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Elham Dolatabadi
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2020 – today
- 2024
- [i9]Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad:
Few-shot Tuning of Foundation Models for Class-incremental Learning. CoRR abs/2405.16625 (2024) - [i8]Stephen Obadinma, Alia Lachana, Maia Norman, Jocelyn Rankin, Joanna Yu, Xiaodan Zhu, Darren Mastropaolo, Deval Pandya, Roxana Sultan, Elham Dolatabadi:
The FAIIR Tool: A Conversational AI Agent Assistant for Youth Mental Health Service Provision. CoRR abs/2405.18553 (2024) - [i7]Shuvendu Roy, Yasaman Parhizkar, Franklin Ogidi, Vahid Reza Khazaie, Michael Colacci, Ali Etemad, Elham Dolatabadi, Arash Afkanpour:
Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning. CoRR abs/2406.07450 (2024) - [i6]Farnaz Kohankhaki, Shaina Raza, Oluwanifemi Bamgbose, Deval Pandya, Elham Dolatabadi:
Practical Guide for Causal Pathways and Sub-group Disparity Analysis. CoRR abs/2407.02702 (2024) - 2023
- [j3]Sina Akbarian
, Laleh Seyyed-Kalantari
, Farzad Khalvati
, Elham Dolatabadi
:
Evaluating Knowledge Transfer in the Neural Network for Medical Images. IEEE Access 11: 85812-85821 (2023) - [i5]Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhom, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim, Karthik Raja K. Bhaskar, Bencheng Wei, Iris Ren, Waqar Muhammad, Erin Li, Bukola Ishola, Michael Wang, Griffin Tanner, Yu-Jia Shiah, Sean X. Zhang, Kwesi P. Apponsah, Kanishk Patel, Jaswinder Narain, Deval Pandya, Xiaodan Zhu, Frank Rudzicz, Elham Dolatabadi:
Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support. CoRR abs/2302.03222 (2023) - [i4]Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz:
MLHOps: Machine Learning for Healthcare Operations. CoRR abs/2305.02474 (2023) - 2022
- [j2]Sharon Gabison
, Nikola Pupic
, Gary Evans, Elham Dolatabadi, Tilak Dutta
:
Measuring Repositioning in Home Care for Pressure Injury Prevention and Management. Sensors 22(18): 7013 (2022) - 2020
- [c4]Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling, Sedef Akinli Koçak, Elham Dolatabadi:
A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature. SDP@EMNLP 2020: 20-30 - [i3]Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi:
Evaluating Knowledge Transfer In Neural Network for Medical Images. CoRR abs/2008.13574 (2020) - [i2]Sina Akbarian, Tania Cawston, Laurent Moreno, Samir Patel, Vanessa Allen, Elham Dolatabadi:
A Computer Vision Approach to Combat Lyme Disease. CoRR abs/2009.11931 (2020) - [i1]Paul Grouchy, Shobhit Jain, Michael Liu, Kuhan Wang, Max Tian, Nidhi Arora, Hillary Ngai, Faiza Khan Khattak, Elham Dolatabadi, Sedef Akinli Koçak:
An Experimental Evaluation of Transformer-based Language Models in the Biomedical Domain. CoRR abs/2012.15419 (2020)
2010 – 2019
- 2017
- [j1]Elham Dolatabadi, Avril Mansfield
, Kara K. Patterson, Babak Taati
, Alex Mihailidis:
Mixture-Model Clustering of Pathological Gait Patterns. IEEE J. Biomed. Health Informatics 21(5): 1297-1305 (2017) - [c3]Elham Dolatabadi, Ying Xuan Zhi, Bing Ye, Marge M. Coahran, Giorgia Lupinacci, Alex Mihailidis, Rosalie Wang, Babak Taati:
The toronto rehab stroke pose dataset to detect compensation during stroke rehabilitation therapy. PervasiveHealth 2017: 375-381 - 2016
- [c2]Elham Dolatabadi, Babak Taati
, Alex Mihailidis
:
Automated classification of pathological gait after stroke using ubiquitous sensing technology. EMBC 2016: 6150-6153 - 2011
- [c1]Elham Dolatabadi, Serguei Primak:
Statistical characterization of wireless channel between personal area network nodes. ISABEL 2011: 38:1-38:5
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last updated on 2024-08-08 20:13 CEST by the dblp team
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