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book article

Challenges in using neural networks in safety-critical applicationsForsberg, H.; Linden, Jan; Hjorth, J.; Manefjord, T.; Daneshtalab, MasoudAIAA/IEEE Digital Avionics Systems Conference - Proceedings, 2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), Virtual Conference, October 11-16, 2020 : Proceedings2020 / 7 p https://doi.org/10.1109/DASC50938.2020.9256519

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book article

Composing graph theory and deep neural networks to evaluate SEU type soft error effectsBalakrishnan, Aneesh; Lange, Thomas; Glorieux, Maximilien; Alexandrescu, Dan; Jenihhin, Maksim9th Mediterranean Conference on Embedded Computing (MECO'2020), Budva, Montenegro, 8-11 June 20202020 https://doi.org/10.1109/MECO49872.2020.9134279

book article
Seotud publikatsioonid 1
- A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
3

book article EST / book article ENG

Data augmentation and teacher-student training for LF-MMI based robust speech recognitionUllah, Asad; Alumäe, TanelText, Speech, and Dialogue : 21st International Conference, TSD 2018, Brno, Czech Republic, September 11-14, 2018 : proceedings2018 / p. 403-410 https://doi.org/10.1007/978-3-030-00794-2_43 Conference Proceedings at Scopus Article at Scopus Article at WOS

book article EST / book article ENG
4

journal article

DeepAxe : a framework for exploration of approximation and reliability trade-offs in DNN acceleratorsTaheri, Mahdi; Riazati, Mohamad; Ahmadilivani, Mohammad Hasan; Jenihhin, Maksim; Daneshtalab, Masoud; Raik, Jaan; Sjödin, Mikael; Lisper, BjörnarXiv.org2023 / 8 p. : ill https://doi.org/10.48550/arXiv.2303.08226

journal article
5

book article

DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGARiazati, Mohammad; Daneshtalab, Masoud; Sjodin, Mikael; Lisper, BjornICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, November 23-25, 2020, Virtual Conference : Proceedings2020 / 4 p https://doi.org/10.1109/ICECS49266.2020.9294881

book article
6

book article EST / book article ENG

FARMUR: fair adversarial retraining to mitigate unfairness in robustnessMousavi, Seyed Ali; Mousavi, Hamid; Daneshtalab, MasoudAdvances in Databases and Information Systems: 27th European Conference, ADBIS 2023, Barcelona, Spain, September 4–7, 2023 : proceedings2023 / p. 133-145 https://doi.org/10.1007/978-3-031-42914-9_10 Conference proceedings at Scopus Article at Scopus

book article EST / book article ENG
7

book article

Gate-level graph representation learning : a step towards the improved stuck-at faults analysisBalakrishnan, Aneesh; Alexandrescu, Dan; Jenihhin, Maksim; Lange, Thomas; Glorieux, MaximilienProceedings of the Twenty Second International Symposium on Quality Electronic Design (ISQED) : Santa Clara, USA, 7-9 April 20212021 / p. 24-30 https://doi.org/10.1109/ISQED51717.2021.9424256

book article
Seotud publikatsioonid 1
- A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
8

book article EST / book article ENG

Special session: approximation and fault resiliency of DNN acceleratorsAhmadilivani, Mohammad Hasan; Barbareschi, Mario; Barone, Salvatore; Bosio, Alberto; Daneshtalab, Masoud; Torca, Salvatore Della; Gavarini, Gabriele; Jenihhin, Maksim; Raik, Jaan; Taheri, MahdiProceedings 2023 IEEE 41st VLSI Test Symposium (VTS)2023 / 10 p. : ill https://doi.org/10.1109/VTS56346.2023.10140043 Conference proceeding at Scopus Article at Scopus Article at WOS

book article EST / book article ENG
9

book article EST / book article ENG

ZED-TTE: Zone embedding and deep neural network based travel time estimation approachOunoughi, Chahinez; Yeferny, Taoufik; Ben Yahia, Sadok2021 International Joint Conference on Neural Networks (IJCNN) : proceedings2021 / 10 p https://doi.org/10.1109/IJCNN52387.2021.9533456 Conference Proceedings at Scopus Article at Scopus Article at WOS

book article EST / book article ENG

Number of records 9, displaying 1 - 9

1. deep neural networks
2. deep neural networks (DNNs)
3. deep convolutional neural network
4. deep neural network
5. deep neural network compression
6. artificial neural networks
7. artificial neural networks (ANN)
8. Constrained neural networks
9. convolutional neural networks
10. convolutional neural networks (CNNa)
11. Convolutional Neural Networks (CNNs)
12. Fuzzy neural networks
13. neural networks
14. pre-trained neural networks
15. recurrent neural networks
16. recurrent neural networks (RNN)
17. deep donor-deep acceptor pairs
18. deep brain stimulation
19. Deep defects
20. deep energy levels
21. deep energy renovation
22. deep eutectic solvents
23. deep fake
24. deep fake recognition
25. deep habits
26. deep heat well
27. deep inference
28. deep layer
29. deep learning
30. deep learning (DL)
31. deep learning classifier
32. deep learning model
33. deep learning model quantization
34. deep learning network
35. deep level
36. deep level traps
37. deep levels
38. deep offshore
39. deep packet inspection
40. deep reinforcement learning
41. Deep reinforcing learning SDN
42. deep renovation
43. deep understanding
44. Deep-learning
45. deep-learning (DL)
46. embedded deep learning
47. natural deep eutectic solvents
48. nZEB deep energy renovation
49. nZEB deep renovation
50. artificial neural network
51. Binarized Neural Network (BNN)
52. cascaded forward neural network (CFNN)
53. Convolutional Neural Network
54. convolutional neural network (CNN)
55. feedforward neural network (FFNN)
56. Graph Convolutional Neural Network (GCN)
57. GraphSAGE (Graph Based Neural Network)
58. human neural progenitor cells
59. linear Delta robots neural network based model
60. neural activity
61. neural architecture search
62. neural controller
63. neural development
64. neural fuzzy modelling control
65. neural network
66. neural network architecture search
67. neural network controller
68. neural network predictive controller
69. neural oscillations
70. neural processing unit
71. neural stimulation
72. Radial Basis Function Neural Network (RBFNN)
73. recurrent neural network language model
74. spiking neural network (SNN)
75. Ternary Neural Network
76. adaptive networks
77. ad-hoc sensor networks security
78. automotive communication networks
79. Bayesian Belief Networks
80. Bayesian networks
81. binary search networks
82. binary sensor networks
83. body area networks
84. body sensor networks
85. cellular networks
86. communication networks
87. complex networks
88. computer networks
89. content distribution networks
90. content-addressable storage networks
91. convolutional networks
92. cross-border communication networks
93. developmental networks
94. diffusion networks
95. digital twin networks (DTNs)
96. distribution networks
97. district heating networks
98. Dynamic networks
99. dynamics over networks
100. ecological networks
101. economic networks
102. electric power transmission networks
103. electrical distribution networks
104. electrical networks
105. embedded networks/NoC
106. gateways (computer networks)
107. generative adversarial networks
108. geodetic networks
109. global production networks
110. heating networks
111. hypar-formed networks
112. IaaS cloud networks
113. Impedance-source networks
114. innovation networks
115. IP networks
116. iterative networks
117. knowledge networks
118. location-based social networks
119. logistics networks
120. low voltage networks
121. low-voltage networks
122. lumped parameter networks
123. marketing networks
124. metabolic networks and pathways
125. mobile actuator-sensor networks (MAS-Net)
126. multilayer networks
127. NB-IoT networks
128. networks
129. networks coding
130. neuro-fuzzy networks and guided missile
131. non-terrestrial networks
132. observational networks
133. on-body networks (BANs)
134. Online social networks
135. Optical fiber networks
136. optical fibre networks
137. optical networks
138. optimized routing approach for critical and emergency networks
139. optimized routing approach for critical and emergency networks simulations
140. packet switched networks
141. partner networks
142. Passive networks
143. phantom cellular networks
144. private networks
145. production networks
146. Public safety networks
147. public safety networks (PSN)
148. public safety networks (PSNs)
149. reconfigurable scan networks
150. regional innovation networks
151. scale-free networks
152. sensor networks
153. small district heating networks
154. SME networks
155. social networks
156. social networks
157. software defined networks (SDN)
158. sorting networks
159. supply networks
160. transmission networks
161. unreliable wireless networks
162. WBANs (wireless body area networks)
163. wearable wireless networks
164. wearable wireless networks (WWNs)
165. weighted networks
166. wireless ad hoc sensor networks
167. Wireless Body Area Networks
168. wireless body area networks (WBANs)
169. wireless body-to-body networks (BBN)
170. wireless sensor networks
171. virtual networks
172. 5G networks
173. 5G networks

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