Distributed clustering algorithm for spatial data mining. - Malika Bendechache; M. Tahar Kechadi (ICSDM, 2015)

Efficient Large Scale Clustering Based on Data Partitioning. - Malika Bendechache; M. Tahar Kechadi; Nhien-An Le-Khac (DSAA, 2016)

Hierarchical Aggregation Approach for Distributed Clustering of Spatial Datasets. - Malika Bendechache; Nhien-An Le-Khac; M. Tahar Kechadi (ICDM Workshops, 2016)

Performance Evaluation of a Distributed Clustering Approach for Spatial Datasets. - Malika Bendechache; Nhien-An Le-Khac; M. Tahar Kechadi (AusDM, 2017)

Distributed Spatial Data Clustering as a New Approach for Big Data Analysis. - Malika Bendechache; Nhien-An Le-Khac; M. Tahar Kechadi (CoRR, 2017)

Modelling and Simulation of ElasticSearch using CloudSim. - Malika Bendechache; Sergej Svorobej; Patricia Takako Endo; Manuel Noya Marino; M. Eduardo Ares; James Byrne; Theo Lynn (DS-RT, 2019)

Analysing Dependability and Performance of a Real-World Elastic Search Application. - Malika Bendechache; Theo Lynn; Ivanovitch Silva; Guto Leoni Santos; Luiz Affonso Guedes; Sergej Svorobej; Manuel Noya Mario; M. Eduardo Ares; James Byrne; Patricia Takako Endo (LADC, 2019)

Simulating Fog and Edge Computing Scenarios: An Overview and Research Challenges. - Sergej Svorobej; Patricia Takako Endo; Malika Bendechache; Christos K. Filelis-Papadopoulos; Konstantinos M. Giannoutakis; George A. Gravvanis; Dimitrios Tzovaras; James Byrne; Theo Lynn (Future Internet, 2019)

Parallel and distributed clustering framework for big spatial data mining. - Malika Bendechache; Kamel Tari; M. Tahar Kechadi (Int. J. Parallel Emergent Distributed Syst., 2019)

Towards an Automatic Data Value Analysis Method for Relational Databases. - Malika Bendechache; Nihar Sudhanshu Limaye; Rob Brennan (ICEIS (2), 2020)

Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions. - Malika Bendechache; Sergej Svorobej; Patricia Takako Endo; Theo Lynn (Future Internet, 2020)

Towards simulation and optimization of cache placement on large virtual content distribution networks. - Christos K. Filelis-Papadopoulos; Patricia Takako Endo; Malika Bendechache; Sergej Svorobej; Konstantinos M. Giannoutakis; George A. Gravvanis; Dimitrios Tzovaras; James Byrne; Theo Lynn (J. Comput. Sci., 2020)

Irish Attitudes Toward COVID Tracker App & Privacy: Sentiment Analysis on Twitter and Survey Data. - Pintu Lohar; Guodong Xie; Malika Bendechache; Rob Brennan; Edoardo Celeste; Ramona Trestian; Irina Tal (ARES, 2021)

Privacy in Times of COVID-19: A Pilot Study in the Republic of Ireland. - Guodong Xie; Pintu Lohar; Claudia Florea; Malika Bendechache; Ramona Trestian; Rob Brennan; Regina Connolly; Irina Tal (ARES, 2021)

Towards an Optimised Vehicle Detection Algorithm for Multi-Object Tracking in Traffic Surveillance. - Soumi Mitra; Nandhini Reddy Aileni; Irina Tal; Malika Bendechache (AICS, 2021)

PRIVATT - A Closer Look at People's Data Privacy Attitudes in Times of COVID-19. - Ramona Trestian; Guodong Xie; Pintu Lohar; Edoardo Celeste; Malika Bendechache; Rob Brennan; Irina Tal (MeditCom, 2021)

Incorporating User Preferences in Multi-objective Feature Selection in Software Product Lines Using Multi-Criteria Decision Analysis. - Takfarinas Saber; Malika Bendechache; Anthony Ventresque (OLA, 2021)

Can Solana's high throughput be an enabler for IoT? - Fintan Duffy; Malika Bendechache; Irina Tal (QRS Companion, 2021)

AI in My Life: AI, Ethics & Privacy Workshops for 15-16-Year-Olds. - Malika Bendechache; Irina Tal; PJ Wall; Laura Grehan; Emma Clarke; Aidan Odriscoll; Laurence Van Der Haegen; Brenda Leong; Anne Kearns; Rob Brennan (WebSci (Companion), 2021)

Osteolysis: A Literature Review of Basic Science and Potential Computer-Based Image Processing Detection Methods. - Soroush Baseri Saadi; Ramin Ranjbarzadeh; Ozeir kazemi; Amir Amirabadi; Saeid Jafarzadeh Ghoushchi; Oveis Kazemi; Sonya Azadikhah; Malika Bendechache (Comput. Intell. Neurosci., 2021)

TPCNN: Two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach. - Amirhossein Aghamohammadi; Ramin Ranjbarzadeh; Fatemeh Naiemi; Marzieh Mogharrebi; Shadi Dorosti; Malika Bendechache (Expert Syst. Appl., 2021)

Simulating and Evaluating a Real-World ElasticSearch System Using the RECAP DES Simulator. - Malika Bendechache; Sergej Svorobej; Patricia Takako Endo; Adrian Mihai; Theo Lynn (Future Internet, 2021)

Privacy in a Time of COVID-19: How Concerned Are You? - Ramona Trestian; Guodong Xie; Pintu Lohar; Edoardo Celeste; Malika Bendechache; Rob Brennan; Evgeniia Jayasekera; Regina Connolly; Irina Tal (IEEE Secur. Priv., 2021)

Public attitudes towards privacy in COVID-19 times in the Republic of Ireland: A pilot study. - Malika Bendechache; Pintu Lohar; Guodong Xie; Rob Brennan; Ramona Trestian; Edoardo Celeste; Kristina Kapanova; Evgeniia Jayasekera; Irina Tal (Inf. Secur. J. A Glob. Perspect., 2021)

The Privacy Paradox - Investigating People's Attitude Towards Privacy in a Time of COVID-19. - Ramona Trestian; Edoardo Celeste; Guodong Xie; Pintu Lohar; Malika Bendechache; Rob Brennan; Irina Tal (COMM, 2022)

Multi-label Classification using BERT and Knowledge Graphs with a Limited Training Dataset. - Malick Ebiele; Lucy McKenna; Malika Bendechache; Rob Brennan (DL4KG@ISWC, 2022)

Information Hiding in Digital Textual Contents: Techniques and Current Challenges. - Milad Taleby Ahvanooey; Mark Xuefang Zhu; Wojciech Mazurczyk; Malika Bendechache (Computer, 2022)

Investigating Multi-Feature Selection and Ensembling for Audio Classification. - Muhammad Turab; Teerath Kumar; Malika Bendechache; Takfarinas Saber (CoRR, 2022)

Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets. - Sidra Aleem; Teerath Kumar; Suzanne Little; Malika Bendechache; Rob Brennan; Kevin McGuinness (CoRR, 2022)

Fairness of AI in Predicting the Risk of Recidivism: Review and Phase Mapping of AI Fairness Techniques. - Michael Mayowa Farayola; Irina Tal; Malika Bendechache; Takfarinas Saber; Regina Connolly (ARES, 2023)

A Systematic Survey of Data Value: Models, Metrics, Applications and Research Challenges. - Malika Bendechache; Judie Attard; Malick Ebiele; Rob Brennan (IEEE Access, 2023)

Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools. - Ramin Ranjbarzadeh; Annalina Caputo; Erfan Babaee Tirkolaee; Saeid Jafarzadeh Ghoushchi; Malika Bendechache (Comput. Biol. Medicine, 2023)

Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods. - Ramin Ranjbarzadeh; Shadi Dorosti; Saeid Jafarzadeh Ghoushchi; Annalina Caputo; Erfan Babaee Tirkolaee; Sadia Samar Ali; Zahra Arshadi; Malika Bendechache (Comput. Biol. Medicine, 2023)

AudRandAug: Random Image Augmentations for Audio Classification. - Teerath Kumar; Muhammad Turab; Alessandra Mileo; Malika Bendechache; Takfarinas Saber (CoRR, 2023)

Ethics and Trustworthiness of AI for Predicting the Risk of Recidivism: A Systematic Literature Review. - Michael Mayowa Farayola; Irina Tal; Regina Connolly; Takfarinas Saber; Malika Bendechache (Inf., 2023)

ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition. - Ramin Ranjbarzadeh; Saeid Jafarzadeh Ghoushchi; Nazanin Tataei Sarshar; Erfan Babaee Tirkolaee; Sadia Samar Ali; Teerath Kumar; Malika Bendechache (Artif. Intell. Rev., 2023)

MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network. - Ramin Ranjbarzadeh; Nazanin Tataei Sarshar; Saeid Jafarzadeh Ghoushchi; Mohammad Saleh Esfahani; Mahboub Parhizkar; Yaghoub Pourasad; Shokofeh Anari; Malika Bendechache (Ann. Oper. Res., 2023)

Enhancing Algorithmic Fairness: Integrative Approaches and Multi-Objective Optimization Application in Recidivism Models. - Michael Mayowa Farayola; Malika Bendechache; Takfarinas Saber; Regina Connolly; Irina Tal (ARES, 2024)

Ethical AI Governance: Methods for Evaluating Trustworthiness. - Louise McCormack; Malika Bendechache (AIEB@ECAI, 2024)

Debiasing Computer Vision Models using Data Augmentation based Adversarial Techniques. - Teerath Kumar; Abhishek Mandal; Susan Leavy; Suzanne Little; Alessandra Mileo; Malika Bendechache (BEWARE@AI*IA, 2024)

Secure and Decentralized Collaboration in Oncology: A Blockchain Approach to Tumor Segmentation. - Ramin Ranjbarzadeh; Ayse Keles; Martin Crane; Shokofeh Anari; Malika Bendechache (COMPSAC, 2024)

Combining DeepLabV3 with Attention Mechanisms for Accurate Brain Tumor Segmentation: Insights from BraTS 2020 and a Private Clinical Dataset. - Ramin Ranjbarzadeh; Ayse Keles; Pinar Akdemir Ozisik; Harun Demirci; Halil Kul; Martin Crane; Shokofeh Anari; Malika Bendechache (EUVIP, 2024)

Towards Explainable Deep Learning in Oncology: Integrating EfficientNet-B7 with XAI techniques for Acute Lymphoblastic Leukaemia. - Dost Muhammad; Ayse Keles; Malika Bendechache (EXPLIMED@ECAI, 2024)

Personalization of Dataset Retrieval Results Using a Data Valuation Method. - Malick Ebiele; Malika Bendechache; Eamonn Clinton; Rob Brennan (KDIR, 2024)

KeepOriginalAugment: Single Image-Based Better Information-Preserving Data Augmentation Approach. - Teerath Kumar; Alessandra Mileo; Malika Bendechache (AIAI (4), 2024)

A Hybrid UNet and Vision Transformer Architecture with Multi-scale Fusion for Brain Tumor Segmentation. - Ramin Ranjbarzadeh; Shokofeh Anari; Martin Crane; Malika Bendechache (MICAD, 2024)

Image Data Augmentation Approaches: A Comprehensive Survey and Future Directions. - Teerath Kumar; Rob Brennan; Alessandra Mileo; Malika Bendechache (IEEE Access, 2024)

Personalization of Dataset Retrieval Results using a Metadata-based Data Valuation Method. - Malick Ebiele; Malika Bendechache; Eamonn Clinton; Rob Brennan (CoRR, 2024)

Ethical AI Governance: Methods for Evaluating Trustworthy AI. - Louise McCormack; Malika Bendechache (CoRR, 2024)

OxML Challenge 2023: Carcinoma classification using data augmentation. - Kislay Raj; Teerath Kumar; Alessandra Mileo; Malika Bendechache (CoRR, 2024)

Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity. - Teerath Kumar; Alessandra Mileo; Malika Bendechache (CoRR, 2024)

A deep learning model for ergonomics risk assessment and sports and health monitoring in self-occluded images. - Amirhossein Aghamohammadi; Seyed Aliasghar Beheshti Shirazi; Seyed Yashar Banihashem; Saman Shishechi; Ramin Ranjbarzadeh; Saeid Jafarzadeh Ghoushchi; Malika Bendechache (Signal Image Video Process., 2024)

Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm. - Ramin Ranjbarzadeh; Payam Zarbakhsh; Annalina Caputo; Erfan Babaee Tirkolaee; Malika Bendechache (Comput. Biol. Medicine, 2024)

Intelligent computational methods for economics. - Takfarinas Saber; Dominik Naeher; Malika Bendechache (Expert Syst. J. Knowl. Eng., 2024)

A Deep Learning Approach for Robust, Multi-oriented, and Curved Text Detection. - Ramin Ranjbarzadeh; Saeid Jafarzadeh Ghoushchi; Shokofeh Anari; Sadaf Safavi; Nazanin Tataei Sarshar; Erfan Babaee Tirkolaee; Malika Bendechache (Cogn. Comput., 2024)

Can AI Be Faster, Accurate, and Explainable? SpikeNet Makes it Happen. - Dost Muhammad; Malika Bendechache (MIUA (2), 2025)

RandSaliencyAug: Balancing Saliency-Based Data Augmentation for Enhanced Generalization. - Teerath Kumar; Alessandra Mileo; Malika Bendechache (VISIGRAPP (3): VISAPP, 2025)

Natural Language Processing and Machine Learning for Analysis of Radiology Reports: A Systematic Review. - Umay Kulsoom; Frank G. Glavin; Malika Bendechache (IEEE Access, 2025)

Advances in disease detection through retinal imaging: A systematic review. - Hazrat Bilal; Ayse Keles; Malika Bendechache (Comput. Biol. Medicine, 2025)

Facesaliencyaug: mitigating geographic, gender and stereotypical biases via saliency-based data augmentation. - Teerath Kumar; Alessandra Mileo; Malika Bendechache (Signal Image Video Process., 2025)

Saliency-based metric and FaceKeepOriginalAugment: a novel approach for enhancing fairness and Diversity. - Teerath Kumar; Alessandra Mileo; Malika Bendechache (Multim. Syst., 2025)

A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis. - Muhammad Zubair; Muzammil Hussai; Mousa Ahmed Albashrawi; Malika Bendechache; Muhammad Owais (CoRR, 2025)

A comprehensive survey and classification of evaluation criteria for trustworthy artificial intelligence. - Louise McCormack; Malika Bendechache (AI Ethics, 2025)

Quantitative Data Valuation Methods: A Systematic Review and Taxonomy. - Malick Ebiele; Malika Bendechache; Rob Brennan (ACM J. Data Inf. Qual., 2025)