QoE-Driven Integrated Heterogeneous Traffic Resource Allocation Based on Cooperative Learning for 5G Cognitive Radio Networks. - Fatemeh Shah-Mohammadi; Andres Kwasinski (5G World Forum, 2018)

Deep Reinforcement Learning Approach to QoE-Driven Resource Allocation for Spectrum Underlay in Cognitive Radio Networks. - Fatemeh Shah-Mohammadi; Andres Kwasinski (ICC Workshops, 2018)

Neural Network Cognitive Engine for Autonomous and Distributed Underlay Dynamic Spectrum Access. - Fatemeh Shah-Mohammadi; Andres Kwasinski (CoRR, 2018)

Fast Learning Cognitive Radios in Underlay Dynamic Spectrum Access: Integration of Transfer Learning into Deep Reinforcement Learning. - Fatemeh Shah-Mohammadi; Andres Kwasinski (WTS, 2020)

Queue-aware QoE-based Rate and Power Adaptation Over Underlay Cognitive Radio Networks: Cross-Layer Design. - Fatemeh Shah-Mohammadi; Ankita Tondwalkar; Andres Kwasinski (WTS, 2020)

Comparison of ACM and CLAMP for Entity Extraction in Clinical Notes. - Fatemeh Shah-Mohammadi; Wanting Cui; Joseph Finkelstein (EMBC, 2021)

Latent COVID-19 Clusters in Patients with Opioid Misuse. - Fatemeh Shah-Mohammadi; Wanting Cui; Keren Bachi; Yasmin Hurd; Joseph Finkelstein (ICIMTH, 2021)

NLP-Assisted Pipeline for COVID-19 Core Outcome Set Identification Using ClinicalTrials.gov. - Fatemeh Shah-Mohammadi; Irena Parvanova; Joseph Finkelstein (MedInfo, 2021)

Entity Extraction for Clinical Notes, a Comparison Between MetaMap and Amazon Comprehend Medical. - Fatemeh Shah-Mohammadi; Wanting Cui; Joseph Finkelstein (MIE, 2021)

Neural Network Cognitive Engine for Autonomous and Distributed Underlay Dynamic Spectrum Access. - Fatemeh Shah-Mohammadi; Hatem Hussein Enaami; Andres Kwasinski (IEEE Open J. Commun. Soc., 2021)

Using NLP for Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation. - Fatemeh Shah-Mohammadi; Joseph Finkelstein (BIBM, 2022)

Comparative Analysis of Patient Distress in Opioid Treatment Programs using Natural Language Processing. - Fatemeh Shah-Mohammadi; Wanting Cui; Keren Bachi; Yasmin Hurd; Joseph Finkelstein (BIOSIGNALS, 2022)

Using Natural Language Processing of Clinical Notes to Predict Outcomes of Opioid Treatment Program. - Fatemeh Shah-Mohammadi; Wanting Cui; Keren Bachi; Yasmin Hurd; Joseph Finkelstein (EMBC, 2022)

Contextualized Large Language Model-Based Architecture for Outcome Measure Alignment in Clinical Trials. - Fatemeh Shah-Mohammadi; Joseph Finkelstein (BIBM, 2023)

Using Electronic Medical Records and Clinical Notes to Predict the Outcome of Opioid Treatment Program. - Wanting Cui; Fatemeh Shah-Mohammadi; Joseph Finkelstein (ICIMTH, 2023)

Combining NLP and Machine Learning for Differential Diagnosis of COPD Exacerbation Using Emergency Room Data. - Fatemeh Shah-Mohammadi; Joseph Finkelstein (ICIMTH, 2023)

NLP-Assisted Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation. - Fatemeh Shah-Mohammadi; Joseph Finkelstein (MedInfo, 2023)

Identification of Subphenotypes of Opioid Use Disorder Using Unsupervised Machine Learning. - Fatemeh Shah-Mohammadi; Joseph Finkelstein (MIE, 2023)

Large Language Model-Based Architecture for Automatic Outcome Data Extraction to Support Meta-Analysis. - Fatemeh Shah-Mohammadi; Joseph Finkelstein (CCWC, 2024)

Utilizing RAG and GPT-4 for Extraction of Substance Use Information from Clinical Notes. - Fatemeh Shah-Mohammadi; Joseph Finkelstein (EFMI-STC, 2024)