Yara A. Rizk
Cited by
Cited by
Cooperative Heterogeneous Multi-Robot Systems: A Survey
Y Rizk, M Awad, E Tunstel
ACM Computing Surveys 52 (2), 29:1-29:31, 2019
Decision Making in Multi-Agent Systems: A Survey
Y Rizk, M Awad, EW Tunstel
IEEE Transactions on Cognitive and Developmental Systems 10 (3), 514--529, 2018
From Robotic Process Automation to Intelligent Process Automation
T Chakraborti, V Isahagian, R Khalaf, Y Khazaeni, V Muthusamy, Y Rizk, ...
Business Process Management: Blockchain and Robotic Process Automation Forum …, 2020
Damage Identification in Social Media Posts using Multimodal Deep Learning
H Mouzannar, Y Rizk, M Awad
The 15th International Conference on Information Systems for Crisis Response …, 2018
The biggest business process management problems to solve before we die
I Beerepoot, C Di Ciccio, HA Reijers, S Rinderle-Ma, W Bandara, ...
Computers in Industry 146, 103837, 2023
Deep belief networks and cortical algorithms: A comparative study for supervised classification
Y Rizk, N Hajj, N Mitri, M Awad
Applied Computing and Informatics, 2018
A deep transfer learning framework for seismic data analysis: A case study on bright spot detection
J El Zini, Y Rizk, M Awad
IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3202-3212, 2019
A conversational digital assistant for intelligent process automation
Y Rizk, V Isahagian, S Boag, Y Khazaeni, M Unuvar, V Muthusamy, ...
Business Process Management: Blockchain and Robotic Process Automation Forum …, 2020
A unified conversational assistant framework for business process automation
Y Rizk, A Bhandwalder, S Boag, T Chakraborti, V Isahagian, Y Khazaeni, ...
arXiv preprint arXiv:2001.03543, 2020
A Computationally Efficient Multi-modal Classification Approach of Disaster-related Twitter Images
Y Rizk, HS Jomaa, M Awad, C Castillo
ACM SAC, 2050-2059, 2019
On Extreme Learning Machines in Sequential and Time Series Prediction: A Non-Iterative and Approximate Training Algorithm for Recurrent Neural Networks
Y Rizk, M Awad
Neurocomputing, 2018
A Subjectivity Classification Framework for Sports Articles using Improved Cortical Algorithms
N Hajj, Y Rizk, M Awad
Neural Computing & Applications, 1-17, 2018
Towards a deep learning question-answering specialized chatbot for objective structured clinical examinations
J El Zini, Y Rizk, M Awad, J Antoun
2019 International Joint Conference on Neural Networks (IJCNN), 1-9, 2019
An Optimized Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks
J El Zini, Y Rizk, M Awad
Journal of Artificial Intelligence and Soft Computing Research 11 (1), 33-50, 2021
Explainable composition of aggregated assistants
S Sreedharan, T Chakraborti, Y Rizk, Y Khazaeni
arXiv preprint arXiv:2011.10707, 2020
A local mixture based SVM for an efficient supervised binary classification
Y Rizk, N Mitri, M Awad
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
From natural language to workflows: Towards emergent intelligence in robotic process automation
T Chakraborti, Y Rizk, V Isahagian, B Aksar, F Fuggitti
International Conference on Business Process Management, 123-137, 2022
A mapreduce cortical algorithms implementation for unsupervised learning of big data
N Hajj, Y Rizk, M Awad
Procedia Computer Science 53, 327-334, 2015
A Quantum Genetic Algorithm for Pickup and Delivery Problems with Coalition Formation
Y Rizk, M Awad
International Conference on Knowledge-Based and Intelligent Information …, 2019
Toward Real-Time Seismic Feature Analysis for Bright Spot Detection: A Distributed Approach
Y Rizk, H Partamian, M Awad
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
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