| 2025 | AAAI | XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications. | Tingsong Xiao, Zelin Xu, Wenchong He, Zhengkun Xiao, Yupu Zhang, Zibo Liu, Shigang Chen, My T. Thai, Jiang Bian, Parisa Rashidi, Zhe Jiang |
| 2025 | BSN | Non-Invasive Glucose Measurement Using Radio-Frequency Spectroscopy and Machine Learning. | Alishba Fatmi, Subhash Nerella, Dominic Klyve, Parisa Rashidi, Adam Khalifa |
| 2025 | MICCAI | MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care. | Jiaqing Zhang, Miguel Contreras, Jessica Sena, Andrea Davidson, Yuanfang Ren, Ziyuan Guan, Tezcan Ozrazgat-Baslanti, Tyler J. Loftus, Subhash Nerella, Azra Bihorac, Parisa Rashidi |
| 2025 | SIGCSE | NeuRL: A Standalone No-Code Web-Based Agent Environment to Explore Neural Networks and Reinforcement Learning. | Scott Siegel, Amanpreet Kapoor, Parisa Rashidi |
| 2024 | MOBICOM | Enhancing EHR Systems with data from wearables: An end-to-end Solution for monitoring post-Surgical Symptoms in older adults. | Heng Sun, Sai Manoj Jalam, Havish Kodali, Subhash Nerella, Ruben D. Zapata, Nicole Gravina, Jessica M. Ray, Erik C. Schmidt, Todd M. Manini, Parisa Rashidi |
| 2021 | COMPSAC | Pain Action Unit Detection in Critically Ill Patients. | Subhash Nerella, Julie Cupka, Matthew Ruppert, Patrick James Tighe, Azra Bihorac, Parisa Rashidi |
| 2020 | BIBE | Automated Emotional Valence Prediction in Mental Health Text via Deep Transfer Learning. | Benjamin Shickel, Martin Heesacker, Sherry Benton, Parisa Rashidi |
| 2020 | BIBE | Automatic Detection and Classification of Cognitive Distortions in Mental Health Text. | Benjamin Shickel, Scott Siegel, Martin Heesacker, Sherry Benton, Parisa Rashidi |
| 2018 | CVPR | Autonomous Detection of Disruptions in the Intensive Care Unit Using Deep Mask R-CNN. | Kumar Rohit Malhotra, Anis Davoudi, Scott Siegel, Azra Bihorac, Parisa Rashidi |
| 2017 | AMIA | Anesthesia Instrument Recognition System. | Scott Siegel, Agyeiwaa O. Agyei, Anis Davoudi, Patrick James Tighe, Parisa Rashidi |
| 2017 | BIBE | Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data. | Anis Davoudi, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Alberto C. Bursian, Azra Bihorac, Parisa Rashidi |
| 2016 | FlAIRS | ART: An Availability-Aware Active Learning Framework for Data Streams. | Benjamin Shickel, Parisa Rashidi |
| 2016 | HealthCom | ROAMM: A software infrastructure for real-time monitoring of personal health. | Sanjay P. Nair, Matin Kheirkhahan, Anis Davoudi, Parisa Rashidi, Amal A. Wanigatunga, Duane B. Corbett, Todd M. Manini, Sanjay Ranka |
| 2016 | NAACL | Self-Reflective Sentiment Analysis. | Benjamin Shickel, Martin Heesacker, Sherry Benton, Ashkan Ebadi, Paul Nickerson, Parisa Rashidi |
| 2016 | NAACL | Automatic Triage of Mental Health Forum Posts. | Benjamin Shickel, Parisa Rashidi |
| 2011 | ICOST | Using Association Rule Mining to Discover Temporal Relations of Daily Activities. | Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook |
| 2011 | ICOST | Domain Selection and Adaptation in Smart Homes. | Parisa Rashidi, Diane J. Cook |
| 2011 | KDD | Ask me better questions: active learning queries based on rule induction. | Parisa Rashidi, Diane J. Cook |
| 2010 | AAAI | Activity Recognition Based on Home to Home Transfer Learning. | Parisa Rashidi, Diane J. Cook |
| 2010 | ICDM | Discovering Temporal Features and Relations of Activity Patterns. | Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook |
| 2010 | ICDM | Mining Sensor Streams for Discovering Human Activity Patterns over Time. | Parisa Rashidi, Diane J. Cook |
| 2008 | KDD | An Adaptive Sensor Mining Framework for Pervasive Computing Applications. | Parisa Rashidi, Diane J. Cook |
| 2007 | HCI | Inhabitant Guidance of Smart Environments. | Parisa Rashidi, G. Michael Youngblood, Diane J. Cook, Sajal K. Das |