Otsing - TalTech teadusportaal

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artikkel ajakirjas

Accurate detection of paroxysmal atrial fibrillation with certified-GAN and neural architecture searchAsadi, Mehdi; Poursalim, Fatemeh; Loni, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Gharehbaghi, ArashScientific Reports2023 / art. 11378, 16 p. : ill https://doi.org/10.1038/s41598-023-38541-8

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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

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Adjustable self-healing methodology for accelerated functions in heterogeneous systemsRiazati, Mohammad; Ghasempouri, Tara; Daneshtalab, Masoud; Raik, Jaan; Sjodin, Mikael; Lisper, Bjorn2020 23rd Euromicro Conference on Digital System Design (DSD), 26-28 August 2020, Kranj, Slovenia2020 / p. 638-645 https://doi.org/10.1109/DSD51259.2020.00104

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Analysing robustness of tiny deep neural networksMousavi, Hamid; Zoljodi, Ali; Daneshtalab, MasoudNew Trends in Database and Information Systems : ADBIS 2023 Short Papers, Doctoral Consortium and Workshops : DOING, K-GALS, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023 : proceedings2023 / p. 150-159 https://doi.org/10.1007/978-3-031-42941-5_14 Conference Proceedings at Scopus Article at Scopus

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Analysis and improvement of resilience for long short-term memory neural networksAhmadilivani, Mohammad Hasan; Raik, Jaan; Daneshtalab, Masoud; Kuusik, Alar2023 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)2023 https://doi.org/10.1109/DFT59622.2023.10313559

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APPRAISER : DNN fault resilience analysis employing approximation errorsTaheri, Mahdi; Ahmadilivani, Mohammad Hasan; Jenihhin, Maksim; Raik, Jaan; Daneshtalab, Masoud2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)2023 / p. 124−127 https://ddecs2023.taltech.ee/ https://doi.org//10.1109/DDECS57882.2023.10139468

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An automated configuration framework for TSN networksHoutan, Bahar; Bergström, Albert; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, Saad2021 22nd IEEE International Conference on Industrial Technology (ICIT) : proceedings2021 / p. 771-778 https://doi.org/10.1109/ICIT46573.2021.9453628

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AutoRIO : an indoor testbed for developing autonomous vehiclesLoni, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael2018 Proceedings of the Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC) : December 16-18, 2018 Alexandria, Egypt2018 / p. 69-72 : ill https://doi.org/10.1109/JEC-ECC.2018.8679543

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AVB-aware routing and scheduling for critical traffic in time-sensitive networks with preemptionBerisa, Aldin; Zhao, Luxi; Craciunas, Silviu S.; Ashjaei, Mohammad; Mubeen, Saad; Daneshtalab, Masoud; Sjödin, MikaelRTNS '22: Proceedings of the 30th International Conference on Real-Time Networks and Systems2022 / p. 207-218 https://doi.org/10.1145/3534879.3534926

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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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Comparative evaluation of various generations of Controller Area Network based on timing analysisBerisa, Aldin; Panjevic, Adis; Kovac, Imran; Lyngbäck, Hans; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, Saad2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)2023 / p. 1-8 https://doi.org//10.1109/ETFA54631.2023.10275549

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A comprehensive systematic review of integration of time sensitive networking and 5G communicationSatka, Zenepe; Ashjaei, Mohammad; Fotouhi, Hossein; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, SaadJournal of Systems Architecture2023 / art. 102852, 22 p. : ill https://doi.org/10.1016/j.sysarc.2023.102852

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Cost-effective fault tolerance for CNNs using parameter vulnerability based hardening and pruningAhmadilivani, Mohammad Hasan; Mousavi, Seyedhamidreza; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, Maksim2024 IEEE 30th International Symposium on On-line Testing and Robust System Design (IOLTS) : IOLTS 2024 : July 03rd-05th 2024, Rennes, Brittany, France2024 https://doi.org/10.1109/IOLTS60994.2024.10616072 Article at Scopus Article at WOS

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DASS: Differentiable architecture search for sparse neural networksMousavi, Hamid; Loni, Mohammad; Alibeigi, Mina; Daneshtalab, MasoudACM transactions on embedded computing systems2023 / art. 105, 21 p. : ill https://doi.org/10.1145/3609385 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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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

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DeepFlexiHLS : Deep Neural Network Flexible High-Level Synthesis Directive GeneratorRiazati, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Lisper, BjörnRiazati, M.; Daneshtalab, M.; Sjodin, M.; Lisper, B.2022 / p. 1-6 https://doi.org/10.1109/NorCAS57515.2022.9934617

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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

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DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural ArchitectureLoni, Mohammad; Zoljodi, Ali; Maier, Daniel; Majd, Amin; Daneshtalab, Masoud; Sjödin, Mikael; Juurlink, Ben H.H.; Akbari, Reza2020 IEEE Congress on Evolutionary Computation (CEC) : conference proceedings2020 / 8 p https://doi.org/10.1109/CEC48606.2020.9185611

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Designing Compact Convolutional Neural Network for Embedded Stereo Vision SystemsLoni, Mohammad; Majd, Amin; Loni, Abdolah; Daneshtalab, Masoud; Sjödin, Mikael; Troubitsyna, Elena2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip : MCSoC 2018 : proceedings2018 / p. 244–251 : ill https://doi.org/10.1109/MCSoC2018.2018.00049

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Developing a translation technique for converged TSN-5G communicationSatka, Zenepe; Pantzar, David; Magnusson, Alexander; Ashjaei, Mohammad; Fotouhi, Hossein; Sjödin, Mikael; Daneshtalab, Masoud; Mubeen, SaadCommunication in Automation : 18th IEEE International Workshop on Factory Communication Systems 2022 : WFCS 20222022 / 8 p https://doi.org/10.1109/WFCS53837.2022.9779191

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Efficient on-device transfer learning using activation memory reductionYoosefi, Amin; Mousavi, Hamid; Daneshtalab, Masoud; Kargahi, Mehdi2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC)2023 / p. 210-215 https://doi.org/10.1109/FMEC59375.2023.10306182

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ELC-ECG: efficient LSTM cell for ECG classification based on quantized architectureMirsalari, Seyed Ahmad; Nazari, Najmeh; Ansarmohammadi, Seyed Ali; Sinaei, Sima; Salehi, Mostafa E.; Daneshtalab, Masoud2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea May 22-28, 2021 : proceedings2021 / 5 p https://doi.org/10.1109/ISCAS51556.2021.9401261 Conference Proceedings at Scopus Article at Scopus Article at WOS

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End-to-end Timing Model Extraction from TSN-Aware Distributed Vehicle SoftwareHoutan, Bahar; Aybek, Mehmet Onur; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, Saad48th Euromicro Conference on Software Engineering and Advanced Applications : SEAA 2022 : proceedings2022 / p. 366-369 https://doi.org/10.1109/SEAA56994.2022.00064

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FaCT-LSTM : fast and compact ternary architecture for LSTM recurrent neural networksMirsalari, Seyed Ahmad; Nazari, Najmeh; Sinaei, Sima; Salehi, Mostafa E.; Daneshtalab, MasoudIEEE design & test2022 / p. 45-53 https://doi.org/10.1109/MDAT.2021.3070245

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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

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Daneshtalab, Masoud (autor)

teaviku laadid

autor 3

CV 2

tema kohta 1