Scott Dick

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 36

Top Topics

Convolutional Neural Network

Disease Surveillance

Supervised Learning

Top Venues

IEEE Trans. Smart Grid

Publications

MohammadHossein Reshadi, Wen Li, Wenjie Xu, Precious Omashor, Albert Dinh, Scott Dick, Yuntong She, Michael Lipsett
Deep-Shallow Metaclassifier with Synthetic Minority Oversampling for Anomaly Detection in a Time Series. Algorithms 17 (3) (2024)
Sayedabbas Sobhi, Scott Dick
An investigation of complex fuzzy sets for large-scale learning. Fuzzy Sets Syst. 471 (2023)
Mojtaba Yeganejou, Kimia Honari, Ryan Kluzinski, Scott Dick, Michael Lipsett, James Miller
DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System. CoRR (2023)
Sayedabbas Sobhi, MohammadHossein Reshadi, Nick Zarft, Albert Terheide, Scott Dick
Condition Monitoring and Fault Detection in Small Induction Motors Using Machine Learning Algorithms. Inf. 14 (6) (2023)
Mojtaba Yeganejou, Mohammad Keshmiri, Scott Dick
Accurate and Explainable Retinal Disease Recognition via DCNFIS. NAFIPS (2023)
Mojtaba Yeganejou, Ryan Kluzinski, Scott Dick, James Miller
An End-to-End Trainable Deep Convolutional Neuro-Fuzzy Classifier. FUZZ-IEEE (2022)
Kimia Honari, Xiaotian Zhou, Sara Rouhani, Scott Dick, Hao Liang, Yunwei Li, James Miller
A Scalable Blockchain-based Smart Contract Model for Decentralized Voltage Stability Using Sharding Technique. CoRR (2022)
Kimia Honari, Xiaotian Zhou, Sara Rouhani, Scott Dick, Hao Liang, Yunwei Li, James Miller
A Scalable Blockchain-based Smart Contract Model for Decentralized Voltage Stability Using Sharding Technique. Blockchain (2022)
Scott Dick
On Complex Fuzzy S-Implications. IEEE Trans. Emerg. Top. Comput. Intell. 6 (2) (2022)
Abed Soleymani, Ali Akbar Sadat Asl, Mojtaba Yeganejou, Scott Dick, Mahdi Tavakoli, Xingyu Li
Surgical Skill Evaluation From Robot-Assisted Surgery Recordings. ISMR (2021)
Mojtaba Yeganejou, Scott Dick, James Miller
Interpretable Deep Convolutional Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 28 (7) (2020)
Omolbanin Yazdanbakhsh, Scott Dick
A Deep Neuro-Fuzzy Network for Image Classification. CoRR (2020)
Omolbanin Yazdanbakhsh, Scott Dick
Multivariate Time Series Classification using Dilated Convolutional Neural Network. CoRR (2019)
Omolbanin Yazdanbakhsh, Scott Dick
FANCFIS: Fast adaptive neuro-complex fuzzy inference system. Int. J. Approx. Reason. 105 (2019)
Mojtaba Yeganejou, Scott Dick
Improved Deep Fuzzy Clustering for Accurate and Interpretable Classifiers. FUZZ-IEEE (2019)
Lourdes Pelayo, Scott Dick
Synthetic minority oversampling for function approximation problems. Int. J. Intell. Syst. 34 (11) (2019)
Scott Dick, Peter Sussner
Integrating Antonyms in Fuzzy Inferential Systems via Anti-membership. IFSA/NAFIPS (2019)
Ding Li, Scott Dick
Residential Household Non-Intrusive Load Monitoring via Graph-Based Multi-Label Semi-Supervised Learning. IEEE Trans. Smart Grid 10 (4) (2019)
Omolbanin Yazdanbakhsh, Scott Dick
A systematic review of complex fuzzy sets and logic. Fuzzy Sets Syst. 338 (2018)
Mojtaba Yeganejou, Scott Dick
Classification via Deep Fuzzy c-Means Clustering. FUZZ-IEEE (2018)
Omolbanin Yazdanbakhsh, Scott Dick
Forecasting of Multivariate Time Series via Complex Fuzzy Logic. IEEE Trans. Syst. Man Cybern. Syst. 47 (8) (2017)
Omolbanin Yazdanbakhsh, Yu Zhou, Scott Dick
An intelligent system for livestock disease surveillance. Inf. Sci. 378 (2017)
Seyed Mostafa Tabatabaei, Scott Dick, Wilsun Xu
Toward Non-Intrusive Load Monitoring via Multi-Label Classification. IEEE Trans. Smart Grid 8 (1) (2017)
Ding Li, Scott Dick
A graph-based semi-supervised learning approach towards household energy disaggregation. FUZZ-IEEE (2017)
Mojtaba Yeganejou, Scott Dick
Inductive learning of classifiers via complex fuzzy sets and logic. FUZZ-IEEE (2017)
Jason M. Morawski, Torin Stepan, Scott Dick, James Miller
A Fuzzy Recommender System for Public Library Catalogs. Int. J. Intell. Syst. 32 (10) (2017)
Omolbanin Yazdanbakhsh, Scott Dick, Ian Reay, E. Mace
On deterministic chaos in software reliability growth models. Appl. Soft Comput. 49 (2016)
Scott Dick, Ronald R. Yager, Omolbanin Yazdanbakhsh
On Pythagorean and Complex Fuzzy Set Operations. IEEE Trans. Fuzzy Syst. 24 (5) (2016)
Torin Stepan, Jason M. Morawski, Scott Dick, James Miller
Incorporating Spatial, Temporal, and Social Context in Recommendations for Location-Based Social Networks. IEEE Trans. Comput. Soc. Syst. 3 (4) (2016)
Sarah Greenfield, Francisco Chiclana, Scott Dick
Join and meet operations for interval-valued complex fuzzy logic. NAFIPS (2016)
Ding Li, Scott Dick
Whole-house Non-Intrusive Appliance Load Monitoring via multi-label classification. IJCNN (2016)
Sarah Greenfield, Francisco Chiclana, Scott Dick
Interval-valued complex fuzzy logic. FUZZ-IEEE (2016)
Teh-Chung Chen, Torin Stepan, Scott Dick, James Miller
An investigation of implicit features in compression-based learning for comparing webpages. Pattern Anal. Appl. 19 (2) (2016)
Omolbanin Yazdanbakhsh, Scott Dick
ANCFIS-ELM: A machine learning algorithm based on complex fuzzy sets. FUZZ-IEEE (2016)
Omolbanin Yazdanbakhsh, Scott Dick
Multi-variate timeseries forecasting using complex fuzzy logic. NAFIPS/WConSC (2015)
Ding Li, Kyle Sawyer, Scott Dick
Disaggregating household loads via semi-supervised multi-label classification. NAFIPS/WConSC (2015)
Scott Dick, Omolbanin Yazdanbakhsh, Xiuli Tang, Toan Huynh, James Miller
An empirical investigation of Web session workloads: Can self-similarity be explained by deterministic chaos? Inf. Process. Manag. 50 (1) (2014)
Teh-Chung Chen, Torin Stepan, Scott Dick, James Miller
An Anti-Phishing System Employing Diffused Information. ACM Trans. Inf. Syst. Secur. 16 (4) (2014)
Scott Dick, Andrew Tappenden, Curtis Badke, Olufemi Olarewaju
A granular neural network: Performance analysis and application to re-granulation. Int. J. Approx. Reason. 54 (8) (2013)
Omolbanin Yazdanbakhsh, Alix Krahn, Scott Dick
Predicting solar power output using complex fuzzy logic. IFSA/NAFIPS (2013)
Ian Reay, Patricia Beatty, Scott Dick, James Miller
Privacy policies and national culture on the internet. Inf. Syst. Frontiers 15 (2) (2013)
Lourdes Pelayo, Scott Dick
Evaluating Stratification Alternatives to Improve Software Defect Prediction. IEEE Trans. Reliab. 61 (2) (2012)
Patricia Beatty, Ian Reay, Scott Dick, James Miller
Consumer trust in e-commerce web sites: A meta-study. ACM Comput. Surv. 43 (3) (2011)
Kanaka Durga Kedarisetti, Marcin J. Mizianty, Scott Dick, Lukasz A. Kurgan
Improved Sequence-Based Prediction of Strand residues. J. Bioinform. Comput. Biol. 9 (1) (2011)
Zhifei Chen, Sara Aghakhani, James Man, Scott Dick
ANCFIS: A Neurofuzzy Architecture Employing Complex Fuzzy Sets. IEEE Trans. Fuzzy Syst. 19 (2) (2011)
Sara Aghakhani, Scott Dick
An on-line learning algorithm for complex fuzzy logic. FUZZ-IEEE (2010)
Teh-Chung Chen, Scott Dick, James Miller
Detecting visually similar Web pages: Application to phishing detection. ACM Trans. Internet Techn. 10 (2) (2010)
Ejike Ofuonye, Patricia Beatty, Scott Dick, James Miller
Prevalence and classification of web page defects. Online Inf. Rev. 34 (1) (2010)
Ian Reay, Scott Dick, James Miller
A large-scale empirical study of P3P privacy policies: Stated actions vs. legal obligations. ACM Trans. Web 3 (2) (2009)
Ali Razib, Scott Dick, Vincent C. Gaudet
Design of a High-Speed Fuzzy Logic Controller Based on Log-Domain Arithmetic. ISMVL (2009)
Ian Reay, Patricia Beatty, Scott Dick, James Miller
Do You Know Where Your Data Is? A Study of the Effect of Enforcement Strategies on Privacy Policies. Int. J. Inf. Secur. Priv. 3 (4) (2009)
Ian Reay, Scott Dick, James Miller
An analysis of privacy signals on the World Wide Web: Past, present and future. Inf. Sci. 179 (8) (2009)
Ejike Ofuonye, Patricia Beatty, Ian Reay, Scott Dick, James Miller
How Do We Build Trust into E-commerce Web Sites? IEEE Softw. 25 (5) (2008)
Patricia Beatty, Scott Dick, James Miller
Is HTML in a Race to the Bottom? A Large-Scale Survey and Analysis of Conformance to W3C Standards. IEEE Internet Comput. 12 (2) (2008)
Patricia Beatty, Ian Reay, Scott Dick, James Miller
P3P Adoption on E-Commerce Web sites: A Survey and Analysis. IEEE Internet Comput. 11 (2) (2007)
Scott Dick, Cindy L. Bethel, Abraham Kandel
Software-Reliability Modeling: The Case for Deterministic Behavior. IEEE Trans. Syst. Man Cybern. Part A 37 (1) (2007)
Ian Reay, Patricia Beatty, Scott Dick, James Miller
A Survey and Analysis of the P3P Protocol's Agents, Adoption, Maintenance, and Future. IEEE Trans. Dependable Secur. Comput. 4 (2) (2007)
Scott Dick, Adam Schenker, Witold Pedrycz, Abraham Kandel
Regranulation: A granular algorithm enabling communication between granular worlds. Inf. Sci. 177 (2) (2007)
Hui Li, Scott Dick
A similarity measure for fuzzy rulebases based on linguistic gradients. Inf. Sci. 176 (20) (2006)
Lukasz A. Kurgan, Krzysztof J. Cios, Scott Dick
Highly scalable and robust rule learner: performance evaluation and comparison. IEEE Trans. Syst. Man Cybern. Part B 36 (1) (2006)
Scott Dick, Aina Sadia
Fuzzy Clustering of Open-Source Software Quality Data: A Case Study of Mozilla. IJCNN (2006)
Kanaka Durga Kedarisetti, Lukasz A. Kurgan, Scott Dick
A comment on "Prediction of protein structural classes by a new measure of information discrepancy". Comput. Biol. Chem. 30 (5) (2006)
Scott Dick
Toward complex fuzzy logic. IEEE Trans. Fuzzy Syst. 13 (3) (2005)
Scott Dick, Aleksandra Meeks, Mark Last, Horst Bunke, Abraham Kandel
Data mining in software metrics databases. Fuzzy Sets Syst. 145 (1) (2004)
Scott Dick, Abraham Kandel
Fuzzy clustering of software metrics. FUZZ-IEEE (2003)
Scott Dick, Wladimir Rodriguez, Abraham Kandel
A granular counterpart to the gradient operator. Soft Comput. 6 (2) (2002)
Scott Dick, Adam Schenker, Mark Last, Horst Bunke, Abraham Kandel
Re-granulating a Fuzzy Rulebase. FUZZ-IEEE (2001)
Scott Dick, Abraham Kandel
The linguistic gradient of a fuzzy logic rule-base. FUZZ-IEEE (2000)
Scott Dick, Abraham Kandel
Comment on "William E. Combs: Combinatorial rule explosion eliminated by a fuzzy rule configuration" [and reply]. IEEE Trans. Fuzzy Syst. 7 (4) (1999)