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ORCIDMalika Bendechache
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2020 – today
- 2024
[j20]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: 107723 (2024)- [j19]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): 1979-1991 (2024) - [j18]Takfarinas Saber, Dominik Naeher, Malika Bendechache:
Intelligent computational methods for economics. Expert Syst. J. Knowl. Eng. 41(2) (2024) - [j17]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): 1161-1173 (2024) - [c20]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: 114:1-114:10 - [c19]Ramin Ranjbarzadeh, Ayse Keles, Martin Crane, Shokofeh Anari, Malika Bendechache:
Secure and Decentralized Collaboration in Oncology: A Blockchain Approach to Tumor Segmentation. COMPSAC 2024: 1681-1686 - [c18]Teerath Kumar, Alessandra Mileo, Malika Bendechache:
KeepOriginalAugment: Single Image-Based Better Information-Preserving Data Augmentation Approach. AIAI (4) 2024: 27-40 - [i11]Teerath Kumar, Alessandra Mileo, Malika Bendechache:
KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation Approach. CoRR abs/2405.06354 (2024) - [i10]Malick Ebiele, Malika Bendechache, Eamonn Clinton, Rob Brennan:
Personalization of Dataset Retrieval Results using a Metadata-based Data Valuation Method. CoRR abs/2407.15546 (2024) - [i9]Louise McCormack, Malika Bendechache:
Ethical AI Governance: Methods for Evaluating Trustworthy AI. CoRR abs/2409.07473 (2024) - [i8]Kislay Raj, Teerath Kumar, Alessandra Mileo, Malika Bendechache:
OxML Challenge 2023: Carcinoma classification using data augmentation. CoRR abs/2409.10544 (2024) - 2023
- [j16]Malika Bendechache, Judie Attard, Malick Ebiele, Rob Brennan:
A Systematic Survey of Data Value: Models, Metrics, Applications and Research Challenges. IEEE Access 11: 104966-104983 (2023) - [j15]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): 10099-10136 (2023) - [j14]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): 1021-1042 (2023) - [j13]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: 106405 (2023) - [j12]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: 106443 (2023) - [j11]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): 426 (2023) - [c17]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: 76:1-76:10 - [i7]Teerath Kumar, Muhammad Turab, Alessandra Mileo, Malika Bendechache, Takfarinas Saber:
AudRandAug: Random Image Augmentations for Audio Classification. CoRR abs/2309.04762 (2023) - 2022
- [j10]Milad Taleby Ahvanooey, Mark Xuefang Zhu, Wojciech Mazurczyk, Malika Bendechache:
Information Hiding in Digital Textual Contents: Techniques and Current Challenges. Computer 55(6): 56-65 (2022) - [c16]Ramona Trestian, Edoardo Celeste, Guodong Xie, Pintu Lohar, Malika Bendechache, Rob Brennan, Irina Tal:
The Privacy Paradox - Investigating People's Attitude Towards Privacy in a Time of COVID-19. COMM 2022: 1-6 - [c15]Malick Ebiele, Lucy McKenna, Malika Bendechache, Rob Brennan:
Multi-label Classification using BERT and Knowledge Graphs with a Limited Training Dataset. DL4KG@ISWC 2022 - [i6]Muhammad Turab, Teerath Kumar, Malika Bendechache, Takfarinas Saber:
Investigating Multi-Feature Selection and Ensembling for Audio Classification. CoRR abs/2206.07511 (2022) - [i5]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 abs/2210.00824 (2022) - 2021
- [j9]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: 4196241:1-4196241:21 (2021) - [j8]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: 115406 (2021) - [j7]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): 83 (2021) - [j6]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): 26-35 (2021) - [j5]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): 281-293 (2021) - [c14]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: 37:1-37:8 - [c13]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: 84:1-84:6 - [c12]Soumi Mitra, Nandhini Reddy Aileni, Irina Tal, Malika Bendechache:
Towards an Optimised Vehicle Detection Algorithm for Multi-Object Tracking in Traffic Surveillance. AICS 2021: 200-211 - [c11]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: 174-179 - [c10]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: 361-373 - [c9]Fintan Duffy, Malika Bendechache, Irina Tal:
Can Solana's high throughput be an enabler for IoT? QRS Companion 2021: 615-621 - [c8]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: 34-39 - 2020
- [j4]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): 95 (2020) - [j3]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) - [c7]Malika Bendechache, Nihar Sudhanshu Limaye, Rob Brennan:
Towards an Automatic Data Value Analysis Method for Relational Databases. ICEIS (2) 2020: 833-840
2010 – 2019
- 2019
- [j2]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): 55 (2019) - [j1]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): 671-689 (2019) - [c6]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: 1-8 - [c5]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: 1-8 - 2018
- [i4]Malika Bendechache, M. Tahar Kechadi:
Distributed Clustering Algorithm for Spatial Data Mining. CoRR abs/1802.00304 (2018) - [i3]Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi:
Hierarchical Aggregation Approach for Distributed clustering of spatial datasets. CoRR abs/1802.00688 (2018) - 2017
- [c4]Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi:
Performance Evaluation of a Distributed Clustering Approach for Spatial Datasets. AusDM 2017: 38-56 - [i2]Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi:
Efficient Large Scale Clustering based on data partitioning. CoRR abs/1704.03421 (2017) - [i1]Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi:
Distributed Spatial Data Clustering as a New Approach for Big Data Analysis. CoRR abs/1710.09593 (2017) - 2016
- [c3]Malika Bendechache, M. Tahar Kechadi, Nhien-An Le-Khac:
Efficient Large Scale Clustering Based on Data Partitioning. DSAA 2016: 612-621 - [c2]Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi:
Hierarchical Aggregation Approach for Distributed Clustering of Spatial Datasets. ICDM Workshops 2016: 1098-1103 - 2015
- [c1]Malika Bendechache, M. Tahar Kechadi:
Distributed clustering algorithm for spatial data mining. ICSDM 2015: 60-65
Coauthor Index
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last updated on 2024-10-16 20:32 CEST by the dblp team
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