Scott Dick

According to our database, Scott Dick authored at least 70 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

An investigation of complex fuzzy sets for large-scale learning.

Sayedabbas Sobhi, Scott Dick

Fuzzy Sets Syst., November, 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

DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System.

Mojtaba Yeganejou, Kimia Honari, Ryan Kluzinski, Scott Dick, Michael Lipsett, James Miller

CoRR, 2023

Accurate and Explainable Retinal Disease Recognition via DCNFIS.

Mojtaba Yeganejou, Mohammad Keshmiri, Scott Dick

Proceedings of the Fuzzy Information Processing 2023, 2023

2022

On Complex Fuzzy S-Implications.

Scott Dick

IEEE Trans. Emerg. Top. Comput. Intell., 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

An End-to-End Trainable Deep Convolutional Neuro-Fuzzy Classifier.

Mojtaba Yeganejou, Ryan Kluzinski, Scott Dick, James Miller

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

A Scalable Blockchain-based Smart Contract Model for Decentralized Voltage Stability Using Sharding Technique.

Kimia Honari, Xiaotian Zhou, Sara Rouhani, Scott Dick, Hao Liang, Yunwei Li, James Miller

Proceedings of the IEEE International Conference on Blockchain, 2022

2021

Surgical Skill Evaluation From Robot-Assisted Surgery Recordings.

Abed Soleymani, Ali Akbar Sadat Asl, Mojtaba Yeganejou, Scott Dick, Mahdi Tavakoli, Xingyu Li

Proceedings of the International Symposium on Medical Robotics, 2021

2020

Interpretable Deep Convolutional Fuzzy Classifier.

Mojtaba Yeganejou, Scott Dick, James Miller

IEEE Trans. Fuzzy Syst., 2020

A Deep Neuro-Fuzzy Network for Image Classification.

Omolbanin Yazdanbakhsh, Scott Dick

CoRR, 2020

2019

Residential Household Non-Intrusive Load Monitoring via Graph-Based Multi-Label Semi-Supervised Learning.

Ding Li, Scott Dick

IEEE Trans. Smart Grid, 2019

Synthetic minority oversampling for function approximation problems.

Lourdes Pelayo, Scott Dick

Int. J. Intell. Syst., 2019

FANCFIS: Fast adaptive neuro-complex fuzzy inference system.

Omolbanin Yazdanbakhsh, Scott Dick

Int. J. Approx. Reason., 2019

Multivariate Time Series Classification using Dilated Convolutional Neural Network.

Omolbanin Yazdanbakhsh, Scott Dick

CoRR, 2019

Integrating Antonyms in Fuzzy Inferential Systems via Anti-membership.

Scott Dick, Peter Sussner

Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

Improved Deep Fuzzy Clustering for Accurate and Interpretable Classifiers.

Mojtaba Yeganejou, Scott Dick

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

2018

A systematic review of complex fuzzy sets and logic.

Omolbanin Yazdanbakhsh, Scott Dick

Fuzzy Sets Syst., 2018

Classification via Deep Fuzzy c-Means Clustering.

Mojtaba Yeganejou, Scott Dick

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Forecasting of Multivariate Time Series via Complex Fuzzy Logic.

Omolbanin Yazdanbakhsh, Scott Dick

IEEE Trans. Syst. Man Cybern. Syst., 2017

Toward Non-Intrusive Load Monitoring via Multi-Label Classification.

Seyed Mostafa Tabatabaei, Scott Dick, Wilsun Xu

IEEE Trans. Smart Grid, 2017

An intelligent system for livestock disease surveillance.

Omolbanin Yazdanbakhsh, Yu Zhou, Scott Dick

Inf. Sci., 2017

A Fuzzy Recommender System for Public Library Catalogs.

Jason M. Morawski, Torin Stepan, Scott Dick, James Miller

Int. J. Intell. Syst., 2017

Inductive learning of classifiers via complex fuzzy sets and logic.

Mojtaba Yeganejou, Scott Dick

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

A graph-based semi-supervised learning approach towards household energy disaggregation.

Ding Li, Scott Dick

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

2016

On Pythagorean and Complex Fuzzy Set Operations.

Scott Dick, Ronald R. Yager, Omolbanin Yazdanbakhsh

IEEE Trans. Fuzzy Syst., 2016

Incorporating Spatial, Temporal, and Social Context in Recommendations for Location-Based Social Networks.

Torin Stepan, Jason M. Morawski, Scott Dick, James Miller

IEEE Trans. Comput. Soc. Syst., 2016

An investigation of implicit features in compression-based learning for comparing webpages.

Teh-Chung Chen, Torin Stepan, Scott Dick, James Miller

Pattern Anal. Appl., 2016

On deterministic chaos in software reliability growth models.

Omolbanin Yazdanbakhsh, Scott Dick, Ian Reay, E. Mace

Appl. Soft Comput., 2016

Join and meet operations for interval-valued complex fuzzy logic.

Sarah Greenfield, Francisco Chiclana, Scott Dick

Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

Whole-house Non-Intrusive Appliance Load Monitoring via multi-label classification.

Ding Li, Scott Dick

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

ANCFIS-ELM: A machine learning algorithm based on complex fuzzy sets.

Omolbanin Yazdanbakhsh, Scott Dick

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Interval-valued complex fuzzy logic.

Sarah Greenfield, Francisco Chiclana, Scott Dick

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

Multi-variate timeseries forecasting using complex fuzzy logic.

Omolbanin Yazdanbakhsh, Scott Dick

Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

Disaggregating household loads via semi-supervised multi-label classification.

Ding Li, Kyle Sawyer, Scott Dick

Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

2014

An Anti-Phishing System Employing Diffused Information.

Teh-Chung Chen, Torin Stepan, Scott Dick, James Miller

ACM Trans. Inf. Syst. Secur., 2014

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

Inf. Process. Manag., 2014

2013

Log-Domain Arithmetic for High-Speed Fuzzy Control on a Field-Programmable Gate Array.

Ali Razib, Scott Dick, Vincent C. Gaudet

Proceedings of the Soft Computing: State of the Art Theory and Novel Applications, 2013

Privacy policies and national culture on the internet.

Ian Reay, Patricia Beatty, Scott Dick, James Miller

Inf. Syst. Frontiers, 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

Predicting solar power output using complex fuzzy logic.

Omolbanin Yazdanbakhsh, Alix Krahn, Scott Dick

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

2012

Evaluating Stratification Alternatives to Improve Software Defect Prediction.

Lourdes Pelayo, Scott Dick

IEEE Trans. Reliab., 2012

2011

ANCFIS: A Neurofuzzy Architecture Employing Complex Fuzzy Sets.

Zhifei Chen, Sara Aghakhani, James Man, Scott Dick

IEEE Trans. Fuzzy Syst., 2011

Improved Sequence-Based Prediction of Strand residues.

Kanaka Durga Kedarisetti, Marcin J. Mizianty, Scott Dick, Lukasz A. Kurgan

J. Bioinform. Comput. Biol., 2011

Consumer trust in e-commerce web sites: A meta-study.

Patricia Beatty, Ian Reay, Scott Dick, James Miller

ACM Comput. Surv., 2011

2010

Detecting visually similar Web pages: Application to phishing detection.

Teh-Chung Chen, Scott Dick, James Miller

ACM Trans. Internet Techn., 2010

Prevalence and classification of web page defects.

Ejike Ofuonye, Patricia Beatty, Scott Dick, James Miller

Online Inf. Rev., 2010

An on-line learning algorithm for complex fuzzy logic.

Sara Aghakhani, Scott Dick

Proceedings of the FUZZ-IEEE 2010, 2010

2009

A large-scale empirical study of P3P privacy policies: Stated actions vs. legal obligations.

Ian Reay, Scott Dick, James Miller

ACM Trans. Web, 2009

An analysis of privacy signals on the World Wide Web: Past, present and future.

Ian Reay, Scott Dick, James Miller

Inf. Sci., 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

Int. J. Inf. Secur. Priv., 2009

Design of a High-Speed Fuzzy Logic Controller Based on Log-Domain Arithmetic.

Ali Razib, Scott Dick, Vincent C. Gaudet

Proceedings of the ISMVL 2009, 2009

2008

How Do We Build Trust into E-commerce Web Sites?

Ejike Ofuonye, Patricia Beatty, Ian Reay, Scott Dick, James Miller

IEEE Softw., 2008

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

IEEE Internet Comput., 2008

2007

Software-Reliability Modeling: The Case for Deterministic Behavior.

Scott Dick, Cindy L. Bethel, Abraham Kandel

IEEE Trans. Syst. Man Cybern. Part A, 2007

A Survey and Analysis of the P3P Protocol's Agents, Adoption, Maintenance, and Future.

Ian Reay, Patricia Beatty, Scott Dick, James Miller

IEEE Trans. Dependable Secur. Comput., 2007

Regranulation: A granular algorithm enabling communication between granular worlds.

Scott Dick, Adam Schenker, Witold Pedrycz, Abraham Kandel

Inf. Sci., 2007

P3P Adoption on E-Commerce Web sites: A Survey and Analysis.

Patricia Beatty, Ian Reay, Scott Dick, James Miller

IEEE Internet Comput., 2007

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

A similarity measure for fuzzy rulebases based on linguistic gradients.

Hui Li, Scott Dick

Inf. Sci., 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

Fuzzy Clustering of Open-Source Software Quality Data: A Case Study of Mozilla.

Scott Dick, Aina Sadia

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Computational Intelligence in Software Quality Assurance

Scott Dick, Abraham Kandel

Series in Machine Perception and Artificial Intelligence 63, WorldScientific, ISBN: 978-981-4480-89-5, 2005

Toward complex fuzzy logic.

Scott Dick

IEEE Trans. Fuzzy Syst., 2005

2004

Data mining in software metrics databases.

Scott Dick, Aleksandra Meeks, Mark Last, Horst Bunke, Abraham Kandel

Fuzzy Sets Syst., 2004

2003

Fuzzy clustering of software metrics.

Scott Dick, Abraham Kandel

Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

2002

A granular counterpart to the gradient operator.

Scott Dick, Wladimir Rodriguez, Abraham Kandel

Soft Comput., 2002

2001

Re-granulating a Fuzzy Rulebase.

Scott Dick, Adam Schenker, Mark Last, Horst Bunke, Abraham Kandel

Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000

The linguistic gradient of a fuzzy logic rule-base.

Scott Dick, Abraham Kandel

Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

1999

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