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ORCIDDolly Sapra
Person information
- affiliation: University of Amsterdam, The Netherlands
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2020 – today
- 2024
[c13]Ehsan Aghapour
, Yixian Shen, Dolly Sapra, Andy D. Pimentel, Anuj Pathania:
PiQi: Partially Quantized DNN Inference on HMPSoCs. ISLPED 2024: 1-6- 2023
- [c12]Ehsan Aghapour, Dolly Sapra, Andy D. Pimentel, Anuj Pathania:
PELSI: Power-Efficient Layer-Switched Inference. RTCSA 2023: 12-17 - [c11]Dolly Sapra, Andy D. Pimentel:
Exploring Multi-core Systems with Lifetime Reliability and Power Consumption Trade-offs. SAMOS 2023: 72-87 - [i1]Daphnee Chabal, Dolly Sapra, Zoltán Ádám Mann:
On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence. CoRR abs/2302.05323 (2023) - 2022
- [j2]Dolly Sapra, Andy D. Pimentel:
Designing convolutional neural networks with constrained evolutionary piecemeal training. Appl. Intell. 52(15): 17103-17117 (2022) - [j1]Svetlana Minakova, Dolly Sapra, Todor P. Stefanov, Andy D. Pimentel:
Scenario Based Run-Time Switching for Adaptive CNN-Based Applications at the Edge. ACM Trans. Embed. Comput. Syst. 21(2): 14:1-14:33 (2022) - [c10]Ehsan Aghapour, Dolly Sapra, Andy D. Pimentel, Anuj Pathania:
CPU-GPU Layer-Switched Low Latency CNN Inference. DSD 2022: 324-331 - 2021
- [c9]Uraz Odyurt, Dolly Sapra, Andy D. Pimentel:
The Choice of AI Matters: Alternative Machine Learning Approaches for CPS Anomalies. IEA/AIE (2) 2021: 474-484 - [c8]Ilja van Ipenburg, Dolly Sapra, Andy D. Pimentel:
Exploring Cell-Based Neural Architectures for Embedded Systems. PKDD/ECML Workshops (1) 2021: 363-374 - 2020
- [c7]Dolly Sapra, Andy D. Pimentel:
An evolutionary optimization algorithm for gradually saturating objective functions. GECCO 2020: 886-893 - [c6]Dolly Sapra, Andy D. Pimentel:
Deep Learning Model Reuse and Composition in Knowledge Centric Networking. ICCCN 2020: 1-11 - [c5]Dolly Sapra, Andy D. Pimentel:
Constrained Evolutionary Piecemeal Training to Design Convolutional Neural Networks. IEA/AIE 2020: 709-721
2010 – 2019
- 2019
- [c4]Paolo Meloni, Daniela Loi, Paola Busia, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Todor P. Stefanov, Svetlana Minakova, Francesco Conti, Luca Benini, Maura Pintor, Battista Biggio, Bernhard Moser, Natalia Shepeleva, Nikos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo:
Optimization and deployment of CNNs at the edge: the ALOHA experience. CF 2019: 326-332 - 2018
- [c3]Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Bernhard Moser, Natalia Shepeleva, Francesco Conti, Luca Benini, Oscar Ripolles, David Solans, Maura Pintor, Battista Biggio, Todor P. Stefanov, Svetlana Minakova, Nikolaos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo:
ALOHA: an architectural-aware framework for deep learning at the edge. INTESA@ESWEEK 2018: 19-26 - [c2]Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Maura Pintor, Battista Biggio, Oscar Ripolles, David Solans, Francesco Conti, Luca Benini, Todor P. Stefanov, Svetlana Minakova, Bernhard Moser, Natalia Shepeleva, Michael Masin, Francesca Palumbo, Nikos Fragoulis, Ilias Theodorakopoulos:
Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project. ICM 2018: 52-55 - 2017
- [c1]Dolly Sapra, Sebastian Altmeyer:
Work-in-Progress: Design-Space Exploration of Multi-Core Processors for Safety-Critical Real-Time Systems. RTSS 2017: 360-362
Coauthor Index
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