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Journal Articles
- 2024
[j13]Theodore Tangie Longtchi
, Rosana Montañez Rodriguez, Laith Al-Shawaf, Adham Atyabi, Shouhuai Xu:
Internet-Based Social Engineering Psychology, Attacks, and Defenses: A Survey. Proc. IEEE 112(3): 210-246 (2024)- 2023
- [j12]Alireza Taheri, Adham Atyabi, Ali Meghdari, Minoo Alemi:
Editorial: Human-robot interaction for children with special needs. Frontiers Robotics AI 10 (2023) - [j11]Adham Atyabi, Frederick Shic, Jiajun Jiang, Claire E. Foster, Erin Barney, Minah Kim, Beibin Li, Pamela Ventola, Chung-Hao Chen:
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths. ACM Trans. Knowl. Discov. Data 17(2): 25:1-25:20 (2023) - 2020
- [j10]Mohd Nadhir Ab Wahab, Samia Nefti-Meziani, Adham Atyabi:
A comparative review on mobile robot path planning: Classical or meta-heuristic methods? Annu. Rev. Control. 50: 233-252 (2020) - 2019
- [j9]Somaiyeh Mahmoud Zadeh, David M. W. Powers, Karl Sammut, Amir Mehdi Yazdani, Adham Atyabi:
Hybrid Motion Planning Task Allocation Model for AUV's Safe Maneuvering in a Realistic Ocean Environment. J. Intell. Robotic Syst. 94(1): 265-282 (2019) - [j8]Somaiyeh Mahmoud Zadeh, David M. W. Powers, Adham Atyabi:
UUV's Hierarchical DE-Based Motion Planning in a Semi Dynamic Underwater Wireless Sensor Network. IEEE Trans. Cybern. 49(8): 2992-3005 (2019) - 2018
- [j7]Adham Atyabi, Somaiyeh Mahmoud Zadeh, Samia Nefti-Meziani:
Current advancements on autonomous mission planning and management systems: An AUV and UAV perspective. Annu. Rev. Control. 46: 196-215 (2018) - [j6]Somaiyeh Mahmoud Zadeh, David M. W. Powers, Karl Sammut, Adham Atyabi, Amir Mehdi Yazdani:
A hierarchal planning framework for AUV mission management in a spatiotemporal varying ocean. Comput. Electr. Eng. 67: 741-760 (2018) - 2017
- [j5]Adham Atyabi, Martin H. Luerssen, Sean P. Fitzgibbon, Trent W. Lewis, David M. W. Powers:
Reducing training requirements through evolutionary based dimension reduction and subject transfer. Neurocomputing 224: 19-36 (2017) - 2016
- [j4]Adham Atyabi, Frédérick Shic, Adam Naples:
Mixture of autoregressive modeling orders and its implication on single trial EEG classification. Expert Syst. Appl. 65: 164-180 (2016) - 2013
- [j3]Adham Atyabi, Martin H. Luerssen, David M. W. Powers:
PSO-based dimension reduction of EEG recordings: Implications for subject transfer in BCI. Neurocomputing 119: 319-331 (2013) - 2010
- [j2]Adham Atyabi, Somnuk Phon-Amnuaisuk, Chin Kuan Ho:
Navigating a robotic swarm in an uncharted 2D landscape. Appl. Soft Comput. 10(1): 149-169 (2010) - [j1]Adham Atyabi, Somnuk Phon-Amnuaisuk, Chin Kuan Ho:
Applying Area Extension PSO in Robotic Swarm. J. Intell. Robotic Syst. 58(3-4): 253-285 (2010)
Conference and Workshop Papers
- 2023
- [c27]Uma Chinta, Jugal Kalita, Adham Atyabi:
Soft Voting Strategy for Multi-Modal Emotion Recognition Using Deep-learning- Facial Images and EEG. CCWC 2023: 738-745 - [c26]Uma Chinta, Adham Atyabi:
A Framework Pipeline to Address Imbalanced Class Distribution Problem in Real-world Datasets. CCWC 2023: 746-753 - [c25]Mohd Nadhir Ab Wahab, Samia Nefti-Meziani, Adham Atyabi:
The Impact of Dynamic Adjustment of Swarm Behavior on Particle Swarm Optimization Performance using Benchmark Functions. CCWC 2023: 759-767 - [c24]Adham Atyabi, Laura Boccanfuso, James C. Snider, Minah Kim, Erin Barney, Amy Yeo-jin Ahn, Beibin Li, Kelsey Jackson Dommer, Frederick Shic:
Large-scale Investigations of AAC Usage Patterns: Trends, Autism, and Stacked Autoencoders. CCWC 2023: 851-859 - [c23]Hossein Rajoli, Fatemeh Lotfi, Adham Atyabi, Fatemeh Afghah:
Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios. CISS 2023: 1-6 - [c22]Michal Hochhauser, Kelsey Jackson Dommer, Adham Atyabi, Beibin Li, Yeojin A. Ahn, Madeline Aubertine, Minah Kim, Sarah G. Corrigan, Kevin A. Pelphrey, Frederick Shic:
Comparing Attention to Biological Motion in Autism across Age Groups Using Eye-Tracking. ETRA 2023: 36:1-36:3 - [c21]Uma Chinta, Adham Atyabi:
Facial Expression Recognition Using Robust Attention-Based CNN. ICMLA 2023: 858-863 - [c20]Uma Chinta, Adham Atyabi:
Detecting Children Emotion through Facial Expression Recognition. SMC 2023: 5034-5039 - 2022
- [c19]Daniel Theng, Adham Atyabi:
Implication of Subject Transfer in Motor Imagery Brain Computer Interfacing systems. IJCNN 2022: 1-8 - [c18]Teddy Zaremba, Adham Atyabi:
Cross-Subject & Cross-Dataset Subject Transfer in Motor Imagery BCI systems. IJCNN 2022: 1-8 - 2021
- [c17]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:
Learning Oculomotor Behaviors from Scanpath. ICMI 2021: 407-415 - 2018
- [c16]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:
Social Influences on Executive Functioning in Autism: Design of a Mobile Gaming Platform. CHI 2018: 443 - 2017
- [c15]Adham Atyabi, Beibin Li, Amy Yeo-jin Ahn, Minah Kim, Erin Barney, Frederick Shic:
An exploratory analysis targeting diagnostic classification of AAC app usage patterns. IJCNN 2017: 1633-1640 - 2016
- [c14]Stephanie Valencia, Megan V. Smith, Adham Atyabi, Frederick Shic:
Mobile ascertainment of smoking status through breath: A machine learning approach. UEMCON 2016: 1-7 - 2013
- [c13]Adham Atyabi, David M. W. Powers:
Cooperative Area Extension of PSO - Transfer Learning vs. Uncertainty in a Simulated Swarm Robotics. ICINCO (1) 2013: 177-184 - 2012
- [c12]Adham Atyabi, Sean P. Fitzgibbon, David M. W. Powers:
Multiplication of EEG Samples through Replicating, Biasing, and Overlapping. Brain Informatics 2012: 209-219 - [c11]Adham Atyabi, Martin H. Luerssen, Sean P. Fitzgibbon, David M. W. Powers:
The Impact of PSO Based Dimension Reduction on EEG Classification. Brain Informatics 2012: 220-231 - [c10]Adham Atyabi, Martin H. Luerssen, Sean P. Fitzgibbon, David M. W. Powers:
Evolutionary feature selection and electrode reduction for EEG classification. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c9]Adham Atyabi, Martin H. Luerssen, Sean P. Fitzgibbon, David M. W. Powers:
Dimension reduction in EEG data using Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c8]Adham Atyabi, Martin H. Luerssen, Sean P. Fitzgibbon, David M. W. Powers:
Adapting subject-independent task-specific EEG feature masks using PSO. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c7]Adham Atyabi, Sean P. Fitzgibbon, David M. W. Powers:
Biasing the overlapping and non-overlapping sub-windows of EEG recording. IJCNN 2012: 1-6 - 2011
- [c6]Adham Atyabi, Sean P. Fitzgibbon, David M. W. Powers:
Multiplying the Mileage of Your Dataset with Subwindowing. Brain Informatics 2011: 173-184 - 2010
- [c5]Adham Atyabi, David M. W. Powers:
The use of area extended particle swarm optimization (AEPSO) in swarm robotics. ICARCV 2010: 591-596 - [c4]Adham Atyabi, Tom A. F. Anderson, Kenneth Treharne, David M. W. Powers:
Magician simulator - A realistic simulator for heterogeneous teams of autonomous robots. ICARCV 2010: 2479-2484 - 2008
- [c3]Adham Atyabi, Somnuk Phon-Amnuaisuk, Chin Kuan Ho:
Cooperative learning of homogeneous and heterogeneous particles in Area Extension PSO. IEEE Congress on Evolutionary Computation 2008: 3889-3896 - 2007
- [c2]Adham Atyabi, Somnuk Phon-Amnuaisuk:
Particle swarm optimization with area extension (AEPSO). IEEE Congress on Evolutionary Computation 2007: 1970-1976 - [c1]Adham Atyabi, Somnuk Phon-Amnuaisuk, Chin Kuan Ho:
Effects of Communication Range, Noise and Help Request Signal on Particle Swarm Optimization with Area Extension (AEPSO). IAT 2007: 85-88
Editorship
- 2022
- [e1]Frederick Shic, Enkelejda Kasneci, Mohamed Khamis, Hans Gellersen, Krzysztof Krejtz, Daniel Weiskopf, Tanja Blascheck, Jessica Bradshaw, Hana Vrzakova, Kamran Binaee, Michael Burch, Peter Kiefer, Roman Bednarik, Diako Mardanbegi, Christopher Clarke, Rakshit Sunil Kothari, Vijay Rajanna, Sampath Jayarathna, Arantxa Villanueva, Adham Atyabi, Shahram Eivazi:
ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8 - 11, 2022. ACM 2022, ISBN 978-1-4503-9252-5 [contents]
Informal and Other Publications
- 2023
- [i8]Hossein Rajoli, Fatemeh Lotfi, Adham Atyabi, Fatemeh Afghah:
Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios. CoRR abs/2302.04108 (2023) - [i7]Angel I. Solis, Justin Zarkovacki, John Ly, Adham Atyabi:
Recognition of Handwritten Japanese Characters Using Ensemble of Convolutional Neural Networks. CoRR abs/2306.03954 (2023) - 2022
- [i6]Rosana Montañez Rodriguez, Adham Atyabi, Shouhuai Xu:
Social Engineering Attacks and Defenses in the Physical World vs. Cyberspace: A Contrast Study. CoRR abs/2203.04813 (2022) - [i5]Theodore Tangie Longtchi, Rosana Montañez Rodriguez, Laith Al-Shawaf, Adham Atyabi, Shouhuai Xu:
SoK: Why Have Defenses against Social Engineering Attacks Achieved Limited Success? CoRR abs/2203.08302 (2022) - 2021
- [i4]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:
Learning Oculomotor Behaviors from Scanpath. CoRR abs/2108.05025 (2021) - 2020
- [i3]Adham Atyabi, Somaiyeh Mahmoud Zadeh, Samia Nefti-Meziani:
Current Advancements on Autonomous Mission Planning and Management Systems: an AUV and UAV perspective. CoRR abs/2007.05179 (2020) - [i2]Somaiyeh MahmoudZadeh, David M. W. Powers, Adham Atyabi:
UUV's Hierarchical DE-based Motion Planning in a Semi Dynamic Underwater Wireless Sensor Network. CoRR abs/2007.09228 (2020) - 2016
- [i1]Adham Atyabi, Martin H. Luerssen, Sean P. Fitzgibbon, Trent W. Lewis, David M. W. Powers:
Reducing training requirements through evolutionary based dimension reduction and subject transfer. CoRR abs/1602.02237 (2016)
Coauthor Index
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