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Priyanka Mary Mammen
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2020 – today
- 2024
- [i6]Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd
, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren:
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - 2023
- [c6]Priyanka Mary Mammen
CUFF: A Configurable Uncertainty-driven Forecasting Framework for Green AI Clusters. e-Energy 2023: 266-270 - [i5]Md Abdul Aowal, Maliha T. Islam, Priyanka Mary Mammen, Sandesh Shetty:
Detecting Natural Language Biases with Prompt-based Learning. CoRR abs/2309.05227 (2023) - 2022
- [j1]Camellia Zakaria
SleepMore: Inferring Sleep Duration at Scale via Multi-Device WiFi Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 193:1-193:32 (2022) - [i4]Camellia Zakaria, Gizem Yilmaz, Priyanka Mary Mammen, Michael Chee, Prashant J. Shenoy
SleepMore: Sleep Prediction at Scale via Multi-Device WiFi Sensing. CoRR abs/2210.14152 (2022) - 2021
- [i3]Priyanka Mary Mammen:
Federated Learning: Opportunities and Challenges. CoRR abs/2101.05428 (2021) - [i2]Priyanka Mary Mammen, Camellia Zakaria, Tergel Molom-Ochir, Amee Trivedi, Prashant J. Shenoy, Rajesh Balan:
WiSleep: Scalable Sleep Monitoring and Analytics Using Passive WiFi Sensing. CoRR abs/2102.03690 (2021) - 2020
- [c5]Priyanka Mary Mammen, Surabhi Mehrotra, Hareesh Kumar, Krithi Ramamritham:
Want to Reduce Energy Consumption, Which Floor Should I Prefer? e-Energy 2020: 534-538 - [c4]Priyanka Mary Mammen:
Scalable mHealth technologies for public health monitoring: PhD forum abstract. SenSys 2020: 819-820
2010 – 2019
- 2019
- [c3]Surabhi Mehrotra
Data driven monitoring of thermal profile: towards sustainable urban habitats. ICTD 2019: 37:1-37:5 - [i1]Hareesh Kumar, Priyanka Mary Mammen, Krithi Ramamritham:
Explainable AI: Deep Reinforcement Learning Agents for Residential Demand Side Cost Savings in Smart Grids. CoRR abs/1910.08719 (2019) - 2018
- [c2]Priyanka Mary Mammen, Hareesh Kumar, Krithi Ramamritham, Haroon Rashid
Want to Reduce Energy Consumption, Whom should we call? e-Energy 2018: 12-20 - 2017
- [c1]Haroon Rashid
Want to reduce energy consumption?: don't depend on the consumers! BuildSys@SenSys 2017: 16:1-16:4
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last updated on 2024-08-16 18:33 CEST by the dblp team
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