Automatic emotion detection in text streams by analyzing Twitter data von Hasan, Maryam, Rundensteiner, Elke, Agu, Emmanuel

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Multitask Deep Learning Methods for Improving Human Context Recognition From Low Sampling Rate Sensor Data von Ditthapron, Apiwat, Lammert, Adam C., Agu, Emmanuel O.

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Continuous TBI Monitoring From Spontaneous Speech Using Parametrized Sinc Filters and a Cascading GRU von Ditthapron, Apiwat, Lammert, Adam C., Agu, Emmanuel O.

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Performance Evaluation of COVID-19 Proximity Detection Using Bluetooth LE Signal von Su, Zhuoran, Pahlavan, Kaveh, Agu, Emmanuel

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ADL-GAN: Data Augmentation to Improve In-the-wild ADL Recognition using GANs von Ditthapron, Apiwat, Lammert, Adam C., Agu, Emmanuel O.

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Domain Adaptation Methods for Lab-to-Field Human Context Recognition von Alajaji, Abdulaziz, Gerych, Walter, Buquicchio, Luke, Chandrasekaran, Kavin, Mansoor, Hamid, Agu, Emmanuel, Rundensteiner, Elke

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Proximity Detection During Epidemics: Direct UWB TOA Versus Machine Learning Based RSSI von Su, Zhuoran, Pahlavan, Kaveh, Agu, Emmanuel, Wei, Haowen

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CovidRhythm: A Deep Learning Model for Passive Prediction of Covid-19 Using Biobehavioral Rhythms Derived From Wearable Physiological Data von Sarwar, Atifa, Agu, Emmanuel O., Almadani, Abdulsalam

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Context-Aware Probabilistic Models for Predicting Future Sedentary Behaviors of Smartphone Users von He, Qian, Agu, Emmanuel O.

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Privacy-Preserving Deep Speaker Separation for Smartphone-Based Passive Speech Assessment von Ditthapron, Apiwat, Agu, Emmanuel O., Lammert, Adam C.

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Diabetic Foot Ulcer Ischemia and Infection Classification Using EfficientNet Deep Learning Models von Liu, Ziyang, John, Josvin, Agu, Emmanuel

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Breast Cancer Tumor Classification Using a Bag of Deep Multi-Resolution Convolutional Features von Clement, David, Agu, Emmanuel, Obayemi, John, Adeshina, Steve, Soboyejo, Wole

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Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future Directions von Boudreaux, Edwin D., Rundensteiner, Elke, Liu, Feifan, Wang, Bo, Larkin, Celine, Agu, Emmanuel, Ghosh, Samiran, Semeter, Joshua, Simon, Gregory, Davis-Martin, Rachel E.

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Chronic Wound Image Augmentation and Assessment Using Semi-Supervised Progressive Multi-Granularity EfficientNet von Liu, Ziyang, Agu, Emmanuel, Pedersen, Peder, Lindsay, Clifford, Tulu, Bengisu, Strong, Diane

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OA-Pain-Sense: Machine Learning Prediction of Hip and Knee Osteoarthritis Pain from IMU Data von Almuhammadi, Wafaa Salem, Agu, Emmanuel, King, Jean, Franklin, Patricia

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Multi-Class Breast Cancer Histopathological Image Classification Using Multi-Scale Pooled Image Feature Representation (MPIFR) and One-Versus-One Support Vector Machines von Clement, David, Agu, Emmanuel, Suleiman, Muhammad A., Obayemi, John, Adeshina, Steve, Soboyejo, Wole

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Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers von Busaranuvong, Palawat, Agu, Emmanuel, Kumar, Deepak, Gautam, Shefalika, Fard, Reza Saadati, Tulu, Bengisu, Strong, Diane

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Endothelial cells derived from patients' induced pluripotent stem cells for sustained factor VIII delivery and the treatment of hemophilia A von Rose, Melanie, Gao, Kewa, Cortez‐Toledo, Elizabeth, Agu, Emmanuel, Hyllen, Alicia A., Conroy, Kelsey, Pan, Guangjin, Nolta, Jan A., Wang, Aijun, Zhou, Ping

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ARGUS: Interactive visual analysis of disruptions in smartphone-detected Bio-Behavioral Rhythms von Mansoor, Hamid, Gerych, Walter, Alajaji, Abdulaziz, Buquicchio, Luke, Chandrasekaran, Kavin, Agu, Emmanuel, Rundensteiner, Elke

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INPHOVIS: Interactive visual analytics for smartphone-based digital phenotyping von Mansoor, Hamid, Gerych, Walter, Alajaji, Abdulaziz, Buquicchio, Luke, Chandrasekaran, Kavin, Agu, Emmanuel, Rundensteiner, Elke, Rodriguez, Angela Incollingo

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