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David Tedaldi
David Tedaldi
morgen.so, Cisco Systems, ETHZ
Verified email at morgen.so - Homepage
Title
Cited by
Cited by
Year
A robust and easy to implement method for IMU calibration without external equipments
D Tedaldi, A Pretto, E Menegatti
2014 IEEE International Conference on Robotics and Automation (ICRA), 3042-3049, 2014
2282014
Feature detection and tracking with the dynamic and active-pixel vision sensor (DAVIS)
D Tedaldi, G Gallego, E Mueggler, D Scaramuzza
2016 Second International Conference on Event-based Control, Communication …, 2016
922016
Using random forests to generate rules for causation analysis of network anomalies
D Tedaldi, G Mermoud, JP Vasseur
US Patent 10,771,313, 2020
52020
Deep learning architecture for collaborative anomaly detection and explanation
G Mermoud, D Tedaldi, JP Vasseur
US Patent 10,574,512, 2020
42020
Anomaly detection with root cause learning in a network assurance service
G Mermoud, JP Vasseur, D Tedaldi
US Patent App. 15/983,615, 2019
42019
Learning stable representations of devices for clustering-based device classification systems
D Tedaldi, G Mermoud, PA Savalle, JP Vasseur
US Patent 11,451,456, 2022
32022
Detection and resolution of rule conflicts in device classification systems
G Mermoud, JP Vasseur, PA Savalle, D Tedaldi
US Patent 11,290,331, 2022
32022
Predicting network states for answering what-if scenario outcomes
D Tedaldi, G Mermoud, VK Kolar, JP Vasseur, PA Savalle
US Patent 11,146,463, 2021
32021
Protecting device classification systems from adversarial endpoints
JP Vasseur, G Mermoud, PA Savalle, D Tedaldi
US Patent 11,283,830, 2022
22022
Learning when to reuse existing rules in active labeling for device classification
PA Savalle, JP Vasseur, G Mermoud, D Tedaldi, JN Diemand, SB Martin
US Patent 10,999,146, 2021
22021
Anomaly severity scoring in a network assurance service
JP Vasseur, G Mermoud, D Tedaldi, SG Pandey
US Patent App. 15/996,628, 2019
22019
Compressed transmission of network data for networking machine learning systems
MY Raghuprasad, D Tedaldi, VK Kolar, JP Vasseur
US Patent 11,438,240, 2022
12022
Continuous validation of active labeling for device type classification
JP Vasseur, PA Savalle, G Mermoud, D Tedaldi
US Patent 11,297,079, 2022
12022
Learning packet capture policies to enrich context for device classification systems
JP Vasseur, D Tedaldi, G Mermoud, PA Savalle
US Patent 11,018,943, 2021
12021
Systems and methods for application traffic simulation using captured flows
DJ Zacks, T Szigeti, T Peleg, D Tedaldi, VV Pendhar
US Patent 10,944,641, 2021
12021
Learning robust and accurate rules for device classification from clusters of devices
D Tedaldi, G Mermoud, PA Savalle, JP Vasseur
US Patent 11,483,207, 2022
2022
Adaptive training of machine learning models based on live performance metrics
G Mermoud, JP Vasseur, PA Savalle, VK Kolar, D Tedaldi
US Patent 11,438,406, 2022
2022
Using throughput mode distribution as a proxy for quality of experience and path selection in the internet
JP Vasseur, G Mermoud, D Tedaldi, VK Kolar
US Patent 11,425,048, 2022
2022
Unsupervised learning of local-aware attribute relevance for device classification and clustering
G Mermoud, D Tedaldi, PA Savalle, JP Vasseur, JN Diemand
US Patent 11,416,522, 2022
2022
Revisiting device classification rules upon observation of new endpoint attributes
JP Vasseur, PA Savalle, G Mermoud, D Tedaldi
US Patent 11,399,023, 2022
2022
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