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ORCIDClaudio Forlivesi
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2010 – 2019
- 2019
[j3]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): 35:1-35:32 (2019)- 2018
- [c14]Claudio Forlivesi, Utku Günay Acer, Marc Van den Broeck, Fahim Kawsar:
Mindful interruptions: a lightweight system for managing interruptibility on wearables. WearSys@MobiSys 2018: 27-32 - [c13]Claudio Forlivesi, Marc Van den Broeck, Utku Günay Acer, Fahim Kawsar:
On-Wearable AI to Model Human Interruptibility. MobiSys 2018: 520 - [c12]Fahim Kawsar, Chulhong Min, Akhil Mathur, Marc Van den Broeck, Utku Günay Acer, Claudio Forlivesi:
eSense: Earable Platform for Human Sensing. MobiSys 2018: 541 - 2017
- [j2]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): 82-88 (2017) - [c11]Utku Günay Acer, Marc Van den Broeck, Marc Godon, Claudio Forlivesi, Fahim Kawsar:
Can Mobile Workforce Revolutionize Country-Scale Crowdsourcing? WPA@MobiSys 2017: 31-36 - [c10]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: 68-81 - 2016
- [c9]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: 658-669 - [c8]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: 23:1-23:12 - [c7]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX. IPSN 2016: 61:1-61:2 - [c6]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: 98-107 - [c5]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: 43-48 - [c4]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: 109 - 2015
- [j1]Utku Günay Acer, Afra J. Mashhadi, Claudio Forlivesi, Fahim Kawsar:
Energy Efficient Scheduling for Mobile Push Notifications. EAI Endorsed Trans. Energy Web 2(5): e3 (2015) - [c3]Utku Günay Acer, Aidan Boran, Claudio Forlivesi, Werner Liekens, Fernando Pérez-Cruz, Fahim Kawsar:
Sensing WiFi network for personal IoT analytics. IOT 2015: 104-111 - [c2]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: 7-12 - 2012
- [c1]Nico Janssens, Xueli An, Koen Daenen, Claudio Forlivesi:
Dynamic Scaling of Call-Stateful SIP Services in the Cloud. Networking (1) 2012: 175-189
Coauthor Index
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