Scott Dick, University of Alberta

Research

Computational Intelligence Deep Learning Expalinable Artificial Intelligence Fuzzy Logic Machine Learning

Latest papers

Semi-supervised multi-label classification using an extended graph-based manifold regularization.
Complex & intelligent systems · 2022 · senior author
Improved sequence-based prediction of strand residues.
Journal of bioinformatics and computational biology · 2011
CRYSTALP2: sequence-based protein crystallization propensity prediction.
BMC structural biology · 2009

All 7 publications

Latest funding

Improving the Explainability and Robustness of Deep Learning via Computational Intelligence
NSERC · 2023 · Principal investigator
$82,000
Intelligent condition monitoring for small induction motors
NSERC · 2017 · Principal investigator
$25,000
Investigating the theory, operationalization, and practical applications of complex fuzzy logic
NSERC · 2017 · Principal investigator
$138,000

All 11 grants and awards

7 publications.

01

Semi-supervised multi-label classification using an extended graph-based manifold regularization.

Li D, Dick S

Complex & intelligent systems2022Senior author

DOI: 10.1007/s40747-021-00611-7 PMID: 35535331

02

Improved sequence-based prediction of strand residues.

Kedarisetti KD, Mizianty MJ, Dick S, Kurgan L

Journal of bioinformatics and computational biology2011

DOI: 10.1142/s0219720011005355 PMID: 21328707

03

CRYSTALP2: sequence-based protein crystallization propensity prediction.

Kurgan L, Razib AA, Aghakhani S, Dick S, Mizianty M, Jahandideh S

BMC structural biology2009

DOI: 10.1186/1472-6807-9-50 PMID: 19646256

04

Searching for factors that distinguish disease-prone and disease-resistant prions via sequence analysis.

Kedarisetti KD, Dick S, Kurgan L

Bioinformatics and biology insights2008

DOI: 10.4137/bbi.s550 PMID: 19812771

05

A comment on "Prediction of protein structural classes by a new measure of information discrepancy".

Kedarisetti KD, Kurgan L, Dick S

Computational biology and chemistry2006Senior author

DOI: 10.1016/j.compbiolchem.2006.06.003 PMID: 16872905

06

Classifier ensembles for protein structural class prediction with varying homology.

Kedarisetti KD, Kurgan L, Dick S

Biochemical and biophysical research communications2006Senior author

DOI: 10.1016/j.bbrc.2006.07.141 PMID: 16904630

07

Highly scalable and robust rule learner: performance evaluation and comparison.

Kurgan LA, Cios KJ, Dick S

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society2006Senior author

DOI: 10.1109/tsmcb.2005.852983 PMID: 16468565