Assessment of physical rehabilitation movements through dimensionality reduction and statistical modeling von Williams, Christian, Vakanski, Aleksandar, Lee, Stephen, Paul, David

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Trajectory Learning for Robot Programming by Demonstration Using Hidden Markov Model and Dynamic Time Warping von Vakanski, A., Mantegh, I., Irish, A., Janabi-Sharifi, F.

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A Deep Learning Framework for Assessing Physical Rehabilitation Exercises von Liao, Y, Vakanski, A, Xian, M

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Generative adversarial networks for generation and classification of physical rehabilitation movement episodes von L Li, Vakanski, A

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Transferring skills to robots for tasks with cyclic motions via dynamical systems approach von Vakanski, A., Janabi-Sharifi, F., Mantegh, I.

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Attention-Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images von Vakanski, Aleksandar, Xian, Min, Freer, Phoebe E.

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Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review von Alharbi, Fadi, Vakanski, Aleksandar

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Potato crop stress identification in aerial images using deep learning‐based object detection von Butte, Sujata, Vakanski, Aleksandar, Duellman, Kasia, Wang, Haotian, Mirkouei, Amin

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Uncertainty quantification in multivariable regression for material property prediction with Bayesian neural networks von Li, Longze, Chang, Jiang, Vakanski, Aleksandar, Wang, Yachun, Yao, Tiankai, Xian, Min

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A review of computational approaches for evaluation of rehabilitation exercises von Liao, Yalin, Vakanski, Aleksandar, Xian, Min, Paul, David, Baker, Russell

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BI-RADS-NET-V2: A Composite Multi-Task Neural Network for Computer-Aided Diagnosis of Breast Cancer in Ultrasound Images With Semantic and Quantitative Explanations von Zhang, Boyu, Vakanski, Aleksandar, Xian, Min

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Food Insecurity Among Community College Caregivers During the COVID-19 Pandemic von Soria, Krista M., Vakanski, Stacey E., White, Trevor, Arp, Ryan

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An image-based trajectory planning approach for robust robot programming by demonstration von Vakanski, Aleksandar, Janabi-Sharifi, Farrokh, Mantegh, Iraj

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Soft-Label Supervised Meta-Model with Adversarial Samples for Uncertainty Quantification von Lucke, Kyle, Vakanski, Aleksandar, Xian, Min

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Generative Adversarial Networks for Generation and Classification of Physical Rehabilitation Movement Episodes von Li, Longze, Vakanski, Aleksandar

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Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images von Wang, Haotian, Vakanski, Aleksandar, Shi, Changfa, Xian, Min

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Semantic-Aware Adaptive Binary Search for Hard-Label Black-Box Attack von Ma, Yiqing, Lucke, Kyle, Xian, Min, Vakanski, Aleksandar

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A Data Set of Human Body Movements for Physical Rehabilitation Exercises von Vakanski, Aleksandar, Jun, Hyung-Pil, Paul, David, Baker, Russell

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Machine Learning for Additive Manufacturing of Functionally Graded Materials von Karimzadeh, Mohammad, Basvoju, Deekshith, Vakanski, Aleksandar, Charit, Indrajit, Xu, Fei, Zhang, Xinchang

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Dataset of tensile properties for sub-sized specimens of nuclear structural materials von Li, Longze, Merickel, John W., Tang, Yalei, Song, Rongjie, Rittenhouse, Joshua E., Vakanski, Aleksandar, Xu, Fei

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