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

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