Ali Tazarv

According to our database, Ali Tazarv authored at least 7 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings.

Ali Tazarv, Sina Labbaf, Amir-Mohammad Rahmani, Nikil D. Dutt, Marco Levorato

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2023

2022

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, et al.

CoRR, 2022

2021

ParsiNLU: A Suite of Language Understanding Challenges for Persian.

Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh

Trans. Assoc. Comput. Linguistics, 2021

Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement.

Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato

Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021

Personalized Stress Monitoring using Wearable Sensors in Everyday Settings.

Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil D. Dutt, Amir M. Rahmani, Marco Levorato

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Deep Learning Approach to Predict Blood Pressure from PPG Signals.

Ali Tazarv, Marco Levorato

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2017

Fast Startup of LC VCOs Using Circuit Asymmetries.

Joshua H. Kim, Ali Tazarv, Michael M. Green

IEEE Trans. Circuits Syst. II Express Briefs, 2017