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Adham Atyabi
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2020 – today
- 2024
- [j13]Theodore Tangie Longtchi
, Rosana Montañez Rodriguez, Laith Al-Shawaf
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
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) - [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
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 - [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
- [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 - [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
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] - [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
- [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 - [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
- [j10]Mohd Nadhir Ab Wahab
A comparative review on mobile robot path planning: Classical or meta-heuristic methods? Annu. Rev. Control. 50: 233-252 (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)
2010 – 2019
- 2019
- [j9]Somaiyeh Mahmoud Zadeh
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
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
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
A hierarchal planning framework for AUV mission management in a spatiotemporal varying ocean. Comput. Electr. Eng. 67: 741-760 (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
- [j5]Adham Atyabi
Reducing training requirements through evolutionary based dimension reduction and subject transfer. Neurocomputing 224: 19-36 (2017) - [c15]Adham Atyabi
An exploratory analysis targeting diagnostic classification of AAC app usage patterns. IJCNN 2017: 1633-1640 - 2016
- [j4]Adham Atyabi
Mixture of autoregressive modeling orders and its implication on single trial EEG classification. Expert Syst. Appl. 65: 164-180 (2016) - [c14]Stephanie Valencia
Mobile ascertainment of smoking status through breath: A machine learning approach. UEMCON 2016: 1-7 - [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) - 2013
- [j3]Adham Atyabi
PSO-based dimension reduction of EEG recordings: Implications for subject transfer in BCI. Neurocomputing 119: 319-331 (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
Multiplication of EEG Samples through Replicating, Biasing, and Overlapping. Brain Informatics 2012: 209-219 - [c11]Adham Atyabi
The Impact of PSO Based Dimension Reduction on EEG Classification. Brain Informatics 2012: 220-231 - [c10]Adham Atyabi
Evolutionary feature selection and electrode reduction for EEG classification. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c9]Adham Atyabi
Dimension reduction in EEG data using Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c8]Adham Atyabi
Adapting subject-independent task-specific EEG feature masks using PSO. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c7]Adham Atyabi
Biasing the overlapping and non-overlapping sub-windows of EEG recording. IJCNN 2012: 1-6 - 2011
- [c6]Adham Atyabi
Multiplying the Mileage of Your Dataset with Subwindowing. Brain Informatics 2011: 173-184 - 2010
- [j2]Adham Atyabi
Navigating a robotic swarm in an uncharted 2D landscape. Appl. Soft Comput. 10(1): 149-169 (2010) - [j1]Adham Atyabi
Applying Area Extension PSO in Robotic Swarm. J. Intell. Robotic Syst. 58(3-4): 253-285 (2010) - [c5]Adham Atyabi
The use of area extended particle swarm optimization (AEPSO) in swarm robotics. ICARCV 2010: 591-596 - [c4]Adham Atyabi
Magician simulator - A realistic simulator for heterogeneous teams of autonomous robots. ICARCV 2010: 2479-2484
2000 – 2009
- 2008
- [c3]Adham Atyabi
Cooperative learning of homogeneous and heterogeneous particles in Area Extension PSO. IEEE Congress on Evolutionary Computation 2008: 3889-3896 - 2007
- [c2]Adham Atyabi
Particle swarm optimization with area extension (AEPSO). IEEE Congress on Evolutionary Computation 2007: 1970-1976 - [c1]Adham Atyabi
Effects of Communication Range, Noise and Help Request Signal on Particle Swarm Optimization with Area Extension (AEPSO). IAT 2007: 85-88
Coauthor Index
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