Mariette Awad

Orcid: 0000-0002-4815-6894

According to our database1, Mariette Awad authored at least 97 papers between 2003 and 2025.

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

Timeline

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Bibliography

2025
RL-based mobile edge computing scheme for high reliability low latency services in UAV-aided IIoT networks.
Ad Hoc Networks, 2025

2024
On The Potential of The Fractal Geometry and The CNNs Ability to Encode it.
CoRR, 2024

Advancing Agricultural Sustainability Through an AI Powered Classification Framework of Plant Pests and Diseases.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops, 2024

Towards an Unbiased Classification of Chest X-ray Images Using a RL Powered ACGAN Framework.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

An EANN-Based Recommender System for Drug Recommendation.
Proceedings of the Engineering Applications of Neural Networks, 2024

2023
On the Explainability of Natural Language Processing Deep Models.
ACM Comput. Surv., 2023

An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction.
CoRR, 2023

Spatio-Temporal Graph Neural Networks: A Survey.
CoRR, 2023

CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions.
CoRR, 2023

Reinforcement Learning in the Sky: A Survey on Enabling Intelligence in NTN-Based Communications.
IEEE Access, 2023

Real-Time Arabic Digit Spotting with TinyML-Optimized CNNs on Edge Devices.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

2022
The Power of Transfer Learning in Agricultural Applications: AgriNet.
CoRR, 2022

Towards Cross-Disaster Building Damage Assessment with Graph Convolutional Networks.
CoRR, 2022

BLDNet: A Semi-supervised Change Detection Building Damage Framework using Graph Convolutional Networks and Urban Domain Knowledge.
CoRR, 2022

Towards Cross-Disaster Building Damage Detection with Graph Convolutional Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

On the Evaluation of the Plausibility and Faithfulness of Sentiment Analysis Explanations.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

MTMA-DDPG: A Deep Deterministic Policy Gradient Reinforcement Learning for Multi-task Multi-agent Environments.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
An Optimized Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks.
J. Artif. Intell. Soft Comput. Res., 2021

A Progressive and Cross-Domain Deep Transfer Learning Framework for Wrist Fracture Detection.
J. Artif. Intell. Soft Comput. Res., 2021

TempoMAGE: a deep learning framework that exploits the causal dependency between time-series data to predict histone marks in open chromatin regions at time-points with missing ChIP-seq datasets.
Bioinform., 2021

2020
A Deep Transfer Learning Framework for Seismic Data Analysis: A Case Study on Bright Spot Detection.
IEEE Trans. Geosci. Remote. Sens., 2020

Learning to run a Power Network Challenge: a Retrospective Analysis.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Change Your Singer: A Transfer Learning Generative Adversarial Framework for Song to Song Conversion.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Towards a Quantum based GA Search for an Optimal Artificial Neural Networks Architecture and Feature Selection to Model NOx Emissions: A Case Study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

BAR - A Reinforcement Learning Agent for Bounding-Box Automated Refinement.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A subjectivity classification framework for sports articles using improved cortical algorithms.
Neural Comput. Appl., 2019

A piecewise weight update rule for a supervised training of cortical algorithms.
Neural Comput. Appl., 2019

On extreme learning machines in sequential and time series prediction: A non-iterative and approximate training algorithm for recurrent neural networks.
Neurocomputing, 2019

Cooperative Heterogeneous Multi-Robot Systems: A Survey.
ACM Comput. Surv., 2019

An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks.
CoRR, 2019

On Biologically Inspired Stochastic Reinforcement Deep Learning: A Case Study on Visual Surveillance.
IEEE Access, 2019

Toward a continuous authentication system using a biologically inspired machine learning approach: a case study.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

A computationally efficient multi-modal classification approach of disaster-related Twitter images.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

A quantum genetic algorithm for pickup and delivery problems with coalition formation.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Towards A Deep Learning Question-Answering Specialized Chatbot for Objective Structured Clinical Examinations.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Multimodal Damage Identification for Humanitarian Computing.
Dataset, May, 2018

Sports articles for objectivity analysis.
Dataset, April, 2018

Decision Making in Multiagent Systems: A Survey.
IEEE Trans. Cogn. Dev. Syst., 2018

Toward Real-Time Seismic Feature Analysis for Bright Spot Detection: A Distributed Approach.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Towards distributed acceleration of image processing applications using reconfigurable active SSD clusters: a case study of seismic data analysis.
Int. J. High Perform. Comput. Netw., 2018

Anytime multipurpose emotion recognition from EEG data using a Liquid State Machine based framework.
Artif. Intell. Medicine, 2018

MOSAIC: Simultaneous Localization and Environment Mapping Using mmWave Without A-Priori Knowledge.
IEEE Access, 2018

Damage Identification in Social Media Posts using Multimodal Deep Learning.
Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018

Dynamic Area Search with Shared Memory: A Meta-Framework to Improve Pathfinding Algorithms.
Proceedings of the 2018 International Conference on Innovations in Information Technology (IIT), 2018

Towards a Machine Learning Approach for Detecting Click Fraud in Mobile Advertizing.
Proceedings of the 2018 International Conference on Innovations in Information Technology (IIT), 2018

Geometric Approach in Simultaneous Context Inference, Localization and Mapping using mm-Wave.
Proceedings of the 25th International Conference on Telecommunications, 2018

Barricaded Boundary Minority Oversampling LS-SVM for a Biased Binary Classification.
Proceedings of the Discovery Science - 21st International Conference, 2018

Sky Writer: Towards an Intelligent Smart-phone Gesture Tracing and Recognition Framework.
Proceedings of the Discovery Science - 21st International Conference, 2018

Hierarchical Fusion Evolving Spiking Neural Network for Adaptive Learning.
Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018

2017
A Study of the Performance of a Cloud Datacenter Server.
IEEE Trans. Cloud Comput., 2017

KerMinSVM for imbalanced datasets with a case study on arabic comics classification.
Eng. Appl. Artif. Intell., 2017

Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications.
IEEE Commun. Surv. Tutorials, 2017

Irregular breathing detection in CPAP assisted patients using hierarchical temporal memory.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A biologically inspired deep neural network of basal ganglia switching in working memory tasks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Simultaneous context inference and mapping using mm-Wave for indoor scenarios.
Proceedings of the IEEE International Conference on Communications, 2017

2016
A mathematical model to analyze the utilization of a cloud datacenter middleware.
J. Netw. Comput. Appl., 2016

An Epsilon Bargaining Game-Theoretic Formulation Between Carrier and Container Terminal Operators for Servicing Vessels During Unloading Operations.
J. Intell. Transp. Syst., 2016

Order reduction and efficient implementation of nonlinear nonlocal cochlear response models.
Biol. Cybern., 2016

Semantic and Visual Cues for Humanitarian Computing of Natural Disaster Damage Images.
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

Affective Relationship between Color and Text in Arabic Comic Books.
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

2015
On the Distributed Implementation of Unsupervised Extreme Learning Machines for Big Data.
Proceedings of the INNS Conference on Big Data 2015, 2015

A MapReduce Cortical Algorithms Implementation for Unsupervised Learning of Big Data.
Proceedings of the INNS Conference on Big Data 2015, 2015

Panel Tracking for the Extraction and the Classification of Speech Balloons.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

2014
Hadoop Extensions for Distributed Computing on Reconfigurable Active SSD Clusters.
ACM Trans. Archit. Code Optim., 2014

Hybrid positioning data fusion in heterogeneous networks with critical hearability.
EURASIP J. Wirel. Commun. Netw., 2014

Modeling Attacks on MANET Using an Incomplete Repeated Bayesian Game.
Proceedings of the Intelligent Systems'2014, 2014

A Game Theory Approach to Demand Side Management in Smart Grids.
Proceedings of the Intelligent Systems'2014, 2014

An ordinal kernel trick for a computationally efficient support vector machine.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Energy-Aware Discrete Probabilistic Localization of Wireless Sensor Networks.
Intell. Autom. Soft Comput., 2013

A Musical Classification and Interpretation of Abstract Art.
Proceedings of the International Conference on Making Sense of Converging Media, 2013

An intelligent carpooling app for a green social solution to traffic and parking congestions.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

A local mixture based SVM for an efficient supervised binary classification.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Weighted entropy cortical algorithms for isolated Arabic speech recognition.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Minority SVM for linearly separable imbalanced datasets.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

On the hybrid localization in heterogeneous networks with lack of hearability.
Proceedings of the 20st International Conference on Telecommunications, 2013

RASSD: A dynamically reconfigurable active storage device for energy efficient data analytics.
Proceedings of the 4th Annual International Conference on Energy Aware Computing Systems and Applications, 2013

A Mediation Layer for Connecting Data-Intensive Applications to Reconfigurable Data Nodes.
Proceedings of the 22nd International Conference on Computer Communication and Networks, 2013

2012
An asymmetrical and quadratic Support Vector Regression loss function for Beirut short term load forecast.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Ordinal optimization for optimal Capacitor Placement and network reconfiguration in radial distribution networks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Isolated handwriting recognition via multi-stage Support Vector Machines.
Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

An ordinal optimization like GA for improved OFDMA system carrier allocations.
Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

An operating system for a Reconfigurable Active SSD processing node.
Proceedings of the 19th International Conference on Telecommunications, 2012

Thermal status and workload prediction using support vector regression.
Proceedings of the International Conference on Energy Aware Computing, 2012

2011
SIRA: A socially inspired game theoretic uplink/downlink resource aware allocation in OFDMA systems.
Proceedings of the IEEE International Conference on Systems, 2011

Dynamic energy allocation for coordinated optimization in enterprise workloads.
Proceedings of the International Conference on Energy Aware Computing, 2011

Exploring energy aware microarchitectural design space via computationally efficient genetic programming.
Proceedings of the International Conference on Energy Aware Computing, 2011

A Distributed Reconfigurable Active SSD Platform for Data Intensive Applications.
Proceedings of the 13th IEEE International Conference on High Performance Computing & Communication, 2011

A game theoretic scenario for LTE load balancing.
Proceedings of the AFRICON 2011, 2011

2010
A Clinical Decision Support Framework for Incremental Polyps Classification in Virtual Colonoscopy.
Algorithms, 2010

A Pseudo Bargaining Formulation For Servicing Vessels During Transshipment Operations.
Proceedings of the 2010 International Conference on Information & Knowledge Engineering, 2010

Multistage SVM as a Clinical Decision Making Tool for Predicting Post Operative Patient Status.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

2009
FPGA supercomputing platforms: A survey.
Proceedings of the 19th International Conference on Field Programmable Logic and Applications, 2009

2008
Dynamic classification for video stream using support vector machine.
Appl. Soft Comput., 2008

2007
Incremental Support Vector Machine Framework for Visual Sensor Networks.
EURASIP J. Adv. Signal Process., 2007

2003
A 3-D visualization method for image-guided brain surgery.
IEEE Trans. Syst. Man Cybern. Part B, 2003


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