Comment on "William E. Combs: Combinatorial rule explosion eliminated by a fuzzy rule configuration" [and reply]. - Scott Dick; Abraham Kandel (IEEE Trans. Fuzzy Syst., 1999)

The linguistic gradient of a fuzzy logic rule-base. - Scott Dick; Abraham Kandel (FUZZ-IEEE, 2000)

Re-granulating a Fuzzy Rulebase. - Scott Dick; Adam Schenker; Mark Last; Horst Bunke; Abraham Kandel (FUZZ-IEEE, 2001)

A granular counterpart to the gradient operator. - Scott Dick; Wladimir Rodriguez; Abraham Kandel (Soft Comput., 2002)

Fuzzy clustering of software metrics. - Scott Dick; Abraham Kandel (FUZZ-IEEE, 2003)

Data mining in software metrics databases. - Scott Dick; Aleksandra Meeks; Mark Last; Horst Bunke; Abraham Kandel (Fuzzy Sets Syst., 2004)

Toward complex fuzzy logic. - Scott Dick (IEEE Trans. Fuzzy Syst., 2005)

Computational Intelligence in Software Quality Assurance - Scott Dick; Abraham Kandel (WorldScientific, 2005)

Fuzzy Clustering of Open-Source Software Quality Data: A Case Study of Mozilla. - Scott Dick; Aina Sadia (IJCNN, 2006)

A comment on "Prediction of protein structural classes by a new measure of information discrepancy". - Kanaka Durga Kedarisetti; Lukasz A. Kurgan; Scott Dick (Comput. Biol. Chem., 2006)

A similarity measure for fuzzy rulebases based on linguistic gradients. - Hui Li; Scott Dick (Inf. Sci., 2006)

Highly scalable and robust rule learner: performance evaluation and comparison. - Lukasz A. Kurgan; Krzysztof J. Cios; Scott Dick (IEEE Trans. Syst. Man Cybern. Part B, 2006)

P3P Adoption on E-Commerce Web sites: A Survey and Analysis. - Patricia Beatty; Ian Reay; Scott Dick; James Miller 001 (IEEE Internet Comput., 2007)

Regranulation: A granular algorithm enabling communication between granular worlds. - Scott Dick; Adam Schenker; Witold Pedrycz; Abraham Kandel (Inf. Sci., 2007)

A Survey and Analysis of the P3P Protocol's Agents, Adoption, Maintenance, and Future. - Ian Reay; Patricia Beatty; Scott Dick; James Miller 001 (IEEE Trans. Dependable Secur. Comput., 2007)

Software-Reliability Modeling: The Case for Deterministic Behavior. - Scott Dick; Cindy L. Bethel; Abraham Kandel (IEEE Trans. Syst. Man Cybern. Part A, 2007)

Is HTML in a Race to the Bottom? A Large-Scale Survey and Analysis of Conformance to W3C Standards. - Patricia Beatty; Scott Dick; James Miller 001 (IEEE Internet Comput., 2008)

How Do We Build Trust into E-commerce Web Sites? - Ejike Ofuonye; Patricia Beatty; Ian Reay; Scott Dick; James Miller 001 (IEEE Softw., 2008)

Design of a High-Speed Fuzzy Logic Controller Based on Log-Domain Arithmetic. - Ali Razib; Scott Dick; Vincent C. Gaudet (ISMVL, 2009)

Do You Know Where Your Data Is? A Study of the Effect of Enforcement Strategies on Privacy Policies. - Ian Reay; Patricia Beatty; Scott Dick; James Miller 001 (Int. J. Inf. Secur. Priv., 2009)

An analysis of privacy signals on the World Wide Web: Past, present and future. - Ian Reay; Scott Dick; James Miller 001 (Inf. Sci., 2009)

A large-scale empirical study of P3P privacy policies: Stated actions vs. legal obligations. - Ian Reay; Scott Dick; James Miller 001 (ACM Trans. Web, 2009)

An on-line learning algorithm for complex fuzzy logic. - Sara Aghakhani; Scott Dick (FUZZ-IEEE, 2010)

Prevalence and classification of web page defects. - Ejike Ofuonye; Patricia Beatty; Scott Dick; James Miller 001 (Online Inf. Rev., 2010)

Detecting visually similar Web pages: Application to phishing detection. - Teh-Chung Chen; Scott Dick; James Miller 001 (ACM Trans. Internet Techn., 2010)

Consumer trust in e-commerce web sites: A meta-study. - Patricia Beatty; Ian Reay; Scott Dick; James Miller 001 (ACM Comput. Surv., 2011)

Improved Sequence-Based Prediction of Strand residues. - Kanaka Durga Kedarisetti; Marcin J. Mizianty; Scott Dick; Lukasz A. Kurgan (J. Bioinform. Comput. Biol., 2011)

ANCFIS: A Neurofuzzy Architecture Employing Complex Fuzzy Sets. - Zhifei Chen; Sara Aghakhani; James Man; Scott Dick (IEEE Trans. Fuzzy Syst., 2011)

Evaluating Stratification Alternatives to Improve Software Defect Prediction. - Lourdes Pelayo; Scott Dick (IEEE Trans. Reliab., 2012)

Predicting solar power output using complex fuzzy logic. - Omolbanin Yazdanbakhsh; Alix Krahn; Scott Dick (IFSA/NAFIPS, 2013)

A granular neural network: Performance analysis and application to re-granulation. - Scott Dick; Andrew Tappenden; Curtis Badke; Olufemi Olarewaju (Int. J. Approx. Reason., 2013)

Privacy policies and national culture on the internet. - Ian Reay; Patricia Beatty; Scott Dick; James Miller 001 (Inf. Syst. Frontiers, 2013)

Log-Domain Arithmetic for High-Speed Fuzzy Control on a Field-Programmable Gate Array. - Ali Razib; Scott Dick; Vincent C. Gaudet (Soft Computing: State of the Art Theory and Novel Applications, 2013)

An empirical investigation of Web session workloads: Can self-similarity be explained by deterministic chaos? - Scott Dick; Omolbanin Yazdanbakhsh; Xiuli Tang; Toan Huynh; James Miller 001 (Inf. Process. Manag., 2014)

An Anti-Phishing System Employing Diffused Information. - Teh-Chung Chen; Torin Stepan; Scott Dick; James Miller 001 (ACM Trans. Inf. Syst. Secur., 2014)

Disaggregating household loads via semi-supervised multi-label classification. - Ding Li 005; Kyle Sawyer; Scott Dick (NAFIPS/WConSC, 2015)

Multi-variate timeseries forecasting using complex fuzzy logic. - Omolbanin Yazdanbakhsh; Scott Dick (NAFIPS/WConSC, 2015)

Interval-valued complex fuzzy logic. - Sarah Greenfield; Francisco Chiclana; Scott Dick (FUZZ-IEEE, 2016)

ANCFIS-ELM: A machine learning algorithm based on complex fuzzy sets. - Omolbanin Yazdanbakhsh; Scott Dick (FUZZ-IEEE, 2016)

Whole-house Non-Intrusive Appliance Load Monitoring via multi-label classification. - Ding Li 005; Scott Dick (IJCNN, 2016)

Join and meet operations for interval-valued complex fuzzy logic. - Sarah Greenfield; Francisco Chiclana; Scott Dick (NAFIPS, 2016)

On deterministic chaos in software reliability growth models. - Omolbanin Yazdanbakhsh; Scott Dick; Ian Reay; E. Mace (Appl. Soft Comput., 2016)

An investigation of implicit features in compression-based learning for comparing webpages. - Teh-Chung Chen; Torin Stepan; Scott Dick; James Miller 001 (Pattern Anal. Appl., 2016)

Incorporating Spatial, Temporal, and Social Context in Recommendations for Location-Based Social Networks. - Torin Stepan; Jason M. Morawski; Scott Dick; James Miller 001 (IEEE Trans. Comput. Soc. Syst., 2016)

On Pythagorean and Complex Fuzzy Set Operations. - Scott Dick; Ronald R. Yager; Omolbanin Yazdanbakhsh (IEEE Trans. Fuzzy Syst., 2016)

A graph-based semi-supervised learning approach towards household energy disaggregation. - Ding Li 005; Scott Dick (FUZZ-IEEE, 2017)

Inductive learning of classifiers via complex fuzzy sets and logic. - Mojtaba Yeganejou; Scott Dick (FUZZ-IEEE, 2017)

A Fuzzy Recommender System for Public Library Catalogs. - Jason M. Morawski; Torin Stepan; Scott Dick; James Miller 001 (Int. J. Intell. Syst., 2017)

An intelligent system for livestock disease surveillance. - Omolbanin Yazdanbakhsh; Yu Zhou; Scott Dick (Inf. Sci., 2017)

Toward Non-Intrusive Load Monitoring via Multi-Label Classification. - Seyed Mostafa Tabatabaei; Scott Dick; Wilsun Xu (IEEE Trans. Smart Grid, 2017)

Forecasting of Multivariate Time Series via Complex Fuzzy Logic. - Omolbanin Yazdanbakhsh; Scott Dick (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Classification via Deep Fuzzy c-Means Clustering. - Mojtaba Yeganejou; Scott Dick (FUZZ-IEEE, 2018)

A systematic review of complex fuzzy sets and logic. - Omolbanin Yazdanbakhsh; Scott Dick (Fuzzy Sets Syst., 2018)

Improved Deep Fuzzy Clustering for Accurate and Interpretable Classifiers. - Mojtaba Yeganejou; Scott Dick (FUZZ-IEEE, 2019)

Integrating Antonyms in Fuzzy Inferential Systems via Anti-membership. - Scott Dick; Peter Sussner (IFSA/NAFIPS, 2019)

Multivariate Time Series Classification using Dilated Convolutional Neural Network. - Omolbanin Yazdanbakhsh; Scott Dick (CoRR, 2019)

FANCFIS: Fast adaptive neuro-complex fuzzy inference system. - Omolbanin Yazdanbakhsh; Scott Dick (Int. J. Approx. Reason., 2019)

Synthetic minority oversampling for function approximation problems. - Lourdes Pelayo; Scott Dick (Int. J. Intell. Syst., 2019)

Residential Household Non-Intrusive Load Monitoring via Graph-Based Multi-Label Semi-Supervised Learning. - Ding Li 005; Scott Dick (IEEE Trans. Smart Grid, 2019)

A Deep Neuro-Fuzzy Network for Image Classification. - Omolbanin Yazdanbakhsh; Scott Dick (CoRR, 2020)

Interpretable Deep Convolutional Fuzzy Classifier. - Mojtaba Yeganejou; Scott Dick; James Miller 001 (IEEE Trans. Fuzzy Syst., 2020)

Surgical Skill Evaluation From Robot-Assisted Surgery Recordings. - Abed Soleymani; Ali Akbar Sadat Asl; Mojtaba Yeganejou; Scott Dick; Mahdi Tavakoli; Xingyu Li (ISMR, 2021)

A Scalable Blockchain-based Smart Contract Model for Decentralized Voltage Stability Using Sharding Technique. - Kimia Honari; Xiaotian Zhou; Sara Rouhani; Scott Dick; Hao Liang 002; Yunwei Li; James Miller 001 (Blockchain, 2022)

An End-to-End Trainable Deep Convolutional Neuro-Fuzzy Classifier. - Mojtaba Yeganejou; Ryan Kluzinski; Scott Dick; James Miller 001 (FUZZ-IEEE, 2022)

Fuzzy expert systems for prediction of ICU admission in patients with COVID-19. - Ali Akbar Sadatasl; Mohammad Mahdi Ershadi; Shahabeddin Sotudian; Xingyu Li; Scott Dick (Intell. Decis. Technol., 2022)

On Complex Fuzzy S-Implications. - Scott Dick (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Accurate and Explainable Retinal Disease Recognition via DCNFIS. - Mojtaba Yeganejou; Mohammad Keshmiri; Scott Dick (NAFIPS, 2023)

DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System. - Mojtaba Yeganejou; Kimia Honari; Ryan Kluzinski; Scott Dick; Michael Lipsett; James Miller 001 (CoRR, 2023)

Condition Monitoring and Fault Detection in Small Induction Motors Using Machine Learning Algorithms. - Sayedabbas Sobhi; MohammadHossein Reshadi; Nick Zarft; Albert Terheide; Scott Dick (Inf., 2023)

An investigation of complex fuzzy sets for large-scale learning. - Sayedabbas Sobhi; Scott Dick (Fuzzy Sets Syst., 2023)

Deep-Shallow Metaclassifier with Synthetic Minority Oversampling for Anomaly Detection in a Time Series. - MohammadHossein Reshadi; Wen Li; Wenjie Xu; Precious Omashor; Albert Dinh; Scott Dick; Yuntong She; Michael Lipsett (Algorithms, 2024)

Correction: Reshadi et al. Deep-Shallow Metaclassifier with Synthetic Minority Oversampling for Anomaly Detection in a Time Series. Algorithms 2024, 17, 114. - MohammadHossein Reshadi; Wen Li; Wenjie Xu; Precious Omashor; Albert Dinh; Jun Xiao; Scott Dick; Yuntong She; Michael Lipsett (Algorithms, 2024)

The Lock Generative Adversarial Network for Medical Waveform Anomaly Detection. - Wenjie Xu; Scott Dick (CoRR, 2025)

Blockchain-Based Decentralized Stochastic Energy Management in IoT-Enabled Smart Grid With Voltage Regulation Coordination. - Xiaotian Zhou; Kimia Honari; Hao Liang 002; Sara Rouhani; Scott Dick (IEEE Internet Things J., 2025)