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ORCIDMário Almeida
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2020 – today
- 2024
[j3]Stylianos I. Venieris
, Mário Almeida, Royson Lee, Nicholas D. Lane:
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution. IEEE Trans. Mob. Comput. 23(3): 2367-2381 (2024)- 2022
- [j2]Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane:
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. ACM Trans. Embed. Comput. Syst. 21(6): 71:1-71:24 (2022) - [i9]Stylianos I. Venieris, Mário Almeida, Royson Lee, Nicholas D. Lane:
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution. CoRR abs/2212.09501 (2022) - 2021
- [c14]Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane:
Smart at what cost?: characterising mobile deep neural networks in the wild. Internet Measurement Conference 2021: 658-672 - [c13]Stefanos Laskaridis, Dimitris Spathis, Mário Almeida:
Federated mobile sensing for activity recognition. MobiCom 2021: 858-859 - [c12]Samuel Horváth, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane:
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. NeurIPS 2021: 12876-12889 - [i8]Samuel Horváth, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane:
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. CoRR abs/2102.13451 (2021) - [i7]Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane:
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. CoRR abs/2104.09949 (2021) - [i6]Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane:
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild. CoRR abs/2109.13963 (2021) - 2020
- [c11]Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida, Ilias Leontiadis, Nicholas D. Lane:
SPINN: synergistic progressive inference of neural networks over device and cloud. MobiCom 2020: 37:1-37:15 - [i5]Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida, Ilias Leontiadis, Nicholas D. Lane:
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud. CoRR abs/2008.06402 (2020)
2010 – 2019
- 2019
- [i4]Mário Almeida, Stefanos Laskaridis, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane:
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices. CoRR abs/1905.07346 (2019) - [i3]Mário Almeida, Liang Wang, Jeremy Blackburn, Konstantina Papagiannaki, Jon Crowcroft:
Diffusing Your Mobile Apps: Extending In-Network Function Virtualization to Mobile Function Offloading. CoRR abs/1906.06240 (2019) - 2018
- [b1]Mário Almeida:
Elastic phone: towards detecting and mitigating computation and energy inefficiencies in mobile apps. Polytechnic University of Catalonia, Spain, 2018 - [c10]Lucky Onwuzurike, Mário Almeida, Enrico Mariconti, Jeremy Blackburn, Gianluca Stringhini, Emiliano De Cristofaro:
A Family of Droids-Android Malware Detection via Behavioral Modeling: Static vs Dynamic Analysis. PST 2018: 1-10 - [c9]Mário Almeida, Muhammad Bilal, Alessandro Finamore, Ilias Leontiadis, Yan Grunenberger, Matteo Varvello, Jeremy Blackburn:
CHIMP: Crowdsourcing Human Inputs for Mobile Phones. WWW 2018: 45-54 - [i2]Lucky Onwuzurike, Mário Almeida, Enrico Mariconti, Jeremy Blackburn, Gianluca Stringhini, Emiliano De Cristofaro:
A Family of Droids: Analyzing Behavioral Model based Android Malware Detection via Static and Dynamic Analysis. CoRR abs/1803.03448 (2018) - 2017
- [c8]Mário Almeida, Alessandro Finamore, Diego Perino, Narseo Vallina-Rodriguez, Matteo Varvello:
Dissecting DNS Stakeholders in Mobile Networks. CoNEXT 2017: 28-34 - 2016
- [c7]Liang Wang, Mário Almeida, Jeremy Blackburn, Jon Crowcroft:
C3PO: Computation Congestion Control (PrOactive). ICN 2016: 231-236 - [c6]Mário Almeida, Muhammad Bilal, Jeremy Blackburn, Konstantina Papagiannaki:
An Empirical Study of Android Alarm Usage for Application Scheduling. PAM 2016: 373-384 - [c5]Zafar Gilani, Liang Wang, Jon Crowcroft, Mário Almeida, Reza Farahbakhsh:
Stweeler: A Framework for Twitter Bot Analysis. WWW (Companion Volume) 2016: 37-38 - [i1]Liang Wang, Mário Almeida, Jeremy Blackburn, Jon Crowcroft:
C3PO: Computation Congestion Control (PrOactive) - an algorithm for dynamic diffusion of ephemeral in-network services. CoRR abs/1604.01303 (2016) - 2013
- [j1]Carlos Mendes, Mário Almeida, Miguel Mira da Silva:
Applying DEMO-based SLAs to cloud services. J. Serv. Sci. Res. 5(2): 95-123 (2013) - [c4]Mário Almeida, Carlos Mendes, Miguel Mira da Silva:
Extended DEMO-Based SLAs to Specify Customers' Expectations. IESS 2013: 292-298 - [c3]Narseo Vallina-Rodriguez, Andrius Aucinas, Mário Almeida, Yan Grunenberger, Konstantina Papagiannaki, Jon Crowcroft:
RILAnalyzer: a comprehensive 3G monitor on your phone. Internet Measurement Conference 2013: 257-264 - 2012
- [c2]Carlos Mendes, Mário Almeida, Nuno Salvador, Miguel Mira da Silva:
Modelling Services with DEMO. IC3K 2012: 228-242 - [c1]Carlos Mendes, Mário Almeida, Nuno Salvador, Miguel Mira da Silva:
Using DEMO-based SLAs for Improving City Council Services. KEOD 2012: 431-440
Coauthor Index
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