| Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration AER ElSaid, F El Jamiy, J Higgins, B Wild, T Desell Applied Soft Computing 73, 969-991, 2018 | 112 | 2018 |
| Large scale evolution of convolutional neural networks using volunteer computing T Desell Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 82 | 2017 |
| Dynamic malleability in iterative MPI applications K El Maghraoui, TJ Desell, BK Szymanski, CA Varela Seventh IEEE International Symposium on Cluster Computing and the Grid …, 2007 | 78 | 2007 |
| Evolving deep recurrent neural networks using ant colony optimization T Desell, S Clachar, J Higgins, B Wild Evolutionary Computation in Combinatorial Optimization: 15th European …, 2015 | 74 | 2015 |
| The internet operating system: Middleware for adaptive distributed computing KE Maghraoui, TJ Desell, BK Szymanski, CA Varela The International Journal of High Performance Computing Applications 20 (4 …, 2006 | 71 | 2006 |
| Malleable applications for scalable high performance computing T Desell, KE Maghraoui, CA Varela Cluster Computing 10, 323-337, 2007 | 56 | 2007 |
| Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines AER ElSaid, B Wild, J Higgins, T Desell 2016 IEEE 12th International Conference on e-Science (e-Science), 260-269, 2016 | 54 | 2016 |
| An analysis of massively distributed evolutionary algorithms T Desell, DP Anderson, M Magdon-Ismail, H Newberg, BK Szymanski, ... IEEE Congress on Evolutionary Computation, 1-8, 2010 | 50 | 2010 |
| Investigating recurrent neural network memory structures using neuro-evolution A Ororbia, AER ElSaid, T Desell Proceedings of the genetic and evolutionary computation conference, 446-455, 2019 | 48 | 2019 |
| Malleable iterative MPI applications K El Maghraoui, TJ Desell, BK Szymanski, CA Varela Concurrency and Computation: Practice and Experience 21 (3), 393-413, 2009 | 45 | 2009 |
| Microwave Tomography S Noghanian, A Sabouni, T Desell, A Ashtari Springer, 2014 | 41 | 2014 |
| Maximum likelihood fitting of tidal streams with application to the sagittarius dwarf tidal tails N Cole, HJ Newberg, M Magdon-Ismail, T Desell, K Dawsey, W Hayashi, ... The Astrophysical Journal 683 (2), 750, 2008 | 40 | 2008 |
| Load Balancing of Autonomous Actors over Dynamic Networks. TJ Desell, K El Maghraoui, CA Varela HICSS 4, 90268.1, 2004 | 40 | 2004 |
| Using ant colony optimization to optimize long short-term memory recurrent neural networks AER ElSaid, FE Jamiy, J Higgins, B Wild, T Desell Proceedings of the Genetic and Evolutionary Computation Conference, 13-20, 2018 | 33 | 2018 |
| Analyzing flight data using predictive models T Desell, J Higgins, S Clachar US Patent 10,248,742, 2019 | 28 | 2019 |
| Towards a middleware framework for dynamically reconfigurable scietific computing K El Maghraoui, T Desell, BK Szymanski, JD Teresco, CA Varela Advances in Parallel Computing 14, 275-301, 2005 | 28 | 2005 |
| A spatial characterization of the Sagittarius dwarf galaxy tidal tails M Newby, N Cole, HJ Newberg, T Desell, M Magdon-Ismail, B Szymanski, ... The Astronomical Journal 145 (6), 163, 2013 | 27 | 2013 |
| An asynchronous hybrid genetic-simplex search for modeling the milky way galaxy using volunteer computing T Desell, B Szymanski, C Varela Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008 | 27 | 2008 |
| Password recovery using MPI and CUDA D Apostal, K Foerster, A Chatterjee, T Desell 2012 19th International Conference on High Performance Computing, 1-9, 2012 | 26 | 2012 |
| Evolving recurrent neural networks for time series data prediction of coal plant parameters AER ElSaid, S Benson, S Patwardhan, D Stadem, T Desell Applications of Evolutionary Computation: 22nd International Conference …, 2019 | 25 | 2019 |
Carlos VarelaProfessor of Computer Science, Rensselaer Polytechnic InstituteVerified email at cs.rpi.edu
