Pawan Lingras - RankMe

160 papers A* 1A 1B 10C 16Misc 6Journal 52Unranked 57

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Compact Multimodal Language Models as Robust OCR Alternatives for Noisy Textual Clinical Reports. EACL (Industry Track) Nikita Neveditsin, Pawan Lingras, Salil Patil, Swarup Patil, Vijay Kumar Mago
2026	J	`jnl`	Jointly Trained Automation of Explainable Construction Material Knowledge. Expert Syst. J. Knowl. Eng. Andrew Fisher, Lucas Moreira, A. H. M. Muntasir Billah, Pawan Lingras, Vijay Mago
2025	J	`jnl`	Building image reconstruction and dimensioning of the envelope from two-dimensional perspective drawings. Eng. Appl. Artif. Intell. Andrew Fisher, Lucas Moreira, A. H. M. Muntasir Billah, Pawan Lingras, Vijay Mago
2025	J	`jnl`	Compact Multimodal Language Models as Robust OCR Alternatives for Noisy Textual Clinical Reports. CoRR Nikita Neveditsin, Pawan Lingras, Salil Patil, Swarup Patil, Vijay Mago
2025	—	`conf`	Evaluating Structured Output Robustness of Small Language Models for Open Attribute-Value Extraction from Clinical Notes. ACL (4) Nikita Neveditsin, Pawan Lingras, Vijay Kumar Mago
2025	J	`jnl`	Evaluating Structured Output Robustness of Small Language Models for Open Attribute-Value Extraction from Clinical Notes. CoRR Nikita Neveditsin, Pawan Lingras, Vijay Mago
2025	B	`conf`	Extracting 3D Features From 2D Images Using Artificial Intelligence: A Survey. SMC Andrew Fisher, Arjun Pillai, Pawan Lingras, Vijay Mago
2025	—	`conf`	From Annotation to Adaptation: Metrics, Synthetic Data, and Aspect Extraction for Aspect-Based Sentiment Analysis with Large Language Models. NAACL (Student Research Workshop) Nikita Neveditsin, Pawan Lingras, Vijay Kumar Mago
2025	J	`jnl`	From Annotation to Adaptation: Metrics, Synthetic Data, and Aspect Extraction for Aspect-Based Sentiment Analysis with Large Language Models. CoRR Nikita Neveditsin, Pawan Lingras, Vijay Mago
2025	J	`jnl`	Scalable Parameter-Light Spectral Method for Clustering Short Text Embeddings with a Cohesion-Based Evaluation Metric. CoRR Nikita Neveditsin, Pawan Lingras, Vijay Mago
2024	—	`conf`	Application of Operations Research methods in operating room scheduling - a short survey. CCECE Gaurav Rao, David W. Savage, Pawan Lingras, Vijay Mago
2024	J	`jnl`	Clinical Insights: A Comprehensive Review of Language Models in Medicine. CoRR Nikita Neveditsin, Pawan Lingras, Vijay Mago
2024	—	`ed.`	Rough Sets - International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part I IJCRS (1) Mengjun Hu, Chris Cornelis, Yan Zhang, Pawan Lingras, Dominik Slezak, JingTao Yao
2024	—	`ed.`	Rough Sets - International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part II IJCRS (2) Mengjun Hu, Chris Cornelis, Yan Zhang, Pawan Lingras, Dominik Slezak, JingTao Yao
2023	—	`conf`	A Survey on Technologies Used During out of Hospital Cardiac Arrest. HEALTHINF Gaurav Rao, David W. Savage, Vijay Mago, Pawan Lingras
2023	—	`ed.`	Applications of Fuzzy Techniques - Proceedings of the 2022 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2022, Halifax, NS, Canada, 31 May - 3 June 2022. NAFIPS Scott Dick, Vladik Kreinovich, Pawan Lingras
2023	—	`ed.`	Multi-disciplinary Trends in Artificial Intelligence - 16th International Conference, MIWAI 2023, Hyderabad, India, July 21-22, 2023, Proceedings MIWAI Morusupalli Raghava, Teja Santosh Dandibhotla, Vani Vathsala Atluri, David Windridge, Pawan Lingras, Venkateswara Rao Komati
2022	J	`jnl`	AEDNav: indoor navigation for locating automated external defibrillator. BMC Medical Informatics Decis. Mak. Gaurav Rao, Vijay Mago, Pawan Lingras, David W. Savage
2020	B	`conf`	Modeling User Feedback: Fuzzy sampling, Portability, and Degree of Annoyance. FUZZ-IEEE Nikita Neveditsin, Ross MacDonald, Pawan Lingras, Trent Hillard
2020	J	`jnl`	SURF: identifying and allocating resources during Out-of-Hospital Cardiac Arrest. BMC Medical Informatics Decis. Mak. Gaurav Rao, Salimur Choudhury, Pawan Lingras, David W. Savage, Vijay Mago
2019	J	`jnl`	A three-way cluster ensemble approach for large-scale data. Int. J. Approx. Reason. Hong Yu, Yun Chen, Pawan Lingras, Guoyin Wang
2019	—	`conf`	Effect of Maximizing Recall and Agglomeration of Feedback on Accuracy. IFSA/NAFIPS Ross MacDonald, Nikita Neveditsin, Pawan Lingras, Trent Hillard
2019	B	`conf`	Sampling Using Fuzzy and Crisp Clustering to Improve Recall of Building Comfort Feedback. FUZZ-IEEE Ross MacDonald, Nikita Neveditsin, Pawan Lingras, Zheng Qin, Trent Hillard
2018	C	`conf`	Fuzzy Clustering Ensemble for Prioritized Sampling Based on Average and Rough Patterns. IEA/AIE Matthew Triff, Ilya Pavlovski, Zhixing Liu, Lori-Anne Morgan, Pawan Lingras
2017	C	`conf`	Clustering Ensemble for Prioritized Sampling Based on Average and Rough Patterns. ISMIS Matthew Triff, Ilya Pavlovski, Zhixing Liu, Lori-Anne Morgan, Pawan Lingras
2017	B	`conf`	Nonlinear classification, linear clustering, evolutionary semi-supervised three-way decisions: A comparison. FUZZ-IEEE Matthew Triff, Glavin Wiechert, Pawan Lingras
2016	—	`conf`	Advances in Rough and Soft Clustering: Meta-Clustering, Dynamic Clustering, Data-Stream Clustering. IJCRS Pawan Lingras, Matthew Triff
2016	J	`jnl`	Book Review: Cognitive Computing: Theory and Applications. IEEE Intell. Informatics Bull. Pawan Lingras
2016	B	`conf`	Evolutionary semi-supervised rough categorization of brain signals from a wearable headband. CEC Glavin Wiechert, Matthew Triff, Zhixing Liu, Zhicheng Yin, Shuai Zhao, Ziyun Zhong, Pawan Lingras
2016	—	`conf`	Identifying users and activities with cognitive signal processing from a wearable headband. ICCI*CC Glavin Wiechert, Matthew Triff, Zhixing Liu, Zhicheng Yin, Shuai Zhao, Ziyun Zhong, Runxing Zhaou, Pawan Lingras
2016	J	`jnl`	Meta-clustering of possibilistically segmented retail datasets. Fuzzy Sets Syst. Asma Ammar, Zied Elouedi, Pawan Lingras
2015	J	`jnl`	Book Review: Big Data Analytics. IEEE Intell. Informatics Bull. Pawan Lingras, Sugata Sanyal
2015	—	`conf`	Combining Rough Clustering Schemes as a Rough Ensemble. RSKT Pawan Lingras, Farhana Haider
2015	J	`jnl`	Fuzzy and Crisp Recursive Profiling of Online Reviewers and Businesses. IEEE Trans. Fuzzy Syst. Pawan Lingras, Matthew Triff
2015	J	`jnl`	Partially ordered rough ensemble clustering for multigranular representations. Intell. Data Anal. Pawan Lingras, Farhana Haider
2015	J	`jnl`	Semantically Segmented Clustering Based on Possibilistic and Rough Set Theories. Int. J. Intell. Syst. Asma Ammar, Zied Elouedi, Pawan Lingras
2015	—	`conf`	Visual Predictions of Traffic Conditions. Canadian AI Jason P. Rhinelander, Mathew Kallada, Pawan Lingras
2014	—	`conf`	Analysis of User-Weighted π Rough k-Means. RSKT Georg Peters, Pawan Lingras
2014	—	`conf`	Decremental Rough Possibilistic K-Modes. ICAIS Asma Ammar, Zied Elouedi, Pawan Lingras
2014	J	`jnl`	Iterative meta-clustering through granular hierarchy of supermarket customers and products. Inf. Sci. Pawan Lingras, Ahmed Elagamy, Asma Ammar, Zied Elouedi
2014	J	`jnl`	Qualitative and quantitative combinations of crisp and rough clustering schemes using dominance relations. Int. J. Approx. Reason. Pawan Lingras, Min Chen, Duoqian Miao
2014	B	`conf`	Rough possibilistic meta-clustering of retail datasets. DSAA Asma Ammar, Zied Elouedi, Pawan Lingras
2014	—	`conf`	Semantically Enhanced Clustering in Retail Using Possibilistic K-Modes. RSKT Asma Ammar, Zied Elouedi, Pawan Lingras
2013	—	`conf`	A granular recursive fuzzy meta-clustering algorithm for social networks. IFSA/NAFIPS Kishore Rathinavel, Pawan Lingras
2013	—	`conf`	Belief Discernibility Matrix and Function for Incremental or Large Data. RSFDGrC Salsabil Trabelsi, Zied Elouedi, Pawan Lingras
2013	J	`jnl`	Combination of Evidence Using the Principle of Minimum Information Gain CoRR S. K. Michael Wong, Pawan Lingras
2013	—	`conf`	Comparison of Gene Co-expression Networks and Bayesian Networks. ACIIDS (1) Saurabh Nagrecha, Pawan Lingras, Nitesh V. Chawla
2013	J	`jnl`	Compatibility of Quantitative and Qualitative Representations of Belief CoRR S. K. Michael Wong, Y. Y. Yao, Pawan Lingras
2013	—	`conf`	Decremental Possibilistic K-Modes. SCAI Asma Ammar, Zied Elouedi, Pawan Lingras
2013	—	`conf`	Enhancing Rough Clustering with Outlier Detection Based on Evidential Clustering. RSFDGrC Manish R. Joshi, Pawan Lingras
2013	—	`conf`	Exhaustive Search with Belief Discernibility Matrix and Function. Canadian AI Salsabil Trabelsi, Zied Elouedi, Pawan Lingras
2013	—	`conf`	Incremental Possibilistic K-Modes. RSFDGrC Asma Ammar, Zied Elouedi, Pawan Lingras
2013	—	`conf`	Incremental Rough Possibilistic K-Modes. MIWAI Asma Ammar, Zied Elouedi, Pawan Lingras
2013	—	`ed.`	Multi-disciplinary Trends in Artificial Intelligence - 7th International Workshop, MIWAI 2013, Krabi, Thailand, December 9-11, 2013. Proceedings MIWAI Sheela Ramanna, Pawan Lingras, Chattrakul Sombattheera, Aneesh Krishna
2013	—	`conf`	Recursive Profiles of Businesses and Reviewers on Yelp.com. RSFDGrC Matthew Triff, Pawan Lingras
2013	—	`ed.`	Rough Sets and Knowledge Technology - 8th International Conference, RSKT 2013, Halifax, NS, Canada, October 11-14, 2013, Proceedings RSKT Pawan Lingras, Marcin Wolski, Chris Cornelis, Sushmita Mitra, Piotr Wasilewski
2013	—	`ch.`	Rough Support Vectors: Classification, Regression, Clustering. Rough Sets and Intelligent Systems (1) Pawan Lingras, Parag Bhalchandra, Cory J. Butz, S. Asharaf
2013	J	`jnl`	Soft clustering - Fuzzy and rough approaches and their extensions and derivatives. Int. J. Approx. Reason. Georg Peters, Fernando A. Crespo, Pawan Lingras, Richard Weber
2013	—	`conf`	The K-Modes Method under Possibilistic Framework. Canadian AI Asma Ammar, Zied Elouedi, Pawan Lingras
2013	—	`conf`	The k-modes method using possibility and rough set theories. IFSA/NAFIPS Asma Ammar, Zied Elouedi, Pawan Lingras
2012	J	`jnl`	Correlating Fuzzy and Rough Clustering. Fundam. Informaticae Manish R. Joshi, Pawan Lingras, C. Raghavendra Rao
2012	—	`conf`	Evidential Clustering or Rough Clustering: The Choice Is Yours. RSKT Manish R. Joshi, Pawan Lingras
2012	—	`conf`	Heuristic for Attribute Selection Using Belief Discernibility Matrix. RSKT Salsabil Trabelsi, Zied Elouedi, Pawan Lingras
2012	—	`conf`	K-Modes Clustering Using Possibilistic Membership. IPMU (3) Asma Ammar, Zied Elouedi, Pawan Lingras
2012	C	`conf`	Propagation of knowledge from crisp and soft clustering through a granular hierarchy. HIS Pawan Lingras, Parag Bhalchandra, Santosh Khamitkar, Satish Mekewad, Ravindra Rathod
2012	C	`conf`	RPKM: The Rough Possibilistic K-Modes. ISMIS Asma Ammar, Zied Elouedi, Pawan Lingras
2012	C	`conf`	Recursive meta-clustering in a granular network. ISDA Pawan Lingras, Kishore Rathinavel
2011	—	`ed.`	Advances in Artificial Intelligence - 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, St. John's, Canada, May 25-27, 2011. Proceedings Canadian AI Cory J. Butz, Pawan Lingras
2011	J	`jnl`	Classification systems based on rough sets under the belief function framework. Int. J. Approx. Reason. Salsabil Trabelsi, Zied Elouedi, Pawan Lingras
2011	J	`jnl`	Classification with Dynamic Reducts and Belief Functions. Trans. Rough Sets Salsabil Trabelsi, Zied Elouedi, Pawan Lingras
2011	—	`conf`	Clustering of Products to Identify Optimal Inventory Prediction Models. IICAI Peng Zhang, Manish R. Joshi, Pawan Lingras
2011	—	`conf`	Comparing Clustering Schemes at Two Levels of Granularity for Mobile Call Mining. RSKT Pawan Lingras, Parag Bhalchandra, Satish Mekewad, Ravindra Rathod, Santosh Khamitkar
2011	J	`jnl`	Computational Intelligence in Decision Making. Int. J. Comput. Intell. Syst. Tianrui Li, Pawan Lingras, Yuefeng Li, Joseph P. Herbert
2011	J	`jnl`	Conservative and aggressive rough SVR modeling. Theor. Comput. Sci. Pawan Lingras, Cory J. Butz
2011	—	`conf`	Crisp and Soft Clustering of Mobile Calls. MIWAI Pawan Lingras, Parag Bhalchandra, Santosh Khamitkar, Satish Mekewad, Ravindra Rathod
2011	J	`jnl`	Experimental Comparison of Iterative Versus Evolutionary Crisp and Rough Clustering. Int. J. Comput. Intell. Syst. Pawan Lingras, Manish R. Joshi
2011	—	`conf`	History of Set Theory and Its Extensions in the Context of Soft Computing. RSKT Sarjerao Nimse, Pawan Lingras
2011	J	`jnl`	Join tree propagation utilizing both arc reversal and variable elimination. Int. J. Approx. Reason. Cory J. Butz, Ken Konkel, Pawan Lingras
2011	—	`ed.`	Proceedings of the 5th Indian International Conference on Artificial Intelligence, IICAI 2011, Tumkur, Karnataka State, India, December 14-16, 2011 IICAI Bhanu Prasad, Pawan Lingras, Ramakant Nevatia
2011	J	`jnl`	Rough clustering. WIREs Data Mining Knowl. Discov. Pawan Lingras, Georg Peters
2011	Misc	`conf`	Soft clustering from crisp clustering using granulation for mobile call mining. GrC Pawan Lingras, Sarjerao Nimse, N. Darkunde, A. Muley
2011	J	`jnl`	Use of Stability and Seasonality Analysis for Optimal Inventory Prediction Models. J. Intell. Syst. Peng Zhang, Manish R. Joshi, Pawan Lingras
2010	—	`conf`	A Comparison of Dynamic and Static Belief Rough Set Classifier. RSCTC Salsabil Trabelsi, Zied Elouedi, Pawan Lingras
2010	—	`ed.`	Active Media Technology, 6th International Conference, AMT 2010, Toronto, Canada, August 28-30, 2010. Proceedings AMT Aijun An, Pawan Lingras, Sheila Petty, Runhe Huang
2010	—	`conf`	Analysis of Rough and Fuzzy Clustering. RSKT Manish R. Joshi, Pawan Lingras, C. Raghavendra Rao
2010	C	`conf`	Belief Rough Set Classification for web mining based on dynamic core. ISDA Salsabil Trabelsi, Zied Elouedi, Pawan Lingras
2010	—	`ed.`	Rough Set and Knowledge Technology - 5th International Conference, RSKT 2010, Beijing, China, October 15-17, 2010. Proceedings RSKT Jian Yu, Salvatore Greco, Pawan Lingras, Guoyin Wang, Andrzej Skowron
2010	J	`jnl`	Rough support vector regression. Eur. J. Oper. Res. Pawan Lingras, Cory J. Butz
2010	C	`conf`	Rough, fuzzy, interval clustering for web usage mining. ISDA Manish R. Joshi, Pawan Lingras, Yiyu Yao, Virendrakumar C. Bhavsar
2010	C	`conf`	Rule Discovery Process Based on Rough Sets under the Belief Function Framework. IPMU Salsabil Trabelsi, Zied Elouedi, Pawan Lingras
2010	—	`ch.`	The CPT Structure of Variable Elimination in Discrete Bayesian Networks. Advances in Intelligent Information Systems Cory J. Butz, Wen Yan, Pawan Lingras, Y. Y. Yao
2010	—	`ed.`	Transactions on Rough Sets XII Trans. Rough Sets James F. Peters, Andrzej Skowron, Roman Slowinski, Pawan Lingras, Duoqian Miao, Shusaku Tsumoto
2009	Misc	`conf`	A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference. FLAIRS Cory J. Butz, Junying Chen, Ken Konkel, Pawan Lingras
2009	J	`jnl`	A formal comparison of variable elimination and arc reversal in Bayesian network inference. Intell. Decis. Technol. Cory J. Butz, Junying Chen, Ken Konkel, Pawan Lingras
2009	—	`conf`	An Algorithm for the Estimation of a Time Period of 2-Sequences. IICAI Manish R. Joshi, Virendrakumar C. Bhavsar, Pawan Lingras
2009	—	`conf`	Belief Rough Set Classifier. Canadian AI Salsabil Trabelsi, Zied Elouedi, Pawan Lingras
2009	—	`conf`	Dynamic Reduct from Partially Uncertain Data Using Rough Sets. RSFDGrC Salsabil Trabelsi, Zied Elouedi, Pawan Lingras
2009	—	`conf`	Evolutionary Rough K-Means Clustering. RSKT Pawan Lingras
2009	—	`conf`	Evolutionary and Iterative Crisp and Rough Clustering I: Theory. PReMI Manish R. Joshi, Pawan Lingras
2009	—	`conf`	Evolutionary and Iterative Crisp and Rough Clustering II: Experiments. PReMI Manish R. Joshi, Pawan Lingras
2009	—	`conf`	Interval Set Cluster Analysis: A Re-formulation. RSFDGrC Yiyu Yao, Pawan Lingras, Ruizhi Wang, Duoqian Miao
2009	Misc	`conf`	Join Tree Propagation Utilizing Both Arc Reversal and Variable Elimination. FLAIRS Cory J. Butz, Ken Konkel, Pawan Lingras
2009	—	`ed.`	Proceedings of the 4th Indian International Conference on Artificial Intelligence, IICAI 2009, Tumkur, Karnataka, India, December 16-18, 2009 IICAI Bhanu Prasad, Pawan Lingras, Ashwin Ram
2009	J	`jnl`	Rough Cluster Quality Index Based on Decision Theory. IEEE Trans. Knowl. Data Eng. Pawan Lingras, Min Chen, Duoqian Miao
2009	—	`conf`	Rough K-medoids clustering using GAs. IEEE ICCI Pawan Lingras
2009	—	`conf`	Rough Set Year in India 2009. RSFDGrC Manish R. Joshi, Rabi Nanda Bhaumik, Pawan Lingras, Nitin Patil, Ambuja Salgaonkar, Dominik Slezak
2009	J	`jnl`	Semi-supervised Rough Cost/Benefit Decisions. Fundam. Informaticae Pawan Lingras, Min Chen, Duoqian Miao
2008	C	`conf`	A Web-Based Interface for Hiding Bayesian Network Inference. ISMIS Cory J. Butz, Pawan Lingras, Ken Konkel
2008	—	`book`	Building an intelligent web - theory and practice: contains IBM DB2 Express-C9. Rajendra Akerkar, Pawan Lingras
2008	—	`ch.`	Evolutionary Regression and Neural Imputations of Missing Values. Soft Computing Applications in Industry Pawan Lingras, Ming Zhong, Satish Sharma
2008	—	`conf`	Precision of Rough Set Clustering. RSCTC Pawan Lingras, Min Chen, Duoqian Miao
2008	—	`conf`	Rough Multi-category Decision Theoretic Framework. RSKT Pawan Lingras, Min Chen, Duoqian Miao
2007	B	`conf`	Adaptive hyperlinks Using Page Access Sequences and Minimum Spanning Trees. FUZZ-IEEE Pawan Lingras, Rucha Lingras
2007	J	`jnl`	Applications of Rough Set Based K-Means, Kohonen SOM, GA Clustering. Trans. Rough Sets Pawan Lingras
2007	Misc	`conf`	Precision and Recall in Rough Support Vector Machines. GrC Pawan Lingras, Cory J. Butz
2007	—	`ed.`	Rough Sets and Knowledge Technology, Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings RSKT JingTao Yao, Pawan Lingras, Wei-Zhi Wu, Marcin S. Szczuka, Nick Cercone, Dominik Slezak
2007	J	`jnl`	Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification. Inf. Sci. Pawan Lingras, Cory J. Butz
2007	B	`conf`	Survey of Rough and Fuzzy Hybridization. FUZZ-IEEE Pawan Lingras, Richard Jensen
2007	—	`conf`	Using Speech Recognition and Intelligent Search Tools to Enhance Information Accessibility. HCI (7) Keith Bain, Jason Hines, Pawan Lingras, Yumei Qin
2006	B	`conf`	A New Paradigm for Intelligent Collision Avoidance via Interactive and Interdependent Generic Maneuvers. SMC Ravipriya Ranatunga, Sisil Kumarawadu, Pawan Lingras, Tsu-Tian Lee
2005	Misc	`conf`	Interval set representations of 1-v-r support vector machine multi-classifiers. GrC Pawan Lingras, Cory J. Butz
2005	—	`conf`	On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency. IICAI Cory J. Butz, Pawan Lingras
2005	—	`conf`	Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers. RSFDGrC (2) Pawan Lingras, Cory J. Butz
2005	J	`jnl`	Relationship between Product Based Loyalty and Clustering based on Supermarket Visit and Spending Patterns. Int. J. Comput. Sci. Appl. Chad West, Stephanie MacDonald, Pawan Lingras, Greg Adams
2005	J	`jnl`	Statistical, Evolutionary, and Neurocomputing Clustering Techniques: Cluster-Based vs Object-Based Approaches. Artif. Intell. Rev. Pawan Lingras, Xiandong Huang
2005	J	`jnl`	Temporal analysis of clusters of supermarket customers: conventional versus interval set approach. Inf. Sci. Pawan Lingras, Mofreh Hogo, Miroslav Snorek, Chad West
2004	C	`conf`	Analyzing the Performance of Genetically Designed Short-Term Traffic Prediction Models Based on Road Types and Functional Classes. IEA/AIE Ming Zhong, Satish Sharma, Pawan Lingras
2004	J	`jnl`	Interval Set Clustering of Web Users with Rough J. Intell. Inf. Syst. Pawan Lingras, Chad West
2004	J	`jnl`	Interval set clustering of web users using modified Kohonen self-organizing maps based on the properties of rough sets. Web Intell. Agent Syst. Pawan Lingras, Mofreh Hogo, Miroslav Snorek
2004	—	`conf`	Temporal Cluster Migration Matrices for Web Usage Mining. Web Intelligence Pawan Lingras, Mofreh Hogo, Miroslav Snorek
2004	J	`jnl`	Temporal Versus Latest Snapshot Web Usage Mining Using Kohonen Som And Modified Kohonen Som Based on The Properties of Rough Sets Theory. Int. J. Artif. Intell. Tools Mofreh Hogo, Miroslav Snorek, Pawan Lingras
2004	—	`conf`	Web-based Support Systems (WSS): A Report of the WIC Canada Research Centre. Web Intelligence Yiyu Yao, JingTao Yao, Cory J. Butz, Pawan Lingras, Dawn N. Jutla
2003	C	`conf`	Clustering Supermarket Customers Using Rough Set Based Kohonen Networks. ISMIS Pawan Lingras, Mofreh Hogo, Miroslav Snorek, Bill Leonard
2003	—	`conf`	Clustering of Web Users: K-Means vs. Fuzzy C-Means. IICAI Pawan Lingras, Rui Yan, Adish Jain
2003	—	`conf`	Comparison of Conventional and Rough K-Means Clustering. RSFDGrC Pawan Lingras, Rui Yan, Chad West
2003	—	`conf`	Conventional Versus Interval Clustering Using Kohonen Networks. ICEIS (2) Mofreh Hogo, Pawan Lingras, Miroslav Snorek
2003	Misc	`conf`	Fuzzy C-Means Clustering of Web Users for Educational Sites. AI Pawan Lingras, Rui Yan, Chad West
2003	J	`jnl`	Genetic algorithms for rerouting shortest paths in dynamic and stochastic networks. Eur. J. Oper. Res. Cedric Davies, Pawan Lingras
2003	—	`conf`	Rough Set Based Clustering: Evolutionary, Neural, and Statistical Approaches. IICAI Pawan Lingras, Rui Yan, Mofreh Hogo
2003	—	`conf`	Supermarket Customer Attrition Analysis Based on Cluster Membership Patterns. IICAI Chad West, Adish Jain, Pawan Lingras, Bill Leonard
2003	—	`conf`	Temporal Web Usage Mining. Web Intelligence Mofreh Hogo, Miroslav Snorek, Pawan Lingras
2002	B	`conf`	Rough set clustering for Web mining. FUZZ-IEEE Pawan Lingras
2002	—	`conf`	Time Complexity of Rough Clustering: GAs versus K-Means. Rough Sets and Current Trends in Computing Pawan Lingras, Y. Y. Yao
2001	J	`jnl`	Application of Rough Genetic Algorithms. Comput. Intell. Pawan Lingras, Cedric Davies
2001	J	`jnl`	Fuzzy-rough and rough-fuzzy serial combinations in neurocomputing. Neurocomputing Pawan Lingras
2001	C	`conf`	Time Delay Neural Networks Designed Using Genetic Algorithms for Short Term Inter-City Traffic Forecasting. IEA/AIE Pawan Lingras, Paul Mountford
2001	J	`jnl`	Unsupervised Rough Set Classification Using GAs. J. Intell. Inf. Syst. Pawan Lingras
1999	—	`conf`	Rough Genetic Algorithms. RSFDGrC Pawan Lingras, Cedric Davies
1998	J	`jnl`	Comparison of Neofuzzy and Rough Neural Networks. Inf. Sci. Pawan Lingras
1998	J	`jnl`	Data Mining Using Extensions of the Rough Set Model. J. Am. Soc. Inf. Sci. Pawan Lingras, Y. Y. Yao
1998	J	`jnl`	Interpretation of Belief Functions in The Theory of Rough Sets. Inf. Sci. Y. Y. Yao, Pawan Lingras
1996	J	`jnl`	Evidential Comparisons Using Belief Functions, Rough Sets and Nonmonotonic Preferences. Intell. Autom. Soft Comput. Pawan Lingras
1994	J	`jnl`	Representation of Qualitative User Preference by Quantitative Belief Functions. IEEE Trans. Knowl. Data Eng. S. K. Michael Wong, Pawan Lingras
1993	C	`conf`	Combination of Evidence in Rough Set Theory. ICCI Pawan Lingras
1993	C	`conf`	Upper and Lower Entropies of Belief Functions Using Compatible Probability Functions. ISMIS C. W. R. Chau, Pawan Lingras, S. K. Michael Wong
1991	A	`conf`	Compatibility of Quantitative and Qualitative Representations of Belief. UAI S. K. Michael Wong, Yiyu Yao, Pawan Lingras
1991	A*	`conf`	Propagation of Preference Relations in Qualitative Inference Networks. IJCAI S. K. Michael Wong, Pawan Lingras, Yiyu Yao
1991	C	`conf`	Towards Implementing Valuation Based Systems with Relational Databases. ISMIS S. K. Michael Wong, Pawan Lingras, Yiyu Yao
1990	J	`jnl`	Two Perspectives of the Dempster-Shafer Theory of Belief Functions. Int. J. Man Mach. Stud. Pawan Lingras, S. K. Michael Wong
1988	C	`conf`	An Optimistic Rule for Accumulation of Evidence. ISMIS Pawan Lingras, S. K. Michael Wong