Alioune Ngom

Orcid: 0000-0003-2092-2494

According to our database1, Alioune Ngom authored at least 106 papers between 1995 and 2024.

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Bibliography

2024
Can large language models understand molecules?
BMC Bioinform., December, 2024

Comparative Analysis of LLaMA and ChatGPT Embeddings for Molecule Embedding.
CoRR, 2024

2023
A Comprehensive Study of Vision Transformers in Image Classification Tasks.
CoRR, 2023

2022
Computationally repurposing drugs for breast cancer subtypes using a network-based approach.
BMC Bioinform., 2022

A network-based drug repurposing method via non-negative matrix factorization.
Bioinform., 2022

DDIPred: Graph Convolutional Network-Based Drug-drug Interactions Prediction Using Drug Chemical Structure Embedding.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 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

2020
A novel approach to identify subtype-specific network biomarkers of breast cancer survivability.
Netw. Model. Anal. Health Informatics Bioinform., 2020

Blood Cell Types Classification Using CNN.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020

Cancer Detection Based on Image Classification by Using Convolution Neural Network.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020

A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020

2019
A Network-based Machine Learning Approach for Identifying Biomarkers of Breast Cancer Survivability.
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

A review on machine learning principles for multi-view biological data integration.
Briefings 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

Identifying suutype specific network-Uiomarkers of breast cancer survivauility.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Drug target interaction predictions using PU- Leaming under different experimental setting for four formulations namely known drug target pair prediction, drug prediction, target prediction and unknown drug target pair prediction.
Proceedings of the 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2018

2017
An Integrative Approach for Identifying Network Biomarkers of Breast Cancer Subtypes Using Genomic, Interactomic, and Transcriptomic Data.
J. Comput. Biol., 2017

Prediction of Calmodulin-Binding Proteins Using Short-Linear Motifs.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

Machine Learning Model for Identifying Gene Biomarkers for Breast Cancer Treatment Survival.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

Outlier Genes as Biomarkers of Breast Cancer Survivability in Time-Series Data.
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
The Max-Min High-Order Dynamic Bayesian Network for Learning Gene Regulatory Networks with Time-Delayed Regulations.
IEEE ACM Trans. Comput. Biol. Bioinform., 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

PAFS - An efficient method for classifier-specific feature selection.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 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

2015
Pattern classification using a new border identification paradigm: The nearest border technique.
Neurocomputing, 2015

The relative vertex clustering value - a new criterion for the fast discovery of functional modules in protein interaction networks.
BMC Bioinform., 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

A novel approach for finding informative genes in ten subtypes of breast cancer.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

Data integration in machine learning.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

A new compact set of biomarkers for distinguishing among ten breast cancer subtypes.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Guest Editorial: Pattern Recognition in Bioinformatics.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Pattern recognition in bioinformatics.
Neurocomputing, 2014

Versatile sparse matrix factorization: Theory and applications.
Neurocomputing, 2014

A decomposition method for large-scale sparse coding in representation learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Nonnegative Least-Squares Methods for the Classification of High-Dimensional Biological Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

The non-negative matrix factorization toolbox for biological data mining.
Source Code Biol. Medicine, 2013

Classification approach based on non-negative least squares.
Neurocomputing, 2013

Sparse representation approaches for the classification of high-dimensional biological data.
BMC Syst. Biol., 2013

Identifying Informative Genes for Prediction of Breast Cancer Subtypes.
Proceedings of the Pattern Recognition in Bioinformatics, 2013

A Fast Agglomerative Community Detection Method for Protein Complex Discovery in Protein Interaction Networks.
Proceedings of the Pattern Recognition in Bioinformatics, 2013

Versatile Sparse Matrix Factorization and Its Applications in High-Dimensional Biological Data Analysis.
Proceedings of the Pattern Recognition in Bioinformatics, 2013

FAC-PIN: Fast agglomerative clustering method for functional modules and protein complex identification in PINs.
Proceedings of the IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, 2013

The max-min high-order dynamic Bayesian network learning for identifying gene regulatory networks from time-series microarray data.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2013

Prediction of Biological Protein-protein Interaction Types Using Short-Linear Motifs.
Proceedings of the ACM Conference on Bioinformatics, 2013

A New Paradigm for Pattern Classification: Nearest Border Techniques.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2012
A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm.
Proceedings of the Pattern Recognition in Bioinformatics, 2012

Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine.
Proceedings of the Pattern Recognition in Bioinformatics, 2012

Supervised Dictionary Learning via Non-negative Matrix Factorization for Classification.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Fast Kernel Sparse Representation Approaches for Classification.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

A new Kernel non-negative matrix factorization and its application in microarray data analysis.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

Fast sparse representation approaches for the classification of high-dimensional biological data.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
Using Qualitative Probability in Reverse-Engineering Gene Regulatory Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Image segmentation of biofilm structures using optimal multi-level thresholding.
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

A new gene subset selection approach based on linearly separating gene pairs.
Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

A Novel Recursive Feature Subset Selection Algorithm.
Proceedings of the 11th IEEE International Conference on Bioinformatics and Bioengineering, 2011

2010
Selection based heuristics for the non-unique oligonucleotide probe selection problem in microarray design.
Pattern Recognit. Lett., 2010

Optimized Hybrid Resource Allocation in Wireless Cellular Networks with and without Channel Reassignment.
J. Comput. Networks Commun., 2010

Optimal decoding and minimal length for the non-unique oligonucleotide probe selection problem.
Neurocomputing, 2010

Computational Intelligence in Bioinformatics.
Neurocomputing, 2010

Multiple gene expression profile alignment for microarray time-series data clustering.
Bioinform., 2010

A Surprise-Based Qualitative Probability Calculus II.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 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

Missing value imputation methods for gene-sample-time microarray data analysis.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

Classification of Clinical Gene-Sample-Time Microarray Expression Data via Tensor Decomposition Methods.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010

Alignment versus variation methods for clustering microarray time-series data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Non-negative matrix and tensor factorization based classification of clinical microarray gene expression data.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

A dynamic qualitative probabilistic network approach for extracting gene regulatory network motifs.
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

Efficient Optimal Multi-level Thresholding for Biofilm Image Segmentation.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

Bayesian Optimization Algorithm for the Non-unique Oligonucleotide Probe Selection Problem.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

A Surprise-based Qualitative Calculus.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Surprise-Based Qualitative Probabilistic Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

Biofilm Image Segmentation Using Optimal Multi-level Thresholding.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

Qualitative Motif Detection in Gene Regulatory Networks.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008
An Evolutionary Approach to the Non-unique Oligonucleotide Probe Selection Problem.
Trans. Comp. Sys. Biology, 2008

Clustering Time-Series Gene Expression Data with Unequal Time Intervals.
Trans. Comp. Sys. Biology, 2008

Qualitative Hidden Markov Models for Classifying Gene Expression Data.
Proceedings of the Research and Development in Intelligent Systems XXV, 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

Non-unique oligonucleotide microarray probe selection method based on genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
On Finding the Best Parameters of Fuzzy k-Means for Clustering Microarray Data.
J. Multiple Valued Log. Soft Comput., 2007

A Qualitative Hidden Markov Model for Spatio-temporal Reasoning.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

A Model-Based Approach to the Non-Unique Oligonucleotide Probe Selection Problem.
Proceedings of the 2nd International ICST Conference on Bio-Inspired Models of Network, 2007

2006
Evolutionary Strategy for Learning Multiple-Valued Logic Functions.
J. Multiple Valued Log. Soft Comput., 2006

Parallel evolution strategy on grids for the protein threading problem.
J. Parallel Distributed Comput., 2006

Protein Threading using Parallel Evolution Strategy.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
On the Computing Capacity of Multiple-Valued Multiple-Threshold Perceptrons.
Proceedings of the Handbook of Bioinspired Algorithms and Applications., 2005

Synthesis of Multiple-Valued Circuits by Neural Networks.
Proceedings of the Handbook of Bioinspired Algorithms and Applications., 2005

A hybrid channel assignment approach using an efficient evolutionary strategy in wireless mobile networks.
IEEE Trans. Veh. Technol., 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

Parallel evolution strategy for protein threading.
Proceedings of the XXV International Conference of the Chilean Computer Science Society, 2005

Genetic Algorithm Based Scheduler for Computational Grids.
Proceedings of the 19th Annual International Symposium on High Performance Computing Systems and Applications (HPCS 2005), 2005

Fast Protein Superfamily Classification Using Principal Component Null Space Analysis.
Proceedings of the Advances in Artificial Intelligence, 2005

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

2003
On the number of multilinear partitions and the computing capacity of multiple-valued multiple-threshold perceptrons.
IEEE Trans. Neural Networks, 2003

2001
STRIP - a strip-based neural-network growth algorithm for learning multiple-valued functions.
IEEE Trans. Neural Networks, 2001

The Computing Capacity of Three-Input Multiple-Valued One-Threshold Perceptrons.
Neural Process. Lett., 2001

2000
Learning with Permutably Homogeneous Multiple-Valued Multiple-Threshold Perceptrons.
Neural Process. Lett., 2000

1998
Minimization of Multivalued Multithreshold Perceptrons using Genetic Algorithms.
Proceedings of the 28th IEEE International Symposium on Multiple-Valued Logic, 1998

Learning with Permutably Homogenous Multiple-Valued Multiple-Threshold Perceptrons.
Proceedings of the 28th IEEE International Symposium on Multiple-Valued Logic, 1998

1997
Completeness Criteria in Set-Valued Logic Under Compositions with Union and Intersection.
Proceedings of the 27th IEEE International Symposium on Multiple-Valued Logic, 1997

1995
Classification of Functions and Enumeration of Bases of Set Logic under Boolean Compositions.
Proceedings of the 25th IEEE International Symposium on Multiple-Valued Logic, 1995


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