Luis Rueda
Orcid: 0000-0001-7988-2058Affiliations:
- University of Windsor, ON, Canada
- University of Concepción, Chile (former)
- Carleton University, Ottawa, ON, Canada (PhD 2002)
According to our database1,
Luis Rueda
authored at least 139 papers
between 2000 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Robust Emotion Recognition in EEG Signals Based on a Combination of Multiple Domain Adaptation Techniques.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Lung Nodule Segmentation on CT Scan Images Using Patchwise Iterative Graph Clustering.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Examining the Performance of Melanoma Classification using Superpixel Segmentation: A Comparative Analysis.
Proceedings of the International Conference on Microelectronics, 2023
2022
Identification of Enriched Regions in ChIP-Seq Data via a Linear-Time Multi-Level Thresholding Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Computationally repurposing drugs for breast cancer subtypes using a network-based approach.
BMC Bioinform., 2022
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
Heart Disease Prediction Using Adaptive Infinite Feature Selection and Deep Neural Networks.
Proceedings of the 2022 International Conference on Artificial Intelligence in Information and Communication, 2022
DeePSLiM: A Deep Learning Approach to Identify Predictive Short-linear Motifs for Protein Sequence Classification.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022
NICASN: Non-negative Matrix Factorization and Independent Component Analysis for Clustering Social Networks.
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022
2021
Comput. Secur., 2021
2020
A novel approach to identify subtype-specific network biomarkers of breast cancer survivability.
Netw. Model. Anal. Health Informatics Bioinform., 2020
iSOM-GSN: an integrative approach for transforming multi-omic data into gene similarity networks via self-organizing maps.
Bioinform., 2020
Proceedings of the Bioinformatics and Biomedical Engineering, 2020
Proceedings of the Bioinformatics and Biomedical Engineering, 2020
Unsupervised Identification of SARS-CoV-2 Target Cell Groups via Nonlinear Dimensionality Reduction on Single-cell RNA-Seq Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
A Gene-disease-based Machine Learning Approach to Identify Prostate Cancer Biomarkers.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
A Deep Learning Model to Identify a Genomic Signature Driving Sporadic Colorectal Cancer in Young Adults.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
2018
The predictive performance of short-linear motif features in the prediction of calmodulin-binding proteins.
BMC Bioinform., 2018
Identification of the Treatment Survivability Gene Biomarkers of Breast Cancer Patients via a Tree-Based Approach.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018
Proceedings of the Bioinformatics and Biomedical Engineering, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Identification of User Behavioral Biometrics for Authentication Using Keystroke Dynamics and Machine Learning.
Proceedings of the 2018 2nd International Conference on Biometric Engineering and Applications, 2018
2017
An Integrative Approach for Identifying Network Biomarkers of Breast Cancer Subtypes Using Genomic, Interactomic, and Transcriptomic Data.
J. Comput. Biol., 2017
J. Comput. Biol., 2017
Proceedings of the Bioinformatics and Biomedical Engineering, 2017
Finding Transcripts Associated with Prostate Cancer Gleason Stages Using Next Generation Sequencing and Machine Learning Techniques.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Multi-class heteroscedastic linear dimensionality reduction scheme for diagnosing process faults.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
Predicting Breast Cancer Outcome under Different Treatments by Feature Selection Approaches.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
A novel model used to detect differential splice junctions as biomarkers in prostate cancer from RNA-Seq data.
J. Biomed. Informatics, 2016
Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning.
F1000Research, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Efficient feature extraction of vibration signals for diagnosing bearing defects in induction motors.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
A new feature selection approach for optimizing prediction models, applied to breast cancer subtype classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
2015
Pattern classification using a new border identification paradigm: The nearest border technique.
Neurocomputing, 2015
A Computational Domain-Based Feature Grouping Approach for Prediction of Stability of SCF Ligases.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015
Identifying differentially expressed transcripts associated with prostate cancer progression using RNA-Seq and machine learning techniques.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015
Prediction of high-throughput protein-protein interactions based on protein sequence information.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
ZSeq 2.0: A fully automatic preprocessing method for next generation sequencing data.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
Proceedings of the IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, 2014
Proceedings of the IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, 2014
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014
Proceedings of the 5th ACM Conference on Bioinformatics, 2014
2013
Using desolvation energies of structural domains to predict stability of protein complexes.
Netw. Model. Anal. Health Informatics Bioinform., 2013
Proceedings of the Pattern Recognition in Bioinformatics, 2013
Prediction of Biological Protein-protein Interaction Types Using Short-Linear Motifs.
Proceedings of the ACM Conference on Bioinformatics, 2013
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
2012
Proceedings of the Pattern Recognition in Bioinformatics, 2012
Using structural domains to predict obligate and non-obligate protein-protein interactions.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012
A model to predict and analyze protein-protein interaction types using electrostatic energies.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
Proceedings of the ACM International Conference on Bioinformatics, 2012
Multi-level structural domain-domain interactions for prediction of obligate and non-obligate protein-protein interactions.
Proceedings of the ACM International Conference on Bioinformatics, 2012
2011
Int. J. Data Min. Bioinform., 2011
New Gene Subset Selection Approaches Based on Linear Separating Genes and Gene-Pairs.
Proceedings of the Pattern Recognition in Bioinformatics, 2011
Analysis of obligate and non-obligate complexes using desolvation energies in domain-domain interactions.
Proceedings of the Tenth International Workshop on Data Mining in Bioinformatics, 2011
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011
Domain-domain interactions in obligate and non-obligate protein-protein interactions.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
Analysis of relevant physicochemical properties in obligate and non-obligate protein-protein interactions.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
Proceedings of the 11th IEEE International Conference on Bioinformatics and Bioengineering, 2011
Proceedings of the ACM International Conference on Bioinformatics, 2011
2010
Selection based heuristics for the non-unique oligonucleotide probe selection problem in microarray design.
Pattern Recognit. Lett., 2010
Pattern Recognit., 2010
Multiple gene expression profile alignment for microarray time-series data clustering.
Bioinform., 2010
Biological Protein-Protein Interaction Prediction Using Binding Free Energies and Linear Dimensionality Reduction.
Proceedings of the Pattern Recognition in Bioinformatics, 2010
Sub-grid and Spot Detection in DNA Microarray Images Using Optimal Multi-level Thresholding.
Proceedings of the Pattern Recognition in Bioinformatics, 2010
New approaches to clustering microarray time-series data using multiple expression profile alignment.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Protein-protein interaction prediction using desolvation energies and interface properties.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
Alignment-based versus variation-based transformation methods for clustering microarray time-series data.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010
2009
Microarray Time-Series Data Clustering via Multiple Alignment of Gene Expression Profiles.
Proceedings of the Pattern Recognition in Bioinformatics, 2009
Proceedings of the Pattern Recognition in Bioinformatics, 2009
Proceedings of the Pattern Recognition in Bioinformatics, 2009
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009
2008
Trans. Comp. Sys. Biology, 2008
Trans. Comp. Sys. Biology, 2008
A theoretical comparison of two-class Fisher's and heteroscedastic linear dimensionality reduction schemes.
Pattern Recognit. Lett., 2008
Linear dimensionality reduction by maximizing the Chernoff distance in the transformed space.
Pattern Recognit., 2008
An efficient compression scheme for data communication which uses a new family of self-organizing binary search trees.
Int. J. Commun. Syst., 2008
An Efficient Algorithm for Optimal Multilevel Thresholding of Irregularly Sampled Histograms.
Proceedings of the Structural, 2008
Sequential Forward Selection Approach to the Non-unique Oligonucleotide Probe Selection Problem.
Proceedings of the Pattern Recognition in Bioinformatics, 2008
Evolution strategy with greedy probe selection heuristics for the non-unique oligonucleotide probe selection problem.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008
Proceedings of the Progress in Pattern Recognition, 2008
2007
J. Multiple Valued Log. Soft Comput., 2007
Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 2007
Processing Random Amplified Polymorphysm DNA Images Using the Radon Transform and Mathematical Morphology.
Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007
Proceedings of the 2nd International ICST Conference on Bio-Inspired Models of Network, 2007
2006
Stochastic Automata-Based Estimators for Adaptively Compressing Files With Nonstationary Distributions.
IEEE Trans. Syst. Man Cybern. Part B, 2006
IEEE ACM Trans. Comput. Biol. Bioinform., 2006
Pattern Recognit., 2006
Stochastic learning-based weak estimation of multinomial random variables and its applications to pattern recognition in non-stationary environments.
Pattern Recognit., 2006
Proceedings of the Advances in Artificial Intelligence, 2006
Proceedings of the Progress in Pattern Recognition, 2006
Proceedings of the Progress in Pattern Recognition, 2006
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006
Proceedings of the Advances in Artificial Intelligence, 2006
On the Performance of Chernoff-Distance-Based Linear Dimensionality Reduction Techniques.
Proceedings of the Advances in Artificial Intelligence, 2006
2005
A one-dimensional analysis for the probability of error of linear classifiers for normally distributed classes.
Pattern Recognit., 2005
Proceedings of the XXV International Conference of the Chilean Computer Science Society, 2005
A simulated annealing approach to find the optimal parameters for fuzzy clustering microarray data.
Proceedings of the XXV International Conference of the Chilean Computer Science Society, 2005
On Utilizing Stochastic Learning Weak Estimators for Training and Classification of Patterns with Non-stationary Distributions.
Proceedings of the KI 2005: Advances in Artificial Intelligence, 2005
Proceedings of the Computer and Information Sciences, 2005
Proceedings of the Image Analysis and Recognition, Second International Conference, 2005
Proceedings of the Image Analysis and Recognition, Second International Conference, 2005
Fast Protein Superfamily Classification Using Principal Component Null Space Analysis.
Proceedings of the Advances in Artificial Intelligence, 2005
2004
Selecting the best hyperplane in the framework of optimal pairwise linear classifiers.
Pattern Recognit. Lett., 2004
An efficient approach to compute the threshold for multi-dimensional linear classifiers.
Pattern Recognit., 2004
Proceedings of the Structural, 2004
Proceedings of the Image Analysis and Recognition: International Conference, 2004
An Empirical Evaluation of the Classification Error of Two Thresholding Methods for Fisher's Classifier.
Proceedings of the International Conference on Artificial Intelligence, 2004
Proceedings of the Progress in Pattern Recognition, 2004
On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data.
Proceedings of the Advances in Information Systems, Third International Conference, 2004
2003
On optimal pairwise linear classifiers for normal distributions: the d-dimensional case.
Pattern Recognit., 2003
An Empirical Analysis of Traditional and Optimal Pairwise Linear Classifiers on Standard Benchmarks.
Proceedings of the Pattern Recognition in Information Systems, 2003
A New Approach That Selects a Single Hyperplane from the Optimal Pairwise Linear Classifier.
Proceedings of the Progress in Pattern Recognition, 2003
2002
On Optimal Pairwise Linear Classifiers for Normal Distributions: The Two-Dimensional Case.
IEEE Trans. Pattern Anal. Mach. Intell., 2002
Comput. J., 2002
Using Pattern Recognition Techniques to Derive a Formal Analysis of Why Heuristics Functions Work.
Proceedings of the Pattern Recognition in Information Systems, 2002
2001
Proceedings of the IEEE International Conference on Systems, 2001
Histogram Methods in Query Optimization: The Relation between Accuracy and Optimality.
Proceedings of the Database Systems for Advanced Applications, Proceedings of the 7th International Conference on Database Systems for Advanced Applications (DASFAA 2001), 18-20 April 2001, 2001
Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001
2000
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000
An Empirical Comparison of Histogram-Like Techniques for Query Optimization.
Proceedings of the ICEIS 2000, 2000