Efficient Monte Carlo decision tree solution in dynamic purchasing environments. - Scott Buffett; Bruce Spencer (ICEC, 2003)

Considering expected utility of future bidding options in bundle purchasing with multiple auctions. - Scott Buffett (ICEC, 2004)

A Decision-Theoretic Algorithm for Bundle Purchasing in Multiple Open Ascending-Price Auctions. - Scott Buffett; Alastair Grant (Canadian AI, 2004)

Determining Internet Users' Values for Private Information. - Scott Buffett; Nathan Scott; Bruce Spencer; Michael Richter; Michael W. Fleming (PST, 2004)

Negotiating Exchanges of P3p-Labeled Information for Compensation. - Scott Buffett; Keping Jia; Sandy Liu; Bruce Spencer; Fang Wang (Comput. Intell., 2004)

A Decision Procedure for Bundle Purchasing with Incomplete Information on Future Prices. - Scott Buffett; Bruce Spencer (Int. J. Electron. Commer., 2004)

Learning opponents' preferences in multi-object automated negotiation. - Scott Buffett; Bruce Spencer (ICEC, 2005)

A Markov Model for Inventory Level Optimization in Supply-Chain Management. - Scott Buffett (Canadian AI, 2005)

MONOLOGUE: A Tool for Negotiating Exchanges of Private Information in E-Commerce. - Scott Buffett; Luc Comeau; Michael W. Fleming; Bruce Spencer (PST, 2005)

Detecting opponent concessions in multi-issue automated negotiation. - Scott Buffett; Luc Comeau; Bruce Spencer; Michael W. Fleming (ICEC, 2006)

TAC-REM - The Real Estate Market Game: A Proposal for the Trading Agent Competition. - Scott Buffett; Maria Fasli (TADA/AMEC, 2006)

Towards a model for risk and consent management of personal health information. - Scott Buffett; T. A. Kosa (PST, 2006)

Reasoning with Conditional Preferences Across Attributes. - Shaoju Chen; Scott Buffett; Michael W. Fleming (Canadian AI, 2007)

Private Data Management in Collaborative Environments. - Larry Korba; Ronggong Song; George Yee; Andrew S. Patrick; Scott Buffett; Yunli Wang; Liqiang Geng (CDVE, 2007)

Persistently Effective Query Selection in Preference Elicitation. - Scott Buffett; Michael W. Fleming (IAT, 2007)

A Bayesian classifier for learning opponents' preferences in multi-object automated negotiation. - Scott Buffett; Bruce Spencer (Electron. Commer. Res. Appl., 2007)

The International Journal of Information Security Special Issue on privacy, security and trust technologies and E-business services. - Scott Knight; Scott Buffett; Patrick C. K. Hung (Int. J. Inf. Sec., 2007)

Predicting User Preferences Via Similarity-Based Clustering. - Mian Qin; Scott Buffett; Michael W. Fleming (Canadian AI, 2008)

Bayesian Classification of Events for Task Labeling Using Workflow Models. - Scott Buffett; Liqiang Geng (Business Process Management Workshops, 2008)

Abductive Workflow Mining. - Scott Buffett; Bruce Hamilton (Business Process Management Workshops, 2008)

Private Data Discovery for Privacy Compliance in Collaborative Environments. - Larry Korba; Yunli Wang; Liqiang Geng; Ronggong Song; George Yee; Andrew S. Patrick; Scott Buffett; Hongyu Liu; Yonghua You (CDVE, 2008)

Abductive Workflow Mining Using Binary Resolution on Task Successor Rules. - Scott Buffett (RuleML, 2008)

Special section guest editors' introduction: Evaluating new technological innovations for successful business on the internet. - Scott Buffett; Bruce Spencer (Electron. Commer. Res. Appl., 2008)

Discovering Structured Event Logs from Unstructured Audit Trails for Workflow Mining. - Liqiang Geng; Scott Buffett; Bruce Hamilton; Xin Wang 004; Larry Korba; Hongyu Liu; Yunli Wang (ISMIS, 2009)

Using classification methods to label tasks in process mining. - Scott Buffett; Liqiang Geng (J. Softw. Maintenance Res. Pract., 2010)

Utility Estimation in Large Preference Graphs Using A* Search. - Henry Bediako-Asare; Scott Buffett; Michael W. Fleming (Canadian AI, 2011)

Simulating social commerce applied to buyer group pricing, recommendation incentives, and bundling. - Bruce Spencer; Scott Buffett (ICEC, 2012)

Maintaining Preference Networks That Adapt to Changing Preferences. - Ki Hyang Lee; Scott Buffett; Michael W. Fleming (Canadian AI, 2013)

Analyzing Student Inquiry Data Using Process Discovery and Sequence Classification. - Bruno Emond; Scott Buffett (EDM, 2015)

Analysing and Refining Pilot Training. - Bruno Emond; Scott Buffett; Cyril Goutte; Jaff Guo (EDM, 2016)

Candidate List Maintenance in High Utility Sequential Pattern Mining. - Scott Buffett (IEEE BigData, 2018)

Pattern-Based Behavioural Analysis on Neurosurgical Simulation Data. - Scott Buffett; Catherine Pagiatakis; Di Jiang (MLHC, 2018)

Incremental Sequential Rule Mining with Streaming Input Traces. - Andriy Drozdyuk; Scott Buffett; Michael W. Fleming (Canadian AI, 2020)

Dramatically Reducing Search for High Utility Sequential Patterns by Maintaining Candidate Lists. - Scott Buffett (Inf., 2020)

Towards a Robust and Trustworthy Machine Learning System Development. - Pulei Xiong; Scott Buffett; Shahrear Iqbal; Philippe Lamontagne 001; Mohammad Saiful Islam Mamun; Heather Molyneaux (CoRR, 2021)

TapTree: Process-Tree Based Host Behavior Modeling and Threat Detection Framework via Sequential Pattern Mining. - Mohammad Mamun 001; Scott Buffett (ICICS, 2022)

Towards a robust and trustworthy machine learning system development: An engineering perspective. - Pulei Xiong; Scott Buffett; Shahrear Iqbal; Philippe Lamontagne 001; Mohammad Saiful Islam Mamun; Heather Molyneaux (J. Inf. Secur. Appl., 2022)

An exploratory study on domain knowledge infusion in deep learning for automated threat defense. - Sourena Khanzadeh; Euclides Carlos Pinto Neto; Shahrear Iqbal; Manar H. Alalfi; Scott Buffett (Int. J. Inf. Sec., 2025)

Correction: An exploratory study on domain knowledge infusion in deep learning for automated threat defense. - Sourena Khanzadeh; Euclides Carlos Pinto Neto; Shahrear Iqbal; Manar H. Alalfi; Scott Buffett (Int. J. Inf. Sec., 2025)

Deep learning for intrusion detection in emerging technologies: a comprehensive survey and new perspectives. - Euclides Carlos Pinto Neto; Shahrear Iqbal; Scott Buffett; Madeena Sultana; Adrian Taylor (Artif. Intell. Rev., 2025)