default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLuis Rueda 0001
Luís G. Rueda
Person information
- affiliation: University of Windsor, ON, Canada
- affiliation (former): University of Concepción, Chile
- affiliation (PhD 2002): Carleton University, Ottawa, ON, Canada
Other persons with the same name
- Luis Rueda 0002
![[0000-0002-8452-608X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8452-608X")
(aka: Luis Fernando Rueda Vasquez) — Université du Québec à Trois-Rivières, Institut de Recherche sur L'Hydrogène, QC, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[i6]Ali Abbasi Tadi, Dima Alhadidi, Luis Rueda:
Trustformer: A Trusted Federated Transformer. CoRR abs/2501.11706 (2025)- 2024
- [j39]Sudipta Modak, Esam Abdel-Raheem, Luis Rueda:
GPD-Nodule: A Lightweight Lung Nodule Detection and Segmentation Framework on Computed Tomography Images Using Uniform Superpixel Generation. IEEE Access 12: 154933-154948 (2024) - [j38]Akram Vasighizaker, Sheena Hora, Raymond Zeng, Luis Rueda:
SEGCECO: Subgraph Embedding of Gene expression matrix for prediction of CEll-cell COmmunication. Briefings Bioinform. 25(3) (2024) - [j37]Ali Abbasi Tadi, Dima Alhadidi, Luis Rueda:
PPPCT: Privacy-Preserving framework for Parallel Clustering Transcriptomics data. Comput. Biol. Medicine 173: 108351 (2024) - [c107]Sudipta Modak, Yash Trivedi, Esam Abdel-Raheem, Luis Rueda:
Harnessing the Power of Graph Propagation in Lung Nodule Detection. AIME (2) 2024: 70-80 - [c106]Faezeh Mohammadi Aydoghmishi, Esam Abdel-Raheem, Luis Rueda:
Enhanced Deep Learning Model for Superior Multi-Class Classification Performance. ICM 2024: 1-6 - [c105]Sudipta Modak, Esam Abdel-Raheem, Luis Rueda:
Fusing Superpixel Graph Propagation and Positional Convolutions for Small Object Detection in Computed Tomography Scan. ICM 2024: 1-6 - [c104]Saleh Sargolzaei, Luis Rueda:
Improving Out-of-Distribution Data Handling and Corruption Resistance via Modern Hopfield Networks. ICPR (26) 2024: 81-96 - [i5]Danial Ebrat, Luis Rueda:
Lusifer: LLM-based User SImulated Feedback Environment for online Recommender systems. CoRR abs/2405.13362 (2024) - [i4]Saleh Sargolzaei, Luis Rueda:
Improving Out-of-Distribution Data Handling and Corruption Resistance via Modern Hopfield Networks. CoRR abs/2408.11309 (2024) - [i3]Mehrad Soltani, Luis Rueda:
Hyperedge Modeling in Hypergraph Neural Networks by using Densest Overlapping Subgraphs. CoRR abs/2409.10340 (2024) - [i2]Mehrad Soltani, Luis Rueda:
Hypergraph Neural Networks Reveal Spatial Domains from Single-cell Transcriptomics Data. CoRR abs/2410.19868 (2024) - 2023
- [c103]Faezeh Mohammadi Aydoghmishi, Sudipta Modak, Esam Abdel-Raheem, Luis Rueda:
Examining the Performance of Melanoma Classification using Superpixel Segmentation: A Comparative Analysis. ICM 2023: 113-118 - [c102]Sudipta Modak, Esam Abdel-Raheem, Luis Rueda:
Lung Nodule Segmentation on CT Scan Images Using Patchwise Iterative Graph Clustering. ISCAS 2023: 1-5 - [c101]Alireza Mirzaee, Mojtaba Kordestani, Luis Rueda, Mehrdad Saif:
Robust Emotion Recognition in EEG Signals Based on a Combination of Multiple Domain Adaptation Techniques. SMC 2023: 3265-3270 - 2022
- [j36]Forough Firoozbakht, Iman Rezaeian, Luis Rueda, Alioune Ngom:
Computationally repurposing drugs for breast cancer subtypes using a network-based approach. BMC Bioinform. 23(1): 143 (2022) - [j35]Fang-Xiang Wu, Min Li, Lukasz A. Kurgan, Luis Rueda:
Guest editorial: Deep neural networks for precision medicine. Neurocomputing 469: 330-331 (2022) - [j34]Musab Naik, Luis Rueda, Akram Vasighizaker:
Identification of Enriched Regions in ChIP-Seq Data via a Linear-Time Multi-Level Thresholding Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2842-2850 (2022) - [c100]Ali Abbasi Tadi, Luis Rueda, Dima Alhadidi:
NICASN: Non-negative Matrix Factorization and Independent Component Analysis for Clustering Social Networks. Canadian AI 2022 - [c99]Alexandru Filip, Seyedeh Shaghayegh Sadeghi, Alioune Ngom, Luis Rueda:
DeePSLiM: A Deep Learning Approach to Identify Predictive Short-linear Motifs for Protein Sequence Classification. CIBCB 2022: 1-8 - [c98]Sudipta Modak, Esam Abdel-Raheem, Luis Rueda:
Heart Disease Prediction Using Adaptive Infinite Feature Selection and Deep Neural Networks. ICAIIC 2022: 235-240 - [c97]Akram Vasighizaker, Sheena Hora, Yash Trivedi, Luis Rueda:
Comparative Analysis of Supervised Cell Type Detection in Single-Cell RNA-seq Data. IWBBIO (2) 2022: 333-345 - 2021
- [j33]Ashraf Neisari, Luis Rueda, Sherif Saad:
Spam review detection using self-organizing maps and convolutional neural networks. Comput. Secur. 106: 102274 (2021) - 2020
- [j32]Nazia Fatima, Luis Rueda:
iSOM-GSN: an integrative approach for transforming multi-omic data into gene similarity networks via self-organizing maps. Bioinform. 36(15): 4248-4254 (2020) - [j31]Sheikh Jubair, Abedalrhman Alkhateeb, Ashraf Abou Tabl, Luis Rueda, Alioune Ngom:
A novel approach to identify subtype-specific network biomarkers of breast cancer survivability. Netw. Model. Anal. Health Informatics Bioinform. 9(1): 43 (2020) - [c96]Luis Rueda, Nazia Fatima:
iSOM-GSN: An Integrative Approach for Transforming Multi-omic Data into Gene Similarity Networks via Self-organizing Maps. BCB 2020: 38:1 - [c95]Saiteja Danda, Akram Vasighizaker, Luis Rueda:
Unsupervised Identification of SARS-CoV-2 Target Cell Groups via Nonlinear Dimensionality Reduction on Single-cell RNA-Seq Data. BIBM 2020: 2737-2744 - [c94]Huy Quang Pham, Luis Rueda, Alioune Ngom:
A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability. IWBBIO 2020: 49-60 - [c93]Mohammad Anas Shah, Abdala Nour, Alioune Ngom, Luis Rueda:
Cancer Detection Based on Image Classification by Using Convolution Neural Network. IWBBIO 2020: 275-286
2010 – 2019
- 2019
- [c92]Osama Hamzeh, Luis Rueda:
A Gene-disease-based Machine Learning Approach to Identify Prostate Cancer Biomarkers. BCB 2019: 633-638 - [c91]Abed Alkhateeb, Nazia Fatima, Govindaraja Atikukke, Sabeena Misra, Luis Rueda:
A Deep Learning Model to Identify a Genomic Signature Driving Sporadic Colorectal Cancer in Young Adults. BCB 2019: 645 - 2018
- [j30]Yixun Li, Mina Maleki, Nicholas J. Carruthers, Paul M. Stemmer, Alioune Ngom, Luis Rueda:
The predictive performance of short-linear motif features in the prediction of calmodulin-binding proteins. BMC Bioinform. 19-S(14): 13-25 (2018) - [c90]Sowndarya Krishnamoorthy, Luis Rueda, Sherif Saad, Haytham Elmiligi:
Identification of User Behavioral Biometrics for Authentication Using Keystroke Dynamics and Machine Learning. ICBEA 2018: 50-57 - [c89]Sheikh Jubair, Luis Rueda, Alioune Ngom:
Identifying suutype specific network-Uiomarkers of breast cancer survivauility. IJCNN 2018: 1-9 - [c88]Ashraf Abou Tabl, Abedalrhman Alkhateeb, Luis Rueda, Waguih H. ElMaraghy, Alioune Ngom:
Identification of the Treatment Survivability Gene Biomarkers of Breast Cancer Patients via a Tree-Based Approach. IWBBIO (1) 2018: 166-176 - [c87]Osama Hamzeh, Abedalrhman Alkhateeb, Luis Rueda:
Predicting Tumor Locations in Prostate Cancer Tissue Using Gene Expression. IWBBIO (1) 2018: 343-351 - 2017
- [j29]Abedalrhman Alkhateeb, Luis Rueda:
Zseq: An Approach for Preprocessing Next-Generation Sequencing Data. J. Comput. Biol. 24(8): 746-755 (2017) - [j28]Forough Firoozbakht, Iman Rezaeian, Michele D'agnillo, Lisa A. Porter, Luis Rueda, Alioune Ngom:
An Integrative Approach for Identifying Network Biomarkers of Breast Cancer Subtypes Using Genomic, Interactomic, and Transcriptomic Data. J. Comput. Biol. 24(8): 756-766 (2017) - [c86]Naveen Mangalakumar, Abed Alkhateeb, Huy Quang Pham, Luis Rueda, Alioune Ngom:
Outlier Genes as Biomarkers of Breast Cancer Survivability in Time-Series Data. BCB 2017: 594 - [c85]Huy Quang Pham, Luis Rueda, Alioune Ngom:
Predicting Breast Cancer Outcome under Different Treatments by Feature Selection Approaches. BCB 2017: 617 - [c84]Shiladitya Chakrabarti, Roozbeh Razavi-Far, Mehrdad Saif, Luis Rueda:
Multi-class heteroscedastic linear dimensionality reduction scheme for diagnosing process faults. CCECE 2017: 1-4 - [c83]Roozbeh Razavi-Far, Ehsan Hallaji, Mehrdad Saif, Luis Rueda:
A Hybrid Scheme for Fault Diagnosis with Partially Labeled Sets of Observations. ICMLA 2017: 61-67 - [c82]Yixun Li, Mina Maleki, Nicholas J. Carruthers, Luis Rueda, Paul M. Stemmer, Alioune Ngom:
Prediction of Calmodulin-Binding Proteins Using Short-Linear Motifs. IWBBIO (2) 2017: 107-117 - [c81]Osama Hamzeh, Abedalrhman Alkhateeb, Iman Rezaeian, Aram Karkar, Luis Rueda:
Finding Transcripts Associated with Prostate Cancer Gleason Stages Using Next Generation Sequencing and Machine Learning Techniques. IWBBIO (2) 2017: 337-348 - 2016
- [j27]Iman Rezaeian, Ahmad Tavakoli, Dora Cavallo-Medved, Lisa A. Porter, Luis Rueda:
A novel model used to detect differential splice junctions as biomarkers in prostate cancer from RNA-Seq data. J. Biomed. Informatics 60: 422-430 (2016) - [c80]Manal Alshehri, Iman Rezaeian, Abed Alkhateeb, Luis Rueda:
A Machine Learning Model for Discovery of Protein Isoforms as Biomarkers. BCB 2016: 474-475 - [c79]Roohollah Etemadi, Abedalrhman Alkhateeb, Iman Rezaeian, Luis Rueda:
Identification of discriminative genes for predicting breast cancer subtypes. BIBM 2016: 1184-1188 - [c78]Huy Quang Pham, Alioune Ngom, Luis Rueda:
A new feature selection approach for optimizing prediction models, applied to breast cancer subtype classification. BIBM 2016: 1535-1541 - [c77]Maryam Farajzadeh-Zanjani, Roozbeh Razavi-Far, Mehrdad Saif, Luis Rueda:
Efficient feature extraction of vibration signals for diagnosing bearing defects in induction motors. IJCNN 2016: 4504-4511 - [c76]Huy Quang Pham, Alioune Ngom, Luis Rueda:
PAFS - An efficient method for classifier-specific feature selection. SSCI 2016: 1-8 - [i1]Iman Rezaeian, Eliseos J. Mucaki, Katherina Baranova, Huy Quang Pham, Dimo Angelov, Alioune Ngom, Luis Rueda, Peter K. Rogan:
Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning. F1000Research 5: 2124 (2016) - 2015
- [j26]Yifeng Li, B. John Oommen, Alioune Ngom, Luis Rueda:
Pattern classification using a new border identification paradigm: The nearest border technique. Neurocomputing 157: 105-117 (2015) - [c75]Abed Alkhateeb, Iman Rezaeian, Siva Singireddy, Luis Rueda:
Obtaining biomarkers in cancer progression from outliers of time-series clusters. BIBM 2015: 889-896 - [c74]Forough Firoozbakht, Iman Rezaeian, Alioune Ngom, Luis Rueda:
A new compact set of biomarkers for distinguishing among ten breast cancer subtypes. BIBM 2015: 1579-1585 - [c73]Abed Alkhateeb, Iman Rezaeian, Luis Rueda:
ZSeq 2.0: A fully automatic preprocessing method for next generation sequencing data. BIBM 2015: 1762-1764 - [c72]Forough Firoozbakht, Iman Rezaeian, Alioune Ngom, Luis Rueda, Lisa A. Porter:
A novel approach for finding informative genes in ten subtypes of breast cancer. CIBCB 2015: 1-6 - [c71]Yixun Li, Behzad Rezaei, Alioune Ngom, Luis Rueda:
Prediction of high-throughput protein-protein interactions based on protein sequence information. CIBCB 2015: 1-6 - [c70]Mina Maleki, Luis Rueda:
Classification via correlation-based feature grouping. CIBCB 2015: 1-6 - [c69]Siva Singireddy, Abed Alkhateeb, Iman Rezaeian, Luis Rueda, Dora Cavallo-Medved, Lisa A. Porter:
Identifying differentially expressed transcripts associated with prostate cancer progression using RNA-Seq and machine learning techniques. CIBCB 2015: 1-5 - [c68]Mina Maleki, Mohammad Haj Dezfulian, Luis Rueda:
A Computational Domain-Based Feature Grouping Approach for Prediction of Stability of SCF Ligases. IWBBIO (1) 2015: 630-640 - 2014
- [c67]Mina Maleki, Luis Rueda, Mohammad Haj Dezfulian, William Crosby:
Computational analysis of the stability of SCF ligases employing domain information. BCB 2014: 625-626 - [c66]Luis Rueda, Manish Pandit:
A model based on minimotifs for classification of stable protein-protein complexes. CIBCB 2014: 1-6 - [c65]Forough Firoozbakht, Iman Rezaeian, Lisa A. Porter, Luis Rueda:
Breast cancer subtype identification using machine learning techniques. ICCABS 2014: 1-2 - [c64]Iman Rezaeian, Luis Rueda:
A new multi-level thresholding algorithm for finding peaks in ChIP-Seq data. ICCABS 2014: 1-6 - 2013
- [j25]Mina Maleki, Michael Hall, Luis Rueda:
Using desolvation energies of structural domains to predict stability of protein complexes. Netw. Model. Anal. Health Informatics Bioinform. 2(4): 267-275 (2013) - [c63]Yifeng Li, B. John Oommen, Alioune Ngom, Luis Rueda:
A New Paradigm for Pattern Classification: Nearest Border Techniques. Australasian Conference on Artificial Intelligence 2013: 441-446 - [c62]Manish Pandit, Luis Rueda, Alioune Ngom:
Prediction of Biological Protein-protein Interaction Types Using Short-Linear Motifs. BCB 2013: 698 - [c61]Iman Rezaeian, Yifeng Li, Martin Crozier, Eran Andrechek, Alioune Ngom, Luis Rueda, Lisa A. Porter:
Identifying Informative Genes for Prediction of Breast Cancer Subtypes. PRIB 2013: 138-148 - 2012
- [c60]Iman Rezaeian, Luis Rueda:
A new algorithm for finding enriched regions in ChIP-Seq data. BCB 2012: 282-288 - [c59]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 - [c58]Iman Rezaeian, Luis Rueda:
Finding genomic features from enriched regions in ChlP-Seq data. BIBM 2012: 1-4 - [c57]Gokul Vasudev, Luis Rueda:
A model to predict and analyze protein-protein interaction types using electrostatic energies. BIBM 2012: 1-5 - [c56]Mina Maleki, Michael Hall, Luis Rueda:
Using structural domains to predict obligate and non-obligate protein-protein interactions. CIBCB 2012: 9-15 - [c55]Sridip Banerjee, Luis Rueda, Mina Maleki:
Prediction of crystal packing and biological protein-protein interactions. CIBCB 2012: 16-20 - [c54]Yifeng Li, Alioune Ngom, Luis Rueda:
A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm. PRIB 2012: 38-48 - 2011
- [j24]Luis Rueda, Iman Rezaeian:
A Fully Automatic Gridding Method for cDNA Microarray Images. BMC Bioinform. 12: 113 (2011) - [j23]Darío Rojas, Luis Rueda, Alioune Ngom, Homero Urrutia, Gerardo Carcamo:
Image segmentation of biofilm structures using optimal multi-level thresholding. Int. J. Data Min. Bioinform. 5(3): 266-286 (2011) - [c53]Iman Rezaeian, Luis Rueda:
Biological assessment of grid and spot detection in cDNA microarray images. BCB 2011: 12-19 - [c52]Amirali Jafarian, Alioune Ngom, Luis Rueda:
A Novel Recursive Feature Subset Selection Algorithm. BIBE 2011: 78-83 - [c51]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 - [c50]Mina Maleki, Luis Rueda:
Domain-domain interactions in obligate and non-obligate protein-protein interactions. BIBM Workshops 2011: 907-908 - [c49]Luis Rueda, Iman Rezaeian:
Applications of Multilevel Thresholding Algorithms to Transcriptomics Data. CIARP 2011: 26-37 - [c48]Mina Maleki, Md. Mominul Aziz, Luis Rueda:
Analysis of obligate and non-obligate complexes using desolvation energies in domain-domain interactions. BIOKDD 2011: 2:1-2:6 - [c47]Amirali Jafarian, Alioune Ngom, Luis Rueda:
New Gene Subset Selection Approaches Based on Linear Separating Genes and Gene-Pairs. PRIB 2011: 50-62 - 2010
- [j22]Numanul Subhani, Luis Rueda, Alioune Ngom, Conrad J. Burden:
Multiple gene expression profile alignment for microarray time-series data clustering. Bioinform. 26(18): 2281-2288 (2010) - [j21]Luis Rueda, B. John Oommen, Claudio Henríquez:
Multi-class pairwise linear dimensionality reduction using heteroscedastic schemes. Pattern Recognit. 43(7): 2456-2465 (2010) - [j20]Alioune Ngom, Luis Rueda, Lili Wang, Robin Gras:
Selection based heuristics for the non-unique oligonucleotide probe selection problem in microarray design. Pattern Recognit. Lett. 31(14): 2113-2125 (2010) - [c46]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 - [c45]Luis Rueda, Sridip Banerjee, Md. Mominul Aziz, Mohammad Raza:
Protein-protein interaction prediction using desolvation energies and interface properties. BIBM 2010: 17-22 - [c44]Iman Rezaeian, Luis Rueda:
A parameterless automatic spot detection method for cDNA microarray images. BIBM 2010: 388-392 - [c43]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 - [c42]Yifeng Li, Alioune Ngom, Luis Rueda:
Missing value imputation methods for gene-sample-time microarray data analysis. CIBCB 2010: 1-7 - [c41]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 - [c40]Iman Rezaeian, Luis Rueda:
Sub-grid and Spot Detection in DNA Microarray Images Using Optimal Multi-level Thresholding. PRIB 2010: 277-288 - [c39]Luis Rueda, Carolina Gárate, Sridip Banerjee, Md. Mominul Aziz:
Biological Protein-Protein Interaction Prediction Using Binding Free Energies and Linear Dimensionality Reduction. PRIB 2010: 383-394
2000 – 2009
- 2009
- [c38]Darío Rojas, Luis Rueda, Alioune Ngom, Homero Urrutia, Gerardo Carcamo:
Biofilm Image Segmentation Using Optimal Multi-level Thresholding. BIBM 2009: 185-190 - [c37]M. Angélica Pinninghoff Junemann, A. Ricardo Contreras, Luis Rueda:
An Evolutionary Approach for Correcting Random Amplified Polymorphism DNA Images. IWINAC (2) 2009: 469-477 - [c36]Darío Rojas, Luis Rueda, Homero Urrutia, Alioune Ngom:
Efficient Optimal Multi-level Thresholding for Biofilm Image Segmentation. PRIB 2009: 307-318 - [c35]Luis Rueda, Juan Carlos Rojas:
A Pattern Classification Approach to DNA Microarray Image Segmentation. PRIB 2009: 319-330 - [c34]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 - 2008
- [j19]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. Commun. Syst. 21(10): 1091-1120 (2008) - [j18]Luis Rueda, Myriam Herrera:
Linear dimensionality reduction by maximizing the Chernoff distance in the transformed space. Pattern Recognit. 41(10): 3138-3152 (2008) - [j17]Luis Rueda, Myriam Herrera:
A theoretical comparison of two-class Fisher's and heteroscedastic linear dimensionality reduction schemes. Pattern Recognit. Lett. 29(16): 2092-2098 (2008) - [j16]Luis Rueda, Ataul Bari, Alioune Ngom:
Clustering Time-Series Gene Expression Data with Unequal Time Intervals. Trans. Comp. Sys. Biology 10: 100-123 (2008) - [j15]Lili Wang, Alioune Ngom, Robin Gras, Luis Rueda:
An Evolutionary Approach to the Non-unique Oligonucleotide Probe Selection Problem. Trans. Comp. Sys. Biology 10: 143-162 (2008) - [c33]Luis Rueda, Claudio Henríquez, B. John Oommen:
Chernoff-Based Multi-class Pairwise Linear Dimensionality Reduction. CIARP 2008: 301-308 - [c32]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 - [c31]Lili Wang, Alioune Ngom, Luis Rueda:
Sequential Forward Selection Approach to the Non-unique Oligonucleotide Probe Selection Problem. PRIB 2008: 262-275 - [c30]Luis Rueda:
An Efficient Algorithm for Optimal Multilevel Thresholding of Irregularly Sampled Histograms. SSPR/SPR 2008: 602-611 - [e2]Luis Rueda, Domingo Mery, Josef Kittler:
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 [contents] - 2007
- [j14]Wei Yang, Luis Rueda, Alioune Ngom:
On Finding the Best Parameters of Fuzzy k-Means for Clustering Microarray Data. J. Multiple Valued Log. Soft Comput. 13(1-2): 145-178 (2007) - [c29]Luis Rueda, Ataul Bari:
Clustering Temporal Gene Expression Data with Unequal Time Intervals. BIONETICS 2007: 192-199 - [c28]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 - [c27]Luis Rueda:
Sub-grid Detection in DNA Microarray Images. PSIVT 2007: 248-259 - [e1]Domingo Mery, Luis Rueda:
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 [contents] - 2006
- [j13]Luis Rueda, B. John Oommen:
A fast and efficient nearly-optimal adaptive Fano coding scheme. Inf. Sci. 176(12): 1656-1683 (2006) - [j12]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 Recognit. 39(3): 328-341 (2006) - [j11]Luis Rueda, Yuanquan Zhang:
Geometric visualization of clusters obtained from fuzzy clustering algorithms. Pattern Recognit. 39(8): 1415-1429 (2006) - [j10]Luis Rueda, Vidya Vidyadharan:
A Hill-Climbing Approach for Automatic Gridding of cDNA Microarray Images. IEEE ACM Trans. Comput. Biol. Bioinform. 3(1): 72-83 (2006) - [j9]Luis Rueda, B. John Oommen:
Stochastic Automata-Based Estimators for Adaptively Compressing Files With Nonstationary Distributions. IEEE Trans. Syst. Man Cybern. Part B 36(5): 1196-1200 (2006) - [c26]Ataul Bari, Luis Rueda:
A New Profile Alignment Method for Clustering Gene Expression Data. Canadian AI 2006: 86-97 - [c25]Mohammed Liakat Ali, Luis Rueda, Myriam Herrera:
On the Performance of Chernoff-Distance-Based Linear Dimensionality Reduction Techniques. Canadian AI 2006: 467-478 - [c24]Munish Chopra, Miguel Vargas Martin, Luis Rueda, Patrick C. K. Hung:
Toward New Paradigms to Combating Internet Child Pornography. CCECE 2006: 1012-1015 - [c23]Luis Rueda, Myriam Herrera:
A Theoretical Comparison of Two Linear Dimensionality Reduction Techniques. CIARP 2006: 624-633 - [c22]Luis Rueda, Myriam Herrera:
A New Approach to Multi-class Linear Dimensionality Reduction. CIARP 2006: 634-643 - [c21]Luis Rueda, Myriam Herrera:
A New Linear Dimensionality Reduction Technique Based on Chernoff Distance. IBERAMIA-SBIA 2006: 299-308 - 2005
- [j8]B. John Oommen, Luís G. Rueda:
A formal analysis of why heuristic functions work. Artif. Intell. 164(1-2): 1-22 (2005) - [j7]Luis Rueda:
A one-dimensional analysis for the probability of error of linear classifiers for normally distributed classes. Pattern Recognit. 38(8): 1197-1207 (2005) - [c20]Leon French, Alioune Ngom, Luis Rueda:
Fast Protein Superfamily Classification Using Principal Component Null Space Analysis. Canadian AI 2005: 158-169 - [c19]Luís G. Rueda, Li Qin:
A New Method for DNA Microarray Image Segmentation. ICIAR 2005: 886-893 - [c18]Luís G. Rueda, Vidya Vidyadharan:
A New Approach to Automatically Detecting Grids in DNA Microarray Images. ICIAR 2005: 982-989 - [c17]Luís G. Rueda, B. John Oommen:
Efficient Adaptive Data Compression Using Fano Binary Search Trees. ISCIS 2005: 768-779 - [c16]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 - [c15]Yuanquan Zhang, Luis Rueda:
A geometric framework to visualize fuzzy-clustered data. SCCC 2005: 13-20 - [c14]Wei Yang, Luis Rueda, Alioune Ngom:
A simulated annealing approach to find the optimal parameters for fuzzy clustering microarray data. SCCC 2005: 45-54 - 2004
- [j6]Luís G. Rueda, B. John Oommen:
A nearly-optimal Fano-based coding algorithm. Inf. Process. Manag. 40(2): 257-268 (2004) - [j5]Luís G. Rueda:
An efficient approach to compute the threshold for multi-dimensional linear classifiers. Pattern Recognit. 37(4): 811-826 (2004) - [j4]Luís G. Rueda:
Selecting the best hyperplane in the framework of optimal pairwise linear classifiers. Pattern Recognit. Lett. 25(1): 49-62 (2004) - [c13]Luís G. Rueda, B. John Oommen:
On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data. ADVIS 2004: 234-244 - [c12]Luís G. Rueda:
New Bounds and Approximations for the Error of Linear Classifiers. CIARP 2004: 342-349 - [c11]Luis Rueda, Alioune Ngom:
An Empirical Evaluation of the Classification Error of Two Thresholding Methods for Fisher's Classifier. IC-AI 2004: 837-842 - [c10]Luís G. Rueda, Li Qin:
An Improved Clustering-Based Approach for DNA Microarray Image Segmentation. ICIAR (2) 2004: 17-24 - [c9]B. John Oommen, Luís G. Rueda:
A New Family of Weak Estimators for Training in Non-stationary Distributions. SSPR/SPR 2004: 644-652 - 2003
- [j3]Luís G. Rueda, B. John Oommen:
On optimal pairwise linear classifiers for normal distributions: the d-dimensional case. Pattern Recognit. 36(1): 13-23 (2003) - [c8]Luís G. Rueda:
A New Approach That Selects a Single Hyperplane from the Optimal Pairwise Linear Classifier. CIARP 2003: 521-528 - [c7]Luís G. Rueda:
An Empirical Analysis of Traditional and Optimal Pairwise Linear Classifiers on Standard Benchmarks. PRIS 2003: 88-95 - 2002
- [j2]B. John Oommen, Luís G. Rueda:
The Efficiency of Histogram-like Techniques for Database Query Optimization. Comput. J. 45(5): 494-510 (2002) - [j1]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) - [c6]B. John Oommen, Luís G. Rueda:
Using Pattern Recognition Techniques to Derive a Formal Analysis of Why Heuristics Functions Work. PRIS 2002: 45-58 - 2001
- [c5]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 - [c4]B. John Oommen, Luís G. Rueda:
Histogram Methods in Query Optimization: The Relation between Accuracy and Optimality. DASFAA 2001: 320-326 - [c3]Luís G. Rueda, B. John Oommen:
Enhanced static Fano coding. SMC 2001: 2163-2169 - 2000
- [c2]B. John Oommen, Luis Rueda:
An Empirical Comparison of Histogram-Like Techniques for Query Optimization. ICEIS 2000: 71-78 - [c1]Luis Rueda, B. John Oommen:
The Foundational Theory of Optimal Bayesian Pairwise Linear Classifiers. SSPR/SPR 2000: 581-590
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-04 22:13 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
