Malika Bendechache
Orcid: 0000-0003-0069-1860
According to our database1,
Malika Bendechache
authored at least 64 papers
between 2015 and 2025.
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Bibliography
2025
ACM J. Data Inf. Qual., June, 2025
A comprehensive survey and classification of evaluation criteria for trustworthy artificial intelligence.
AI Ethics, June, 2025
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis.
CoRR, May, 2025
Saliency-based metric and FaceKeepOriginalAugment: a novel approach for enhancing fairness and Diversity.
Multim. Syst., April, 2025
Facesaliencyaug: mitigating geographic, gender and stereotypical biases via saliency-based data augmentation.
Signal Image Video Process., January, 2025
Comput. Biol. Medicine, 2025
Natural Language Processing and Machine Learning for Analysis of Radiology Reports: A Systematic Review.
IEEE Access, 2025
RandSaliencyAug: Balancing Saliency-Based Data Augmentation for Enhanced Generalization.
Proceedings of the 20th International Joint Conference on Computer Vision, 2025
Proceedings of the Medical Image Understanding and Analysis - 29th Annual Conference, 2025
2024
Cogn. Comput., July, 2024
Expert Syst. J. Knowl. Eng., February, 2024
Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm.
Comput. Biol. Medicine, January, 2024
A deep learning model for ergonomics risk assessment and sports and health monitoring in self-occluded images.
Signal Image Video Process., 2024
Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity.
CoRR, 2024
Personalization of Dataset Retrieval Results using a Metadata-based Data Valuation Method.
CoRR, 2024
IEEE Access, 2024
A Hybrid UNet and Vision Transformer Architecture with Multi-scale Fusion for Brain Tumor Segmentation.
Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2024
KeepOriginalAugment: Single Image-Based Better Information-Preserving Data Augmentation Approach.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024
Proceedings of the 16th International Joint Conference on Knowledge Discovery, 2024
Towards Explainable Deep Learning in Oncology: Integrating EfficientNet-B7 with XAI techniques for Acute Lymphoblastic Leukaemia.
Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024
Combining DeepLabV3 with Attention Mechanisms for Accurate Brain Tumor Segmentation: Insights from BraTS 2020 and a Private Clinical Dataset.
Proceedings of the 12th European Workshop on Visual Information Processing, 2024
Secure and Decentralized Collaboration in Oncology: A Blockchain Approach to Tumor Segmentation.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024
Debiasing Computer Vision Models using Data Augmentation based Adversarial Techniques.
Proceedings of the 3rd Workshop on Bias, 2024
Proceedings of the First Workshop on Implementing AI Ethics through a Behavioural Lens (AIEB 2024) co-located with 26th European Conference on Artificial Intelligence (ECAI 2024), 2024
Enhancing Algorithmic Fairness: Integrative Approaches and Multi-Objective Optimization Application in Recidivism Models.
Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024
2023
MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network.
Ann. Oper. Res., September, 2023
ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition.
Artif. Intell. Rev., September, 2023
Ethics and Trustworthiness of AI for Predicting the Risk of Recidivism: A Systematic Literature Review.
Inf., 2023
Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods.
Comput. Biol. Medicine, 2023
Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools.
Comput. Biol. Medicine, 2023
A Systematic Survey of Data Value: Models, Metrics, Applications and Research Challenges.
IEEE Access, 2023
Fairness of AI in Predicting the Risk of Recidivism: Review and Phase Mapping of AI Fairness Techniques.
Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023
2022
Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets.
CoRR, 2022
CoRR, 2022
Computer, 2022
Multi-label Classification using BERT and Knowledge Graphs with a Limited Training Dataset.
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022), 2022
The Privacy Paradox - Investigating People's Attitude Towards Privacy in a Time of COVID-19.
Proceedings of the 14th International Conference on Communications, 2022
2021
Public attitudes towards privacy in COVID-19 times in the Republic of Ireland: A pilot study.
Inf. Secur. J. A Glob. Perspect., 2021
Simulating and Evaluating a Real-World ElasticSearch System Using the RECAP DES Simulator.
Future Internet, 2021
TPCNN: Two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach.
Expert Syst. Appl., 2021
Osteolysis: A Literature Review of Basic Science and Potential Computer-Based Image Processing Detection Methods.
Comput. Intell. Neurosci., 2021
Proceedings of the WebSci '21: 13th ACM Web Science Conference 2021, 2021
Proceedings of the 21st IEEE International Conference on Software Quality, 2021
Incorporating User Preferences in Multi-objective Feature Selection in Software Product Lines Using Multi-Criteria Decision Analysis.
Proceedings of the Optimization and Learning - 4th International Conference, 2021
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2021
Towards an Optimised Vehicle Detection Algorithm for Multi-Object Tracking in Traffic Surveillance.
Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, 2021
Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021
Irish Attitudes Toward COVID Tracker App & Privacy: Sentiment Analysis on Twitter and Survey Data.
Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021
2020
Towards simulation and optimization of cache placement on large virtual content distribution networks.
J. Comput. Sci., 2020
Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions.
Future Internet, 2020
Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020
2019
Int. J. Parallel Emergent Distributed Syst., 2019
Future Internet, 2019
Proceedings of the 9th Latin-American Symposium on Dependable Computing, 2019
Proceedings of the 23rd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications DS-RT 2019, 2019
2017
CoRR, 2017
Proceedings of the Data Mining, 2017
2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
2015
Proceedings of the 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2015