272 results on '"Spanias, Andreas"'
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2. Investigating a Quantum Cloud Paradigm with Quantum Neural Networks
3. Signal Analysis-Synthesis Using the Quantum Fourier Transform
4. Real-time Solar Array Data Acquisition and Fault Detection using Neural Networks
5. Undergraduate Research and Education in Quantum Machine Learning
6. Implementation and Analysis of Quantum Homomorphic Encryption
7. Quantum Machine Learning for Photovoltaic Topology Optimization
8. Distributed Consensus based COVID-19 Hotspot Density Estimation
9. Quantum Machine Learning for Audio Classification with Applications to Healthcare
10. The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning
11. Predicting the Generalization Gap in Deep Models using Anchoring
12. Distributed Edge Counting for Wireless Sensor Networks
13. COVID-19 Detection using Audio Spectral Features and Machine Learning
14. Research Experiences for Teachers in Machine Learning
15. Experiences with Web-based Signal Analysis Laboratories and Online Training during the COVID-19 Period
16. On the Design of Deep Priors for Unsupervised Audio Restoration
17. Bayesian Optimization in High-Dimensional Spaces: A Brief Survey
18. Quantum Neural Network Parameter Estimation for Photovoltaic Fault Detection
19. PV Array Soiling Detection using Machine Learning
20. Quantum Information Processing Algorithms with Emphasis on Machine Learning
21. Deep Learning with hyper-parameter tuning for COVID-19 Cough Detection
22. Using Deep Image Priors to Generate Counterfactual Explanations
23. Deep Learning Based MIMO Channel Prediction: An Initial Proof of Concept Prototype
24. Unsupervised Audio Source Separation Using Generative Priors
25. Design and FPGA Implementation of an Adaptive video Subsampling Algorithm for Energy-Efficient Single Object Tracking
26. Machine Learning Workforce Development Programs on Health and COVID-19 Research
27. Real-Time Adaptive Noise and Echo Cancellation on a Compact Microcontroller
28. Deep Learning Networks for Vectorized Energy Load Forecasting
29. Fault Classification in Photovoltaic Arrays Using Graph Signal Processing
30. Machine Learning For Fast Short-Term Energy Load Forecasting
31. A Regularized Attention Mechanism for Graph Attention Networks
32. Distributed Spectral Radius Estimation in Wireless Sensor Networks
33. Global Optimization of Graph Filters with Multiple Shift Matrices
34. A Modified Logistic Regression for Positive and Unlabeled Learning
35. Adaptive Video Subsampling For Energy-Efficient Object Detection
36. Introducing Machine Learning in a Sophomore Signals and Systems Course
37. An REU Experience in Machine Learning and Computational Cameras
38. Spatially-Varying Sharpness Map Estimation Based on the Quotient of Spectral Bands
39. Formation-aware Cloud Segmentation of Ground-based Images with Applications to PV Systems
40. PV Array Fault Detection using Radial Basis Networks
41. Positive And Unlabeled Learning Algorithms And Applications: A Survey
42. Distributed Bayesian Estimation with Low-rank Data: Application to Solar Array Processing
43. Graph Filtering with Multiple Shift Matrices
44. Introducing Machine Learning in Undergraduate DSP Classes
45. Solar Array Fault Detection using Neural Networks
46. Designing an Effective Metric Learning Pipeline for Speaker Diarization
47. Connection Topology Optimization in Photovoltaic Arrays using Neural Networks
48. Online Machine Learning Experiments in HTML5
49. Fast Non-Linear Methods for Dynamic Texture Prediction
50. Max Consensus in the Presence of Additive Noise
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