A. Tchagang

A. Tchagang, Andrew Vu, Muhetaer Mukaidaisi, 2022, 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Towards a Classification Scheme for Inferring the Atomic Composition of Drug-like Molecules from their Quantum Derived Electronic Properties

A. Tchagang, J. Valdés, J. J. Valdés, 2022, 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Deep Evolutionary Learning for Molecular Design

A. Tchagang, H. K. Ooi, Yifeng Li, 2020, ArXiv.

GAMaterial—A genetic‐algorithm software for material design and discovery

D. Salahub, A. Tchagang, P. Calaminici, 2022, J. Comput. Chem..

Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach

Julio J. Valdés, Alain B. Tchagang, A. Tchagang, 2019, ICANN.

Mining biological information from 3D short time-series gene expression data: the OPTricluster algorithm

Yi Huang, Sieu Phan, Fazel Famili, 2012, BMC Bioinformatics.

Enrichment of Triticum aestivum gene annotations using ortholog cliques and gene ontologies in other plants

D. Tulpan, Youlian Pan, A. Tchagang, 2015, BMC Genomics.

A differential biclustering algorithm for comparative analysis of gene expression

Ahmed H. Tewfik, Alain B. Tchagang, Amy P. N. Skubitz, 2006, 2006 14th European Signal Processing Conference.

Digitization of trait representation in microarray data analysis of wheat infected by fusarium graminearum

Sieu Phan, Dan Tulpan, Youlian Pan, 2015, 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Deterministic Numeric Simulation and Surrogate Models with White and Black Machine Learning Methods: A Case Study on Inverse Mappings

Julio J. Valdés, Alain B. Tchagang, A. Tchagang, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Deterministic Numeric Simulation and Surrogate Models with White and Black Machine Learning Methods: A Case Study on Direct Mappings

Julio J. Valdés, Alain B. Tchagang, A. Tchagang, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

A Fourier-transformed feature engineering design for predicting ternary perovskite properties by coupling a two-dimensional convolutional neural network with a support vector machine (Conv2D-SVM)

A. Tchagang, M. Nganbe, Ericsson Tetteh Chenebuah, 2023, Materials Research Express.

Parallel identification of gene biclusters with coherent evolutions

Ahmed H. Tewfik, Alain B. Tchagang, Laura Vertatschitsch, 2006, IEEE Transactions on Signal Processing.

Parallel Biclustering of Genes with Coherent Evolutions: Algorithm and Biological Significance of the Biclusters

Ahmed H. Tewfik, Alain B. Tchagang, Laura Vertatschitsch, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Biclustering of Gene with Coherent Evolutions

A.H. Tewfik, A.B. Tchagang, A. Tewfik, 2005, 2005 IEEE Workshop on Machine Learning for Signal Processing.

Comparative analysis of machine learning approaches on the prediction of the electronic properties of perovskites: A case study of ABX3 and A2BB’X6

A. Tchagang, M. Nganbe, Ericsson Tetteh Chenebuah, 2021, Materials Today Communications.

Towards a temporal modeling of the genetic network controlling Systemic Acquired Resistance in Arabidopsis thaliana

Sieu Phan, Fazel Famili, Youlian Pan, 2010, 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Integrative Data Mining in Functional Genomics of Brassica napus and Arabidopsis thaliana

Sieu Phan, Fazel Famili, Ziying Liu, 2010, IEA/AIE.

Time Frequency Representations and Deep Convolutional Neural Networks: A Recipe for Molecular Properties Prediction

Julio J. Valdés, Alain B. Tchagang, A. Tchagang, 2021, 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks

Julio J. Valdés, Alain B. Tchagang, A. Tchagang, 2019, ICANN.

Adversarial Deep Evolutionary Learning for Drug Design

Alain B. Tchagang, Yifeng Li, Sheriff Abouchekeir, 2021, 2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Global optimization of ~ 1 nm MoS2 and CaCO3 nanoparticles

D. Salahub, A. Tchagang, Jiří Hostaš, 2021, Theoretical Chemistry Accounts.

Taking the multiplicity inside the loop: active learning for structural and spin multiplicity elucidation of atomic clusters

D. Salahub, A. Tchagang, P. Calaminici, 2021, Theoretical Chemistry Accounts.

Machine Learning Based Electronic Structure Predictors in Single-Atom Alloys: A Model Study of CO Kink-Site Adsorption across Transition Metal Substrates

Shuaishuai Yuan, K. Bevan, A. Tchagang, 2023, Journal of Physical Chemistry C.

Extracting biologically significant patterns from short time series gene expression data

Panayiotis V. Benos, Alain B. Tchagang, Kevin V. Bui, 2009, BMC Bioinformatics.

Biclustering of DNA Microarray Data: Theory, Evaluation, and Applications

Ahmed H. Tewfik, Fazel Famili, Panayiotis V. Benos, 2011, Handbook of Research on Computational and Systems Biology.

Coordinated Control Strategy and Validation of Vehicle-to-Grid for Frequency Control

Alain Tchagang, Yousef Al-Shawesh, Yeong Yoo, 2021, Energies.

Integration of 3D gene expression patterns and gene regulatory networks for clinical applications in epithelial ovarian cancer

Youlian Pan, Alain B. Tchagang, François Fauteux, 2016, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

A new active learning approach for global optimization of atomic clusters

D. Salahub, A. Tchagang, Jiří Hostaš, 2021, Theoretical Chemistry Accounts.

Towards the reconstruction of Brassica napus seed development FA metabolism dynamic regulatory map

Sieu Phan, Fazel Famili, Ziying Liu, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Bioinformatics identification of new targets for improving low temperature stress tolerance in spring and winter wheat

Dan Tulpan, Youlian Pan, Alain B. Tchagang, 2017, BMC Bioinformatics.

An evolutionary variational autoencoder for perovskite discovery

A. Tchagang, E. Chenebuah, Michel Nganbe, 2023, Frontiers in Materials.

Adversarial deep evolutionary learning for drug design

A. Tchagang, Andrew Vu, Muhetaer Mukaidaisi, 2022, Biosyst..

A generic model of transcriptional regulatory networks: Application to plants under abiotic stress

Sieu Phan, Fazel Famili, Youlian Pan, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

Analysis of molecular profile data using generative and discriminative methods

A. Tewfik, M. DeRycke, A. Tchagang, 2008 .

Examining multi-objective deep reinforcement learning frameworks for molecular design

A. Tchagang, Andrew Vu, Muhetaer Mukaidaisi, 2023, Biosyst..

Analysis of molecular profile data using generative and discriminative methods

A. Tewfik, M. DeRycke, A. Tchagang, 2008 .

Extracting biologically significant patterns from short time series gene expression data

P. Benos, A. Tchagang, Kevin V. Bui, 2009, BMC Bioinformatics.

Enrichment of Triticum aestivum gene annotations using ortholog cliques and gene ontologies in other plants

Dan Tulpan, Youlian Pan, Alain Tchagang, 2015, BMC Genomics.

Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design

A. Tchagang, J. J. Valdés, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Distributed Robust Biclustering Algorithm for Gene Expression Analysis

A.H. Tewfik, A.B. Tchagang, A. Tewfik, 2007, 2007 IEEE International Workshop on Genomic Signal Processing and Statistics.

Analysis of order preserving genes biclusters

A. Tewfik, A. Tchagang, A.B. Tchagang, 2006, 2006 IEEE International Workshop on Genomic Signal Processing and Statistics.

Robust biclustering algorithm (ROBA) for DNA microarray data analysis

Ahmed H. Tewfik, Alain B. Tchagang, A. Tewfik, 2005, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.

DNA Microarray Data Analysis: A Novel Biclustering Algorithm Approach

Ahmed H. Tewfik, Alain B. Tchagang, A. Tewfik, 2006, EURASIP J. Adv. Signal Process..