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Leila Bagheriye
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2020 – today
- 2024
- [j5]Mark Peelen, Leila Bagheriye, Johan Kwisthout:
Cancer Subtype Identification Through Integrating Inter and Intra Dataset Relationships in Multi-Omics Data. IEEE Access 12: 27768-27783 (2024) - [c6]Charles Theodore Kent, Leila Bagheriye, Johan Kwisthout:
Neural Population Decoding and Imbalanced Multi-Omic Datasets for Cancer Subtype Diagnosis. BIOSTEC (1) 2024: 391-403 - [i4]Charles Theodore Kent, Leila Bagheriye, Johan Kwisthout:
Neural Population Decoding and Imbalanced Multi-Omic Datasets For Cancer Subtype Diagnosis. CoRR abs/2401.10844 (2024) - [i3]Freek Hens, Mohammad Mahdi Dehshibi, Leila Bagheriye, Mahyar Shahsavari, Ana Tajadura-Jiménez:
STAL: Spike Threshold Adaptive Learning Encoder for Classification of Pain-Related Biosignal Data. CoRR abs/2407.08362 (2024) - 2023
- [j4]Simone Borsci, Ville V. Lehtola, Francesco Nex, Michael Ying Yang, Ellen-Wien Augustijn, Leila Bagheriye, Christoph Brune, Ourania Kounadi, Jamy Li, João L. R. Moreira, Joanne Van Der Nagel, Bernard P. Veldkamp, Duc Viet Le, Mingshu Wang, Fons Wijnhoven, Jelmer M. Wolterink, Raúl Zurita-Milla:
Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI Soc. 38(4): 1465-1484 (2023) - [i2]Otto van der Himst, Leila Bagheriye, Johan Kwisthout:
Bayesian Integration of Information Using Top-Down Modulated WTA Networks. CoRR abs/2308.15390 (2023) - [i1]Mark Peelen, Leila Bagheriye, Johan Kwisthout:
Cancer Subtype Identification through Integrating Inter and Intra Dataset Relationships in Multi-Omics Data. CoRR abs/2312.02195 (2023) - 2020
- [c5]Ghazanfar Ali, Leila Bagheriye, Hans A. R. Manhaeve, Hans G. Kerkhoff:
On-chip EOL Prognostics Using Data-Fusion of Embedded Instruments for Dependable MP-SoCs. ATS 2020: 1-6 - [c4]Leila Bagheriye, Ghazanfar Ali, Hans G. Kerkhoff:
Life-Time Prognostics of Dependable VLSI-SoCs using Machine-learning. IOLTS 2020: 1-4 - [c3]Ghazanfar Ali, Leila Bagheriye, Hans G. Kerkhoff:
On-Chip Embedded Instruments Data Fusion and Life-Time Prognostics of Dependable VLSI-SoCs using Machine-Learning. ISCAS 2020: 1-5
2010 – 2019
- 2019
- [j3]Leila Bagheriye, Siroos Toofan, Roghayeh Saeidi, Farshad Moradi:
Highly stable, low power FinFET SRAM cells with exploiting dynamic back-gate biasing. Integr. 65: 128-137 (2019) - 2018
- [j2]Leila Bagheriye, Siroos Toofan, Roghayeh Saeidi, Behzad Zeinali, Farshad Moradi:
A Reduced Store/Restore Energy MRAM-Based SRAM Cell for a Non-Volatile Dynamically Reconfigurable FPGA. IEEE Trans. Circuits Syst. II Express Briefs 65-II(11): 1708-1712 (2018) - [j1]Leila Bagheriye, Siroos Toofan, Roghayeh Saeidi, Farshad Moradi:
Offset-Compensated High-Speed Sense Amplifier for STT-MRAMs. IEEE Trans. Very Large Scale Integr. Syst. 26(6): 1051-1058 (2018) - [c2]Leila Bagheriye, Siroos Toofan, Roghayeh Saeidi, Farshad Moradi:
A Novel Sensing Circuit with Large Sensing Margin for Embedded Spin-Transfer Torque MRAMs. ISCAS 2018: 1-5 - 2016
- [c1]Leila Bagheriye, Roghayeh Saeidi, Siroos Toofan:
Low power and roboust FinFET SRAM cell using independent gate control. ISCAS 2016: 49-52
Coauthor Index
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last updated on 2024-08-17 23:44 CEST by the dblp team
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