Abdoulaye Baniré Diallo

Orcid: 0000-0002-1168-9371

According to our database1, Abdoulaye Baniré Diallo authored at least 48 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A Contemporary Survey on Multisource Information Fusion for Smart Sustainable Cities: Emerging Trends and Persistent Challenges.
Inf. Fusion, 2025

2024
A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach.
CoRR, 2024

Towards Robust Time-to-Event Prediction: Integrating the Variational Information Bottleneck with Neural Survival Model.
Proceedings of the International Joint Conference on Neural Networks, 2024

GWO-Boosted Multi-Attribute Client Selection for Over- The-Air Federated Learning.
Proceedings of the 20th International Conference on the Design of Reliable Communication Networks, 2024

2023
The Canadian Cropland Dataset: A New Land Cover Dataset for Multitemporal Deep Learning Classification in Agriculture.
CoRR, 2023

Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference.
Proceedings of the Comparative Genomics - 20th International Conference, 2023

Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Improving candidate Biosynthetic Gene Clusters in fungi through reinforcement learning.
Bioinform., 2022

Generalized graph pattern discovery in linked data with data properties and a domain ontology.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

KANALYZER: a method to identify variations of discriminative k-mers in genomic sequences.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

EvoVGM: a deep variational generative model for evolutionary parameter estimation.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

A Model for the Prediction of Lifetime Profit Estimate of Dairy Cattle (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Towards Mining Generalized Patterns from RDF Data and a Domain Ontology.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Graph pattern mining on top of a domain ontology - preliminary results from a dairy production application.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Wireless Sensor Network and Irrigation System to Monitor Wheat Growth under Drought Stress.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Toward A Dairy Ontology to Support Precision Farming.
Proceedings of the International Conference on Biomedical Ontologies 2021 co-located with the Workshop on Ontologies for the Behavioural and Social Sciences (OntoBess 2021) as part of the Bolzano Summer of Knowledge (BOSK 2021), 2021

Combining a genetic algorithm and ensemble method to improve the classification of viruses.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

A Deep Learning Framework for Improving Lameness Identification in Dairy Cattle.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Bridging the gap between an ontology and deep neural models by pattern mining.
Proceedings of the Joint Ontology Workshops co-located with the Bolzano Summer of Knowledge (BOSK 2020), 2020

Towards an Effective Decision-making System based on Cow Profitability using Deep Learning.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Leveraging a Domain Ontology in (Neural) Learning from Heterogeneous Data.
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

2019
Toward an Alignment-Free Method for Feature Extraction and Accurate Classification of Viral Sequences.
J. Comput. Biol., 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.
J. Comput. Biol., 2019

Statistical Linear Models in Virus Genomic Alignment-free Classification: Application to Hepatitis C Viruses.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Supporting supervised learning in fungal Biosynthetic Gene Cluster discovery: new benchmark datasets.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

MirLibSpark: A Scalable NGS Plant MicroRNA Prediction Pipeline for Multi-Library Functional Annotation.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018
Bioinformatic Workflow Extraction from Scientific Texts based on Word Sense Disambiguation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

2017
T-GOWler: Discovering Generalized Process Models Within Texts.
J. Comput. Biol., 2017

Preface: Selected Papers from the Workshop Bioinformatics and Artificial Intelligence Joined with the International Joint Conference on Artificial Intelligence.
J. Comput. Biol., 2017

A machine learning approach for viral genome classification.
BMC Bioinform., 2017

Ontology-based workflow pattern mining: application to bioinformatics expertise acquisition.
Proceedings of the Symposium on Applied Computing, 2017

2016
PGR: A Graph Repository of Protein 3D-Structures.
CoRR, 2016

ProtNN: fast and accurate protein 3D-structure classification in structural and topological space.
BioData Min., 2016

Face Recognition in the Wild.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

2015
ProtNN: Fast and Accurate Nearest Neighbor Protein Function Prediction based on Graph Embedding in Structural and Topological Space.
CoRR, 2015

Galaxy-X: A Novel Approach for Multi-class Classification in an Open Universe.
CoRR, 2015

Classification of bioinformatics workflows using weighted versions of partitioning and hierarchical clustering algorithms.
BMC Bioinform., 2015

Acquisition of Generic Problem Solving Knowledge through Information Extraction and Pattern Mining.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2013
Effect of Hundreds Sequenced Genomes on the Classification of Human Papillomaviruses.
Proceedings of the Data Science, 2013

2011
Detecting genomic regions associated with a disease using variability functions and Adjusted Rand Index.
BMC Bioinform., 2011

Predicting site-specific human selective pressure using evolutionary signatures.
Bioinform., 2011

2010
Ancestors 1.0: a web server for ancestral sequence reconstruction.
Bioinform., 2010

2009
A Whole Genome Study and Identification of Specific Carcinogenic Regions of the Human Papilloma Viruses.
J. Comput. Biol., 2009

2008
An Evolutionary Study of the Human Papillomavirus Genomes.
Proceedings of the Comparative Genomics, International Workshop, 2008

2007
Exact and Heuristic Algorithms for the Indel Maximum Likelihood Problem.
J. Comput. Biol., 2007

2006
A New Efficient Method for Assessing Missing Nucleotides in DNA Sequences in the Framework of a Generic Evolutionary Model.
Proceedings of the Data Science and Classification, 2006

Finding Maximum Likelihood Indel Scenarios.
Proceedings of the Comparative Genomics, 2006


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