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Moshe Gabel
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2020 – today
- 2025
- [c31]Christina Christodoulakis, Moshe Gabel, Angela Demke Brown:
Metadata Unification in Open Data with Gnomon. EDBT 2025: 377-383 - 2024
- [c30]Hadar Sivan, Moshe Gabel, Assaf Schuster:
FOSI: Hybrid First and Second Order Optimization. ICLR 2024 - 2023
- [j5]Seyed Hossein Mortazavi, Mohammad Salehe, Moshe Gabel, Eyal de Lara:
Data Management Systems for the Hierarchical Edge. GetMobile Mob. Comput. Commun. 27(2): 11-17 (2023) - [c29]Maryam Ebrahimi, Alexandre da Silva Veith
, Moshe Gabel, Eyal de Lara:
PORTEND: A Joint Performance Model for Partitioned Early-Exiting DNNs. ICPADS 2023: 2475-2482 - [i6]Hadar Sivan, Moshe Gabel, Assaf Schuster:
FOSI: Hybrid First and Second Order Optimization. CoRR abs/2302.08484 (2023) - 2022
- [c28]Maryam Ebrahimi, Alexandre da Silva Veith
Combining DNN partitioning and early exit. EdgeSys@EuroSys 2022: 25-30 - [c27]Brian Ramprasad, Pritish Mishra, Myles Thiessen
Shepherd: Seamless Stream Processing on the Edge. SEC 2022: 40-53 - [c26]Jun Lin Chen, Daniyal Liaqat, Moshe Gabel, Eyal de Lara:
Starlight: Fast Container Provisioning on the Edge and over the WAN. NSDI 2022: 35-50 - [c25]Salaar Liaqat, Daniyal Liaqat, Tatiana Son, Andrea Gershon, Moshe Gabel, Robert Wu, Eyal de Lara:
Hindsight is 20/20: Retrospective Lessons for Conducting Longitudinal Wearable Sensing Studies. PerCom Workshops 2022: 545-550 - [c24]Tina Sedaghat, Salaar Liaqat, Daniyal Liaqat, Robert Wu, Andrea Gershon, Tatiana Son, Tiago H. Falk, Moshe Gabel, Alex Mariakakis
Unobtrusive Monitoring of COPD Patients using Speech Collected from Smartwatches in the Wild. PerCom Workshops 2022: 818-823 - [c23]Hadar Sivan, Moshe Gabel, Assaf Schuster:
AutoMon: Automatic Distributed Monitoring for Arbitrary Multivariate Functions. SIGMOD Conference 2022: 310-324 - [e1]Michal Malka, Hillel Kolodner, Frank Bellosa, Moshe Gabel:
SYSTOR '22: The 15th ACM International Systems and Storage Conference, Haifa, Israel, June 13 - 15, 2022. ACM 2022, ISBN 978-1-4503-9380-5 [contents] - [i5]James Gleeson, Daniel Snider, Yvonne Yang, Moshe Gabel, Eyal de Lara, Gennady Pekhimenko:
Optimizing Data Collection in Deep Reinforcement Learning. CoRR abs/2207.07736 (2022) - 2021
- [j4]Gala Yadgar
SSD-based Workload Characteristics and Their Performance Implications. ACM Trans. Storage 17(1): 8:1-8:26 (2021) - [c22]Abhishek Tiwari, Salaar Liaqat, Daniyal Liaqat, Moshe Gabel, Eyal de Lara, Tiago H. Falk:
Remote COPD Severity and Exacerbation Detection Using Heart Rate and Activity Data Measured from a Wearable Device. EMBC 2021: 7450-7454 - [c21]Daniyal Liaqat, Salaar Liaqat, Jun Lin Chen, Tina Sedaghat, Moshe Gabel, Frank Rudzicz, Eyal de Lara:
Coughwatch: Real-World Cough Detection using Smartwatches. ICASSP 2021: 8333-8337 - [c20]Yuval Alfassi, Moshe Gabel, Gal Yehuda, Daniel Keren:
A Distance-Based Scheme for Reducing Bandwidth in Distributed Geometric Monitoring. ICDE 2021: 1164-1175 - [c19]James Gleeson, Moshe Gabel, Gennady Pekhimenko, Eyal de Lara, Srivatsan Krishnan, Vijay Janapa Reddi:
RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads. MLSys 2021 - [c18]Ishita Ray, Daniyal Liaqat, Moshe Gabel, Eyal de Lara:
Skin tone, Confidence, and Data Quality of Heart Rate Sensing in WearOS Smartwatches. PerCom Workshops 2021: 213-219 - [c17]Caleb Phillips, Daniyal Liaqat, Moshe Gabel, Eyal de Lara:
WristO2: Reliable Peripheral Oxygen Saturation Readings from Wrist-Worn Pulse Oximeters. PerCom Workshops 2021: 623-629 - [c16]Brian Ramprasad, Alexandre da Silva Veith
Sustainable Computing on the Edge: A System Dynamics Perspective. HotMobile 2021: 64-70 - [i4]James Gleeson, Srivatsan Krishnan, Moshe Gabel, Vijay Janapa Reddi, Eyal de Lara, Gennady Pekhimenko:
RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads. CoRR abs/2102.04285 (2021) - 2020
- [j3]Christina Christodoulakis, Eric B. Munson, Moshe Gabel, Angela Demke Brown, Renée J. Miller:
Pytheas: Pattern-based Table Discovery in CSV Files. Proc. VLDB Endow. 13(11): 2075-2089 (2020) - [c15]Gal Yehuda, Moshe Gabel, Assaf Schuster:
It's Not What Machines Can Learn, It's What We Cannot Teach. ICML 2020: 10831-10841 - [c14]Jun Lin Chen, Daniyal Liaqat, Moshe Gabel, Eyal de Lara:
Poster: An Accelerator for Fast Container-based Applications Deployment on the Edge. SEC 2020: 175-177 - [c13]Seyed Hossein Mortazavi, Mohammad Salehe, Moshe Gabel, Eyal de Lara:
Feather: Hierarchical Querying for the Edge. SEC 2020: 271-284 - [c12]Hadar Sivan, Moshe Gabel, Assaf Schuster:
Incremental Sensitivity Analysis for Kernelized Models. ECML/PKDD (2) 2020: 383-398 - [i3]Gal Yehuda, Moshe Gabel, Assaf Schuster:
It's Not What Machines Can Learn, It's What We Cannot Teach. CoRR abs/2002.09398 (2020)
2010 – 2019
- 2019
- [j2]Daniyal Liaqat, Mohamed Abdalla, Pegah Abed-Esfahani, Moshe Gabel, Tatiana Son, Robert Wu, Andrea Gershon, Frank Rudzicz, Eyal de Lara:
WearBreathing: Real World Respiratory Rate Monitoring Using Smartwatches. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(2): 56:1-56:22 (2019) - [c11]Hadar Sivan, Moshe Gabel, Assaf Schuster:
Online Linear Models for Edge Computing. ECML/PKDD (1) 2019: 645-661 - [c10]Abhishek Tiwari, Brian Ramprasad, Seyed Hossein Mortazavi, Moshe Gabel, Eyal de Lara:
Reconfigurable Streaming for the Mobile Edge. HotMobile 2019: 153-158 - [i2]Caleb Phillips, Daniyal Liaqat, Moshe Gabel, Eyal de Lara:
Wrist02 - Reliable Peripheral Oxygen Saturation Readings from Wrist-Worn Pulse Oximeters. CoRR abs/1906.07545 (2019) - [i1]Ido Hakimi, Saar Barkai, Moshe Gabel, Assaf Schuster:
Taming Momentum in a Distributed Asynchronous Environment. CoRR abs/1907.11612 (2019) - 2017
- [b1]Moshe Gabel:
Communication-efficient Algorithms for Distributed Stream Mining. Technion - Israel Institute of Technology, Israel, 2017 - [j1]Igor Kviatkovsky, Moshe Gabel, Ehud Rivlin, Ilan Shimshoni:
On the Equivalence of the LC-KSVD and the D-KSVD Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 39(2): 411-416 (2017) - [c9]Arnon Lazerson, Moshe Gabel, Daniel Keren, Assaf Schuster:
One for All and All for One: Simultaneous Approximation of Multiple Functions over Distributed Streams. DEBS 2017: 203-214 - [c8]Moshe Gabel, Daniel Keren, Assaf Schuster:
Anarchists, Unite: Practical Entropy Approximation for Distributed Streams. KDD 2017: 837-846 - 2016
- [c7]Gala Yadgar, Moshe Gabel:
Avoiding the Streetlight Effect: I/O Workload Analysis with SSDs in Mind. HotStorage 2016 - 2015
- [c6]Moshe Gabel, Kento Sato, Daniel Keren, Satoshi Matsuoka, Assaf Schuster:
Latent Fault Detection With Unbalanced Workloads. EDBT/ICDT Workshops 2015: 118-124 - [c5]Moshe Gabel, Daniel Keren, Assaf Schuster:
Monitoring Least Squares Models of Distributed Streams. KDD 2015: 319-328 - 2014
- [c4]Moshe Gabel, Assaf Schuster, Daniel Keren:
Communication-Efficient Distributed Variance Monitoring and Outlier Detection for Multivariate Time Series. IPDPS 2014: 37-47 - 2013
- [c3]Moshe Gabel, Daniel Keren, Assaf Schuster:
Communication-efficient Outlier Detection for Scale-out Systems. BD3@VLDB 2013: 19-24 - 2012
- [c2]Moshe Gabel, Assaf Schuster, Ran Gilad-Bachrach
Latent fault detection in large scale services. DSN 2012: 1-12 - [c1]Moshe Gabel, Ran Gilad-Bachrach
Full body gait analysis with Kinect. EMBC 2012: 1964-1967
Coauthor Index
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