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Abdoulaye Baniré Diallo
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2020 – today
- 2025
- [j15]Houda Orchi
, Abdoulaye Baniré Diallo, Halima Elbiaze, Essaid Sabir, Mohamed Sadik:
A Contemporary Survey on Multisource Information Fusion for Smart Sustainable Cities: Emerging Trends and Persistent Challenges. Inf. Fusion 114: 102667 (2025) - 2024
- [c27]Maryam Ben Driss, Essaid Sabir, Halima Elbiaze, Abdoulaye Baniré Diallo, Mohamed Sadik:
GWO-Boosted Multi-Attribute Client Selection for Over- The-Air Federated Learning. DRCN 2024: 62-69 - [c26]Armand Bandiang Massoua, Abdoulaye Baniré Diallo, Mohamed Bouguessa:
Towards Robust Time-to-Event Prediction: Integrating the Variational Information Bottleneck with Neural Survival Model. IJCNN 2024: 1-8 - [i9]Maryam Ben Driss, Essaid Sabir, Halima Elbiaze, Abdoulaye Baniré Diallo, Mohamed Sadik:
A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach. CoRR abs/2409.11442 (2024) - 2023
- [c25]Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Baniré Diallo:
Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective. AAAI 2023: 9235-9242 - [c24]Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Baniré Diallo:
Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data. IJCAI 2023: 4855-4863 - [c23]Amine M. Remita
Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference. RECOMB-CG 2023: 112-130 - [i8]Amine M. Remita, Golrokh Kiani Vitae, Abdoulaye Baniré Diallo:
Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference. CoRR abs/2302.02522 (2023) - [i7]Amanda A. Boatswain Jacques, Abdoulaye Baniré Diallo, Etienne Lord:
The Canadian Cropland Dataset: A New Land Cover Dataset for Multitemporal Deep Learning Classification in Agriculture. CoRR abs/2306.00114 (2023) - 2022
- [j14]Hayda Almeida
Improving candidate Biosynthetic Gene Clusters in fungi through reinforcement learning. Bioinform. 38(16): 3984-3991 (2022) - [c22]Vahid Naghashi, Abdoulaye Baniré Diallo:
A Model for the Prediction of Lifetime Profit Estimate of Dairy Cattle (Student Abstract). AAAI 2022: 13021-13022 - [c21]Amine M. Remita
EvoVGM: a deep variational generative model for evolutionary parameter estimation. BCB 2022: 1:1-1:10 - [c20]Dylan Lebatteux, Hugo Soudeyns, Isabelle Boucoiran, Soren Gantt
KANALYZER: a method to identify variations of discriminative k-mers in genomic sequences. BIBM 2022: 757-762 - [c19]Tomas Martin, Victor Fuentes, Petko Valtchev, Abdoulaye Baniré Diallo, René Lacroix:
Generalized graph pattern discovery in linked data with data properties and a domain ontology. SAC 2022: 1890-1899 - [i6]Amine M. Remita, Abdoulaye Baniré Diallo:
EvoVGM: A Deep Variational Generative Model for Evolutionary Parameter Estimation. CoRR abs/2205.13034 (2022) - 2021
- [c18]Yasmine Karoui, Amanda A. Boatswain Jacques, Abdoulaye Baniré Diallo, Elise Shepley, Elsa Vasseur:
A Deep Learning Framework for Improving Lameness Identification in Dairy Cattle. AAAI 2021: 15811-15812 - [c17]Dylan Lebatteux, Abdoulaye Baniré Diallo:
Combining a genetic algorithm and ensemble method to improve the classification of viruses. BIBM 2021: 688-693 - [c16]Victor Fuentes, Tomas Martin, Petko Valtchev, Abdoulaye Baniré Diallo, René Lacroix, Maxime Leduc:
Toward A Dairy Ontology to Support Precision Farming. ICBO 2021: 24-35 - [c15]Atia B. Amin, Georges Octave Dubois, Séphora Thurel, Jean Danyluk, Mounir Boukadoum, Abdoulaye Baniré Diallo:
Wireless Sensor Network and Irrigation System to Monitor Wheat Growth under Drought Stress. ISCAS 2021: 1-4 - [c14]Tomas Martin, Victor Fuentes, Petko Valtchev, Abdoulaye Baniré Diallo, René Lacroix, Mounir Boukadoum, Maxime Leduc:
Graph pattern mining on top of a domain ontology - preliminary results from a dairy production application. KES 2021: 1227-1236 - [c13]Tomas Martin, Victor Fuentes, Petko Valtchev, Abdoulaye Baniré Diallo, René Lacroix, Maxime Leduc, Mounir Boukadoum:
Towards Mining Generalized Patterns from RDF Data and a Domain Ontology. PKDD/ECML Workshops (1) 2021: 268-278 - 2020
- [c12]Tomas Martin, Petko Valtchev, Abdoulaye Baniré Diallo:
Leveraging a Domain Ontology in (Neural) Learning from Heterogeneous Data. CIKM (Workshops) 2020 - [c11]Charlotte Gonçalves Frasco, Maxime Radmacher, René Lacroix, Roger Cue, Petko Valtchev, Claude Robert, Mounir Boukadoum, Marc-André Sirard, Abdoulaye Baniré Diallo:
Towards an Effective Decision-making System based on Cow Profitability using Deep Learning. ICAART (2) 2020: 949-958 - [c10]Tomas Martin, Abdoulaye Baniré Diallo, Petko Valtchev, René Lacroix:
Bridging the gap between an ontology and deep neural models by pattern mining. JOWO 2020 - [i5]Hayda Almeida, Adrian Tsang, Abdoulaye Baniré Diallo:
Supporting supervised learning in fungal Biosynthetic Gene Cluster discovery: new benchmark datasets. CoRR abs/2001.03260 (2020)
2010 – 2019
- 2019
- [j13]Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo, Wajdi Dhifli
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. J. Comput. Biol. 26(6): 507-508 (2019) - [j12]Dylan Lebatteux, Amine M. Remita
Toward an Alignment-Free Method for Feature Extraction and Accurate Classification of Viral Sequences. J. Comput. Biol. 26(6): 519-535 (2019) - [c9]Chao-Jung Wu, Amine M. Remita, Abdoulaye Baniré Diallo:
MirLibSpark: A Scalable NGS Plant MicroRNA Prediction Pipeline for Multi-Library Functional Annotation. BCB 2019: 669-674 - [c8]Amine M. Remita
Statistical Linear Models in Virus Genomic Alignment-free Classification: Application to Hepatitis C Viruses. BIBM 2019: 474-481 - [c7]Hayda Almeida, Adrian Tsang, Abdoulaye Baniré Diallo:
Supporting supervised learning in fungal Biosynthetic Gene Cluster discovery: new benchmark datasets. BIBM 2019: 1280-1287 - [i4]Amine M. Remita, Abdoulaye Baniré Diallo:
Statistical Linear Models in Virus Genomic Alignment-free Classification: Application to Hepatitis C Viruses. CoRR abs/1910.05421 (2019) - 2018
- [j11]Ahmed Halioui
Bioinformatic Workflow Extraction from Scientific Texts based on Word Sense Disambiguation. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1979-1990 (2018) - 2017
- [j10]Mohamed Amine Remita
A machine learning approach for viral genome classification. BMC Bioinform. 18(1): 208:1-208:11 (2017) - [j9]Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo
Preface: Selected Papers from the Workshop Bioinformatics and Artificial Intelligence Joined with the International Joint Conference on Artificial Intelligence. J. Comput. Biol. 24(8): 733 (2017) - [j8]Ahmed Halioui
T-GOWler: Discovering Generalized Process Models Within Texts. J. Comput. Biol. 24(8): 799-808 (2017) - [c6]Ahmed Halioui, Tomas Martin, Petko Valtchev
Ontology-based workflow pattern mining: application to bioinformatics expertise acquisition. SAC 2017: 824-827 - [e2]Wajdi Dhifli, Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo, Mohammed Javeed Zaki:
Proceedings of the Workshop on Advances in Bioinformatics and Artificial Intelligence: Bridging the Gap co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 20, 2017. CEUR Workshop Proceedings 1942, CEUR-WS.org 2017 [contents] - 2016
- [j7]Wajdi Dhifli
ProtNN: fast and accurate protein 3D-structure classification in structural and topological space. BioData Min. 9: 30 (2016) - [c5]Wajdi Dhifli
Face Recognition in the Wild. KES 2016: 1571-1580 - [e1]Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo, Mohammed J. Zaki:
Proceedings of the Workshop on Advances in Bioinformatics and Artificial Intelligence: Bridging the Gap co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New-York, USA, July 11, 2016. CEUR Workshop Proceedings 1718, CEUR-WS.org 2016 [contents] - [i3]Wajdi Dhifli, Abdoulaye Baniré Diallo:
PGR: A Graph Repository of Protein 3D-Structures. CoRR abs/1604.00045 (2016) - 2015
- [j6]Etienne Lord, Abdoulaye Baniré Diallo, Vladimir Makarenkov:
Classification of bioinformatics workflows using weighted versions of partitioning and hierarchical clustering algorithms. BMC Bioinform. 16: 68:1-68:19 (2015) - [c4]Ahmed Halioui
Acquisition of Generic Problem Solving Knowledge through Information Extraction and Pattern Mining. ICTAI 2015: 583-590 - [i2]Wajdi Dhifli, Abdoulaye Baniré Diallo:
Galaxy-X: A Novel Approach for Multi-class Classification in an Open Universe. CoRR abs/1511.00725 (2015) - [i1]Wajdi Dhifli, Abdoulaye Baniré Diallo:
ProtNN: Fast and Accurate Nearest Neighbor Protein Function Prediction based on Graph Embedding in Structural and Topological Space. CoRR abs/1511.00736 (2015) - 2013
- [c3]Bruno Daigle
Effect of Hundreds Sequenced Genomes on the Classification of Human Papillomaviruses. ECDA 2013: 309-318 - 2011
- [j5]Javad Sadri, Abdoulaye Baniré Diallo, Mathieu Blanchette:
Predicting site-specific human selective pressure using evolutionary signatures. Bioinform. 27(13): 266-274 (2011) - [j4]Dunarel Badescu, Alix Boc, Abdoulaye Baniré Diallo, Vladimir Makarenkov:
Detecting genomic regions associated with a disease using variability functions and Adjusted Rand Index. BMC Bioinform. 12(S-9): S9 (2011) - 2010
- [j3]Abdoulaye Baniré Diallo, Vladimir Makarenkov, Mathieu Blanchette:
Ancestors 1.0: a web server for ancestral sequence reconstruction. Bioinform. 26(1): 130-131 (2010)
2000 – 2009
- 2009
- [j2]Abdoulaye Baniré Diallo, Dunarel Badescu, Mathieu Blanchette, Vladimir Makarenkov:
A Whole Genome Study and Identification of Specific Carcinogenic Regions of the Human Papilloma Viruses. J. Comput. Biol. 16(10): 1461-1473 (2009) - 2008
- [c2]Dunarel Badescu, Abdoulaye Baniré Diallo, Mathieu Blanchette, Vladimir Makarenkov:
An Evolutionary Study of the Human Papillomavirus Genomes. RECOMB-CG 2008: 128-142 - 2007
- [j1]Abdoulaye Baniré Diallo, Vladimir Makarenkov, Mathieu Blanchette:
Exact and Heuristic Algorithms for the Indel Maximum Likelihood Problem. J. Comput. Biol. 14(4): 446-461 (2007) - 2006
- [c1]Abdoulaye Baniré Diallo, Vladimir Makarenkov, Mathieu Blanchette:
Finding Maximum Likelihood Indel Scenarios. Comparative Genomics 2006: 171-185 - [p1]Abdoulaye Baniré Diallo, Vladimir Makarenkov, Mathieu Blanchette, François-Joseph Lapointe:
A New Efficient Method for Assessing Missing Nucleotides in DNA Sequences in the Framework of a Generic Evolutionary Model. Data Science and Classification 2006: 333-340
Coauthor Index
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