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1

book article EST / book article ENG

AdAM: adaptive fault-tolerant approximate multiplier for edge DNN acceleratorsTaheri, Mahdi; Cherezova, Natalia; Nazari, Samira; Rafiq, Ahsan; Azarpeyvand, Ali; Ghasempouri, Tara; Daneshtalab, Masoud; Raik, Jaan; Jenihhin, Maksim2024 IEEE European Test Symposium (ETS): ETS 2024 : May 20-24, 2024, The Hague, Netherlands : proceedings2024 https://doi.org/10.1109/ETS61313.2024.10567161 Conference Proceedings at Scopus Article at Scopus Article at WOS

book article EST / book article ENG
2

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

book article
3

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
4

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
5

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
6

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
7

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
8

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
9

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
10

book article EST / book article ENG

Special session: reliability assessment recipes for DNN acceleratorsAhmadilivani, Mohammad Hasan; Bosio, Alberto; Deveautour, Bastien; Dos Santos, Fernando Fernandes; Guerrero-Balaguera, Juan-David; Jenihhin, Maksim; Kritikakou, Angeliki; Sierra, Robert Limas; Raik, Jaan; Taheri, Mahdi42nd IEEE VLSI Test Symposium, VTS 20242024 / 11 p. : ill https://doi.org/10.1109/VTS60656.2024.10538707 Conference proceedings at Scopus Article at Scopus Article at WOS

book article EST / book article ENG
11

journal article EST / journal article ENG

A systematic literature review on hardware reliability assessment methods for deep neural networksAhmadilivani, Mohammad Hasan; Taheri, Mahdi; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, MaksimACM Computing Surveys2024 / art. 141 https://doi.org/10.1145/3638242 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG
12

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 12, displaying 1 - 12

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 artificial neural networks
9. Constrained neural networks
10. convolutional neural networks
11. convolutional neural networks (CNNa)
12. Convolutional Neural Networks (CNNs)
13. Fuzzy neural networks
14. graph neural networks
15. multilayer neural networks
16. neural networks
17. pre-trained neural networks
18. recurrent neural networks
19. recurrent neural networks (RNN)
20. deep donor-deep acceptor pairs
21. deep brain stimulation
22. Deep defects
23. deep energy levels
24. deep energy renovation
25. deep eutectic solvents
26. deep fake
27. deep fake recognition
28. deep habits
29. deep heat well
30. deep inference
31. deep layer
32. deep learning
33. deep learning (DL)
34. deep learning classifier
35. deep learning method
36. deep learning model
37. deep learning model quantization
38. deep learning network
39. deep level
40. deep level traps
41. deep levels
42. deep offshore
43. deep packet inspection
44. deep reinforcement learning
45. Deep reinforcing learning SDN
46. deep renovation
47. deep understanding
48. Deep-learning
49. deep-learning (DL)
50. embedded deep learning
51. natural deep eutectic solvents
52. nZEB deep energy renovation
53. nZEB deep renovation
54. artificial neural network
55. Binarized Neural Network (BNN)
56. cascaded forward neural network (CFNN)
57. Convolutional Neural Network
58. convolutional neural network (CNN)
59. feedforward neural network (FFNN)
60. Graph Convolutional Neural Network (GCN)
61. GraphSAGE (Graph Based Neural Network)
62. human neural progenitor cells
63. linear Delta robots neural network based model
64. neural activity
65. neural additive model
66. neural architecture search
67. neural controller
68. neural development
69. neural fuzzy modelling control
70. neural machine translation
71. neural network
72. neural network architecture search
73. neural network controller
74. neural network modelling
75. neural network predictive controller
76. neural oscillations
77. neural processing unit
78. neural stimulation
79. Radial Basis Function Neural Network (RBFNN)
80. recurrent neural network language model
81. spiking neural network (SNN)
82. Ternary Neural Network
83. adaptive networks
84. ad-hoc sensor networks security
85. automotive communication networks
86. Bayesian Belief Networks
87. Bayesian networks
88. binary search networks
89. binary sensor networks
90. body area networks
91. body sensor networks
92. cellular networks
93. communication networks
94. complex networks
95. computer networks
96. content distribution networks
97. content-addressable storage networks
98. convolutional networks
99. cross-border communication networks
100. decentralized content-addressable storage (DCAS) networks
101. developmental networks
102. diffusion networks
103. digital twin networks (DTNs)
104. distribution networks
105. district heating networks
106. Dynamic networks
107. dynamics over networks
108. ecological networks
109. economic networks
110. electric power transmission networks
111. electrical distribution networks
112. electrical networks
113. embedded networks/NoC
114. gateways (computer networks)
115. generative adversarial networks
116. geodetic networks
117. global production networks
118. graph attention networks
119. graph convolutional networks
120. heating and cooling networks
121. heating networks
122. hypar-formed networks
123. IaaS cloud networks
124. Impedance-source networks
125. innovation networks
126. IP networks
127. iterative networks
128. knowledge networks
129. location-based social networks
130. logistics networks
131. low voltage networks
132. low-voltage networks
133. lumped parameter networks
134. marketing networks
135. metabolic networks and pathways
136. mobile actuator-sensor networks (MAS-Net)
137. multilayer networks
138. NB-IoT networks
139. networks
140. networks coding
141. neuro-fuzzy networks and guided missile
142. non-terrestrial networks
143. observational networks
144. on-body networks (BANs)
145. Online social networks
146. Optical fiber networks
147. optical fibre networks
148. optical networks
149. optimized routing approach for critical and emergency networks
150. optimized routing approach for critical and emergency networks simulations
151. packet switched networks
152. partner networks
153. Passive networks
154. phantom cellular networks
155. private networks
156. production networks
157. Public safety networks
158. public safety networks (PSN)
159. public safety networks (PSNs)
160. reconfigurable scan networks
161. regional innovation networks
162. scale-free networks
163. sensor networks
164. small district heating networks
165. SME networks
166. social networks
167. social networks
168. software defined networks (SDN)
169. sorting networks
170. supply networks
171. transmission networks
172. unreliable wireless networks
173. WBANs (wireless body area networks)
174. wearable wireless networks
175. wearable wireless networks (WWNs)
176. weighted networks
177. wireless ad hoc sensor networks
178. Wireless Body Area Networks
179. wireless body area networks (WBANs)
180. wireless body-to-body networks (BBN)
181. wireless networks
182. wireless sensor networks
183. virtual networks
184. 5G networks
185. 5G networks

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