| Cooperative Heterogeneous Multi-Robot Systems: A Survey Y Rizk, M Awad, E Tunstel ACM Computing Surveys 52 (2), 29:1-29:31, 2019 | 337 | 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 | 213 | 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 | 138 | 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 | 129 | 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 | 71 | 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 | 65 | 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 | 40 | 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 | 39 | 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 | 35 | 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 | 34 | 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 | 27 | 2018 |
| A Subjectivity Classification Framework for Sports Articles using Improved Cortical Algorithms N Hajj, Y Rizk, M Awad Neural Computing & Applications, 1-17, 2018 | 25 | 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 | 21 | 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 | 18 | 2021 |
| Explainable composition of aggregated assistants S Sreedharan, T Chakraborti, Y Rizk, Y Khazaeni arXiv preprint arXiv:2011.10707, 2020 | 13 | 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 | 13 | 2013 |
| A mapreduce cortical algorithms implementation for unsupervised learning of big data N Hajj, Y Rizk, M Awad Procedia Computer Science 53, 327-334, 2015 | 11 | 2015 |
| 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 | 10 | 2022 |
| 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 | 9 | 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 | 9 | 2017 |
Vatche IsahagianIBM Research AIDirección de correo verificada de ibm.com
