| Flexible and intelligent learning architectures for SoS (FILA-SoS): Architectural evolution in systems-of-systems S Agarwal, LE Pape, CH Dagli, NK Ergin, D Enke, A Gosavi, R Qin, ... Procedia Computer Science 44, 76-85, 2015 | 48 | 2015 |
| DenseNet for anatomical brain segmentation RD Gottapu, CH Dagli Procedia Computer Science 140, 179-185, 2018 | 41 | 2018 |
| Entity resolution using convolutional neural network RD Gottapu, C Dagli, B Ali Procedia Computer Science 95, 153-158, 2016 | 41 | 2016 |
| Analysis of Parkinson’s disease data RD Gottapu, CH Dagli Procedia computer science 140, 334-341, 2018 | 31 | 2018 |
| Point-of-interest recommender system for social groups RD Gottapu, LVS Monangi Procedia computer science 114, 159-164, 2017 | 23 | 2017 |
| Efficient architecture search for deep neural networks RD Gottapu, CH Dagli Procedia Computer Science 168, 19-25, 2020 | 12 | 2020 |
| Flexible and intelligent learning architectures for sos (fila-sos) CH Dagli, DL Enke, N Ergin, D Konur, R Qin, A Gosavi, R Wang, L Pape II, ... Systems Engineering Research Center (SERC), 2015 | 5 | 2015 |
| System Architecting Approach for Designing Deep Learning Models RD Gottapu, CH Dagli Procedia Computer Science 153, 37-44, 2019 | 3 | 2019 |
| Flexible and intelligent learning architectures for SoS (FILA-SoS), Volume 1–Integrated Model Structure CH Dagli, D Enke, N Ergin, D Konur, R Qin, A Gosavi, R Wang, L Pape, ... Systems Engineering Research Center (SERC), Tech. Rep, 2015 | 2 | 2015 |
| Computational model for neural architecture search RD Gottapu Missouri University of Science and Technology, 2020 | | 2020 |
| Project Team N Ergin, D Enke, ST Missouri, A Gosavi, D Konur, R Wang, L Pape, ... | | |