A Practical Tutorial on Graph Neural Networks von Ward, Isaac Ronald, Joyner, Jack, Lickfold, Casey, Guo, Yulan, Bennamoun, Mohammed

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Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes? von Ward, Isaac Ronald, Wang, Ling, Lu, Juan, Bennamoun, Mohammed, Dwivedi, Girish, Sanfilippo, Frank M

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A comparative study on optical flow for facial expression analysis von Allaert, B., Ward, I.R., Bilasco, I.M., Djeraba, C., Bennamoun, M.

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Improving Contrastive Learning on Visually Homogeneous Mars Rover Images von Ward, Isaac Ronald, Moore, Charles, Pak, Kai, Chen, Jingdao, Goh, Edwin

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Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function von Ward, Isaac Ronald, Jalwana, M. A. Asim K., Bennamoun, Mohammed

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Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics von Ward, Isaac Ronald, Asmar, Dylan M, Mansur Arief, Mike, Jana Krystofova, Kochenderfer, Mykel J

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RGB-D image-based Object Detection: from Traditional Methods to Deep Learning Techniques von Ward, Isaac Ronald, Laga, Hamid, Bennamoun, Mohammed

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Improving Contrastive Learning on Visually Homogeneous Mars Rover Images von Ward, Isaac Ronald, Moore, Charles, Pak, Kai, Chen, Jingdao, Goh, Edwin

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Optical Flow Techniques for Facial Expression Analysis -- a Practical Evaluation Study von Allaert, Benjamin, Ward, Isaac Ronald, Bilasco, Ioan Marius, Djeraba, Chaabane, Bennamoun, Mohammed

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Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes? von Ward, Isaac Ronald, Wang, Ling, lu, Juan, Bennamoun, Mohammed, Dwivedi, Girish, Sanfilippo, Frank M

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Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function von Ward, Isaac Ronald, Jalwana, M. A. Asim K, Bennamoun, Mohammed

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A Practical Tutorial on Graph Neural Networks von Ward, Isaac Ronald, Joyner, Jack, Lickfold, Casey, Guo, Yulan, Bennamoun, Mohammed

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RGB-D image-based Object Detection: from Traditional Methods to Deep Learning Techniques von Ward, Isaac Ronald, Laga, Hamid, Bennamoun, Mohammed

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Improving Contrastive Learning on Visually Homogeneous Mars Rover Images von Ward, Isaac Ronald, Moore, Charles, Pak, Kai, Chen, Jingdao, Goh, Edwin

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A Practical Tutorial on Graph Neural Networks von Ward, Isaac Ronald, Joyner, Jack, Casey Lickfold, Guo, Yulan, Bennamoun, Mohammed

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Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function von Ward, Isaac Ronald, M A Asim K Jalwana, Bennamoun, Mohammed

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Metabolic and Organelle Morphology Defects in Mice and Human Patients Define Spinocerebellar Ataxia Type 7 as a Mitochondrial Disease von Ward, Jacqueline M., Stoyas, Colleen A., Switonski, Pawel M., Ichou, Farid, Fan, Weiwei, Collins, Brett, Wall, Christopher E., Adanyeguh, Isaac, Niu, Chenchen, Sopher, Bryce L., Kinoshita, Chizuru, Morrison, Richard S., Durr, Alexandra, Muotri, Alysson R., Evans, Ronald M., Mochel, Fanny, La Spada, Albert R.

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Developmental Exposure to Polychlorinated Biphenyls Interferes with Experience-Dependent Dendritic Plasticity and Ryanodine Receptor Expression in Weanling Rats von Yang, Dongren, Kim, Kyung Ho, Phimister, Andrew, Bachstetter, Adam D., Ward, Thomas R., Stackman, Robert W., Mervis, Ronald F., Wisniewski, Amy B., Klein, Sabra L., Kodavanti, Prasada Rao S., Anderson, Kim A., Wayman, Gary, Pessah, Isaac N., Lein, Pamela J.

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The future is now: Model-based clinical trial design for Alzheimer's disease von Romero, K, Ito, K, Rogers, JA, Polhamus, D, Qiu, R, Stephenson, D, Mohs, R, Lalonde, R, Sinha, V, Wang, Y, Brown, D, Isaac, M, Vamvakas, S, Hemmings, R, Pani, L, Bain, LJ, Corrigan, B

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Inhaled hypertonic saline in preschool children with cystic fibrosis (SHIP): a multicentre, randomised, double-blind, placebo-controlled trial von Ratjen, Felix, Davis, Stephanie D, Stanojevic, Sanja, Kronmal, Richard A, Hinckley Stukovsky, Karen D, Jorgensen, Neal, Rosenfeld, Margaret, Kerby, Gwen, Kopecky, Carol, Anthony, Meg, Mogayzel, Peter, Walker, Doug, Zeglin, Britany, Hoover, Wynton, Hathorne, Heather, Slaten, Katie, Dorkin, Henry (Hank), Fowler, Robert, Fenton, Cole (Nicolas), Ulles, Monica, Goetz, Danielle, Caci, Nadine, Cahill, Beth, Roach, Christine, Retsch-Bogart, George, Johnson, Robin, Cunnion, Rose, McColley, Susanna, Ward, Steven, Bell, Emily, McPhail, Gary, Keller, Kimberly, Thornton, Kelly, Parsons, Ashlee, Chmiel, James, Schaefer, Cindy, Tribout, Megan, Consiglio, Brittany, Tribout, Heather, McCoy, Karen, Johnson, Terri, Olson, Patti, Raterman, Laura, Hiatt, Peter, Walker, Betty, Schaap, Nicoline, Davis, Miriam, Davis, Stephanie, Clem, Charles, Bendy, Lisa, Starner, Tim, Lux, Cheri, Carver, Terrence, Thompson, Rose, Williams, April, Schmoll, Candy, Hastings, Patricia M., Noe, Julie, Roth, Laura, Kump, Theresa, McNamara, John, Franck Thompson, Elizabeth, Yousef, Shatha, Wezel, Germaine (Gigi), Oquendo, Omar, Darling, Amanda, Valencia, Wendy, Milla, Carlos, Zirbes, Jackie, Rubenstein, Ronald, Donnelly, Erin, Malpass, Jean, Weiner, Daniel, Agostini, Brittani, Hartigan, Elizabeth, Cornell, Alexandra, Klein, Brendan, Bucher, Jenna, Nusbaum, Pierce, Rosenfeld, Margaret, McNamara, Sharon, Genatossio, Alan, Pittman, Jessica, Hicks, Tina, Bauer, Irma, Siegel, Molly, Isaac, Sarah, Jensen, Renee, Au, Jacky, Stanojevic, Sanja, Ratjen, Felix, McDonald, Nancy, Prentice, Carley, Chilvers, Mark, Richmond, Melissa

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