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2,278 results on '"Baxter, John"'

12. Introduction to Probability

Author

Baxter, John R., author

Subjects
Mathematics, Statistics, Textbooks
Abstract

This is an introduction to probability theory, designed for self-study. It covers the same topics as the one-semester introductory courses which I taught at the University of Minnesota, with some extra discussion for reading on your own. The reasons which underlie the rules of probability are emphasized. Probability theory is certainly useful. But how does it feel to study it? Well, like other areas of mathematics, probability theory contains elegant concepts, and it gives you a chance to exercise your ingenuity, which is often fun. But in addition, randomness and probability are part of our experience in the real world, present everywhere and yet still somewhat mysterious. This gives the subject of probability a special interest.

Published
2023

17. The Impact of Ferric Derisomaltose on Cardiovascular and Noncardiovascular Events in Patients With Anemia, Iron Deficiency, and Heart Failure With Reduced Ejection Fraction

Author

Kalra, Paul, Cowan, Elena, Howe, Serena, Turner, Charlotte, Austin, Rosalynn, Lane, Rebeca, Rogers, Paula, Foley, Paul, Chandrasekaran, Badri, Fraile, Eva, Kyeremeh, Lynsey, Ahmed, Fozia, Petrie, Mark, McGregor, Lorraine, Osmanska, Joanna, Graham, Fraser, Lang, Ninian, Meyer, Barbara, Ahmad, Faheem, Squire, Iain, Fisher, Jude, Kalra, Philip, Summersgill, Christina, Adeniji, Katarzyna, Chinnadurai, Rajkumar, Ludman, Andrew, Massimo, Lisa, Hardman, Clare, Sykes, Daisy, Cowburn, Peter, Frank, Sarah, Smith, Simon, Japp, Alan, Anwar, Mohamed, Whittington, Beth, Seed, Alison, Ray, Robin, Sookhoo, Vennessa, Al-Mohammad, Abdallah, Middle, Janet, Housley, Kay, Clark, Andrew, Bulemfu, Jeanne, Critoph, Christopher, Chong, Victor, Wood, Stephen, Szwejkowski, Benjamin, Lang, Chim, Duff, Jackie, MacDonald, Susan, Schiff, Rebekah, Donnelly, Patrick, Nageh, Thuraia, Kunhunny, Swapna, Gardner, Roy, McAdam, Marion, McPherson, Elizabeth, Banerjee, Prithwish, Sear, Eleanor, Edwards, Nigel, Glover, Jason, Pellicori, Pierpaolo, Murphy, Clare, Cooke, Justin, Spencer, Charles, Francis, Mark, Matthews, Iain, McKie, Hayley, Marshall, Andrew, Large, Janet, Stratford, Jenny, Clifford, Piers, Tavares, Sara, Boos, Christopher, Keeling, Philip, Hughes, Debbie, Wong, Aaron, Jones, Deborah, James, Alex, Williams, Rhys, Leslie, Stephen, Finlayson, Jim, Hannah, Andrew, Campbell, Philip, Walsh, John, Quinn, Jane, Chapman, Callum, Piper, Susan, Gupta, Preeti, Sim, Victor, Knibbs, Lucy, Lyons, Kristopher, Dixon, Lana, Petrie, Colin, Wong, Yuk-ki, Labinjoh, Catherine, Duckett, Simon, Massey, Ian, Savage, Henry, Matias, Sofia, Ramirez, Jonaifah, Manisty, Charlotte, Hussain, Ifza, Sankaranarayanan, Rajiv, Davis, Gershan, McClure, Samuel, Baxter, John, Wicks, Eleanor, Sobolewska, Jolanta, Murphy, Jerry, Elzayat, Ahmed, Cooke, Alastair, Wright, Jay, Williams, Simon, Muthumala, Amal, Chaggar, Parminder, Ellis, Gethin, Welch, Mandie, Bulugahapitiya, Sudantha, Jackson, Thomas, Pakrashi, Tapesh, Bakhai, Ameet, Gamma, Reto, Ellery, Susan, Jenkins, Geraint, Nightingale, Angus, Thomson, Elizabeth, Ford, Ian, Robertson, Michele, Greenlaw, Nicola, Wetherall, Kirsty, Clarke, Ross, Graham, Christopher, Kean, Sharon, Stevenson, Alan, Wilson, Robbie, Boyle, Sarah, McHugh, John, Hall, Lisa, Woollard, Joanne, Brunton, Claire, Dinnett, Eleanor, Reid, Amanda, Nicholls, Jill, Cunnington, Anna, Douglas, Elizabeth, Fegen, Margaret, Jones, Marc, McGowan, Sheila, Ross, Barbara, Sandu, Pamela, Surtees, Pamela, Stuart, Debra, Cleland, John G.F., Ahmed, Fozia Z., Cowburn, Peter J., Critoph, Chris, Kalra, Philip A., Lane, Rebecca E., Petrie, Mark C., Robertson, Michelle, and Kalra, Paul R.

Published
2024
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18. The forgotten ocean: Why COP26 must call for vastly greater ambition and urgency to address ocean change

Author

Laffoley, Dan, Baxter, John M, Amon, Diva J, Claudet, Joachim, Downs, Craig A, Earle, Sylvia A, Gjerde, Kristina M, Hall‐Spencer, Jason M, Koldewey, Heather J, Levin, Lisa A, Reid, Chris P, Roberts, Callum M, Sumaila, Rashid U, Taylor, Michelle L, Thiele, Torsten, and Woodall, Lucy C

Subjects
Climate Action, climate change, COP, management action, ocean conservation, protection, Environmental Sciences, Biological Sciences, Agricultural and Veterinary Sciences, Marine Biology & Hydrobiology
Published
2022

19. Flock Navigation by Coordinated Shepherds via Reinforcement Learning

Author

Hasan, Yazied, Baxter, John E. G., Salcedo, César A., Delgado, Elena, Tapia, Lydia, Siciliano, Bruno, Series Editor, Khatib, Oussama, Series Editor, Antonelli, Gianluca, Advisory Editor, Fox, Dieter, Advisory Editor, Harada, Kensuke, Advisory Editor, Hsieh, M. Ani, Advisory Editor, Kröger, Torsten, Advisory Editor, Kulic, Dana, Advisory Editor, Park, Jaeheung, Advisory Editor, LaValle, Steven M., editor, O’Kane, Jason M., editor, Otte, Michael, editor, Sadigh, Dorsa, editor, and Tokekar, Pratap, editor

Published
2023
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21. Separable vs. End-to-End Learning: A Critical Examination of Learning Paradigms

Author

Baxter, John S. H., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Baxter, John S. H., editor, Rekik, Islem, editor, Eagleson, Roy, editor, Zhou, Luping, editor, Syeda-Mahmood, Tanveer, editor, Wang, Hongzhi, editor, and Hajij, Mustafa, editor

Published
2022
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23. Preserving while designing

Author

Kohlberg, Edmund F. and Baxter, John

Subjects
BUILDING AND CONSTRUCTION - Design, ARCHITECTURE - United States
Abstract

illus

Published
2005

25. Cello Concerto No. 1

Author

Baxter, John

Abstract

This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.

Published
2020

26. Pitch Quiet

Author

Baxter, John

Abstract

This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.

Published
2020

27. Missing Memories

Author

Baxter, John

Abstract

This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.

Published
2020

28. Diffusion Tensor Imaging Biomarkers for Parkinson’s Disease Symptomatology

Author

Estudillo Romero, Alfonso, Haegelen, Claire, Jannin, Pierre, Baxter, John S. H., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kakileti, Siva Teja, editor, Gabrani, Maria, editor, Manjunath, Geetha, editor, Rosen-Zvi, Michal, editor, Braman, Nathaniel, editor, Schwartz, Robert G., editor, Frangi, Alejandro F., editor, Chung, Pau-Choo, editor, Weight, Christopher, editor, and Jagadish, Vekataraman, editor

Published
2022
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31. Intravenous ferric derisomaltose in patients with heart failure and iron deficiency in the UK (IRONMAN): an investigator-initiated, prospective, randomised, open-label, blinded-endpoint trial

Author

Kalra, Paul R, Cleland, John GF, Petrie, Mark C, Thomson, Elizabeth A, Kalra, Philip A, Squire, Iain B, Ahmed, Fozia Z, Al-Mohammad, Abdallah, Cowburn, Peter J, Foley, Paul WX, Graham, Fraser J, Japp, Alan G, Lane, Rebecca E, Lang, Ninian N, Ludman, Andrew J, Macdougall, Iain C, Pellicori, Pierpaolo, Ray, Robin, Robertson, Michele, Seed, Alison, Ford, Ian, Boon, Nicholas, Amoils, Shannon, Chapman, Callum, Diness, Thomas G, McMurray, John, Mindham, Richard, Sandu, Pamela, Strom, Claes C, Travers, Maureen, Wilcox, Robert, Struthers, Allan, Mark, Patrick, Weir, Christopher, Cowan, Elena, Turner, Charlotte, Austin, Rosalynn, Rogers, Paula, Chandrasekaran, Badri, Fraile, Eva, Kyeremeh, Lynsey, McGregor, Lorraine, Osmanska, Joanna, Meyer, Barbara, Ahmad, Faheem, Fisher, Jude, Summersgill, Christina, Adeniji, Katarzyna, Chinnadurai, Rajkumar, Massimo, Lisa, Hardman, Clare, Sykes, Daisy, Frank, Sarah, Smith, Simon, Anwar, Mohamed, Whittington, Beth, Sookhoo, Vennessa, Lyons, Sinead, Middle, Janet, Housley, Kay, Clark, Andrew, Bulemfu, Jeanne, Critoph, Christopher, Chong, Victor, Wood, Stephen, Szwejkowski, Benjamin, Lang, Chim, Duff, Jackie, MacDonald, Susan, Schiff, Rebekah, Donnelly, Patrick, Nageh, Thuraia, Kunhunny, Swapna, Gardner, Roy, McAdam, Marion, McPherson, Elizabeth, Banerjee, Prithwish, Sear, Eleanor, Edwards, Nigel, Glover, Jason, Murphy, Clare, Cooke, Justin, Spencer, Charles, Francis, Mark, Matthews, Iain, McKie, Hayley, Marshall, Andrew, Large, Janet, Stratford, Jenny, Clifford, Piers, Boos, Christopher, Keeling, Philip, Hughes, Debbie, Wong, Aaron, Jones, Deborah, James, Alex, Williams, Rhys, Leslie, Stephen, Finlayson, Jim, Hannah, Andrew, Campbell, Philip, Walsh, John, Quinn, Jane, Piper, Susan, Patale, Sheetal, Gupta, Preeti, Sim, Victor, Knibbs, Lucy, Lyons, Kristopher, Dixon, Lana, Petrie, Colin, Wong, Yuk-ki, Labinjoh, Catherine, Duckett, Simon, Massey, Ian, Savage, Henry, Matias, Sofia, Ramirez, Jonaifah, Manisty, Charlotte, Hussain, Ifza, Sankaranarayanan, Rajiv, Davis, Gershan, McClure, Samuel, Baxter, John, Wicks, Eleanor, Sobolewska, Jolanta, Murphy, Jerry, Elzayat, Ahmed, Cooke, Alastair, Wright, Jay, Williams, Simon, Muthumala, Amal, Chaggar, Parminder, Webber, Sue, Ellis, Gethin, Welch, Mandie, Bulugahapitiya, Sudantha, Jackson, Thomas, Pakrashi, Tapesh, Bakhai, Ameet, Krishnamurthy, Vinodh, Gamma, Reto, Ellery, Susan, Jenkins, Geraint, Thomas, Gladdys, Nightingale, Angus, Greenlaw, Nicola, Wetherall, Kirsty, Clarke, Ross, Graham, Christopher, Kean, Sharon, Stevenson, Alan, Wilson, Robbie, Boyle, Sarah, McHugh, John, Hall, Lisa, Woollard, Joanne, Brunton, Claire, Dinnett, Eleanor, Reid, Amanda, Howe, Serena, Nicholls, Jill, Cunnington, Anna, Douglas, Elizabeth, Fegen, Margaret, Jones, Marc, McGowan, Sheila, Ross, Barbara, Surtees, Pamela, Stuart, Debra, Cleland, John G F, and Foley, Paul W X

Published
2022
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44. Using machine learning to reveal doxorubicin induced cardiotoxicity pathways in cardiomyocytes

Author

Baxter, John and Baxter, John

Abstract

Doxorubicin is an effective anti-cancer drug, but its use is limited by dose-dependent cardiotoxicity, leading to long-term heart damage. This thesis explores the application of machine learning and deep learning models to analyse single-cell RNA sequencing data from cardiomyocytes exposed to doxorubicin. Models found that Drug_D2 samples were easily classified, achieving an AUC of ~0.9, while distinguishing between Control_D2/14 and Drug_D14 samples proved more challenging, with AUCs ranging from ~0.7 to 0.8. Classic ML models, such as Logistic Regression, Random Forest, and XGBoost, showed higher consistency in identifying important features linked to known cardiotoxic pathways compared to artificial neural networks. However, ANNs may uncover previously unexplored features significant for understanding doxorubicin-induced cardiotoxicity. Future work should explore DL models’ types, integrate multi-omics data, and explore unprocessed data to enhance feature extraction, aiming to improve prediction models for patient-specific cardiotoxicity risks and guide new therapeutic strategies.

Published
2024

45. A Continuous Max-Flow Approach to Cyclic Field Reconstruction

Author

Baxter, John S. H., McLeod, Jonathan, and Peters, Terry M.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Reconstruction of an image from noisy data using Markov Random Field theory has been explored by both the graph-cuts and continuous max-flow community in the form of the Potts and Ishikawa models. However, neither model takes into account the particular cyclic topology of specific intensity types such as the hue in natural colour images, or the phase in complex valued MRI. This paper presents \textit{cyclic continuous max-flow} image reconstruction which models the intensity being reconstructed as having a fundamentally cyclic topology. This model complements the Ishikawa model in that it is designed with image reconstruction in mind, having the topology of the intensity space inherent in the model while being readily extendable to an arbitrary intensity resolution., Comment: 8 pages, 1 figure

Published
2015

46. Shape Complexes in Continuous Max-Flow Hierarchical Multi-Labeling Problems

Author

Baxter, John S. H., Yuan, Jing, and Peters, Terry M.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Although topological considerations amongst multiple labels have been previously investigated in the context of continuous max-flow image segmentation, similar investigations have yet to be made about shape considerations in a general and extendable manner. This paper presents shape complexes for segmentation, which capture more complex shapes by combining multiple labels and super-labels constrained by geodesic star convexity. Shape complexes combine geodesic star convexity constraints with hierarchical label organization, which together allow for more complex shapes to be represented. This framework avoids the use of co-ordinate system warping techniques to convert shape constraints into topological constraints, which may be ambiguous or ill-defined for certain segmentation problems., Comment: 9 pages, 1 figure

Published
2015

47. A Proximal Bregman Projection Approach to Continuous Max-Flow Problems Using Entropic Distances

Author

Baxter, John S. H., Rajchl, Martin, Yuan, Jing, and Peters, Terry M.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

One issue limiting the adaption of large-scale multi-region segmentation is the sometimes prohibitive memory requirements. This is especially troubling considering advances in massively parallel computing and commercial graphics processing units because of their already limited memory compared to the current random access memory used in more traditional computation. To address this issue in the field of continuous max-flow segmentation, we have developed a \textit{pseudo-flow} framework using the theory of Bregman proximal projections and entropic distances which implicitly represents flow variables between labels and designated source and sink nodes. This reduces the memory requirements for max-flow segmentation by approximately 20\% for Potts models and approximately 30\% for hierarchical max-flow (HMF) and directed acyclic graph max-flow (DAGMF) models. This represents a great improvement in the state-of-the-art in max-flow segmentation, allowing for much larger problems to be addressed and accelerated using commercially available graphics processing hardware., Comment: 10 pages

Published
2015

49. A Continuous Max-Flow Approach to Multi-Labeling Problems under Arbitrary Region Regularization

Author

Baxter, John S. H., Rajchl, Martin, Yuan, Jing, and Peters, Terry M.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

The incorporation of region regularization into max-flow segmentation has traditionally focused on ordering and part-whole relationships. A side effect of the development of such models is that it constrained regularization only to those cases, rather than allowing for arbitrary region regularization. Directed Acyclic Graphical Max-Flow (DAGMF) segmentation overcomes these limitations by allowing for the algorithm designer to specify an arbitrary directed acyclic graph to structure a max-flow segmentation. This allows for individual 'parts' to be a member of multiple distinct 'wholes.', Comment: 10 pages, 2 figures, 3 algorithms - v2: Fixed typos / grammatical errors and mathematical errors in the primal/dual formulation. Extended methods for weighted DAGs rather than DAGs with edge multiplicity

Published
2014

50. RANCOR: Non-Linear Image Registration with Total Variation Regularization

Author

Rajchl, Martin, Baxter, John S. H., Qiu, Wu, Khan, Ali R., Fenster, Aaron, Peters, Terry M., and Yuan, Jing

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Optimization techniques have been widely used in deformable registration, allowing for the incorporation of similarity metrics with regularization mechanisms. These regularization mechanisms are designed to mitigate the effects of trivial solutions to ill-posed registration problems and to otherwise ensure the resulting deformation fields are well-behaved. This paper introduces a novel deformable registration algorithm, RANCOR, which uses iterative convexification to address deformable registration problems under total-variation regularization. Initial comparative results against four state-of-the-art registration algorithms are presented using the Internet Brain Segmentation Repository (IBSR) database., Comment: 9 pages, 1 figure, technical note

Published
2014

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