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2020 – today
- 2021
[j19]Benjamin Shickel, Anis Davoudi, Tezcan Ozrazgat-Baslanti, Matthew Ruppert, Azra Bihorac, Parisa Rashidi:
Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU. Frontiers Digit. Health 3: 640685 (2021)- [j18]Chris Giordano, Meghan Brennan, Basma Mohamed, Parisa Rashidi, François Modave, Patrick J. Tighe:
Accessing Artificial Intelligence for Clinical Decision-Making. Frontiers Digit. Health 3: 645232 (2021) - [c38]Subhash Nerella, Julie Cupka, Matthew Ruppert, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi:
Pain Action Unit Detection in Critically Ill Patients. COMPSAC 2021: 645-651 - [c37]Yashaswi Karnati, Ruben Zapata, Matthew J. McConnell, Rohith R. K. Reddy, Varun Reddy Regalla, Aseem Thakkar, Jordan Alpert, Tonatiuh Mendoza, Parisa Rashidi, Mamoun T. Mardini
, Michael Marsiske, Thomas M. Gill, Todd M. Manini, Sanjay Ranka:
ROAMM: A customizable and interactive smartwatch platform for patient-generated health data. IC3 2021: 150-158 - [i21]Anis Davoudi, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi:
Posture Recognition in the Critical Care Settings using Wearable Devices. CoRR abs/2110.02768 (2021) - [i20]Benjamin Shickel, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi:
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers. CoRR abs/2111.05431 (2021) - 2020
- [j17]Florenc Demrozi, Graziano Pravadelli, Azra Bihorac, Parisa Rashidi:
Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey. IEEE Access 8: 210816-210836 (2020) - [c36]Benjamin Shickel, Martin Heesacker, Sherry Benton, Parisa Rashidi:
Automated Emotional Valence Prediction in Mental Health Text via Deep Transfer Learning. BIBE 2020: 269-274 - [c35]Benjamin Shickel, Scott Siegel, Martin Heesacker, Sherry Benton, Parisa Rashidi:
Automatic Detection and Classification of Cognitive Distortions in Mental Health Text. BIBE 2020: 275-280 - [c34]Florenc Demrozi, Graziano Pravadelli, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi:
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients. EMBC 2020: 4534-4538 - [c33]Vasundhra Iyengar, Azra Bihorac, Parisa Rashidi:
Automated Detection of Rest Disruptions in Critically Ill Patients. EMBC 2020: 5450-5454 - [c32]Anis Davoudi, Catherine Dion, Shawna Amini, David J. Libon, Patrick J. Tighe, Catherine C. Price, Parisa Rashidi:
Phenotyping Cognitive Impairment using Graphomotor and Latency Features in Digital Clock Drawing Test. EMBC 2020: 5657-5660 - [c31]Anis Davoudi, Tezcan Ozrazgat-Baslanti, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi:
Pain and Physical Activity Association in Critically Ill Patients*. EMBC 2020: 5696-5699 - [i19]Florenc Demrozi, Graziano Pravadelli, Azra Bihorac, Parisa Rashidi:
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey. CoRR abs/2004.08821 (2020) - [i18]Florenc Demrozi, Graziano Pravadelli, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi:
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients. CoRR abs/2004.09134 (2020) - [i17]Benjamin Shickel, Parisa Rashidi:
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data. CoRR abs/2004.12524 (2020) - [i16]Benjamin Shickel, Tyler J. Loftus, Shounak Datta, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Parisa Rashidi:
Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications. CoRR abs/2004.12551 (2020) - [i15]Yanjun Li, Yuanfang Ren, Tyler J. Loftus, Shounak Datta, Matthew Ruppert, Ziyuan Guan, Dapeng Oliver Wu, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac:
Application of Deep Interpolation Network for Clustering of Physiologic Time Series. CoRR abs/2004.13066 (2020) - [i14]Anis Davoudi, Tezcan Ozrazgat-Baslanti, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi:
Pain and Physical Activity Association in Critically Ill Patients. CoRR abs/2004.14952 (2020) - [i13]Vasundhra Iyengar, Azra Bihorac, Parisa Rashidi:
Automated Detection of Rest Disruptions in Critically Ill Patients. CoRR abs/2005.01798 (2020) - [i12]Subhash Nerella, Azra Bihorac, Patrick J. Tighe, Parisa Rashidi:
Facial Action Unit Detection on ICU Data for Pain Assessment. CoRR abs/2005.02121 (2020) - [i11]Yuanfang Ren, Tyler J. Loftus, Rahul Sai Kasula, Prudhvee Narasimha Sadha, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti:
Development of Computable Phenotype to Identify and Characterize Transitions in Acuity Status in Intensive Care Unit. CoRR abs/2005.05163 (2020)
2010 – 2019
- 2019
- [j16]Tyler J. Loftus, Gilbert R. Upchurch Jr., Daniel Delitto, Parisa Rashidi, Azra Bihorac:
Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery. Frontiers Artif. Intell. 2: 32 (2019) - [j15]Matin Kheirkhahan, Sanjay P. Nair, Anis Davoudi, Parisa Rashidi, Amal A. Wanigatunga, Duane B. Corbett, Tonatiuh Mendoza, Todd M. Manini, Sanjay Ranka:
A smartwatch-based framework for real-time and online assessment and mobility monitoring. J. Biomed. Informatics 89: 29-40 (2019) - [j14]Ashkan Ebadi, Patrick J. Tighe, Lei Zhang, Parisa Rashidi:
A quest for the structure of intra- and postoperative surgical team networks: does the small-world property evolve over time? Soc. Netw. Anal. Min. 9(1): 7:1-7:20 (2019) - [c30]Marko Suvajdzic, Azra Bihorac, Parisa Rashidi, Matthew Ruppert, Seth Williams, Tezcan Ozrazgat-Baslanti, Triton Ong, Joel Appelbaum:
Developing a Patient-Centered Virtual Reality Healthcare System To Prevent the Onset of Delirium in ICU Patients. SeGAH 2019: 1-7 - [i10]Triton Ong, Matthew Ruppert, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Marko Suvajdzic, Azra Bihorac:
The DREAMS Project: Improving the Intensive Care Patient Experience with Virtual Reality. CoRR abs/1906.11706 (2019) - [i9]Benjamin Shickel, Scott Siegel, Martin Heesacker, Sherry Benton, Parisa Rashidi:
Automatic Detection and Classification of Cognitive Distortions in Mental Health Text. CoRR abs/1909.07502 (2019) - [i8]Shounak Datta, Tyler J. Loftus, Matthew M. Ruppert, Chris Giordano, Lasith Adhikari, Ying-Chih Peng, Yuanfang Ren, Benjamin Shickel, Zheng Feng, Gloria Lipori, Gilbert R. Upchurch Jr., Xiaolin Li, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac:
Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension. CoRR abs/1910.12895 (2019) - 2018
- [j13]Paul Nickerson, Raheleh Baharloo, Amal A. Wanigatunga, Todd M. Manini, Patrick J. Tighe, Parisa Rashidi:
Transition Icons for Time-Series Visualization and Exploratory Analysis. IEEE J. Biomed. Health Informatics 22(2): 623-630 (2018) - [j12]Benjamin Shickel, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi:
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis. IEEE J. Biomed. Health Informatics 22(5): 1589-1604 (2018) - [c29]Anis Davoudi, Duane B. Corbett, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Scott C. Brakenridge, Todd M. Manini, Parisa Rashidi:
Activity and circadian rhythm of sepsis patients in the Intensive Care Unit. BHI 2018: 17-20 - [c28]Kumar Rohit Malhotra, Anis Davoudi, Scott Siegel, Azra Bihorac, Parisa Rashidi:
Autonomous Detection of Disruptions in the Intensive Care Unit Using Deep Mask R-CNN. CVPR Workshops 2018: 1863-1865 - [c27]Paul Nickerson, Raheleh Baharloo, Anis Davoudi, Azra Bihorac, Parisa Rashidi:
Comparison of Gaussian Processes Methods to Linear methods for Imputation of Sparse Physiological Time Series. EMBC 2018: 4106-4109 - [i7]Benjamin Shickel, Tyler J. Loftus, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Azra Bihorac, Parisa Rashidi:
DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning. CoRR abs/1802.10238 (2018) - [i6]Ashkan Ebadi, Patrick J. Tighe, Lei Zheng, Parisa Rashidi:
A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time? CoRR abs/1803.03359 (2018) - [i5]Anis Davoudi, Kumar Rohit Malhotra, Benjamin Shickel, Scott Siegel, Seth Williams, Matthew Ruppert, Emel Bihorac, Tezcan Ozrazgat-Baslanti, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi:
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring. CoRR abs/1804.10201 (2018) - [i4]Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Paul Thottakkara, Ashkan Ebadi, Amir Motaei, Parisa Rashidi, Xiaolin Li, Azra Bihorac:
Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics. CoRR abs/1805.05452 (2018) - [i3]Ashkan Ebadi, Patrick J. Tighe, Lei Zhang, Parisa Rashidi:
Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome. CoRR abs/1812.07129 (2018) - 2017
- [j11]Ashkan Ebadi, Patrick J. Tighe, Lei Zhang, Parisa Rashidi:
DisTeam: A decision support tool for surgical team selection. Artif. Intell. Medicine 76: 16-26 (2017) - [c26]Scott Siegel, Agyeiwaa O. Agyei, Anis Davoudi, Patrick J. Tighe, Parisa Rashidi:
Anesthesia Instrument Recognition System. AMIA 2017 - [c25]Matin Kheirkhahan, Hiranava Das, Manoj Battula, Anis Davoudi, Parisa Rashidi, Todd M. Manini, Sanjay Ranka:
Power-efficient real-time approach to non-wear time detection for smartwatches. BHI 2017: 217-220 - [c24]Shruthi Gopalswamy, Patrick J. Tighe, Parisa Rashidi:
Deep recurrent neural networks for predicting intraoperative and postoperative outcomes and trends. BHI 2017: 361-364 - [c23]Anis Davoudi, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Alberto C. Bursian, Azra Bihorac, Parisa Rashidi:
Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data. BIBE 2017: 568-573 - [c22]Marko Suvajdzic, Azra Bihorac, Parisa Rashidi:
D.R.E.A.M.S. (Digital Rehabilitation Environment-Altering Medical System). SeGAH 2017: 1-5 - [i2]Benjamin Shickel, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi:
Deep EHR: A Survey of Recent Advances on Deep Learning Techniques for Electronic Health Record (EHR) Analysis. CoRR abs/1706.03446 (2017) - [i1]Benjamin Shickel, Martin Heesacker, Sherry Benton, Parisa Rashidi:
Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning. CoRR abs/1708.01372 (2017) - 2016
- [c21]Paul Nickerson, Patrick J. Tighe, Benjamin Shickel, Parisa Rashidi:
Deep neural network architectures for forecasting analgesic response. EMBC 2016: 2966-2969 - [c20]Benjamin Shickel, Parisa Rashidi:
ART: An Availability-Aware Active Learning Framework for Data Streams. FLAIRS Conference 2016: 92-97 - [c19]Sanjay P. Nair, Matin Kheirkhahan, Anis Davoudi, Parisa Rashidi, Amal A. Wanigatunga, Duane B. Corbett, Todd M. Manini, Sanjay Ranka:
ROAMM: A software infrastructure for real-time monitoring of personal health. HealthCom 2016: 1-6 - [c18]Benjamin Shickel, Martin Heesacker, Sherry Benton, Ashkan Ebadi, Paul Nickerson, Parisa Rashidi:
Self-Reflective Sentiment Analysis. CLPsych@HLT-NAACL 2016: 23-32 - [c17]Benjamin Shickel, Parisa Rashidi:
Automatic Triage of Mental Health Forum Posts. CLPsych@HLT-NAACL 2016: 188-192 - 2015
- [p1]Giovanni Acampora, Diane J. Cook, Parisa Rashidi, Athanasios V. Vasilakos:
Data Analytics for Pervasive Health. Healthcare Data Analytics 2015: 533-576 - 2014
- [j10]Nirmalya Roy, Parisa Rashidi, Larry Holder, Liming Chen:
Special issue on data mining in pervasive environments. Pervasive Mob. Comput. 15: 151-152 (2014) - [c16]Hassan Ghasemzadeh, Parisa Rashidi, Michael K. Ong, Diane J. Cook, Roozbeh Jafari, George Demiris, Misha Pavel, Marjorie Skubic:
SmartHealthSys 2014: ACM ubicomp international workshop on smart health systems and applications. UbiComp Adjunct 2014: 1179-1185 - 2013
- [j9]Rezarta Islamaj Dogan, Yolanda Gil, Haym Hirsh, Narayanan Chatapuram Krishnan, Michael Lewis, Çetin Meriçli, Parisa Rashidi, Victor Raskin, Samarth Swarup, Wei Sun, Julia M. Taylor, Lana Yeganova:
Reports on the 2012 AAAI Fall Symposium Series. AI Mag. 34(1): 93-100 (2013) - [j8]Giovanni Acampora, Diane J. Cook, Parisa Rashidi, Athanasios V. Vasilakos:
A Survey on Ambient Intelligence in Healthcare. Proc. IEEE 101(12): 2470-2494 (2013) - [j7]Diane J. Cook, Narayanan Chatapuram Krishnan, Parisa Rashidi:
Activity Discovery and Activity Recognition: A New Partnership. IEEE Trans. Cybern. 43(3): 820-828 (2013) - [j6]Parisa Rashidi, Diane J. Cook:
COM: A method for mining and monitoring human activity patterns in home-based health monitoring systems. ACM Trans. Intell. Syst. Technol. 4(4): 64:1-64:20 (2013) - [j5]Parisa Rashidi, Alex Mihailidis:
A Survey on Ambient-Assisted Living Tools for Older Adults. IEEE J. Biomed. Health Informatics 17(3): 579-590 (2013) - 2012
- [j4]Liming Chen, Parisa Rashidi:
Situation, activity and goal awareness in ubiquitous computing. Int. J. Pervasive Comput. Commun. 8(3): 216-224 (2012) - [c15]Diane J. Cook, Narayanan Chatapuram Krishnan, Parisa Rashidi, Marjorie Skubic, Alex Mihailidis:
Preface. AAAI Fall Symposium: Artificial Intelligence for Gerontechnology 2012 - [c14]Parisa Rashidi, Liming Chen, William K. Cheung:
International Workshop on Situation, Activity and Goal Awareness (SAGAware 2012). UbiComp 2012: 1012-1015 - [c13]Parisa Rashidi:
Assisted living technologies for older adults. IHI 2012: 875-878 - 2011
- [j3]Parisa Rashidi, Diane J. Cook:
Activity knowledge transfer in smart environments. Pervasive Mob. Comput. 7(3): 331-343 (2011) - [j2]Parisa Rashidi, Diane J. Cook, Lawrence B. Holder, Maureen Schmitter-Edgecombe:
Discovering Activities to Recognize and Track in a Smart Environment. IEEE Trans. Knowl. Data Eng. 23(4): 527-539 (2011) - [c12]Liming Chen, Parisa Rashidi, Ismail Khalil, Zhiwen Yu, Christian Becker, William K. Cheung:
Workshop overview for the international workshop on situation, activity and goal awareness. UbiComp 2011: 631-632 - [c11]Parisa Rashidi, Diane J. Cook:
Domain Selection and Adaptation in Smart Homes. ICOST 2011: 17-24 - [c10]Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook:
Using Association Rule Mining to Discover Temporal Relations of Daily Activities. ICOST 2011: 49-56 - [c9]Parisa Rashidi, Diane J. Cook:
Ask me better questions: active learning queries based on rule induction. KDD 2011: 904-912 - 2010
- [c8]Parisa Rashidi, Diane J. Cook:
Activity Recognition Based on Home to Home Transfer Learning. Plan, Activity, and Intent Recognition 2010 - [c7]Parisa Rashidi, Diane J. Cook:
Mining Sensor Streams for Discovering Human Activity Patterns over Time. ICDM 2010: 431-440 - [c6]Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook:
Discovering Temporal Features and Relations of Activity Patterns. ICDM Workshops 2010: 1069-1075 - [c5]Parisa Rashidi, Diane J. Cook:
Mining and monitoring patterns of daily routines for assisted living in real world settings. IHI 2010: 336-345
2000 – 2009
- 2009
- [j1]Parisa Rashidi, Diane J. Cook:
Keeping the Resident in the Loop: Adapting the Smart Home to the User. IEEE Trans. Syst. Man Cybern. Part A 39(5): 949-959 (2009) - [c4]Parisa Rashidi, Diane J. Cook:
Transferring Learned Activities in Smart Environments. Intelligent Environments 2009: 185-192 - 2008
- [c3]Parisa Rashidi, Roger T. Alexander:
Onspect: ontology based aspects. FOAL 2008: 41 - [c2]Parisa Rashidi, Diane J. Cook:
An Adaptive Sensor Mining Framework for Pervasive Computing Applications. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 154-174 - 2007
- [c1]Parisa Rashidi, G. Michael Youngblood, Diane J. Cook, Sajal K. Das:
Inhabitant Guidance of Smart Environments. HCI (2) 2007: 910-919
Coauthor Index
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