Finding Maximum Likelihood Indel Scenarios. - Abdoulaye Baniré Diallo; Vladimir Makarenkov; Mathieu Blanchette (Comparative Genomics, 2006)

A New Efficient Method for Assessing Missing Nucleotides in DNA Sequences in the Framework of a Generic Evolutionary Model. - Abdoulaye Baniré Diallo; Vladimir Makarenkov; Mathieu Blanchette; François-Joseph Lapointe (Data Science and Classification, 2006)

Exact and Heuristic Algorithms for the Indel Maximum Likelihood Problem. - Abdoulaye Baniré Diallo; Vladimir Makarenkov; Mathieu Blanchette (J. Comput. Biol., 2007)

An Evolutionary Study of the Human Papillomavirus Genomes. - Dunarel Badescu; Abdoulaye Baniré Diallo; Mathieu Blanchette; Vladimir Makarenkov (RECOMB-CG, 2008)

A Whole Genome Study and Identification of Specific Carcinogenic Regions of the Human Papilloma Viruses. - Abdoulaye Baniré Diallo; Dunarel Badescu; Mathieu Blanchette; Vladimir Makarenkov (J. Comput. Biol., 2009)

Ancestors 1.0: a web server for ancestral sequence reconstruction. - Abdoulaye Baniré Diallo; Vladimir Makarenkov; Mathieu Blanchette (Bioinform., 2010)

Predicting site-specific human selective pressure using evolutionary signatures. - Javad Sadri; Abdoulaye Baniré Diallo; Mathieu Blanchette (Bioinform., 2011)

Detecting genomic regions associated with a disease using variability functions and Adjusted Rand Index. - Dunarel Badescu; Alix Boc; Abdoulaye Baniré Diallo; Vladimir Makarenkov (BMC Bioinform., 2011)

Effect of Hundreds Sequenced Genomes on the Classification of Human Papillomaviruses. - Bruno Daigle; Vladimir Makarenkov; Abdoulaye Baniré Diallo (ECDA, 2013)

Acquisition of Generic Problem Solving Knowledge through Information Extraction and Pattern Mining. - Ahmed Halioui; Petko Valtchev; Abdoulaye Baniré Diallo (ICTAI, 2015)

Classification of bioinformatics workflows using weighted versions of partitioning and hierarchical clustering algorithms. - Etienne Lord; Abdoulaye Baniré Diallo; Vladimir Makarenkov (BMC Bioinform., 2015)

Galaxy-X: A Novel Approach for Multi-class Classification in an Open Universe. - Wajdi Dhifli; Abdoulaye Baniré Diallo (CoRR, 2015)

ProtNN: Fast and Accurate Nearest Neighbor Protein Function Prediction based on Graph Embedding in Structural and Topological Space. - Wajdi Dhifli; Abdoulaye Baniré Diallo (CoRR, 2015)

Face Recognition in the Wild. - Wajdi Dhifli; Abdoulaye Baniré Diallo (KES, 2016)

ProtNN: fast and accurate protein 3D-structure classification in structural and topological space. - Wajdi Dhifli; Abdoulaye Baniré Diallo (BioData Min., 2016)

PGR: A Graph Repository of Protein 3D-Structures. - Wajdi Dhifli; Abdoulaye Baniré Diallo (CoRR, 2016)

Ontology-based workflow pattern mining: application to bioinformatics expertise acquisition. - Ahmed Halioui; Tomas Martin; Petko Valtchev; Abdoulaye Baniré Diallo (SAC, 2017)

A machine learning approach for viral genome classification. - Mohamed Amine Remita; Ahmed Halioui; Abou Abdallah Malick Diouara; Bruno Daigle; Golrokh Kiani; Abdoulaye Baniré Diallo (BMC Bioinform., 2017)

Preface: Selected Papers from the Workshop Bioinformatics and Artificial Intelligence Joined with the International Joint Conference on Artificial Intelligence. - Abdoulaye Baniré Diallo; Engelbert Mephu Nguifo; Mohammed J. Zaki (J. Comput. Biol., 2017)

T-GOWler: Discovering Generalized Process Models Within Texts. - Ahmed Halioui; Petko Valtchev; Abdoulaye Baniré Diallo (J. Comput. Biol., 2017)

Bioinformatic Workflow Extraction from Scientific Texts based on Word Sense Disambiguation. - Ahmed Halioui; Petko Valtchev; Abdoulaye Baniré Diallo (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

MirLibSpark: A Scalable NGS Plant MicroRNA Prediction Pipeline for Multi-Library Functional Annotation. - Chao-Jung Wu; Amine M. Remita; Abdoulaye Baniré Diallo (BCB, 2019)

Supporting supervised learning in fungal Biosynthetic Gene Cluster discovery: new benchmark datasets. - Hayda Almeida; Adrian Tsang; Abdoulaye Baniré Diallo (BIBM, 2019)

Statistical Linear Models in Virus Genomic Alignment-free Classification: Application to Hepatitis C Viruses. - Amine M. Remita; Abdoulaye Baniré Diallo (BIBM, 2019)

Selected Papers from the Workshop on Computational Biology: Joint with the International Joint Conference on Artificial Intelligence and the International Conference on Machine Learning, 2018. - Abdoulaye Baniré Diallo; Engelbert Mephu Nguifo; Wajdi Dhifli; Elham Azizi; Sandhya Prabhakaran; Wesley Tansey (J. Comput. Biol., 2019)

Toward an Alignment-Free Method for Feature Extraction and Accurate Classification of Viral Sequences. - Dylan Lebatteux; Amine M. Remita; Abdoulaye Baniré Diallo (J. Comput. Biol., 2019)

Leveraging a Domain Ontology in (Neural) Learning from Heterogeneous Data. - Tomas Martin; Petko Valtchev; Abdoulaye Baniré Diallo (CIKM (Workshops), 2020)

Towards an Effective Decision-making System based on Cow Profitability using Deep Learning. - Charlotte Gonçalves Frasco; Maxime Radmacher; René Lacroix; Roger Cue; Petko Valtchev; Claude Robert; Mounir Boukadoum; Marc-André Sirard; Abdoulaye Baniré Diallo (ICAART (2), 2020)

Bridging the gap between an ontology and deep neural models by pattern mining. - Tomas Martin; Abdoulaye Baniré Diallo; Petko Valtchev; René Lacroix (JOWO, 2020)

A Deep Learning Framework for Improving Lameness Identification in Dairy Cattle. - Yasmine Karoui; Amanda A. Boatswain Jacques; Abdoulaye Baniré Diallo; Elise Shepley; Elsa Vasseur (AAAI, 2021)

Combining a genetic algorithm and ensemble method to improve the classification of viruses. - Dylan Lebatteux; Abdoulaye Baniré Diallo (BIBM, 2021)

Toward A Dairy Ontology to Support Precision Farming. - Victor Fuentes; Tomas Martin; Petko Valtchev; Abdoulaye Baniré Diallo; René Lacroix; Maxime Leduc (ICBO, 2021)

Wireless Sensor Network and Irrigation System to Monitor Wheat Growth under Drought Stress. - Atia B. Amin; Georges Octave Dubois; Séphora Thurel; Jean Danyluk; Mounir Boukadoum; Abdoulaye Baniré Diallo (ISCAS, 2021)

Graph pattern mining on top of a domain ontology - preliminary results from a dairy production application. - Tomas Martin; Victor Fuentes; Petko Valtchev; Abdoulaye Baniré Diallo; René Lacroix; Mounir Boukadoum; Maxime Leduc (KES, 2021)

Towards Mining Generalized Patterns from RDF Data and a Domain Ontology. - Tomas Martin; Victor Fuentes; Petko Valtchev; Abdoulaye Baniré Diallo; René Lacroix; Maxime Leduc; Mounir Boukadoum (PKDD/ECML Workshops (1), 2021)

A Model for the Prediction of Lifetime Profit Estimate of Dairy Cattle (Student Abstract). - Vahid Naghashi; Abdoulaye Baniré Diallo (AAAI, 2022)

EvoVGM: a deep variational generative model for evolutionary parameter estimation. - Amine M. Remita; Abdoulaye Baniré Diallo (BCB, 2022)

KANALYZER: a method to identify variations of discriminative k-mers in genomic sequences. - Dylan Lebatteux; Hugo Soudeyns; Isabelle Boucoiran; Soren Gantt; Abdoulaye Baniré Diallo (BIBM, 2022)

Generalized graph pattern discovery in linked data with data properties and a domain ontology. - Tomas Martin; Victor Fuentes; Petko Valtchev; Abdoulaye Baniré Diallo; René Lacroix (SAC, 2022)

Improving candidate Biosynthetic Gene Clusters in fungi through reinforcement learning. - Hayda Almeida; Adrian Tsang; Abdoulaye Baniré Diallo (Bioinform., 2022)

Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective. - Nairouz Mrabah; Mohamed Mahmoud Amar; Mohamed Bouguessa; Abdoulaye Baniré Diallo (AAAI, 2023)

Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data. - Nairouz Mrabah; Mohamed Mahmoud Amar; Mohamed Bouguessa; Abdoulaye Baniré Diallo (IJCAI, 2023)

Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference. - Amine M. Remita; Golrokh Vitae; Abdoulaye Baniré Diallo (RECOMB-CG, 2023)

The Canadian Cropland Dataset: A New Land Cover Dataset for Multitemporal Deep Learning Classification in Agriculture. - Amanda A. Boatswain Jacques; Abdoulaye Baniré Diallo; Etienne Lord (CoRR, 2023)

MLCDG: Multi-Level Contrastive Graph Clustering in Dynamic Graphs. - Mohamed Mahmoud Amar; Mohamed Bouguessa; Abdoulaye Baniré Diallo (ASONAM (3), 2024)

Ensemble learning for heterogeneous biomarker discovery in precision dairy farming. - Hayda Almeida; Nicolas Barbeau-Grégoire; Bilal Muhammad; Maxime Leduc; Younes Chofi; Xin Zhao; Jocelyn Dubuc; Abdoulaye Baniré Diallo (BIBM, 2024)

GWO-Boosted Multi-Attribute Client Selection for Over- The-Air Federated Learning. - Maryam Ben Driss; Essaid Sabir; Halima Elbiaze; Abdoulaye Baniré Diallo; Mohamed Sadik (DRCN, 2024)

Towards Robust Time-to-Event Prediction: Integrating the Variational Information Bottleneck with Neural Survival Model. - Armand Bandiang Massoua; Abdoulaye Baniré Diallo; Mohamed Bouguessa (IJCNN, 2024)

In silico framework for genome analysis. - M. Saqib Nawaz; Muhammad Zohaib Nawaz; Yongshun Gong; Philippe Fournier-Viger; Abdoulaye Baniré Diallo (Future Gener. Comput. Syst., 2025)

A Contemporary Survey on Multisource Information Fusion for Smart Sustainable Cities: Emerging Trends and Persistent Challenges. - Houda Orchi; Abdoulaye Baniré Diallo; Halima Elbiaze; Essaid Sabir; Mohamed Sadik (Inf. Fusion, 2025)

AI-Powered Cow Detection in Complex Farm Environments. - Voncarlos M. Araújo; Ines Rili; Thomas Gisiger; Sébastien Gambs; Elsa Vasseur; Marjorie Cellier; Abdoulaye Baniré Diallo (CoRR, 2025)

A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach. - Maryam Ben Driss; Essaid Sabir; Halima Elbiaze; Abdoulaye Baniré Diallo; Mohamed Sadik (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2025)