Malika Bendechache

According to our database, Malika Bendechache authored at least 39 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, January, 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

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., September, 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., September, 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

AudRandAug: Random Image Augmentations for Audio Classification.

Teerath Kumar, Muhammad Turab, Alessandra Mileo, Malika Bendechache, Takfarinas Saber

CoRR, 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

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

A Systematic Survey of Data Value: Models, Metrics, Applications and Research Challenges.

Malika Bendechache, Judie Attard, Malick Ebiele, Rob Brennan

IEEE Access, 2023

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

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.

Sidra Aleem, Teerath Kumar, Suzanne Little, Malika Bendechache, Rob Brennan, Kevin McGuinness

CoRR, 2022

Investigating Multi-Feature Selection and Ensembling for Audio Classification.

Muhammad Turab, Teerath Kumar, Malika Bendechache, Takfarinas Saber

CoRR, 2022

Information Hiding in Digital Textual Contents: Techniques and Current Challenges.

Milad Taleby Ahvanooey, Mark Xuefang Zhu, Wojciech Mazurczyk, Malika Bendechache

Computer, 2022

Multi-label Classification using BERT and Knowledge Graphs with a Limited Training Dataset.

Malick Ebiele, Lucy McKenna, Malika Bendechache, Rob Brennan

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.

Ramona Trestian, Edoardo Celeste, Guodong Xie, Pintu Lohar, Malika Bendechache, Rob Brennan, Irina Tal

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.

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

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

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

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

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

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

Proceedings of the WebSci '21: 13th ACM Web Science Conference 2021, 2021

Can Solana's high throughput be an enabler for IoT?

Fintan Duffy, Malika Bendechache, Irina Tal

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.

Takfarinas Saber, Malika Bendechache, Anthony Ventresque

Proceedings of the Optimization and Learning - 4th International Conference, 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

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.

Soumi Mitra, Nandhini Reddy Aileni, Irina Tal, Malika Bendechache

Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, 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

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.

Pintu Lohar, Guodong Xie, Malika Bendechache, Rob Brennan, Edoardo Celeste, Ramona Trestian, Irina Tal

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.

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

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 an Automatic Data Value Analysis Method for Relational Databases.

Malika Bendechache, Nihar Sudhanshu Limaye, Rob Brennan

Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020

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

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

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

Proceedings of the 9th Latin-American Symposium on Dependable Computing, 2019

Modelling and Simulation of ElasticSearch using CloudSim.

Malika Bendechache, Sergej Svorobej, Patricia Takako Endo, Manuel Noya Marino, M. Eduardo Ares, James Byrne, Theo Lynn

Proceedings of the 23rd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications DS-RT 2019, 2019

2017

Distributed Spatial Data Clustering as a New Approach for Big Data Analysis.

Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi

CoRR, 2017

Performance Evaluation of a Distributed Clustering Approach for Spatial Datasets.

Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi

Proceedings of the Data Mining, 2017

2016

Hierarchical Aggregation Approach for Distributed Clustering of Spatial Datasets.

Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Efficient Large Scale Clustering Based on Data Partitioning.

Malika Bendechache, M. Tahar Kechadi, Nhien-An Le-Khac

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015

Distributed clustering algorithm for spatial data mining.

Malika Bendechache, M. Tahar Kechadi

Proceedings of the 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2015