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Filters: Author is Dario Pompili  [Clear All Filters]
2016
X. Zhao and Pompili, D., BD-ZCS: Multi-cell Interference Coordination via Zadoff-Chu Sequence-based Block Diagonalization, Proc. of IEEE International Conference on Computer Communications (INFOCOM). IEEE, San Francisco, CA, USA, 2016.
M. - P. Hosseini, Soltanian-Zadeh, H., Elisevich, K., and Pompili, D., Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction, Proc. of IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, Greater Washington, D.C., USA, 2016.
M. - P. Hosseini, Nazem-Zadeh, M. R., Pompili, D., Jafari-Khouzani, K., Elisevich, K., and Soltanian-Zadeh, H., Comparative Performance Evaluation of Automated Segmentation Methods of Hippocampus from Magnetic Resonance Images of Temporal Lobe Epilepsy Patients, Medical Physics Journal, vol. 43, no. 1, pp. 538-553, 2016.PDF icon 1.4938411.pdf (13.44 MB)
X. Zhao, Sadhu, V., and Pompili, D., Low-Power All-Analog Circuit for Rectangular-Type Analog Joint Source Channel Coding, Proc of IEEE International Symposium on Circuits & Systems (ISCAS). IEEE, Montreal, Canada, 2016.PDF icon PID4097001.pdf (419.12 KB)
P. Pandey and Pompili, D., MobiDiC: Exploiting the Untapped Potential of Mobile Distributed Computing via Approximation, Proc. of IEEE International Conference on Pervasive Computing and Communications (PerCom). Sydney, Australia, 2016.
E. K. Lee, Viswanathan, H., and Pompili, D., Model-based Thermal Anomaly Detection in Cloud Datacenters using Thermal Imaging, IEEE Transaction on Cloud Computing (TCC), 2016.
E. K. Lee, Viswanathan, H., and Pompili, D., Proactive Thermal-aware Resource Management in Virtualized HPC Cloud Datacenters, IEEE Transaction on Cloud Computing (TCC), 2016.
M. - P. Hosseini, Hajisami, A., and Pompili, D., Real-time Epileptic Seizure Detection from EEG Signals via Random Subspace Ensemble Learning, Proc. of IEEE International Conference on Autonomic Computing (ICAC). IEEE, Wurzburg, Germany, 2016.PDF icon ICAC2016.pdf (541.13 KB)
E. K. Lee, Viswanathan, H., and Pompili, D., RescueNet: Reinforcement-learning-based communication framework for emergency networking, Computer Networks (Elsevier), vol. 98, pp. 14-28, 2016.PDF icon CompNet_RescueNet_Lee.pdf (2.54 MB)

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