Malika Bendechache

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 49

Top Topics

Future Directions

Convolutional Neural Network

Tumor Segmentation

Top Venues

Comput. Biol. Medicine

Future Internet

Publications

Ramin Ranjbarzadeh, Payam Zarbakhsh, Annalina Caputo, Erfan Babaee Tirkolaee, Malika Bendechache
Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm. Comput. Biol. Medicine 168 (2024)
Malick Ebiele, Malika Bendechache, Eamonn Clinton, Rob Brennan
Personalization of Dataset Retrieval Results using a Metadata-based Data Valuation Method. CoRR (2024)
Amirhossein Aghamohammadi, Seyed Aliasghar Beheshti Shirazi, Seyed Yashar Banihashem, Saman Shishechi, Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Malika Bendechache
A deep learning model for ergonomics risk assessment and sports and health monitoring in self-occluded images. Signal Image Video Process. 18 (2) (2024)
Teerath Kumar, Alessandra Mileo, Malika Bendechache
KeepOriginalAugment: Single Image-Based Better Information-Preserving Data Augmentation Approach. AIAI (4) (2024)
Teerath Kumar, Alessandra Mileo, Malika Bendechache
KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation Approach. CoRR (2024)
Michael Mayowa Farayola, Malika Bendechache, Takfarinas Saber, Regina Connolly, Irina Tal
Enhancing Algorithmic Fairness: Integrative Approaches and Multi-Objective Optimization Application in Recidivism Models. ARES (2024)
Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Shokofeh Anari, Sadaf Safavi, Nazanin Tataei Sarshar, Erfan Babaee Tirkolaee, Malika Bendechache
A Deep Learning Approach for Robust, Multi-oriented, and Curved Text Detection. Cogn. Comput. 16 (4) (2024)
Takfarinas Saber, Dominik Naeher, Malika Bendechache
Intelligent computational methods for economics. Expert Syst. J. Knowl. Eng. 41 (2) (2024)
Ramin Ranjbarzadeh, Shadi Dorosti, Saeid Jafarzadeh Ghoushchi, Annalina Caputo, Erfan Babaee Tirkolaee, Sadia Samar Ali, Zahra Arshadi, Malika Bendechache
Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods. Comput. Biol. Medicine 152 (2023)
Ramin Ranjbarzadeh, Annalina Caputo, Erfan Babaee Tirkolaee, Saeid Jafarzadeh Ghoushchi, Malika Bendechache
Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools. Comput. Biol. Medicine 152 (2023)
Ramin Ranjbarzadeh, Nazanin Tataei Sarshar, Saeid Jafarzadeh Ghoushchi, Mohammad Saleh Esfahani, Mahboub Parhizkar, Yaghoub Pourasad, Shokofeh Anari, Malika Bendechache
MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network. Ann. Oper. Res. 328 (1) (2023)
Teerath Kumar, Muhammad Turab, Alessandra Mileo, Malika Bendechache, Takfarinas Saber
AudRandAug: Random Image Augmentations for Audio Classification. CoRR (2023)
Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Nazanin Tataei Sarshar, Erfan Babaee Tirkolaee, Sadia Samar Ali, Teerath Kumar, Malika Bendechache
ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition. Artif. Intell. Rev. 56 (9) (2023)
Michael Mayowa Farayola, Irina Tal, Regina Connolly, Takfarinas Saber, Malika Bendechache
Ethics and Trustworthiness of AI for Predicting the Risk of Recidivism: A Systematic Literature Review. Inf. 14 (8) (2023)
Michael Mayowa Farayola, Irina Tal, Malika Bendechache, Takfarinas Saber, Regina Connolly
Fairness of AI in Predicting the Risk of Recidivism: Review and Phase Mapping of AI Fairness Techniques. ARES (2023)
Teerath Kumar, Muhammad Turab, Kislay Raj, Alessandra Mileo, Rob Brennan, Malika Bendechache
Advanced Data Augmentation Approaches: A Comprehensive Survey and Future directions. CoRR (2023)
Malika Bendechache, Judie Attard, Malick Ebiele, Rob Brennan
A Systematic Survey of Data Value: Models, Metrics, Applications and Research Challenges. IEEE Access 11 (2023)
Muhammad Turab, Teerath Kumar, Malika Bendechache, Takfarinas Saber
Investigating Multi-Feature Selection and Ensembling for Audio Classification. CoRR (2022)
Milad Taleby Ahvanooey, Mark Xuefang Zhu, Wojciech Mazurczyk, Malika Bendechache
Information Hiding in Digital Textual Contents: Techniques and Current Challenges. Computer 55 (6) (2022)
Sidra Aleem, Teerath Kumar, Suzanne Little, Malika Bendechache, Rob Brennan, Kevin McGuinness
Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets. CoRR (2022)
Malick Ebiele, Lucy McKenna, Malika Bendechache, Rob Brennan
Multi-label Classification using BERT and Knowledge Graphs with a Limited Training Dataset. DL4KG@ISWC (2022)
Ramona Trestian, Edoardo Celeste, G. Xie, Pintu Lohar, Malika Bendechache, Rob Brennan, Irina Ta
The Privacy Paradox - Investigating People's Attitude Towards Privacy in a Time of COVID-19. COMM (2022)
Malika Bendechache, Sergej Svorobej, Patricia Takako Endo, Adrian Mihai, Theo Lynn
Simulating and Evaluating a Real-World ElasticSearch System Using the RECAP DES Simulator. Future Internet 13 (4) (2021)
Soroush Baseri Saadi, Ramin Ranjbarzadeh, Ozeir kazemi, Amir Amirabadi, Saeid Jafarzadeh Ghoushchi, Oveis Kazemi, Sonya Azadikhah, Malika Bendechache
Osteolysis: A Literature Review of Basic Science and Potential Computer-Based Image Processing Detection Methods. Comput. Intell. Neurosci. 2021 (2021)
Ramona Trestian, Guodong Xie, Pintu Lohar, Edoardo Celeste, Malika Bendechache, Rob Brennan, Evgeniia Jayasekera, Regina Connolly, Irina Tal
Privacy in a Time of COVID-19: How Concerned Are You? IEEE Secur. Priv. 19 (5) (2021)
Malika Bendechache, Pintu Lohar, Guodong Xie, Rob Brennan, Ramona Trestian, Edoardo Celeste, Kristina Kapanova, Evgeniia Jayasekera, Irina Tal
Public attitudes towards privacy in COVID-19 times in the Republic of Ireland: A pilot study. Inf. Secur. J. A Glob. Perspect. 30 (5) (2021)
Soumi Mitra, Nandhini Reddy Aileni, Irina Tal, Malika Bendechache
Towards an Optimised Vehicle Detection Algorithm for Multi-Object Tracking in Traffic Surveillance. AICS (2021)
Amirhossein Aghamohammadi, Ramin Ranjbarzadeh, Fatemeh Naiemi, Marzieh Mogharrebi, Shadi Dorosti, Malika Bendechache
TPCNN: Two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach. Expert Syst. Appl. 183 (2021)
Takfarinas Saber, Malika Bendechache, Anthony Ventresque
Incorporating User Preferences in Multi-objective Feature Selection in Software Product Lines Using Multi-Criteria Decision Analysis. OLA (2021)
Guodong Xie, Pintu Lohar, Claudia Florea, Malika Bendechache, Ramona Trestian, Rob Brennan, Regina Connolly, Irina Tal
Privacy in Times of COVID-19: A Pilot Study in the Republic of Ireland. ARES (2021)
Malika Bendechache, Irina Tal, Pj Wall, Laura Grehan, Emma Clarke, Aidan Odriscoll, Laurence Van Der Haegen, Brenda Leong, Anne Kearns, Rob Brennan
AI in My Life: AI, Ethics & Privacy Workshops for 15-16-Year-Olds. WebSci (Companion) (2021)
Ramona Trestian, Guodong Xie, Pintu Lohar, Edoardo Celeste, Malika Bendechache, Rob Brennan, Irina Tal
PRIVATT - A Closer Look at People's Data Privacy Attitudes in Times of COVID-19. MeditCom (2021)
Pintu Lohar, Guodong Xie, Malika Bendechache, Rob Brennan, Edoardo Celeste, Ramona Trestian, Irina Tal
Irish Attitudes Toward COVID Tracker App & Privacy: Sentiment Analysis on Twitter and Survey Data. ARES (2021)
Fintan Duffy, Malika Bendechache, Irina Tal
Can Solana's high throughput be an enabler for IoT? QRS Companion (2021)
Malika Bendechache, Sergej Svorobej, Patricia Takako Endo, Theo Lynn
Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions. Future Internet 12 (6) (2020)
Malika Bendechache, Nihar Sudhanshu Limaye, Rob Brennan
Towards an Automatic Data Value Analysis Method for Relational Databases. ICEIS (2) (2020)
Christos K. Filelis-Papadopoulos, Patricia Takako Endo, Malika Bendechache, Sergej Svorobej, Konstantinos M. Giannoutakis, George A. Gravvanis, Dimitrios Tzovaras, James Byrne, Theo Lynn
Towards simulation and optimization of cache placement on large virtual content distribution networks. J. Comput. Sci. 39 (2020)
Malika Bendechache, Sergej Svorobej, Patricia Takako Endo, Manuel Noya Marino, M. Eduardo Ares, James Byrne, Theo Lynn
Modelling and Simulation of ElasticSearch using CloudSim. DS-RT (2019)
Malika Bendechache, Kamel Tari, M. Tahar Kechadi
Parallel and distributed clustering framework for big spatial data mining. Int. J. Parallel Emergent Distributed Syst. 34 (6) (2019)
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
Analysing Dependability and Performance of a Real-World Elastic Search Application. LADC (2019)
Sergej Svorobej, Patricia Takako Endo, Malika Bendechache, Christos K. Filelis-Papadopoulos, Konstantinos M. Giannoutakis, George A. Gravvanis, Dimitrios Tzovaras, James Byrne, Theo Lynn
Simulating Fog and Edge Computing Scenarios: An Overview and Research Challenges. Future Internet 11 (3) (2019)
Malika Bendechache, M. Tahar Kechadi
Distributed Clustering Algorithm for Spatial Data Mining. CoRR (2018)
Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi
Hierarchical Aggregation Approach for Distributed clustering of spatial datasets. CoRR (2018)
Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi
Performance Evaluation of a Distributed Clustering Approach for Spatial Datasets. AusDM (2017)
Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi
Distributed Spatial Data Clustering as a New Approach for Big Data Analysis. CoRR (2017)
Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi
Efficient Large Scale Clustering based on data partitioning. CoRR (2017)
Malika Bendechache, M. Tahar Kechadi, Nhien-An Le-Khac
Efficient Large Scale Clustering Based on Data Partitioning. DSAA (2016)
Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi
Hierarchical Aggregation Approach for Distributed Clustering of Spatial Datasets. ICDM Workshops (2016)
Malika Bendechache, M. Tahar Kechadi
Distributed clustering algorithm for spatial data mining. ICSDM (2015)