Adham Atyabi

According to our database, Adham Atyabi authored at least 43 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Internet-Based Social Engineering Psychology, Attacks, and Defenses: A Survey.

Theodore Tangie Longtchi, Rosana Montañez Rodriguez, Laith Al-Shawaf, Adham Atyabi, Shouhuai Xu

Proc. IEEE, March, 2024

2023

Editorial: Human-robot interaction for children with special needs.

Alireza Taheri, Adham Atyabi, Ali Meghdari, Minoo Alemi

Frontiers Robotics AI, October, 2023

Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths.

Adham Atyabi, Frederick Shic, Jiajun Jiang, Claire E. Foster, Erin Barney, Minah Kim, Beibin Li, Pamela Ventola, Chung-Hao Chen

ACM Trans. Knowl. Discov. Data, February, 2023

Recognition of Handwritten Japanese Characters Using Ensemble of Convolutional Neural Networks.

Angel I. Solis, Justin Zarkovacki, John Ly, Adham Atyabi

CoRR, 2023

Detecting Children Emotion through Facial Expression Recognition.

Uma Chinta, Adham Atyabi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Facial Expression Recognition Using Robust Attention-Based CNN.

Uma Chinta, Adham Atyabi

Proceedings of the International Conference on Machine Learning and Applications, 2023

Comparing Attention to Biological Motion in Autism across Age Groups Using Eye-Tracking.

Michal Hochhauser, Kelsey Jackson Dommer, Adham Atyabi, Beibin Li, Yeojin A. Ahn, Madeline Aubertine, Minah Kim, Sarah G. Corrigan, Kevin A. Pelphrey, Frederick Shic

Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023

Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios.

Hossein Rajoli, Fatemeh Lotfi, Adham Atyabi, Fatemeh Afghah

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

The Impact of Dynamic Adjustment of Swarm Behavior on Particle Swarm Optimization Performance using Benchmark Functions.

Mohd Nadhir Ab Wahab, Samia Nefti-Meziani, Adham Atyabi

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

Soft Voting Strategy for Multi-Modal Emotion Recognition Using Deep-learning- Facial Images and EEG.

Uma Chinta, Jugal Kalita, Adham Atyabi

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

A Framework Pipeline to Address Imbalanced Class Distribution Problem in Real-world Datasets.

Uma Chinta, Adham Atyabi

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

Large-scale Investigations of AAC Usage Patterns: Trends, Autism, and Stacked Autoencoders.

Adham Atyabi, Laura Boccanfuso, James C. Snider, Minah Kim, Erin Barney, Amy Yeo-jin Ahn, Beibin Li, Kelsey Jackson Dommer, Frederick Shic

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

2022

SoK: Why Have Defenses against Social Engineering Attacks Achieved Limited Success?

Theodore Tangie Longtchi, Rosana Montañez Rodriguez, Laith Al-Shawaf, Adham Atyabi, Shouhuai Xu

CoRR, 2022

Social Engineering Attacks and Defenses in the Physical World vs. Cyberspace: A Contrast Study.

Rosana Montañez Rodriguez, Adham Atyabi, Shouhuai Xu

CoRR, 2022

Cross-Subject & Cross-Dataset Subject Transfer in Motor Imagery BCI systems.

Teddy Zaremba, Adham Atyabi

Proceedings of the International Joint Conference on Neural Networks, 2022

Implication of Subject Transfer in Motor Imagery Brain Computer Interfacing systems.

Daniel Theng, Adham Atyabi

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Learning Oculomotor Behaviors from Scanpath.

Beibin Li, Nicholas Nuechterlein, Erin Barney, Claire E. Foster, Minah Kim, Monique Mahony, Adham Atyabi, Li Feng, Quan Wang, Pamela Ventola, Linda G. Shapiro, Frederick Shic

Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

2020

A comparative review on mobile robot path planning: Classical or meta-heuristic methods?

Mohd Nadhir Ab Wahab, Samia Nefti-Meziani, Adham Atyabi

Annu. Rev. Control., 2020

2019

UUV's Hierarchical DE-Based Motion Planning in a Semi Dynamic Underwater Wireless Sensor Network.

Somaiyeh Mahmoud Zadeh, David M. W. Powers, Adham Atyabi

IEEE Trans. Cybern., 2019

Hybrid Motion Planning Task Allocation Model for AUV's Safe Maneuvering in a Realistic Ocean Environment.

Somaiyeh Mahmoud Zadeh, David M. W. Powers, Karl Sammut, Amir Mehdi Yazdani, Adham Atyabi

J. Intell. Robotic Syst., 2019

2018

A hierarchal planning framework for AUV mission management in a spatiotemporal varying ocean.

Somaiyeh Mahmoud Zadeh, David M. W. Powers, Karl Sammut, Adham Atyabi, Amir Mehdi Yazdani

Comput. Electr. Eng., 2018

Current advancements on autonomous mission planning and management systems: An AUV and UAV perspective.

Adham Atyabi, Somaiyeh Mahmoud Zadeh, Samia Nefti-Meziani

Annu. Rev. Control., 2018

Social Influences on Executive Functioning in Autism: Design of a Mobile Gaming Platform.

Beibin Li, Adham Atyabi, Minah Kim, Erin Barney, Amy Yeo-jin Ahn, Yawen Luo, Madeline Aubertine, Sarah Corrigan, Tanya St. John, Quan Wang, Marilena Mademtzi, Mary Best, Frederick Shic

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

Reducing training requirements through evolutionary based dimension reduction and subject transfer.

Adham Atyabi, Martin H. Luerssen, Sean P. Fitzgibbon, Trent W. Lewis, David M. W. Powers

Neurocomputing, 2017

An exploratory analysis targeting diagnostic classification of AAC app usage patterns.

Adham Atyabi, Beibin Li, Amy Yeo-jin Ahn, Minah Kim, Erin Barney, Frederick Shic

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Mixture of autoregressive modeling orders and its implication on single trial EEG classification.

Adham Atyabi, Frédérick Shic, Adam Naples

Expert Syst. Appl., 2016

Mobile ascertainment of smoking status through breath: A machine learning approach.

Stephanie Valencia, Megan V. Smith, Adham Atyabi, Frederick Shic

Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016

2013

PSO-based dimension reduction of EEG recordings: Implications for subject transfer in BCI.

Adham Atyabi, Martin H. Luerssen, David M. W. Powers

Neurocomputing, 2013

Cooperative Area Extension of PSO - Transfer Learning vs. Uncertainty in a Simulated Swarm Robotics.

Adham Atyabi, David M. W. Powers

Proceedings of the ICINCO 2013 - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Reykjavík, Iceland, 29, 2013

2012

Biasing the overlapping and non-overlapping sub-windows of EEG recording.

Adham Atyabi, Sean P. Fitzgibbon, David M. W. Powers

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Adapting subject-independent task-specific EEG feature masks using PSO.

Adham Atyabi, Martin H. Luerssen, Sean P. Fitzgibbon, David M. W. Powers

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Dimension reduction in EEG data using Particle Swarm Optimization.

Adham Atyabi, Martin H. Luerssen, Sean P. Fitzgibbon, David M. W. Powers

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Evolutionary feature selection and electrode reduction for EEG classification.

Adham Atyabi, Martin H. Luerssen, Sean P. Fitzgibbon, David M. W. Powers

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

The Impact of PSO Based Dimension Reduction on EEG Classification.

Adham Atyabi, Martin H. Luerssen, Sean P. Fitzgibbon, David M. W. Powers

Proceedings of the Brain Informatics - International Conference, 2012

Multiplication of EEG Samples through Replicating, Biasing, and Overlapping.

Adham Atyabi, Sean P. Fitzgibbon, David M. W. Powers

Proceedings of the Brain Informatics - International Conference, 2012

2011

Multiplying the Mileage of Your Dataset with Subwindowing.

Adham Atyabi, Sean P. Fitzgibbon, David M. W. Powers

Proceedings of the Brain Informatics - International Conference, 2011

2010

Applying Area Extension PSO in Robotic Swarm.

Adham Atyabi, Somnuk Phon-Amnuaisuk, Chin Kuan Ho

J. Intell. Robotic Syst., 2010

Navigating a robotic swarm in an uncharted 2D landscape.

Adham Atyabi, Somnuk Phon-Amnuaisuk, Chin Kuan Ho

Appl. Soft Comput., 2010

The use of area extended particle swarm optimization (AEPSO) in swarm robotics.

Adham Atyabi, David M. W. Powers

Proceedings of the 11th International Conference on Control, 2010

Magician simulator - A realistic simulator for heterogeneous teams of autonomous robots.

Adham Atyabi, Tom A. F. Anderson, Kenneth Treharne, David M. W. Powers

Proceedings of the 11th International Conference on Control, 2010

2008

Cooperative learning of homogeneous and heterogeneous particles in Area Extension PSO.

Adham Atyabi, Somnuk Phon-Amnuaisuk, Chin Kuan Ho

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Effects of Communication Range, Noise and Help Request Signal on Particle Swarm Optimization with Area Extension (AEPSO).

Adham Atyabi, Somnuk Phon-Amnuaisuk, Chin Kuan Ho

Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007

Particle swarm optimization with area extension (AEPSO).

Adham Atyabi, Somnuk Phon-Amnuaisuk

Proceedings of the IEEE Congress on Evolutionary Computation, 2007