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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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