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Dolly Sapra
Person information
- affiliation: University of Amsterdam, The Netherlands
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2020 – today
- 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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