Luis Rueda

Iman Rezaeian, Luis Rueda: A new algorithm for finding enriched regions in ChIP-Seq data. BCB 2012: 282-288

Michael Hall, Mina Maleki, Luis Rueda: Multi-level structural domain-domain interactions for prediction of obligate and non-obligate protein-protein interactions. BCB 2012: 518-520

Iman Rezaeian, Luis Rueda: Finding genomic features from enriched regions in ChlP-Seq data. BIBM 2012: 1-4

Gokul Vasudev, Luis Rueda: A model to predict and analyze protein-protein interaction types using electrostatic energies. BIBM 2012: 1-5

Mina Maleki, Michael Hall, Luis Rueda: Using structural domains to predict obligate and non-obligate protein-protein interactions. CIBCB 2012: 9-15

Sridip Banerjee, Luis Rueda, Mina Maleki: Prediction of crystal packing and biological protein-protein interactions. CIBCB 2012: 16-20

Yifeng Li, Alioune Ngom, Luis Rueda: A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm. PRIB 2012: 38-48

Luis Rueda, Iman Rezaeian: A Fully Automatic Gridding Method for cDNA Microarray Images. BMC Bioinformatics 12: 113 (2011)

Darío Rojas, Luis Rueda, Alioune Ngom, Homero Urrutia, Gerardo Carcamo: Image segmentation of biofilm structures using optimal multi-level thresholding. IJDMB 5(3): 266-286 (2011)

Iman Rezaeian, Luis Rueda: Biological assessment of grid and spot detection in cDNA microarray images. BCB 2011: 12-19

Amirali Jafarian, Alioune Ngom, Luis Rueda: A Novel Recursive Feature Subset Selection Algorithm. BIBE 2011: 78-83

Mina Maleki, Md. Mominul Aziz, Luis Rueda: Analysis of relevant physicochemical properties in obligate and non-obligate protein-protein interactions. BIBM Workshops 2011: 345-351

Mina Maleki, Luis Rueda: Domain-domain interactions in obligate and non-obligate protein-protein interactions. BIBM Workshops 2011: 907-908

Luis Rueda, Iman Rezaeian: Applications of Multilevel Thresholding Algorithms to Transcriptomics Data. CIARP 2011: 26-37

Amirali Jafarian, Alioune Ngom, Luis Rueda: New Gene Subset Selection Approaches Based on Linear Separating Genes and Gene-Pairs. PRIB 2011: 50-62

Numanul Subhani, Luis Rueda, Alioune Ngom, Conrad J. Burden: Multiple gene expression profile alignment for microarray time-series data clustering. Bioinformatics 26(18): 2281-2288 (2010)

Luis Rueda, B. John Oommen, Claudio Henríquez: Multi-class pairwise linear dimensionality reduction using heteroscedastic schemes. Pattern Recognition 43(7): 2456-2465 (2010)

Alioune Ngom, Luis Rueda, Lili Wang, Robin Gras: Selection based heuristics for the non-unique oligonucleotide probe selection problem in microarray design. Pattern Recognition Letters 31(14): 2113-2125 (2010)

Yifeng Li, Numanul Subhani, Alioune Ngom, Luis Rueda: Alignment-based versus variation-based transformation methods for clustering microarray time-series data. BCB 2010: 53-61

Luis Rueda, Sridip Banerjee, Md. Mominul Aziz, Mohammad Raza: Protein-protein interaction prediction using desolvation energies and interface properties. BIBM 2010: 17-22

Iman Rezaeian, Luis Rueda: A parameterless automatic spot detection method for cDNA microarray images. BIBM 2010: 388-392

Numanul Subhani, Yifeng Li, Alioune Ngom, Luis Rueda: Alignment versus variation methods for clustering microarray time-series data. IEEE Congress on Evolutionary Computation 2010: 1-8

Yifeng Li, Alioune Ngom, Luis Rueda: Missing value imputation methods for gene-sample-time microarray data analysis. CIBCB 2010: 1-7

Numanul Subhani, Luis Rueda, Alioune Ngom, Conrad J. Burden: New approaches to clustering microarray time-series data using multiple expression profile alignment. CIBCB 2010: 1-7

Iman Rezaeian, Luis Rueda: Sub-grid and Spot Detection in DNA Microarray Images Using Optimal Multi-level Thresholding. PRIB 2010: 277-288

Luis Rueda, Carolina Garate, Sridip Banerjee, Md. Mominul Aziz: Biological Protein-Protein Interaction Prediction Using Binding Free Energies and Linear Dimensionality Reduction. PRIB 2010: 383-394

Darío Rojas, Luis Rueda, Alioune Ngom, Homero Urrutia, Gerardo Carcamo: Biofilm Image Segmentation Using Optimal Multi-level Thresholding. BIBM 2009: 185-190

M. Angélica Pinninghoff Junemann, A. Ricardo Contreras, Luis Rueda: An Evolutionary Approach for Correcting Random Amplified Polymorphism DNA Images. IWINAC (2) 2009: 469-477

Darío Rojas, Luis Rueda, Homero Urrutia, Alioune Ngom: Efficient Optimal Multi-level Thresholding for Biofilm Image Segmentation. PRIB 2009: 307-318

Luis Rueda, Juan Carlos Rojas: A Pattern Classification Approach to DNA Microarray Image Segmentation. PRIB 2009: 319-330

Numanul Subhani, Alioune Ngom, Luis Rueda, Conrad J. Burden: Microarray Time-Series Data Clustering via Multiple Alignment of Gene Expression Profiles. PRIB 2009: 377-390

Luis Rueda, B. John Oommen: An efficient compression scheme for data communication which uses a new family of self-organizing binary search trees. Int. J. Communication Systems 21(10): 1091-1120 (2008)

Luis Rueda, Myriam Herrera: Linear dimensionality reduction by maximizing the Chernoff distance in the transformed space. Pattern Recognition 41(10): 3138-3152 (2008)

Luis Rueda, Myriam Herrera: A theoretical comparison of two-class Fisher's and heteroscedastic linear dimensionality reduction schemes. Pattern Recognition Letters 29(16): 2092-2098 (2008)

Luis Rueda, Ataul Bari, Alioune Ngom: Clustering Time-Series Gene Expression Data with Unequal Time Intervals. T. Comp. Sys. Biology 10: 100-123 (2008)

Lili Wang, Alioune Ngom, Robin Gras, Luis Rueda: An Evolutionary Approach to the Non-unique Oligonucleotide Probe Selection Problem. T. Comp. Sys. Biology 10: 143-162 (2008)

Luis Rueda, Claudio Henríquez, B. John Oommen: Chernoff-Based Multi-class Pairwise Linear Dimensionality Reduction. CIARP 2008: 301-308

Lili Wang, Alioune Ngom, Robin Gras, Luis Rueda: Evolution strategy with greedy probe selection heuristics for the non-unique oligonucleotide probe selection problem. CIBCB 2008: 54-61

Lili Wang, Alioune Ngom, Luis Rueda: Sequential Forward Selection Approach to the Non-unique Oligonucleotide Probe Selection Problem. PRIB 2008: 262-275

Luis Rueda: An Efficient Algorithm for Optimal Multilevel Thresholding of Irregularly Sampled Histograms. SSPR/SPR 2008: 602-611

Luis Rueda, Domingo Mery, Josef Kittler (Eds.): Progress in Pattern Recognition, Image Analysis and Applications, 12th Iberoamericann Congress on Pattern Recognition, CIARP 2007, Valparaiso, Chile, November 13-16, 2007, Proceedings. Lecture Notes in Computer Science 4756, Springer 2008, isbn 978-3-540-76724-4

Wei Yang, Luis Rueda, Alioune Ngom: On Finding the Best Parameters of Fuzzy k-Means for Clustering Microarray Data. Multiple-Valued Logic and Soft Computing 13(1-2): 145-178 (2007)

Luis Rueda, Omar Uyarte, Sofia Valenzuela, Jaime Rodriguez: Processing Random Amplified Polymorphysm DNA Images Using the Radon Transform and Mathematical Morphology. ICIAR 2007: 1071-1081

Luis Rueda: Sub-grid Detection in DNA Microarray Images. PSIVT 2007: 248-259

Domingo Mery, Luis Rueda (Eds.): Advances in Image and Video Technology, Second Pacific Rim Symposium, PSIVT 2007, Santiago, Chile, December 17-19, 2007, Proceedings. Lecture Notes in Computer Science 4872, Springer 2007, isbn 978-3-540-77128-9

Luis Rueda, B. John Oommen: A fast and efficient nearly-optimal adaptive Fano coding scheme. Inf. Sci. 176(12): 1656-1683 (2006)

B. John Oommen, Luis Rueda: Stochastic learning-based weak estimation of multinomial random variables and its applications to pattern recognition in non-stationary environments. Pattern Recognition 39(3): 328-341 (2006)

Luis Rueda, Yuanquan Zhang: Geometric visualization of clusters obtained from fuzzy clustering algorithms. Pattern Recognition 39(8): 1415-1429 (2006)

Luis Rueda, Vidya Vidyadharan: A Hill-Climbing Approach for Automatic Gridding of cDNA Microarray Images. IEEE/ACM Trans. Comput. Biology Bioinform. 3(1): 72-83 (2006)

Ataul Bari, Luis Rueda: A New Profile Alignment Method for Clustering Gene Expression Data. Canadian Conference on AI 2006: 86-97

Mohammed Liakat Ali, Luis Rueda, Myriam Herrera: On the Performance of Chernoff-Distance-Based Linear Dimensionality Reduction Techniques. Canadian Conference on AI 2006: 467-478

Munish Chopra, Miguel Vargas Martin, Luis Rueda, Patrick C. K. Hung: Toward New Paradigms to Combating Internet Child Pornography. CCECE 2006: 1012-1015

Luis Rueda, Myriam Herrera: A Theoretical Comparison of Two Linear Dimensionality Reduction Techniques. CIARP 2006: 624-633

Luis Rueda, Myriam Herrera: A New Approach to Multi-class Linear Dimensionality Reduction. CIARP 2006: 634-643

Luis Rueda, Myriam Herrera: A New Linear Dimensionality Reduction Technique Based on Chernoff Distance. IBERAMIA-SBIA 2006: 299-308

B. John Oommen, Luís G. Rueda: A formal analysis of why heuristic functions work. Artif. Intell. 164(1-2): 1-22 (2005)

Luis Rueda: A one-dimensional analysis for the probability of error of linear classifiers for normally distributed classes. Pattern Recognition 38(8): 1197-1207 (2005)

Leon French, Alioune Ngom, Luis Rueda: Fast Protein Superfamily Classification Using Principal Component Null Space Analysis. Canadian Conference on AI 2005: 158-169

Luís G. Rueda, Li Qin: A New Method for DNA Microarray Image Segmentation. ICIAR 2005: 886-893

Luís G. Rueda, Vidya Vidyadharan: A New Approach to Automatically Detecting Grids in DNA Microarray Images. ICIAR 2005: 982-989

Luís G. Rueda, B. John Oommen: Efficient Adaptive Data Compression Using Fano Binary Search Trees. ISCIS 2005: 768-779

B. John Oommen, Luís G. Rueda: On Utilizing Stochastic Learning Weak Estimators for Training and Classification of Patterns with Non-stationary Distributions. KI 2005: 107-120

Yuanquan Zhang, Luis Rueda: A geometric framework to visualize fuzzy-clustered data. SCCC 2005: 13-20

Wei Yang, Luis Rueda, Alioune Ngom: A simulated annealing approach to find the optimal parameters for fuzzy clustering microarray data. SCCC 2005: 45-54

Luís G. Rueda, B. John Oommen: A nearly-optimal Fano-based coding algorithm. Inf. Process. Manage. 40(2): 257-268 (2004)

Luís G. Rueda: An efficient approach to compute the threshold for multi-dimensional linear classifiers. Pattern Recognition 37(4): 811-826 (2004)

Luís G. Rueda: Selecting the best hyperplane in the framework of optimal pairwise linear classifiers. Pattern Recognition Letters 25(1): 49-62 (2004)

Luís G. Rueda, B. John Oommen: On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data. ADVIS 2004: 234-244

Luís G. Rueda: New Bounds and Approximations for the Error of Linear Classifiers. CIARP 2004: 342-349

Luis Rueda, Alioune Ngom: An Empirical Evaluation of the Classification Error of Two Thresholding Methods for Fisher's Classifier. IC-AI 2004: 837-842

Luís G. Rueda, Li Qin: An Improved Clustering-Based Approach for DNA Microarray Image Segmentation. ICIAR (2) 2004: 17-24

B. John Oommen, Luís G. Rueda: A New Family of Weak Estimators for Training in Non-stationary Distributions. SSPR/SPR 2004: 644-652

Luís G. Rueda, B. John Oommen: On optimal pairwise linear classifiers for normal distributions: the d-dimensional case. Pattern Recognition 36(1): 13-23 (2003)

Luís G. Rueda: A New Approach That Selects a Single Hyperplane from the Optimal Pairwise Linear Classifier. CIARP 2003: 521-528

Luís G. Rueda: An Empirical Analysis of Traditional and Optimal Pairwise Linear Classifiers on Standard Benchmarks. PRIS 2003: 88-95

B. John Oommen, Luís G. Rueda: The Efficiency of Histogram-like Techniques for Database Query Optimization. Comput. J. 45(5): 494-510 (2002)

Luís G. Rueda, B. John Oommen: On Optimal Pairwise Linear Classifiers for Normal Distributions: The Two-Dimensional Case. IEEE Trans. Pattern Anal. Mach. Intell. 24(2): 274-280 (2002)

B. John Oommen, Luís G. Rueda: Using Pattern Recognition Techniques to Derive a Formal Analysis of Why Heuristics Functions Work. PRIS 2002: 45-58

Luís G. Rueda, B. John Oommen: Resolving Minsky's Paradox: The d-Dimensional Normal Distribution Case. Australian Joint Conference on Artificial Intelligence 2001: 25-36

B. John Oommen, Luís G. Rueda: Histogram Methods in Query Optimization: The Relation between Accuracy and Optimality. DASFAA 2001: 320-326

B. John Oommen, Luis Rueda: An Empirical Comparison of Histogram-Like Techniques for Query Optimization. ICEIS 2000: 71-78

Luis Rueda, B. John Oommen: The Foundational Theory of Optimal Bayesian Pairwise Linear Classifiers. SSPR/SPR 2000: 581-590