Moulay A. Akhloufi

Orcid: 0000-0002-4378-2669

Affiliations:
  • University of Moncton, Canada
  • Laval University, Québec City, Canada (former)


According to our database1, Moulay A. Akhloufi authored at least 87 papers between 1999 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Deep learning for breast cancer diagnosis from histopathological images: classification and gene expression: review.
Netw. Model. Anal. Health Informatics Bioinform., December, 2024

SWIFT: Simulated Wildfire Images for Fast Training Dataset.
Remote. Sens., May, 2024

A Hybrid Deep Learning Architecture for Apple Foliar Disease Detection.
Comput., May, 2024

Drone Swarm Coordination Using Reinforcement Learning for Efficient Wildfires Fighting.
SN Comput. Sci., March, 2024

An advanced accident avoidance system based on imbalance-control ensemble and deep learning fusion design.
J. Intell. Fuzzy Syst., February, 2024

Deep learning for report generation on chest X-ray images.
Comput. Medical Imaging Graph., January, 2024

Combining frequency transformer and CNNs for medical image segmentation.
Multim. Tools Appl., 2024

2023
WordNet Semantic Relations Based Enhancement of KNN Model for Implicit Aspect Identification in Sentiment Analysis.
Int. J. Comput. Intell. Syst., December, 2023

A novel breast cancer detection architecture based on a CNN-CBR system for mammogram classification.
Comput. Biol. Medicine, September, 2023

Deep Learning Methods for Chest Disease Detection Using Radiography Images.
SN Comput. Sci., July, 2023

Vision Transformers for Lung Segmentation on CXR Images.
SN Comput. Sci., July, 2023

DeepPress: guided press release topic-aware text generation using ensemble transformers.
Neural Comput. Appl., June, 2023

A Review of Deep Learning Techniques for Glaucoma Detection.
SN Comput. Sci., May, 2023

Transformer models used for text-based question answering systems.
Appl. Intell., May, 2023

Deep Learning Approaches for Wildland Fires Remote Sensing: Classification, Detection, and Segmentation.
Remote. Sens., April, 2023

Character-level arabic text generation from sign language video using encoder-decoder model.
Displays, January, 2023

DCTable: A Dilated CNN with Optimizing Anchors for Accurate Table Detection.
J. Imaging, 2023

Peer-to-Peer Federated Learning for COVID-19 Detection Using Transformers.
Comput., 2023

MalBERTv2: Code Aware BERT-Based Model for Malware Identification.
Big Data Cogn. Comput., 2023

A Real-Time Deep UAV Detection Framework Based on a YOLOv8 Perception Module.
Proceedings of the Intelligent Systems and Pattern Recognition, 2023

Proximity-Based Reward System and Reinforcement Learning for Path Planning.
Proceedings of the 15th International Conference on Computer and Automation Engineering, 2023

2022
Deep Learning and Transformer Approaches for UAV-Based Wildfire Detection and Segmentation.
Sensors, 2022

Classification of CXR Chest Diseases by Ensembling Deep Learning Models.
Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022

Multi-Scale Deep Ensemble Learning for Melanoma Skin Cancer Detection.
Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022

ARSeg: An Attention RegSeg Architecture for CXR Lung Segmentation.
Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022

Wildfires Detection and Segmentation Using Deep CNNs and Vision Transformers.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

CTPlantNet: A Hybrid CNN-Transformer Architecture for Plant Disease Classification.
Proceedings of the International Conference on Microelectronics, 2022

Deep Learning for Marine Bioacoustics and Fish Classification Using Underwater Sounds.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

Chest Diseases Classification Using CXR and Deep Ensemble Learning.
Proceedings of the CBMI 2022: International Conference on Content-based Multimedia Indexing, Graz, Austria, September 14, 2022

Skin Cancer Detection using Ensemble Learning and Grouping of Deep Models.
Proceedings of the CBMI 2022: International Conference on Content-based Multimedia Indexing, Graz, Austria, September 14, 2022

Wildfire Segmentation using Deep-RegSeg Semantic Segmentation Architecture.
Proceedings of the CBMI 2022: International Conference on Content-based Multimedia Indexing, Graz, Austria, September 14, 2022

Deep Learning and Computer Vision Techniques for Estimating Snow Coverage on Roads using Surveillance Cameras.
Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

2021
Learning to Drive by Imitation: An Overview of Deep Behavior Cloning Methods.
IEEE Trans. Intell. Veh., 2021

Wildfire Segmentation Using Deep Vision Transformers.
Remote. Sens., 2021

A review on absolute visual localization for UAV.
Robotics Auton. Syst., 2021

A review of deep learning techniques for 2D and 3D human pose estimation.
Image Vis. Comput., 2021

MalBERT: Using Transformers for Cybersecurity and Malicious Software Detection.
CoRR, 2021

Advances in Convolution Neural Networks Based Crowd Counting and Density Estimation.
Big Data Cogn. Comput., 2021

Explainable COVID-19 Detection on Chest X-rays Using an End-to-End Deep Convolutional Neural Network Architecture.
Big Data Cogn. Comput., 2021

Automatic Misogyny Detection in Social Media Platforms using Attention-based Bidirectional-LSTM.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

MalBERT: Malware Detection using Bidirectional Encoder Representations from Transformers.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Forest Fires Segmentation using Deep Convolutional Neural Networks.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Efficient Deep Neural Network for an Automated Detection of COVID-19 using CT images.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Deep Forecasting of COVID-19: Canadian Case Study.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Deep Efficient Neural Networks for Explainable COVID-19 Detection on CXR Images.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Ocular Diseases Detection using Recent Deep Learning Techniques.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Melanoma Skin Cancer Detection Using Recent Deep Learning Models<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Automated Detection of COVID-19 Cases using Recent Deep Convolutional Neural Networks and CT images<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Deep Learning and Binary Relevance Classification of Multiple Diseases using Chest X-Ray images <sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Deep Learning for Body Parts Detection using HRNet and EfficientNet.
Proceedings of the 17th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2021

2020
Unmanned Aerial Systems for Wildland and Forest Fires: Sensing, Perception, Cooperation and Assistance.
CoRR, 2020

Violence Detection in Videos using Deep Recurrent and Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2D Bidirectional Gated Recurrent Unit Convolutional Neural Networks for End-to-End Violence Detection in Videos.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

Combining Asynchronous Events and Traditional Frames for Steering Angle Prediction.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

Deep Retinal Diseases Detection and Explainability Using OCT Images.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

Deep Learning for Partial Fingerprint Inpainting and Recognition.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

Evaluating Deep Learning Algorithms in Pulmonary Nodule Detection<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Predicting Cancer Types From miRNA Stem-loops Using Deep Learning.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Explainable Diabetic Retinopathy using EfficientNET<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Conditional Probabilistic Relative Visual Localization for Unmanned Aerial Vehicles.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

Explainable Deep Learning for Referable Diabetic Retinopathy.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

2018
Deep Learning for Marine Resources Classification in Non-Structured Scenarios: Training vs. Transfer Learning.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

Diabetic Retinopathy Detection Using Machine Learning and Texture Features.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

CrowdSLAM: Toward Large-Scale 3D Structure from Crowd-Captured Images.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

2017
Multimodal three-dimensional vision for wildland fires detection and analysis.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017

2016
Automatic fire pixel detection using image processing: a comparative analysis of rule-based and machine learning-based methods.
Signal Image Video Process., 2016

2015
Benchmarking of wildland fire colour segmentation algorithms.
IET Image Process., 2015

2014
3D vision system for intelligent milking robot automation.
Proceedings of the Intelligent Robots and Computer Vision XXXI: Algorithms and Techniques, 2014

Outdoor Ice Accretion Estimation of Wind Turbine Blades Using Computer Vision.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014

2013
Estimation of spreading fire geometrical characteristics using near infrared stereovision.
Proceedings of the Three-Dimensional Image Processing (3DIP) and Applications 2013, 2013

2012
Image processing and vision for the study and the modeling of spreading fires.
Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012

2011
GPGPU real-time texture analysis framework.
Proceedings of the Conference on Parallel Processing for Imaging Applications 2011, 2011

Estimation of fire volume by stereovision.
Proceedings of the Image Processing: Machine Vision Applications IV, 2011

2010
Locally adaptive texture features for multispectral face recognition.
Proceedings of the IEEE International Conference on Systems, 2010

A new framework for face recognition in and beyond the visible spectrum.
Proceedings of the IEEE International Conference on Systems, 2010

Measurement of laboratory fire spread experiments by stereovision.
Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010

Stereovision based algorithm for measuring fire spreading characteristics.
Proceedings of the 2nd European Workshop on Visual Information Processing, 2010

Multispectral Face Recognition in Texture Space.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2010

2009
Three-dimensional tracking for efficient fire fighting in complex situations.
Proceedings of the Visual Information Processing XVIII, 2009

Multispectral face recognition using non linear dimensionality reduction.
Proceedings of the Visual Information Processing XVIII, 2009

2008
A New Color-Texture Approach for Industrial Products Inspection.
J. Multim., 2008

Hand and Wrist Physiological Features Extraction for near Infrared Biometrics.
Proceedings of the Fifth Canadian Conference on Computer and Robot Vision, 2008

Thermal Faceprint: A New Thermal Face Signature Extraction for Infrared Face Recognition.
Proceedings of the Fifth Canadian Conference on Computer and Robot Vision, 2008

Dynamic Fire 3D Modeling Using a Real-Time Stereovision System.
Proceedings of the Technological Developments in Education and Automation, 2008

2007
Framework for color-texture classification in machine vision inspection of industrial products.
Proceedings of the IEEE International Conference on Systems, 2007

1999
Geometrically Valid View Rendering from Sparse Correspondence.
Proceedings of the Signal and Image Processing (SIP), 1999

Virtual View Synthesis from Uncalibrated Stereo Cameras.
Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1999


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