Claudio Forlivesi

Publication Activity (10 Years)

Years Active: 2012-2019
Publications (10 Years): 13

Top Topics

Weakly Supervised

Embedded Devices

Top Venues

MobiSys (Companion Volume)

Publications

Utku Günay Acer, Marc Van den Broeck, Claudio Forlivesi, Florian Heller, Fahim Kawsar
Scaling Crowdsourcing with Mobile Workforce: A Case Study with Belgian Postal Service. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3 (2) (2019)
Claudio Forlivesi, Marc Van den Broeck, Utku Günay Acer, Fahim Kawsar
On-Wearable AI to Model Human Interruptibility. MobiSys (2018)
Fahim Kawsar, Chulhong Min, Akhil Mathur, Marc Van den Broeck, Utku Günay Acer, Claudio Forlivesi
eSense: Earable Platform for Human Sensing. MobiSys (2018)
Claudio Forlivesi, Utku Günay Acer, Marc Van den Broeck, Fahim Kawsar
Mindful interruptions: a lightweight system for managing interruptibility on wearables. WearSys@MobiSys (2018)
Akhil Mathur, Nicholas D. Lane, Sourav Bhattacharya, Aidan Boran, Claudio Forlivesi, Fahim Kawsar
DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware. MobiSys (2017)
Utku Günay Acer, Marc Van den Broeck, Marc Godon, Claudio Forlivesi, Fahim Kawsar
Can Mobile Workforce Revolutionize Country-Scale Crowdsourcing? WPA@MobiSys (2017)
Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
Squeezing Deep Learning into Mobile and Embedded Devices. IEEE Pervasive Comput. 16 (3) (2017)
Utku Günay Acer, Geert Vanderhulst, Afra J. Mashhadi, Aidan Boran, Claudio Forlivesi, Philipp M. Scholl, Fahim Kawsar
Capturing Personal and Crowd Behavior with Wi-Fi Analytics. WPA@MobiSys (2016)
Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar
DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices. IPSN (2016)
Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX. IPSN (2016)
Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX. MobiSys (Companion Volume) (2016)
Afra J. Mashhadi, Utku Günay Acer, Aidan Boran, Philipp M. Scholl, Claudio Forlivesi, Geert Vanderhulst, Fahim Kawsar
Exploring space syntax on entrepreneurial opportunities with Wi-Fi analytics. UbiComp (2016)
Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Claudio Forlivesi, Fahim Kawsar
DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit. MobiCASE (2016)
Utku Günay Acer, Afra J. Mashhadi, Claudio Forlivesi, Fahim Kawsar
Energy Efficient Scheduling for Mobile Push Notifications. EAI Endorsed Trans. Energy Web 2 (5) (2015)
Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices. IoT-App@SenSys (2015)
Utku Günay Acer, Aidan Boran, Claudio Forlivesi, Werner Liekens, Fernando Pérez-Cruz, Fahim Kawsar
Sensing WiFi network for personal IoT analytics. IOT (2015)
Nico Janssens, Xueli An, Koen Daenen, Claudio Forlivesi
Dynamic Scaling of Call-Stateful SIP Services in the Cloud. Networking (1) (2012)