracies of rule evaluation models on randomized labeling and human evaluation

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2008, 2008 IEEE International Conference on Granular Computing.

Evaluating Learning Algorithms to Support Human Rule Evaluation with Predicting Interestingness Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2008, Communications and Discoveries from Multidisciplinary Data.

Analyzing Behavior of Objective Rule Evaluation Indices Based on a Correlation Coefficient

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2008, KES.

Analyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation Coefficient

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2008, ISMIS.

Analyzing Correlation Coefficients of Objective Rule Evaluation Indices on Classification Rules

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2008, RSKT.

Evaluating learning algorithms for a rule evaluation support method

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Evaluation of Learning Costs of Rule Evaluation Models Based on Objective Indices to Predict Human Hypothesis Construction Phases

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, 2007 IEEE International Conference on Granular Computing (GRC 2007).

Evaluating Learning Algorithms to Construct Rule Evaluation Models Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, 6th IEEE International Conference on Cognitive Informatics.

Evaluating Learning Costs to Predict Human Interests with Rule Evaluation Models based on Objective Indices

S. Tsumoto, H. Abe, H. Yokoi, 2007, 2007 IEEE/ICME International Conference on Complex Medical Engineering.

Evaluating Learning Algorithms to Support Human Rule - Evaluation Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, Data Sci. J..

Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, RSCTC.

Evaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, ISMIS.

Evaluating Learning Algorithms with Meta-learning Schemes for a Rule Evaluation Support Method Based on Objective Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, PKAW.

Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, PAKDD.

Evaluating Model Construction Methods with Objective Rule Evaluation Indices to Support Human Experts

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, MDAI.

Evaluating a rule evaluation support method with learning models based on objective rule evaluation indices - a case study with a meningitis data mining result

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

A Decison Support System Based on Congenital Malformation Image Databases

Shusaku Tsumoto, S. Tsumoto, 1998 .

Some Remarks on the Concept of Approximations from the View of Knowledge Engineering

Tsau Young Lin, Shusaku Tsumoto, Rushin Barot, 2010, Int. J. Cogn. Informatics Nat. Intell..

Consultation System for Diagnosis of Headache and Facial Pain: "RHINOS"

Shusaku Tsumoto, Yasushi Matsumura, Yusuke Maeda, 1986, LP.

Factors of Patient Satisfaction Based on Distant Analysis in HCAHPS Databases

Shusaku Tsumoto, Akira Yasuda, Masumi Okuda, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Exploratory Analysis of Factors of Patient Satisfaction in HCAHPS Databases

Shusaku Tsumoto, Akira Yasuda, Masumi Okuda, 2014, ICServ.

Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model

Shusaku Tsumoto, S. Tsumoto, 2004, Inf. Sci..

Statistical evidence for rough set analysis

Shusaku Tsumoto, S. Tsumoto, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

Evaluation of similarity measures for analysis of databases on laboratory examinations

Shusaku Tsumoto, Shoji Hirano, Xiaoguang Sun, 2002, SPIE Defense + Commercial Sensing.

Discovery of Clinical Knowledge in Hospital Information Systems: Two Case Studies

Shusaku Tsumoto, S. Tsumoto, 2000, ISMIS.

Clinical Knowledge Discovery in Hospital Information Systems: Two Case Studies

Shusaku Tsumoto, S. Tsumoto, 2000, PKDD.

Qualitative Simulation Based on Ranked Hyperreals

Shusaku Tsumoto, S. Tsumoto, 2010, 2010 IEEE International Conference on Granular Computing.

Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Transactions on Rough Sets XII

Shusaku Tsumoto, Roman Słowiński, James F. Peters, 2010, Lecture Notes in Computer Science.

Automated discovery of positive and negative knowledge in clinical databases.

S Tsumoto, S. Tsumoto, 2000, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

Accuracy and Coverage in Rough Set Rule Induction

Shusaku Tsumoto, S. Tsumoto, 2002, Rough Sets and Current Trends in Computing.

Qualitative fuzzy sets revisited: granulation on the space of membership functions

S. Tsumoto, T.Y. Lin, 2000, PeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH8500).

Data Mining in Meningoencephalitis: The Starting Point of Discovery Challenge

Shusaku Tsumoto, Katsuhiko Takabayashi, S. Tsumoto, 2011, ISMIS.

Editorial

V. Torra, S. Tsumoto, Y. Narukawa, 2007, J. Adv. Comput. Intell. Intell. Informatics.

Expectation–Maximization (EM) Clustering as a Preprocessing Method for Clinical Pathway Mining

S. Tsumoto, S. Hirano, Tomohiro Kimura, 2022, Rev. Socionetwork Strateg..

Finding Interesting Pass Patterns from Soccer Game Records

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2004, PKDD.

Visualization of Similarities and Dissimilarities Between Rules Using Multidimensional Scaling

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2007, KES.

Detection of Differences between Syntactic and Semantic Similarities

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2004, Rough Sets and Current Trends in Computing.

Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction

Shusaku Tsumoto, S. Tsumoto, 2001, PKDD.

Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model

Shusaku Tsumoto, S. Tsumoto, 2001, PKDD.

Rule Discovery in Large Time-Series Medical Databases

Shusaku Tsumoto, S. Tsumoto, 1999, PKDD.

Knowledge Discovery in Medical Multi-databases: A Rough Set Approach

Shusaku Tsumoto, S. Tsumoto, 1999, PKDD.

Discovery of Approximate Medical Knowledge Based on Rough Set Model

Shusaku Tsumoto, S. Tsumoto, 1998, PKDD.

Data Mining: From Medical Decision Support to Hospital Management

Shusaku Tsumoto, S. Tsumoto, 2012, Journeys to Data Mining.

Discovery of Positive and Negative Rules from Medical Databases Based on Rough Sets

Shusaku Tsumoto, S. Tsumoto, 2005 .

Discovery of Positive and Negative Knowledge in Medical Databases Using Rough Sets

Shusaku Tsumoto, S. Tsumoto, 2002, Progress in Discovery Science.

Discovery of approximate knowledge in medical databases based on rough set model

Shusaku Tsumoto, S. Tsumoto, 2002 .

Clinical Pathway Generation from Order Histories and Discharge Summaries

Haruko Iwata, Shusaku Tsumoto, Shoji Hirano, 2019, 2019 International Conference on Data Mining Workshops (ICDMW).

From Hospital Big Data to Clinical Process: A Granular Computing Approach

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Construction of Clinical Pathway Generation from Nursing Records and Discharge Summaries

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Clinical Pathway Generation Based on Hierarchical Clustering and EM Clustering

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Heart Disease Prediction System using Data Mining Techniques and Intelligent Fuzzy Approach: A Review

G. Narsimha, N. Subhash Chandra, V. Krishnaiah, 2016 .

Incremental Rules Induction Method Based on Three Rule Layers

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2012, ISMIS.

Context-Free Fuzzy Sets in Data Mining Context

Tsau Young Lin, Shusaku Tsumoto, S. Tsumoto, 1999, RSFDGrC.

Discovery of Rules about Complications

Shusaku Tsumoto, S. Tsumoto, 1999 .

Induction of Positive and Negative Deterministic Rules based on Rough Set Model

Shusaku Tsumoto, S. Tsumoto, 1997, ISMIS.

Validation of concept representation with rule induction and linguistic variables

Shusaku Tsumoto, S. Tsumoto, 2002 .

Analytics for Hospital Management

Shoji Hirano, Shusaku Tsumoto, S. Tsumoto, 2015, ASE BD&SI.

Estimation of Service Quality of a Hospital Information System Using a Service Log

S. Tsumoto, Toshihiko Kawamura, Tomohiro Kimura, 2014, Rev. Socionetwork Strateg..

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2014, Future Gener. Comput. Syst..

Multidimensional temporal mining in clinical data

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2012, IHI '12.

Capturing Behavior of Medical Staff: A Similarity-Oriented Temporal Data Mining Approach

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2011, FGIT.

Correlation and Regression Analysis for Characterizations of a University Hospital

Shusaku Tsumoto, Yuko Tsumoto, S. Tsumoto, 2011, Rev. Socionetwork Strateg..

Exploratory Univariate Analysis on the Characterization of a University Hospital: A Preliminary Step to Data-Mining-Based Hospital Management Using an Exploratory Univariate Analysis of a University Hospital

Shusaku Tsumoto, Yuko Tsumoto, S. Tsumoto, 2010, Rev. Socionetwork Strateg..

Statistical Independence and Determinants in a Contingency Table - Interpretation of Pearson Residuals based on Linear Algebra -

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2009, Fundam. Informaticae.

Detection of Risk Factors as Temporal Data Mining

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2009, PAKDD Workshops.

Application of data mining to medical risk management

Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama, 2006, SPIE Defense + Commercial Sensing.

Risk Mining: Mining Nurses' Incident Factors and Application of Mining Results to Prevention of Incidents

Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama, 2006, RSCTC.

Risk Mining for Infection Control

Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama, 2008, Communications and Discoveries from Multidisciplinary Data.

Analysis of Hospital Management Data using Generalized Linear Model

Yuko Tsumoto, Shusaku Tsumoto, S. Tsumoto, 2007 .

Order Trajectory Analysis for Monitoring Clinical Process

S. Tsumoto, S. Hirano, Tomohiro Kimura, 2021, The Review of Socionetwork Strategies.

Order Trajectory Analysis in Hospital Information System*

S. Tsumoto, S. Hirano, Tomohiro Kimura, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Detection of risk factors using trajectory mining

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2011, Journal of Intelligent Information Systems.

Multiscale Comparison and Clustering of Three-Dimensional Trajectories Based on Curvature Maxima

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2010, Int. J. Inf. Technol. Decis. Mak..

Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic

Shusaku Tsumoto, S. Tsumoto, 2000, Inf. Sci..

S. Tsumoto, S. Hirano, Tomohiro Kimura, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Temporal Data Mining in AI-based Patient Navigation Service

S. Tsumoto, S. Hirano, K. Yada, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Clustering-based analysis in hospital information systems

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2011, 2011 IEEE International Conference on Granular Computing.

Towards Data-Oriented Hospital Services: Data Mining-Based Hospital Management

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2010, 2010 IEEE International Conference on Data Mining Workshops.

A "Ubiquitous Environment" through Wireless Voice/Data Communication and a Fully Computerized Hospital Information System in a University Hospital

Shusaku Tsumoto, Eisuke Hanada, Shotai Kobayashi, 2010, E-HEALTH.

Empirical Comparison of Similarities for Agglomerative Hierarchical Clustering

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Empirical Comparison of Distances for Agglomerative Hierarchical Clustering

Shusaku Tsumoto, Haruko Iwata, Tomohiro Kimura, 2018, IPMU.

Dual Clustering for Clinical Care Construction

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2016, 2016 IEEE International Conference on Healthcare Informatics (ICHI).

Incremental Updates of Rough Set-Based Probabilistic Rules

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2016, 2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN).

Rule Mining Based on Nonmonotonic Rule Layers and Its Application to Medicine

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Granular formalization of medical diagnostic process

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Healthcare IT: Integration of consumer healthcare data and electronic medical records for chronic disease management

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2014, 2014 IEEE International Conference on Granular Computing (GrC).

Towards Data-Oriented Schedule Management in Hospital

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2014, 2014 Annual SRII Global Conference.

Mining Clinical Pathway Using Clustering and Rule Induction

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Clinical Schedule Management Using Similarity-Based Mining Methods

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2013, 2013 IEEE International Conference on Healthcare Informatics.

Mining nursing care plan from data extracted from hospital information system

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

Clinical schedule management based on granularity-based mining

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2013, 2013 IEEE International Conference on Cybernetics (CYBCO).

Data-oriented maintenance of clinical pathway using clustering and multidimensional scaling

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Trajectories mining in hospital information systems

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Data-Oriented Construction and Maintenance of Clinical Pathway Using Similarity-Based Data Mining Methods

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Construction and maintenance of clinical pathways using data mining methods

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2012, MIXHS '12.

Temporal Data Mining for Nursing Schedule Management

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2012, 2012 Third International Conference on Innovations in Bio-Inspired Computing and Applications.

Exploratory temporal data mining process in hospital information systems

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2012, 2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing.

Visualization of doctors' behavior using similarity-based methods

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2012, 2012 IEEE International Conference on Granular Computing.

Characterizing Hospital Services Using Temporal Data Mining

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2012, 2012 Annual SRII Global Conference.

Temporal data mining of order entry histories for characterization of medical practice

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).

Visualization of Hospital Services Using Data Mining Methods

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Temporal data mining in history data of hospital information systems

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Information reuse in hospital information systems: A data mining approach

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2011, 2011 IEEE International Conference on Information Reuse & Integration.

Towards data-oriented hospital services: Data mining in hospital information systems

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2011, The 2011 IEEE/ICME International Conference on Complex Medical Engineering.

Towards Data-Oriented Hospital Services: Data Mining in Hospital Management

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2011, 2011 Annual SRII Global Conference.

Mining Schedule of Nursing Care Based on Dual-Clustering

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2015, ITQM.

Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence

Shusaku Tsumoto, Andrzej Skowron, Guoyin Wang, 2013, Rough Sets and Intelligent Systems.

Automated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1996, KDD.

Induction of Expert System Rules from Databases Based on Rough Set Theory and Resampling Methods

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1996, ISMIS.

Automated Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1995, KDD.

PRIMEROSE: PROBABILISTIC RULE INDUCTION METHOD BASED ON ROUGH SETS AND RESAMPLING METHODS

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1995, Comput. Intell..

PRIMEROSE: Probabilistic Rule Induction Method Based on Rough Set Theory

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1993, RSKD.

Incremental learning of probabilistic rules from clinical databases based on rough set theory

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1997, AMIA.

Machine Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1996, Intell. Autom. Soft Comput..

Induction of medical expert system rules based on rough sets and resampling methods.

S Tsumoto, H Tanaka, S. Tsumoto, 1994, Proceedings. Symposium on Computer Applications in Medical Care.

Contingency Matrix Theory - Investigation of Information Granules in Statistics -

S. Tsumoto, S. Hirano, 2008 .

Prospective clinical trial evaluating vulnerability and chemotherapy risk using geriatric assessment tools in older patients with lung cancer

S. Tsumoto, T. Isobe, N. Kurimoto, 2019, Geriatrics & gerontology international.

Web based medical decision support system for neurological diseases

Shusaku Tsumoto, S. Tsumoto, 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

Mining Diagnostic Taxonomy for Multi-Stage Medical Diagnosis

S Tsumoto, S. Tsumoto, 2004 .

Analysis of Relationship between Blood Stream Infection and Clinical Background in Patients' Lactobacillus Therapy by Data Mining

Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama, 2007, ICDM Workshops.

Granular Rules for Medical Diagnosis

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2019, IFSA/NAFIPS.

How Shoppers Walk and Shop in a Supermarket

S. Tsumoto, K. Yada, Taku Ohashi, 2020, 2020 International Conference on Data Mining Workshops (ICDMW).

Goal-Driven Structured Argumentation for Patient Management in a Multimorbidity Setting

Paulo Novais, Tiago Oliveira, Jérémie Dauphin, 2020, CLAR.

Argumentation with Goals for Clinical Decision Support in Multimorbidity

Shusaku Tsumoto, Paulo Novais, Ken Satoh, 2018, AAMAS.

Improving a rule evaluation support method based on objective indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2010, Int. J. Adv. Intell. Paradigms.

Evaluating a Constructive Meta-learning Algorithm for a Rule Evaluation Support Method Based on Objective Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, KES.

Rule induction methods with hierachical sampling

Shusaku Tsumoto, S. Tsumoto, 2011, IEEE 10th International Conference on Cognitive Informatics and Cognitive Computing (ICCI-CC'11).

Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Testing

Shusaku Tsumoto, Shoji Hirano, Hidenao Abe, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Matryoshka Principle for Rule Mining Selection

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2016 .

Linear Independence in Contingency Table

Shusaku Tsumoto, S. Tsumoto, 2005, RSFDGrC.

Statistical Independence from the Viewpoint of Linear Algebra

Shusaku Tsumoto, S. Tsumoto, 2005, ISMIS.

An Approach to Statistical Extention of Rough Set Rule Induction

Shusaku Tsumoto, S. Tsumoto, 2000, Rough Sets and Current Trends in Computing.

Perspectives on eBrain and Cognitive Computing

Shusaku Tsumoto, Yingxu Wang, Witold Kinsner, 2012, Int. J. Cogn. Informatics Nat. Intell..

Comparing order entry subsequences related to CPOE correction factors

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).

Segmentation of Medical Images Based on Approximations in Rough Set Theory

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2002, Rough Sets and Current Trends in Computing.

Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (I)

Shusaku Tsumoto, Yingxu Wang, Du Zhang, 2009, Fundam. Informaticae.

Foundations of Intelligent Systems, 15th International Symposium, ISMIS 2005, Saratoga Springs, NY, USA, May 25-28, 2005, Proceedings

S. Tsumoto, Mohand-Said Hacid, Z. Ras, 2005, ISMIS.

A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2005, RSFDGrC.

A knowledge-oriented clustering technique based on rough sets

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2001, 25th Annual International Computer Software and Applications Conference. COMPSAC 2001.

Modelling Medical Diagnostic Rules Based on Rough Sets

Shusaku Tsumoto, S. Tsumoto, 1998, Rough Sets and Current Trends in Computing.

Modeling Decisions for Artificial Intelligence

Vicenç Torra, Guillermo Navarro-Arribas, Yasuo Narukawa, 2014, Lecture Notes in Computer Science.