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deep neural networks (võtmesõna)
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1
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AdAM: Adaptive Approximate Multiplier for Fault Tolerance in DNN Accelerators
Taheri, Mahdi
;
Cherezova, Natalia
;
Nazari, Samira
;
Azarpeyvand, Ali
;
Ghasempouri, Tara
;
Daneshtalab, Masoud
;
Raik, Jaan
;
Jenihhin, Maksim
IEEE transactions on device and materials reliability
2024
/
p. 66-75 : ill
https://doi.org//10.1109/TDMR.2024.3523386
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Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
2
artikkel kogumikus EST
/
artikkel kogumikus ENG
AdAM: adaptive fault-tolerant approximate multiplier for edge DNN accelerators
Taheri, Mahdi
;
Cherezova, Natalia
;
Nazari, Samira
;
Rafiq, Ahsan
;
Azarpeyvand, Ali
;
Ghasempouri, Tara
;
Daneshtalab, Masoud
;
Raik, Jaan
;
Jenihhin, Maksim
2024 IEEE European Test Symposium (ETS): ETS 2024 : May 20-24, 2024, The Hague, Netherlands : proceedings
2024
https://doi.org/10.1109/ETS61313.2024.10567161
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Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
3
artikkel kogumikus
Challenges in using neural networks in safety-critical applications
Forsberg, H.
;
Linden, Jan
;
Hjorth, J.
;
Manefjord, T.
;
Daneshtalab, Masoud
AIAA/IEEE Digital Avionics Systems Conference - Proceedings,
2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), Virtual Conference, October 11-16, 2020 : Proceedings
2020
/
7 p
https://doi.org/10.1109/DASC50938.2020.9256519
artikkel kogumikus
4
artikkel kogumikus
Composing graph theory and deep neural networks to evaluate SEU type soft error effects
Balakrishnan, Aneesh
;
Lange, Thomas
;
Glorieux, Maximilien
;
Alexandrescu, Dan
;
Jenihhin, Maksim
9th Mediterranean Conference on Embedded Computing (MECO'2020), Budva, Montenegro, 8-11 June 2020
2020
https://doi.org/10.1109/MECO49872.2020.9134279
artikkel kogumikus
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
5
artikkel kogumikus EST
/
artikkel kogumikus ENG
Data augmentation and teacher-student training for LF-MMI based robust speech recognition
Ullah, Asad
;
Alumäe, Tanel
Text, Speech, and Dialogue : 21st International Conference, TSD 2018, Brno, Czech Republic, September 11-14, 2018 : proceedings
2018
/
p. 403-410
https://doi.org/10.1007/978-3-030-00794-2_43
Conference Proceedings at Scopus
Article at Scopus
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artikkel kogumikus EST
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artikkel kogumikus ENG
6
artikkel kogumikus
DeepAxe : a framework for exploration of approximation and reliability trade-offs in DNN accelerators
Taheri, Mahdi
;
Riazati, Mohamad
;
Ahmadilivani, Mohammad Hasan
;
Jenihhin, Maksim
;
Daneshtalab, Masoud
;
Raik, Jaan
;
Sjödin, Mikael
;
Lisper, Björn
2023 24th International Symposium on Quality Electronic Design (ISQED)
2023
/
8 p. : ill
https://doi.org/10.1109/ISQED57927.2023.10129353
artikkel kogumikus
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
7
artikkel kogumikus
DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGA
Riazati, Mohammad
;
Daneshtalab, Masoud
;
Sjodin, Mikael
;
Lisper, Bjorn
ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, November 23-25, 2020, Virtual Conference : Proceedings
2020
/
4 p
https://doi.org/10.1109/ICECS49266.2020.9294881
artikkel kogumikus
8
artikkel kogumikus EST
/
artikkel kogumikus ENG
Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN Accelerators
Taheri, Mahdi
;
Cherezova, Natalia
;
Ansari, Mohammad Saeed
;
Jenihhin, Maksim
;
Mahani, Ali
;
Daneshtalab, Masoud
;
Raik, Jaan
Proceedings of the Twenty Fifth International Symposium on Quality ElectronicDesign : ISQED 2024
2024
/
8 p. : ill
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10528372
https://doi.org/10.1109/ISQED60706.2024.10528372
Conference proceedings at Scopus
Article at Scopus
Article at WOS
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artikkel kogumikus ENG
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
9
artikkel kogumikus EST
/
artikkel kogumikus ENG
FARMUR: fair adversarial retraining to mitigate unfairness in robustness
Mousavi, Seyed Ali
;
Mousavi, Hamid
;
Daneshtalab, Masoud
Advances in Databases and Information Systems: 27th European Conference, ADBIS 2023, Barcelona, Spain, September 4–7, 2023 : proceedings
2023
/
p. 133-145
https://doi.org/10.1007/978-3-031-42914-9_10
Conference proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
10
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
FORTALESA: Fault-tolerant reconfigurable systolic array for DNN inference
Cherezova, Natalia
;
Jutman, Artur
;
Jenihhin, Maksim
Microprocessors and Microsystems
2025
/
art. 105222
https://doi.org/10.1016/j.micpro.2025.105222
Journal metrics at Scopus
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artikkel ajakirjas EST
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artikkel ajakirjas ENG
11
artikkel kogumikus EST
/
artikkel kogumikus ENG
FORTUNE: A Negative Memory Overhead Hardware-Agnostic Fault TOleRance TechniqUe in DNNs
Nazari, Samira
;
Taheri, Mahdi
;
Azarpeyvand, Ali
;
Afsharchi, Mohsen
;
Ghasempouri, Tara
;
Herglotz, Christian
;
Daneshtalab, Masoud
;
Jenihhin, Maksim
2024 IEEE 33rd Asian Test Symposium (ATS)
2024
/
p. 1-6 : ill
https://doi.org//10.1109/ATS64447.2024.10915463
Conference proceedings at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
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artikkel kogumikus ENG
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
12
artikkel kogumikus
Gate-level graph representation learning : a step towards the improved stuck-at faults analysis
Balakrishnan, Aneesh
;
Alexandrescu, Dan
;
Jenihhin, Maksim
;
Lange, Thomas
;
Glorieux, Maximilien
Proceedings of the Twenty Second International Symposium on Quality Electronic Design (ISQED) : Santa Clara, USA, 7-9 April 2021
2021
/
p. 24-30
https://doi.org/10.1109/ISQED51717.2021.9424256
artikkel kogumikus
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
13
artikkel kogumikus
GENIE: GENetIc Algorithm-Based REliability Assessment Methodology for Deep Neural Networks
Nazari, Samira
;
Taheri, Mahdi
;
Azarpeyvand, Ali
;
Afsharchi, Mohsen
;
Herglotz, Christian
;
Jenihhin, Maksim
2025 11th International Conference on Computing and Artificial Intelligence : ICCAI 2025 : 28-31 March 2025, Kyoto, Japan : proceedings
2025
/
p. 264-271
https://doi.org/10.1109/ICCAI66501.2025.00049
Article at Scopus
artikkel kogumikus
14
artikkel kogumikus EST
/
artikkel kogumikus ENG
Heterogeneous Approximation of DNN HW Accelerators based on Channels Vulnerability
Cherezova, Natalia
;
Pappalardo, Salvatore
;
Taheri, Mahdi
;
Ahmadilivani, Mohammad Hasan
;
Deveautour, Bastien
;
Bosio, Alberto
;
Raik, Jaan
;
Jenihhin, Maksim
2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC)
2024
/
4 p. : ill
https://doi.org//10.1109/VLSI-SoC62099.2024.10767798
Conference proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
15
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Reliability-Aware Hyperparameter Optimization for ANN-to-SNN Conversion
Sharifian, Saeed
;
Taheri, Mahdi
;
Rashtchi, Vahid
;
Azarpeyvand, Ali
;
Herglotz, Christian
;
Jenihhin, Maksim
Works in Progress in Embedded Computing Journal WiPiEC Journal
2025
/
p. 1-7
https://doi.org/10.64552/wipiec.v11i1.85
https://www.wipiec.digitalheritage.me/index.php/wipiecjournal/article/view/85
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
16
artikkel kogumikus EST
/
artikkel kogumikus ENG
RL-agent-based early-exit DNN architecture search framework
Taheri, Mahdi
;
Patne, Parth
;
Cherezova, Natalia
;
Mahani, Ali
;
Herglotz, Christian
;
Jenihhin, Maksim
2025 IEEE 28th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS 2025), Lyon, France, 5-7 May 2025
2025
/
p. 145-148
https://doi.org/10.1109/DDECS63720.2025.11006795
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
17
artikkel kogumikus
SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators
Taheri, Mahdi
;
Daneshtalab, Masoud
;
Raik, Jaan
;
Jenihhin, Maksim
;
Pappalardo, Salvatore
;
Jimenez, Paul
;
Deveautour, Bastien
;
Bosio, Alberto
2024 27th International Symposium on Design & Diagnostics of Electronic Circuits & Systems (DDECS) : 03-05 April 2024, Kielce, Poland
2024
/
p. 19–24 : ill
https://doi.org/10.1109/DDECS60919.2024.10508925
Article at Scopus
Article at WOS
artikkel kogumikus
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
18
artikkel kogumikus EST
/
artikkel kogumikus ENG
Special session : approximation and fault resiliency of DNN accelerators
Ahmadilivani, Mohammad Hasan
;
Barbareschi, Mario
;
Barone, Salvatore
;
Bosio, Alberto
;
Daneshtalab, Masoud
;
Torca, Salvatore Della
;
Gavarini, Gabriele
;
Jenihhin, Maksim
;
Raik, Jaan
;
Taheri, Mahdi
2023 IEEE 41st VLSI Test Symposium (VTS) : proceedings
2023
/
10 p. : ill
https://doi.org/10.1109/VTS56346.2023.10140043
Conference proceeding at Scopus
Article at Scopus
Article at WOS
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artikkel kogumikus ENG
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
19
artikkel kogumikus EST
/
artikkel kogumikus ENG
Special session: reliability assessment recipes for DNN accelerators
Ahmadilivani, Mohammad Hasan
;
Bosio, Alberto
;
Deveautour, Bastien
;
Dos Santos, Fernando Fernandes
;
Guerrero-Balaguera, Juan-David
;
Jenihhin, Maksim
;
Kritikakou, Angeliki
;
Sierra, Robert Limas
;
Raik, Jaan
;
Taheri, Mahdi
42nd IEEE VLSI Test Symposium, VTS 2024 : proceedings
2024
/
11 p. : ill
https://doi.org/10.1109/VTS60656.2024.10538707
Conference proceedings at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
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artikkel kogumikus ENG
Seotud publikatsioonid
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
20
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
A systematic literature review on hardware reliability assessment methods for deep neural networks
Ahmadilivani, Mohammad Hasan
;
Taheri, Mahdi
;
Raik, Jaan
;
Daneshtalab, Masoud
;
Jenihhin, Maksim
ACM Computing Surveys
2024
/
art. 141, 39 p. : ill
https://doi.org/10.1145/3638242
Journal metrics at Scopus
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Article at WOS
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Seotud publikatsioonid
2
Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
21
artikkel kogumikus EST
/
artikkel kogumikus ENG
ZED-TTE: Zone embedding and deep neural network based travel time estimation approach
Ounoughi, Chahinez
;
Yeferny, Taoufik
;
Ben Yahia, Sadok
2021 International Joint Conference on Neural Networks (IJCNN) : proceedings
2021
/
10 p
https://doi.org/10.1109/IJCNN52387.2021.9533456
Conference Proceedings at Scopus
Article at Scopus
Article at WOS
artikkel kogumikus EST
/
artikkel kogumikus ENG
22
artikkel kogumikus EST
/
artikkel kogumikus ENG
Underwater Soft Fin Flapping Motion with Deep Neural Network Based Surrogate Model
Hamamatsu, Yuya
;
Kupyn, Pavlo
;
Gkliva, Roza
;
Ristolainen, Asko
;
Kruusmaa, Maarja
2025 IEEE 8th International Conference on Soft Robotics (RoboSoft)
2025
/
6 p. : ill
https://doi.org/10.1109/RoboSoft63089.2025.11020964
Article at Scopus
Article at WOS
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artikkel kogumikus ENG
Kirjeid leitud 22, kuvan
1 - 22
võtmesõna
225
1.
deep neural networks
2.
deep neural networks (DNNs)
3.
deep convolutional neural network
4.
deep neural network
5.
deep neural network compression
6.
deep Q networks
7.
artificial neural networks
8.
artificial neural networks (ANN)
9.
Biological neural networks
10.
Complex-valued neural networks
11.
constrained artificial neural networks
12.
Constrained neural networks
13.
convolutional neural networks
14.
convolutional neural networks (CNNa)
15.
Convolutional Neural Networks (CNNs)
16.
Fuzzy neural networks
17.
graph neural networks
18.
multilayer neural networks
19.
neural networks
20.
neural-networks
21.
pre-trained neural networks
22.
recurrent neural networks
23.
recurrent neural networks (RNN)
24.
recurrent neural networks (RNNs)
25.
Shallow neural networks
26.
spiking neural networks
27.
deep donor-deep acceptor pairs
28.
deep brain stimulation
29.
Deep defects
30.
deep energy levels
31.
deep energy renovation
32.
deep eutectic solvents
33.
deep fake
34.
deep fake recognition
35.
deep habits
36.
deep heat well
37.
deep inference
38.
deep layer
39.
deep learning
40.
deep learning (DL)
41.
deep learning classifier
42.
deep learning method
43.
deep learning methods
44.
deep learning model
45.
deep learning model quantization
46.
deep learning network
47.
deep level
48.
deep level traps
49.
deep levels
50.
deep offshore
51.
deep packet inspection
52.
deep Q-network
53.
deep reinforcement learning
54.
Deep reinforcing learning SDN
55.
deep renovation
56.
deep sets
57.
deep understanding
58.
deep UV emission
59.
Deep-learning
60.
deep-learning (DL)
61.
deep-sea mining
62.
deep-tech
63.
double deep Q-network
64.
embedded deep learning
65.
Multi-agent deep reinforcement learning
66.
natural deep eutectic solvents
67.
naturally available deep eutectic solvents
68.
nZEB deep energy renovation
69.
nZEB deep renovation
70.
artificial neural network
71.
back propagation neural network
72.
Binarized Neural Network (BNN)
73.
cascaded forward neural network (CFNN)
74.
Convolutional Neural Network
75.
convolutional neural network (CNN)
76.
feedforward neural network (FFNN)
77.
Graph Convolutional Neural Network (GCN)
78.
GraphSAGE (Graph Based Neural Network)
79.
human neural progenitor cells
80.
linear Delta robots neural network based model
81.
LSTM neural network
82.
neural activity
83.
neural additive model
84.
neural architecture search
85.
neural controller
86.
neural development
87.
neural fuzzy modelling control
88.
neural machine translation
89.
neural net
90.
neural net architecture
91.
neural network
92.
neural network architecture search
93.
neural network controller
94.
neural network modelling
95.
neural network models
96.
neural network positioning algorithms
97.
neural network predictive controller
98.
neural oscillations
99.
neural processing unit
100.
neural stimulation
101.
Radial Basis Function Neural Network (RBFNN)
102.
Recurrent Neural Network
103.
recurrent neural network language model
104.
Residual Neural Network
105.
spiking neural network (SNN)
106.
Ternary Neural Network
107.
transformer-based neural network
108.
active distributed networks
109.
adaptive networks
110.
ad-hoc sensor networks security
111.
automotive communication networks
112.
Bayesian Belief Networks
113.
Bayesian networks
114.
binary search networks
115.
binary sensor networks
116.
body area networks
117.
body sensor networks
118.
cellular networks
119.
chemical reaction networks
120.
communication networks
121.
communications engineering, networks
122.
complex networks
123.
computer networks
124.
content distribution networks
125.
content-addressable storage networks
126.
convolutional networks
127.
coupled networks
128.
cross-border communication networks
129.
decentralized content-addressable storage (DCAS) networks
130.
developmental networks
131.
diffusion networks
132.
digital twin networks (DTNs)
133.
distribution networks
134.
district heating networks
135.
Dynamic networks
136.
Dynamics of networks
137.
dynamics over networks
138.
ecological networks
139.
economic networks
140.
electric power transmission networks
141.
electrical distribution networks
142.
electrical networks
143.
embedded networks/NoC
144.
fiber optic networks
145.
gateways (computer networks)
146.
generative adversarial networks
147.
geodetic networks
148.
global production networks
149.
graph attention networks
150.
graph convolutional networks
151.
heating and cooling networks
152.
heating networks
153.
hybrid networks
154.
hypar-formed networks
155.
IaaS cloud networks
156.
Impedance-source networks
157.
innovation networks
158.
IP networks
159.
iterative networks
160.
knowledge networks
161.
location-based social networks
162.
logistics networks
163.
Long Short-Term Memory Networks (LSTMs)
164.
low voltage networks
165.
low-voltage networks
166.
LSTM networks
167.
lumped parameter networks
168.
marketing networks
169.
metabolic networks and pathways
170.
mobile actuator-sensor networks (MAS-Net)
171.
multilayer networks
172.
NB-IoT networks
173.
networks
174.
networks coding
175.
neuro-fuzzy networks and guided missile
176.
non-terrestrial networks
177.
observational networks
178.
Ocean Observing Networks
179.
on-body networks (BANs)
180.
Online social networks
181.
Optical fiber networks
182.
optical fibre networks
183.
optical networks
184.
optimized routing approach for critical and emergency networks
185.
optimized routing approach for critical and emergency networks simulations
186.
packet switched networks
187.
partner networks
188.
Passive networks
189.
phantom cellular networks
190.
private networks
191.
production networks
192.
protein networks
193.
Public safety networks
194.
public safety networks (PSN)
195.
public safety networks (PSNs)
196.
radio access networks
197.
reconfigurable scan networks
198.
regional innovation networks
199.
scale-free networks
200.
sensor networks
201.
small district heating networks
202.
SME networks
203.
social networks
204.
social networks
205.
software defined networks (SDN)
206.
sorting networks
207.
supply networks
208.
transmission networks
209.
unreliable wireless networks
210.
WBANs (wireless body area networks)
211.
wearable wireless networks
212.
wearable wireless networks (WWNs)
213.
weighted networks
214.
wireless ad hoc sensor networks
215.
Wireless Body Area Networks
216.
wireless body area networks (WBANs)
217.
wireless body-to-body networks (BBN)
218.
wireless mesh networks
219.
wireless networks
220.
wireless sensor networks
221.
wireless sensor networks (WSN)
222.
virtual networks
223.
5G networks
224.
5G networks
225.
5G nomadic networks
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