Luis Rueda
Luis Rueda
Professor, School of Computer Science, University of Windsor
Verified email at - Homepage
Cited by
Cited by
A machine learning approach for identifying gene biomarkers guiding the treatment of breast cancer
AA Tabl, A Alkhateeb, W ElMaraghy, L Rueda, A Ngom
Frontiers in genetics 10, 256, 2019
Stochastic learning-based weak estimation of multinomial random variables and its applications to pattern recognition in non-stationary environments
BJ Oommen, L Rueda
Pattern Recognition 39 (3), 328-341, 2006
Cyber child pornography: A review paper of the social and legal issues and remedies—and a proposed technological solution
BH Schell, MV Martin, PCK Hung, L Rueda
Aggression and violent behavior 12 (1), 45-63, 2007
Identification of user behavioral biometrics for authentication using keystroke dynamics and machine learning
S Krishnamoorthy, L Rueda, S Saad, H Elmiligi
Proceedings of the 2018 2nd international conference on biometricá…, 2018
A hill-climbing approach for automatic gridding of cDNA microarray images
L Rueda, V Vidyadharan
IEEE/ACM Transactions on Computational Biology and Bioinformatics 3 (1), 72-83, 2006
Transcriptomics signature from next-generation sequencing data reveals new transcriptomic biomarkers related to prostate cancer
A Alkhateeb, I Rezaeian, S Singireddy, D Cavallo-Medved, LA Porter, ...
Cancer informatics 18, 1176935119835522, 2019
A fully automatic gridding method for cDNA microarray images
L Rueda, I Rezaeian
BMC bioinformatics 12, 1-17, 2011
Linear dimensionality reduction by maximizing the Chernoff distance in the transformed space
L Rueda, M Herrera
Pattern Recognition 41 (10), 3138-3152, 2008
Spot detection and image segmentation in DNA microarray data
L Qin, L Rueda, A Ali, A Ngom
Applied Bioinformatics 4, 1-11, 2005
Cryptosystem for data security
BJ Oommen, LG Rueda
US Patent 7,508,935, 2009
The circadian clock gene, Bmal1, regulates intestinal stem cell signaling and represses tumor initiation
K Stokes, M Nunes, C Trombley, DEFL Fl˘res, G Wu, Z Taleb, ...
Cellular and molecular gastroenterology and hepatology 12 (5), 1847-1872. e0, 2021
Predicting outcomes of hormone and chemotherapy in the molecular taxonomy of breast cancer international consortium (METABRIC) study by biochemically-inspired machine learning
EJ Mucaki, K Baranova, HQ Pham, I Rezaeian, D Angelov, A Ngom, ...
F1000Research 5, 2016
On optimal pairwise linear classifiers for normal distributions: the two-dimensional case
L Rueda, BJ Oommen
IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (2), 274-280, 2002
Prediction of tumor location in prostate cancer tissue using a machine learning system on gene expression data
O Hamzeh, A Alkhateeb, J Zheng, S Kandalam, L Rueda
BMC bioinformatics 21, 1-10, 2020
Multiple gene expression profile alignment for microarray time-series data clustering
N Subhani, L Rueda, A Ngom, CJ Burden
Bioinformatics 26 (18), 2281-2288, 2010
A novel approach to identify subtype-specific network biomarkers of breast cancer survivability
S Jubair, A Alkhateeb, AA Tabl, L Rueda, A Ngom
Network Modeling Analysis in Health Informatics and Bioinformatics 9, 1-12, 2020
Efficient feature extraction of vibration signals for diagnosing bearing defects in induction motors
M Farajzadeh-Zanjani, R Razavi-Far, M Saif, L Rueda
2016 International Joint Conference on Neural Networks (IJCNN), 4504-4511, 2016
A formal analysis of why heuristic functions work
BJ Oommen, LG Rueda
Artificial Intelligence 164 (1-2), 1-22, 2005
The role of electrostatic energy in prediction of obligate protein-protein interactions
M Maleki, G Vasudev, L Rueda
Proteome science 11, 1-12, 2013
A hierarchical machine learning model to discover gleason grade-specific biomarkers in prostate cancer
O Hamzeh, A Alkhateeb, JZ Zheng, S Kandalam, C Leung, G Atikukke, ...
Diagnostics 9 (4), 219, 2019
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