Claudio Forlivesi

17 papers A 3B 1Misc 1Journal 3Unranked 9
YearRankTypeTitle / Venue / Authors
2019 J jnl
Scaling Crowdsourcing with Mobile Workforce: A Case Study with Belgian Postal Service.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Utku Günay Acer, Marc Van den Broeck, Claudio Forlivesi, Florian Heller, Fahim Kawsar
2018 — conf
Mindful interruptions: a lightweight system for managing interruptibility on wearables.
WearSys@MobiSys
Claudio Forlivesi, Utku Günay Acer, Marc Van den Broeck, Fahim Kawsar
2018 A conf
On-Wearable AI to Model Human Interruptibility.
MobiSys
Claudio Forlivesi, Marc Van den Broeck, Utku Günay Acer, Fahim Kawsar
2018 A conf
eSense: Earable Platform for Human Sensing.
MobiSys
Fahim Kawsar, Chulhong Min, Akhil Mathur, Marc Van den Broeck, Utku Günay Acer, Claudio Forlivesi
2017 — conf
Can Mobile Workforce Revolutionize Country-Scale Crowdsourcing?
WPA@MobiSys
Utku Günay Acer, Marc Van den Broeck, Marc Godon, Claudio Forlivesi, Fahim Kawsar
2017 A conf
DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware.
MobiSys
Akhil Mathur, Nicholas D. Lane, Sourav Bhattacharya, Aidan Boran, Claudio Forlivesi, Fahim Kawsar
2017 J jnl
Squeezing Deep Learning into Mobile and Embedded Devices.
IEEE Pervasive Comput.
Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
2016 — conf
Capturing Personal and Crowd Behavior with Wi-Fi Analytics.
WPA@MobiSys
Utku Günay Acer, Geert Vanderhulst, Afra J. Mashhadi, Aidan Boran, Claudio Forlivesi, Philipp M. Scholl, Fahim Kawsar
2016 — conf
DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit.
MobiCASE
Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Claudio Forlivesi, Fahim Kawsar
2016 — conf
DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices.
IPSN
Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar
2016 — conf
Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX.
MobiSys (Companion Volume)
Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
2016 — conf
Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX.
IPSN
Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
2016 Misc conf
Exploring space syntax on entrepreneurial opportunities with Wi-Fi analytics.
UbiComp
Afra J. Mashhadi, Utku Günay Acer, Aidan Boran, Philipp M. Scholl, Claudio Forlivesi, Geert Vanderhulst, Fahim Kawsar
2015 — conf
An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices.
IoT-App@SenSys
Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
2015 J jnl
Energy Efficient Scheduling for Mobile Push Notifications.
EAI Endorsed Trans. Energy Web
Utku Günay Acer, Afra J. Mashhadi, Claudio Forlivesi, Fahim Kawsar
2015 — conf
Sensing WiFi network for personal IoT analytics.
IOT
Utku Günay Acer, Aidan Boran, Claudio Forlivesi, Werner Liekens, Fernando Pérez-Cruz, Fahim Kawsar
2012 B conf
Dynamic Scaling of Call-Stateful SIP Services in the Cloud.
Networking (1)
Nico Janssens, Xueli An, Koen Daenen, Claudio Forlivesi