Moshe Gabel

According to our database1, Moshe Gabel authored at least 38 papers between 2012 and 2023.

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Bibliography

2023
Data Management Systems for the Hierarchical Edge.
GetMobile Mob. Comput. Commun., June, 2023

FOSI: Hybrid First and Second Order Optimization.
CoRR, 2023

2022
Optimizing Data Collection in Deep Reinforcement Learning.
CoRR, 2022

AutoMon: Automatic Distributed Monitoring for Arbitrary Multivariate Functions.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Unobtrusive Monitoring of COPD Patients using Speech Collected from Smartwatches in the Wild.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

Hindsight is 20/20: Retrospective Lessons for Conducting Longitudinal Wearable Sensing Studies.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

Starlight: Fast Container Provisioning on the Edge and over the WAN.
Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

Shepherd: Seamless Stream Processing on the Edge.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

Combining DNN partitioning and early exit.
Proceedings of the EdgeSys@EuroSys 2022: Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking, Rennes, France, April 5, 2022

2021
SSD-based Workload Characteristics and Their Performance Implications.
ACM Trans. Storage, 2021

Sustainable Computing on the Edge: A System Dynamics Perspective.
Proceedings of the HotMobile '21: The 22nd International Workshop on Mobile Computing Systems and Applications, 2021

Skin tone, Confidence, and Data Quality of Heart Rate Sensing in WearOS Smartwatches.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

WristO2: Reliable Peripheral Oxygen Saturation Readings from Wrist-Worn Pulse Oximeters.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads.
Proceedings of Machine Learning and Systems 2021, 2021

A Distance-Based Scheme for Reducing Bandwidth in Distributed Geometric Monitoring.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Coughwatch: Real-World Cough Detection using Smartwatches.
Proceedings of the IEEE International Conference on Acoustics, 2021

Remote COPD Severity and Exacerbation Detection Using Heart Rate and Activity Data Measured from a Wearable Device.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Pytheas: Pattern-based Table Discovery in CSV Files.
Proc. VLDB Endow., 2020

Incremental Sensitivity Analysis for Kernelized Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Feather: Hierarchical Querying for the Edge.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

Poster: An Accelerator for Fast Container-based Applications Deployment on the Edge.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

It's Not What Machines Can Learn, It's What We Cannot Teach.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
WearBreathing: Real World Respiratory Rate Monitoring Using Smartwatches.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Taming Momentum in a Distributed Asynchronous Environment.
CoRR, 2019

Wrist02 - Reliable Peripheral Oxygen Saturation Readings from Wrist-Worn Pulse Oximeters.
CoRR, 2019

Reconfigurable Streaming for the Mobile Edge.
Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications, 2019

Online Linear Models for Edge Computing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2017
Communication-efficient Algorithms for Distributed Stream Mining.
PhD thesis, 2017

On the Equivalence of the LC-KSVD and the D-KSVD Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Anarchists, Unite: Practical Entropy Approximation for Distributed Streams.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

One for All and All for One: Simultaneous Approximation of Multiple Functions over Distributed Streams.
Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, 2017

2016
Avoiding the Streetlight Effect: I/O Workload Analysis with SSDs in Mind.
Proceedings of the 8th USENIX Workshop on Hot Topics in Storage and File Systems, 2016

2015
Monitoring Least Squares Models of Distributed Streams.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Latent Fault Detection With Unbalanced Workloads.
Proceedings of the Workshops of the EDBT/ICDT 2015 Joint Conference (EDBT/ICDT), 2015

2014
Communication-Efficient Distributed Variance Monitoring and Outlier Detection for Multivariate Time Series.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2013
Communication-efficient Outlier Detection for Scale-out Systems.
Proceedings of the First International Workshop on Big Dynamic Distributed Data, 2013

2012
Full body gait analysis with Kinect.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Latent fault detection in large scale services.
Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks, 2012


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