Ali Anaissi

Orcid: 0000-0002-8864-0314

According to our database1, Ali Anaissi authored at least 71 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

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

DroneSSL: Self-Supervised Multimodal Anomaly Detection in Internet of Drone Things.
IEEE Trans. Consumer Electron., February, 2024

ResNLS: An improved model for stock price forecasting.
Comput. Intell., February, 2024

Fine-Tuning LLMs for Reliable Medical Question-Answering Services.
CoRR, 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

Integration of Self-supervised BYOL in Semi-supervised Medical Image Recognition.
Proceedings of the Computational Science - ICCS 2024, 2024

A Federated Learning Anomaly Detection Approach for IoT Environments.
Proceedings of the Second International Conference on Advances in Computing Research, 2024

Understanding Consumers Attitudes Towards Sustainability.
Proceedings of the Second International Conference on Advances in Computing Research, 2024

Improving Weeds Detection in Pastures Using Illumination Invariance Techniques.
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

Predictive Auto-scaling: LSTM-Based Multi-step Cloud Workload Prediction.
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

B<sup>2</sup>-FedGAN: Balanced Bi-directional Federated GAN.
Proceedings of the Computational Science - ICCS 2023, 2023

Damage GAN: A Generative Model for Imbalanced Data.
Proceedings of the Data Science and Machine Learning, 2023

Supervised Learning-Based Indoor Positioning System Using WiFi Fingerprints.
Proceedings of the 2023 International Conference on Advances in Computing Research, 2023

Cloud Resources Usage Prediction Using Deep Learning Models.
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

Deep Learning Algorithm Based Support Vector Machines.
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
Online Tensor-Based Learning Model for Structural Damage Detection.
ACM Trans. Knowl. Discov. Data, 2021

Multi-user Remote Lab: Timetable Scheduling Using Simplex Nondominated Sorting Genetic Algorithm.
Trans. Data Sci., 2021

Stochastic Dual Simplex Algorithm: A Novel Heuristic Optimization Algorithm.
IEEE Trans. Cybern., 2021

A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification.
CoRR, 2021

A Personalized Federated Learning Algorithm: an Application in Anomaly Detection.
CoRR, 2021

Intelligent Failure Prediction in Industrial Vehicles.
Proceedings of the International Joint Conference on Neural Networks, 2021

Anomaly Detection in X-ray Security Imaging: a Tensor-Based Learning Approach.
Proceedings of the International Joint Conference on Neural Networks, 2021

Zero-Shot Learning with Missing Attributes using Semantic Correlations.
Proceedings of the International Joint Conference on Neural Networks, 2021

Intelligent Structural Damage Detection: A Federated Learning Approach.
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

NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent.
CoRR, 2020

Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance.
CoRR, 2020

Online Tensor-Based Learning for Multi-Way Data.
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

Multi-Objective Autoencoder for Fault Detection and Diagnosis in Higher-Order Data.
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

Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring.
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

A Tensor-Based Structural Damage Identification and Severity Assessment.
Sensors, 2018

Automated parameter tuning in one-class support vector machine: an application for damage detection.
Int. J. Data Sci. Anal., 2018

Gaussian Kernel Parameter Optimization in One-Class Support Vector Machines.
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

Regularized Tensor Learning with Adaptive One-Class Support Vector Machines.
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
Case-base retrieval of childhood leukaemia patients using gene expression data
PhD thesis, 2013

A balanced iterative random forest for gene selection from microarray data.
BMC Bioinform., 2013

2011
Feature Selection of Imbalanced Gene Expression Microarray Data.
Proceedings of the 12th ACIS International Conference on Software Engineering, 2011

2010
A framework for high dimensional data reduction in the microarray domain.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010


  Loading...