Pawan Lingras

Vijay Mago

CoRR, 2024

Application of Operations Research methods in operating room scheduling - a short survey.

[BibT_eX]

[DOI]

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024

2023

A Survey on Technologies Used During out of Hospital Cardiac Arrest.

[BibT_eX]

[DOI]

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022

AEDNav: indoor navigation for locating automated external defibrillator.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2022

2020

SURF: identifying and allocating resources during Out-of-Hospital Cardiac Arrest.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2020

Modeling User Feedback: Fuzzy sampling, Portability, and Degree of Annoyance.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

A three-way cluster ensemble approach for large-scale data.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Effect of Maximizing Recall and Agglomeration of Feedback on Accuracy.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

Sampling Using Fuzzy and Crisp Clustering to Improve Recall of Building Comfort Feedback.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

Fuzzy Clustering Ensemble for Prioritized Sampling Based on Average and Rough Patterns.

[BibT_eX]

[DOI]

Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

2017

Clustering Ensemble for Prioritized Sampling Based on Average and Rough Patterns.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Nonlinear classification, linear clustering, evolutionary semi-supervised three-way decisions: A comparison.

[BibT_eX]

[DOI]

Glavin Wiechert

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

Meta-clustering of possibilistically segmented retail datasets.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2016

Book Review: Cognitive Computing: Theory and Applications.

[BibT_eX]

[DOI]

IEEE Intell. Informatics Bull., 2016

Advances in Rough and Soft Clustering: Meta-Clustering, Dynamic Clustering, Data-Stream Clustering.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2016

Evolutionary semi-supervised rough categorization of brain signals from a wearable headband.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Identifying users and activities with cognitive signal processing from a wearable headband.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Cognitive Informatics & Cognitive Computing , 2016

2015

Fuzzy and Crisp Recursive Profiling of Online Reviewers and Businesses.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2015

Semantically Segmented Clustering Based on Possibilistic and Rough Set Theories.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2015

Partially ordered rough ensemble clustering for multigranular representations.

[BibT_eX]

[DOI]

Farhana Haider

Intell. Data Anal., 2015

Book Review: Big Data Analytics.

[BibT_eX]

[DOI]

Sugata Sanyal

IEEE Intell. Informatics Bull., 2015

Combining Rough Clustering Schemes as a Rough Ensemble.

[BibT_eX]

[DOI]

Farhana Haider

Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Visual Predictions of Traffic Conditions.

[BibT_eX]

[DOI]

Jason P. Rhinelander

Mathew Kallada

Proceedings of the Advances in Artificial Intelligence, 2015

2014

Iterative meta-clustering through granular hierarchy of supermarket customers and products.

[BibT_eX]

[DOI]

Inf. Sci., 2014

Qualitative and quantitative combinations of crisp and rough clustering schemes using dominance relations.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2014

Analysis of User-Weighted π Rough k-Means.

[BibT_eX]

[DOI]

Georg Peters

Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Semantically Enhanced Clustering in Retail Using Possibilistic K-Modes.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Decremental Rough Possibilistic K-Modes.

[BibT_eX]

[DOI]

Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014

Rough possibilistic meta-clustering of retail datasets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013

Rough Support Vectors: Classification, Regression, Clustering.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Soft clustering - Fuzzy and rough approaches and their extensions and derivatives.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2013

Combination of Evidence Using the Principle of Minimum Information Gain

[BibT_eX]

[DOI]

CoRR, 2013

Decremental Possibilistic K-Modes.

[BibT_eX]

[DOI]

Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

Recursive Profiles of Businesses and Reviewers on Yelp.com.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Belief Discernibility Matrix and Function for Incremental or Large Data.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Enhancing Rough Clustering with Outlier Detection Based on Evidential Clustering.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Incremental Possibilistic K-Modes.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Incremental Rough Possibilistic K-Modes.

[BibT_eX]

[DOI]

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2013

A granular recursive fuzzy meta-clustering algorithm for social networks.

[BibT_eX]

[DOI]

Kishore Rathinavel

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

The k-modes method using possibility and rough set theories.

[BibT_eX]

[DOI]

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Exhaustive Search with Belief Discernibility Matrix and Function.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2013

The K-Modes Method under Possibilistic Framework.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2013

Comparison of Gene Co-expression Networks and Bayesian Networks.

[BibT_eX]

[DOI]

Saurabh Nagrecha

Nitesh V. Chawla

Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

2012

Correlating Fuzzy and Rough Clustering.

[BibT_eX]

[DOI]

C. Raghavendra Rao

Fundam. Informaticae, 2012

Heuristic for Attribute Selection Using Belief Discernibility Matrix.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Evidential Clustering or Rough Clustering: The Choice Is Yours.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

RPKM: The Rough Possibilistic K-Modes.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

Recursive meta-clustering in a granular network.

[BibT_eX]

[DOI]

Kishore Rathinavel

Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

K-Modes Clustering Using Possibilistic Membership.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2012

Propagation of knowledge from crisp and soft clustering through a granular hierarchy.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012

2011

Rough clustering.

[BibT_eX]

[DOI]

Georg Peters

WIREs Data Mining Knowl. Discov., 2011

Classification with Dynamic Reducts and Belief Functions.

[BibT_eX]

[DOI]

Trans. Rough Sets, 2011

Conservative and aggressive rough SVR modeling.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2011

Use of Stability and Seasonality Analysis for Optimal Inventory Prediction Models.

[BibT_eX]

[DOI]

Peng Zhang

J. Intell. Syst., 2011

Experimental Comparison of Iterative Versus Evolutionary Crisp and Rough Clustering.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2011

Computational Intelligence in Decision Making.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2011

Classification systems based on rough sets under the belief function framework.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2011

Join tree propagation utilizing both arc reversal and variable elimination.

[BibT_eX]

[DOI]

Ken Konkel

Int. J. Approx. Reason., 2011

History of Set Theory and Its Extensions in the Context of Soft Computing.

[BibT_eX]

[DOI]

Sarjerao Nimse

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Comparing Clustering Schemes at Two Levels of Granularity for Mobile Call Mining.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Crisp and Soft Clustering of Mobile Calls.

[BibT_eX]

[DOI]

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2011

Clustering of Products to Identify Optimal Inventory Prediction Models.

[BibT_eX]

Peng Zhang

Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

Soft clustering from crisp clustering using granulation for mobile call mining.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

2010

The CPT Structure of Variable Elimination in Discrete Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Information Systems, 2010

Rough support vector regression.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2010

Analysis of Rough and Fuzzy Clustering.

[BibT_eX]

[DOI]

C. Raghavendra Rao

Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

A Comparison of Dynamic and Static Belief Rough Set Classifier.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2010

Belief Rough Set Classification for web mining based on dynamic core.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Rough, fuzzy, interval clustering for web usage mining.

[BibT_eX]

[DOI]

Virendrakumar C. Bhavsar

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Rule Discovery Process Based on Rough Sets under the Belief Function Framework.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

2009

Rough Cluster Quality Index Based on Decision Theory.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2009

A formal comparison of variable elimination and arc reversal in Bayesian network inference.

[BibT_eX]

[DOI]

Intell. Decis. Technol., 2009

Semi-supervised Rough Cost/Benefit Decisions.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2009

Evolutionary Rough K-Means Clustering.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Interval Set Cluster Analysis: A Re-formulation.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2009

Dynamic Reduct from Partially Uncertain Data Using Rough Sets.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2009

Rough Set Year in India 2009.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2009

Evolutionary and Iterative Crisp and Rough Clustering II: Experiments.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Machine Intelligence, 2009

Evolutionary and Iterative Crisp and Rough Clustering I: Theory.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Machine Intelligence, 2009

An Algorithm for the Estimation of a Time Period of 2-Sequences.

[BibT_eX]

Virendrakumar C. Bhavsar

Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009

A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Belief Rough Set Classifier.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2009

Rough K-medoids clustering using GAs.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2008

Evolutionary Regression and Neural Imputations of Missing Values.

[BibT_eX]

[DOI]

Ming Zhong

Satish Sharma

Proceedings of the Soft Computing Applications in Industry, 2008

Rough Multi-category Decision Theoretic Framework.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Precision of Rough Set Clustering.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2008

A Web-Based Interface for Hiding Bayesian Network Inference.

[BibT_eX]

[DOI]

Ken Konkel

Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Building an intelligent web - theory and practice: contains IBM DB2 Express-C9.

[BibT_eX]

Rajendra Akerkar

Jones and Bartlett Publishers, ISBN: 978-0-7637-4137-2, 2008

2007

Applications of Rough Set Based K-Means, Kohonen SOM, GA Clustering.

[BibT_eX]

[DOI]

Trans. Rough Sets, 2007

Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification.

[BibT_eX]

[DOI]

Inf. Sci., 2007

Using Speech Recognition and Intelligent Search Tools to Enhance Information Accessibility.

[BibT_eX]

[DOI]

Proceedings of the Universal Access in Human-Computer Interaction. Applications and Services, 2007

Precision and Recall in Rough Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

Adaptive hyperlinks Using Page Access Sequences and Minimum Spanning Trees.

[BibT_eX]

[DOI]

Rucha Lingras

Proceedings of the FUZZ-IEEE 2007, 2007

Survey of Rough and Fuzzy Hybridization.

[BibT_eX]

[DOI]

Richard Jensen

Proceedings of the FUZZ-IEEE 2007, 2007

2006

A New Paradigm for Intelligent Collision Avoidance via Interactive and Interdependent Generic Maneuvers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2006

2005

Temporal analysis of clusters of supermarket customers: conventional versus interval set approach.

[BibT_eX]

[DOI]

Inf. Sci., 2005

Relationship between Product Based Loyalty and Clustering based on Supermarket Visit and Spending Patterns.

[BibT_eX]

[DOI]

Int. J. Comput. Sci. Appl., 2005

Statistical, Evolutionary, and Neurocomputing Clustering Techniques: Cluster-Based vs Object-Based Approaches.

[BibT_eX]

[DOI]

Xiandong Huang

Artif. Intell. Rev., 2005

Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2005

On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency.

[BibT_eX]

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Interval set representations of 1-v-r support vector machine multi-classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

2004

Interval set clustering of web users using modified Kohonen self-organizing maps based on the properties of rough sets.

[BibT_eX]

[DOI]

Web Intell. Agent Syst., 2004

Interval Set Clustering of Web Users with Rough <i>K</i>-Means.

[BibT_eX]

[DOI]

Chad West

J. Intell. Inf. Syst., 2004

Temporal Versus Latest Snapshot Web Usage Mining Using Kohonen Som And Modified Kohonen Som Based on The Properties of Rough Sets Theory.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2004

Web-based Support Systems (WSS): A Report of the WIC Canada Research Centre.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Temporal Cluster Migration Matrices for Web Usage Mining.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Analyzing the Performance of Genetically Designed Short-Term Traffic Prediction Models Based on Road Types and Functional Classes.

[BibT_eX]

[DOI]

Ming Zhong

Satish Sharma

Proceedings of the Innovations in Applied Artificial Intelligence, 2004

2003

Genetic algorithms for rerouting shortest paths in dynamic and stochastic networks.

[BibT_eX]

[DOI]

Cedric Davies

Eur. J. Oper. Res., 2003

Temporal Web Usage Mining.

[BibT_eX]

[DOI]

Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

Comparison of Conventional and Rough K-Means Clustering.

[BibT_eX]

[DOI]

Chad West

Proceedings of the Rough Sets, 2003

Clustering Supermarket Customers Using Rough Set Based Kohonen Networks.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003

Supermarket Customer Attrition Analysis Based on Cluster Membership Patterns.

[BibT_eX]

Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

Clustering of Web Users: K-Means vs. Fuzzy C-Means.

[BibT_eX]

Adish Jain

Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

Rough Set Based Clustering: Evolutionary, Neural, and Statistical Approaches.

[BibT_eX]

Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

Conventional Versus Interval Clustering Using Kohonen Networks.

[BibT_eX]

Proceedings of the ICEIS 2003, 2003

Fuzzy C-Means Clustering of Web Users for Educational Sites.

[BibT_eX]

[DOI]

Chad West

Proceedings of the Advances in Artificial Intelligence, 2003

2002

Time Complexity of Rough Clustering: GAs versus K-Means.

[BibT_eX]

[DOI]

Y. Y. Yao

Proceedings of the Rough Sets and Current Trends in Computing, 2002

Rough set clustering for Web mining.

[BibT_eX]

[DOI]

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001

Unsupervised Rough Set Classification Using GAs.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2001

Fuzzy-rough and rough-fuzzy serial combinations in neurocomputing.

[BibT_eX]

[DOI]

Neurocomputing, 2001

Application of Rough Genetic Algorithms.

[BibT_eX]

[DOI]

Cedric Davies

Comput. Intell., 2001

Time Delay Neural Networks Designed Using Genetic Algorithms for Short Term Inter-City Traffic Forecasting.

[BibT_eX]

[DOI]

Paul Mountford

Proceedings of the Engineering of Intelligent Systems, 2001

1999

Rough Genetic Algorithms.

[BibT_eX]

[DOI]

Cedric Davies

Proceedings of the New Directions in Rough Sets, 1999

1998

Data Mining Using Extensions of the Rough Set Model.

[BibT_eX]

[DOI]

Y. Y. Yao

J. Am. Soc. Inf. Sci., 1998

Interpretation of Belief Functions in The Theory of Rough Sets.

[BibT_eX]

[DOI]

Y. Y. Yao

Inf. Sci., 1998

Comparison of Neofuzzy and Rough Neural Networks.

[BibT_eX]

[DOI]

Inf. Sci., 1998

1996

Evidential Comparisons Using Belief Functions, Rough Sets and Nonmonotonic Preferences.

[BibT_eX]

[DOI]

Intell. Autom. Soft Comput., 1996

1994

Representation of Qualitative User Preference by Quantitative Belief Functions.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 1994

1993

Upper and Lower Entropies of Belief Functions Using Compatible Probability Functions.

[BibT_eX]

[DOI]

C. W. R. Chau

Proceedings of the Methodologies for Intelligent Systems, 7th International Symposium, 1993

Combination of Evidence in Rough Set Theory.

[BibT_eX]

Proceedings of the Computing and Information, 1993

1991

Compatibility of Quantitative and Qualitative Representations of Belief.

[BibT_eX]

[DOI]

Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

Towards Implementing Valuation Based Systems with Relational Databases.

[BibT_eX]

[DOI]

Proceedings of the Methodologies for Intelligent Systems, 6th International Symposium, 1991

Propagation of Preference Relations in Qualitative Inference Networks.

[BibT_eX]

[DOI]

Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1990

Two Perspectives of the Dempster-Shafer Theory of Belief Functions.

[BibT_eX]

[DOI]

Int. J. Man Mach. Stud., 1990

1988

An Optimistic Rule for Accumulation of Evidence.

[BibT_eX]