Ali Anaissi
Orcid: 0000-0002-8864-0314
According to our database1,
Ali Anaissi
authored at least 71 papers
between 2010 and 2024.
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Bibliography
2024
Digital Twin-Driven Trust Management in Open RAN-Based Spatial Crowdsourcing Drone Services.
IEEE Trans. Green Commun. Netw., September, 2024
A fast parallel tensor decomposition with optimal stochastic gradient descent: an application in structural damage identification.
Int. J. Data Sci. Anal., May, 2024
IEEE Trans. Consumer Electron., February, 2024
Comput. Intell., February, 2024
Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration.
CoRR, 2024
A Blockchain-Enhanced Framework for Privacy and Data Integrity in Crowdsourced Drone Services.
CoRR, 2024
Privacy-First Crowdsourcing: Blockchain and Local Differential Privacy in Crowdsourced Drone Services.
CoRR, 2024
Optimisation of federated learning settings under statistical heterogeneity variations.
CoRR, 2024
A Novel Dual-Pipeline based Attention Mechanism for Multimodal Social Sentiment Analysis.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Ensemble Pretrained Models for Multimodal Sentiment Analysis using Textual and Video Data Fusion.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
DDRM: Distributed Drone Reputation Management for Trust and Reliability in Crowdsourced Drone Services.
Proceedings of the IEEE International Conference on Web Services, 2024
Decentralized PKI Framework for Data Integrity in Spatial Crowdsourcing Drone Services.
Proceedings of the IEEE International Conference on Web Services, 2024
Proceedings of the Computational Science - ICCS 2024, 2024
Proceedings of the Second International Conference on Advances in Computing Research, 2024
Proceedings of the Second International Conference on Advances in Computing Research, 2024
Proceedings of the Second International Conference on Advances in Computing Research, 2024
2023
Privacy-Preserving Personalized Fitness Recommender System <i>P<sup>3</sup>FitRec</i>: A Multi-level Deep Learning Approach.
ACM Trans. Knowl. Discov. Data, July, 2023
Multi-objective variational autoencoder: an application for smart infrastructure maintenance.
Appl. Intell., May, 2023
Fotomics: fourier transform-based omics imagification for deep learning-based cell-identity mapping using single-cell omics profiles.
Artif. Intell. Rev., 2023
Proceedings of the Service-Oriented Computing - ICSOC 2023 Workshops - AI-PA, ASOCA, SAPD, SQS, SSCOPE, WESOACS and Satellite Events, Rome, Italy, November 28, 2023
Heterogeneous Transfer Learning in Structural Health Monitoring for High Rise Structures.
Proceedings of the Second International Conference on Innovations in Computing Research (ICR'23), 2023
Proceedings of the Computational Science - ICCS 2023, 2023
Proceedings of the Data Science and Machine Learning, 2023
Proceedings of the 2023 International Conference on Advances in Computing Research, 2023
Proceedings of the 2023 International Conference on Advances in Computing Research, 2023
2022
Accelerated Control Using Stochastic Dual Simplex Algorithm and Genetic Filter for Drone Application.
IEEE Trans. Aerosp. Electron. Syst., 2022
Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A Multi-level Deep Learning Approach.
CoRR, 2022
Proceedings of the ICR'22 International Conference on Innovations in Computing Research, 2022
A Comparative Analysis of Loss Functions for Handling Foreground-Background Imbalance in Image Segmentation.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
VGG-FusionNet: A Feature Fusion Framework from CT scan and Chest X-ray Images based Deep Learning for COVID-19 Detection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Multi-contextual Recommender Using 3D Latent Factor Models and Online Tensor Decomposition.
Proceedings of the Computational Science - ICCS 2022, 2022
A Personalized Federated Learning Algorithm for One-Class Support Vector Machine: An Application in Anomaly Detection.
Proceedings of the Computational Science - ICCS 2022, 2022
Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
2021
ACM Trans. Knowl. Discov. Data, 2021
Multi-user Remote Lab: Timetable Scheduling Using Simplex Nondominated Sorting Genetic Algorithm.
Trans. Data Sci., 2021
IEEE Trans. Cybern., 2021
A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification.
CoRR, 2021
CoRR, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021
2020
Design of airport security screening using queueing theory augmented with particle swarm optimisation.
Serv. Oriented Comput. Appl., 2020
PIDA: Smooth and Stable Flight Using Stochastic Dual Simplex Algorithm and Genetic Filter.
CoRR, 2020
Control Design of Autonomous Drone Using Deep Learning Based Image Understanding Techniques.
CoRR, 2020
CoRR, 2020
Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance.
CoRR, 2020
Online Tensor Decomposition with optimized Stochastic Gradient Descent: an Application in Structural Damage Identification.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
2019
Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance.
ACM Trans. Intell. Syst. Technol., 2019
Augmented Reality Vision Improving Educational Learning.
Aust. J. Intell. Inf. Process. Syst., 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Optimizing the Waiting Time for Airport Security Screening Using Multiple Queues and Servers.
Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Queue Formation Augmented with Particle Swarm Optimisation to Improve Waiting Time in Airport Security Screening.
Proceedings of the Web, Artificial Intelligence and Network Applications, 2019
2018
Structural Health Monitoring Using Machine Learning Techniques and Domain Knowledge Based Features.
Proceedings of the Human and Machine Learning, 2018
Adaptive Online One-Class Support Vector Machines with Applications in Structural Health Monitoring.
ACM Trans. Intell. Syst. Technol., 2018
Sensors, 2018
Automated parameter tuning in one-class support vector machine: an application for damage detection.
Int. J. Data Sci. Anal., 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Sparse Feature Learning Using Ensemble Model for Highly-Correlated High-Dimensional Data.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Self-advised Incremental One-Class Support Vector Machines: An Application in Structural Health Monitoring.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Smart Infrastructure Maintenance Using Incremental Tensor Analysis: Extended Abstract.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2015
ABC-sampling for Balancing Imbalanced Datasets Based on Artificial Bee Colony Algorithm.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
2013
PhD thesis, 2013
BMC Bioinform., 2013
2011
Proceedings of the 12th ACIS International Conference on Software Engineering, 2011
2010
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010