50 results on '"Mocanu, Decebal Constantin"'
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2. List of contributors
3. Topological Insights into Sparse Neural Networks
4. Forecasting
5. A brain-inspired algorithm for training highly sparse neural networks
6. Dynamic Sparse Training for Deep Reinforcement Learning
7. Situation-Aware Drivable Space Estimation for Automated Driving
8. Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders
9. SpaceNet: Make Free Space for Continual Learning
10. Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines
11. Predicting Battery Depletion of Neighboring Wireless Sensor Nodes
12. Efficient and effective training of sparse recurrent neural networks
13. Truly Sparse Neural Networks at Scale
14. Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions
15. A Hybrid Framework Combining Vehicle System Knowledge with Machine Learning Methods for Improved Highway Trajectory Prediction
16. Novelty producing synaptic plasticity
17. Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware
18. Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance
19. Learning with delayed synaptic plasticity
20. On-Line Building Energy Optimization Using Deep Reinforcement Learning
21. Synopsis of the PhD Thesis - Network Computations in Artificial Intelligence
22. Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution
23. Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
24. Author Correction: Decentralized dynamic understanding of hidden relations in complex networks
25. Decentralized dynamic understanding of hidden relations in complex networks
26. Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines
27. Deep Learning for Quality Assessment in Live Video Streaming
28. Effect of lossy networks on stereoscopic 3D-video streams
29. Unsupervised deep learning for real-time assessment of video streaming services
30. Predictive no-reference assessment of video quality
31. A Regression Method for real-time video quality evaluation
32. Big IoT data mining for real-time energy disaggregation in buildings
33. Correlating QoE and Technical Parameters of an SAP System in an Enterprise Environment
34. A topological insight into restricted Boltzmann machines
35. An experimental survey of no-reference video quality assessment methods
36. Predictive Power Control in Wireless Sensor Networks
37. No-reference video quality measurement: added value of machine learning
38. Accuracy of No-Reference Quality Metrics in Network-impaired Video Streams
39. Redundancy Reduction in Wireless Sensor Networks via Centrality Metrics
40. Factored four way conditional restricted Boltzmann machines for activity recognition
41. Cognitive streaming on android devices
42. Cognitive no-reference video quality assessment for mobile streaming services
43. Reduced reference image quality assessment via Boltzmann Machines
44. End-to-end performance evaluation in high-speed wireless networks
45. Network performance assessment with Quality of experience benchmarks
46. Inexpensive user tracking using Boltzmann Machines
47. Deep learning for objective quality assessment of 3D images
48. Node centrality awareness via swarming effects
49. When does lower bitrate give higher quality in modern video services?
50. Instantaneous Video Quality Assessment for lightweight devices
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