Predicting the potential distribution of wheatear birds using stacked generalization-based ensembles

O El Alaoui, A Idri - Ecological Informatics, 2023 - Elsevier
Habitat suitability models, usually referred to as species distribution models (SDMs), are
widely applied in ecology for many purposes, including species conservation, habitat …

[HTML][HTML] Classification of Multiple H&E Images via an Ensemble Computational Scheme

LHC Longo, GF Roberto, TAA Tosta, PR de Faria… - Entropy, 2023 - mdpi.com
In this work, a computational scheme is proposed to identify the main combinations of
handcrafted descriptors and deep-learned features capable of classifying histological …

[HTML][HTML] Ensemble Learning-Based Solutions: An Approach for Evaluating Multiple Features in the Context of H&E Histological Images

JJ Tenguam, LHC Longo, GF Roberto, TAA Tosta… - Applied Sciences, 2024 - mdpi.com
In this paper, we propose an approach based on ensemble learning to classify histology
tissues stained with hematoxylin and eosin. The proposal was applied to representative …

Exploring DeepDream and XAI Representations for Classifying Histological Images

JMC Martinez, LA Neves, LHC Longo, GB Rozendo… - SN Computer …, 2024 - Springer
The application of machine learning methods to analyze histological images has led to
significant advances in computer-aided diagnosis. In this work, a study was carried out to …

An Empirical Evaluation of Ensemble Strategies in Habitat Suitability Modeling

O El Alaoui, A Idri - SN Computer Science, 2024 - Springer
Habitat protection is a critical aspect of species conservation, as restoring a habitat to its
former state after it has been destroyed can be difficult. Species Distribution Models (SDMs) …

[PDF][PDF] Heterogeneous Ensemble Learning for Modelling Species Distribution: A Case Study of Redstarts Habitat Suitability.

O El Alaoui, A Idri - DATA, 2023 - scitepress.org
Habitat protection is a critical aspect of species conservation, as restoring a habitat to its
former state after it has been destroyed can be difficult. Species Distribution Models (SDMs) …

[HTML][HTML] A Novel Artificial Intelligence Techniques for Women Breast Cancer Classification Using Ultrasound Images

S Afrifa, V Varadarajan, P Appiahene… - Clinical and Experimental …, 2023 - imrpress.com
Background: Females benefit from ultrasound screening and diagnosis of breast cancer,
and artificial intelligence has enabled the automatic identification of medical conditions on …

DHHoE: Deep hybrid homogenous ensemble for digital histological breast cancer classification

H Zerouaoui, A Idri, O El Alaoui - Expert Systems - Wiley Online Library
The progress of deep learning architectures, machine learning models and pathology slide
digitization is an encouraging step toward meeting the growing demand for more precise …