Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Sakrapee Paisitkriangkrai"'
Autor:
Luciano Dalla Pozza, Andrew C.W. Zannettino, Deborah L. White, Rosemary Sutton, Jacqueline E. Noll, Sakrapee Paisitkriangkrai, Vicki J Wilczek, Nicola C. Venn, Tamara Law, Alanah L. Bradey, Lynda Saunders, Colin Story, Tamas Revesz, Chung H. Kok, Glenn M. Marshall, Stephen Fitter
Publikováno v:
British Journal of Haematology. 193:171-175
Disease relapse is the greatest cause of treatment failure in paediatric B-cell acute lymphoblastic leukaemia (B-ALL). Current risk stratifications fail to capture all patients at risk of relapse. Herein, we used a machine-learning approach to identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::855a72eb142d5548292de64cea8afb02
https://doi.org/10.1111/bjh.17161
https://doi.org/10.1111/bjh.17161
Autor:
Andrew C.W. Zannettino, Kelly Quek, Anissa Jabbour, Sakrapee Paisitkriangkrai, Chung H. Kok, Eva Nievergall
Publikováno v:
Molecular Genetics and Genomics. 293:1217-1229
Recurrent oncogenic fusion genes play a critical role in the development of various cancers and diseases and provide, in some cases, excellent therapeutic targets. To date, analysis tools that can identify and compare recurrent fusion genes across mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c32a80482561c43a7f602a2760b4f664
https://doi.org/10.1007/s00438-018-1454-1
https://doi.org/10.1007/s00438-018-1454-1
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9:2868-2881
Inspired by the recent success of deep convolutional neural networks (CNNs) and feature aggregation in the field of computer vision and machine learning, we propose an effective approach to semantic pixel labeling of aerial and satellite imagery usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5edd81d575fe1c153096656fb70b054f
https://doi.org/10.1109/jstars.2016.2582921
https://doi.org/10.1109/jstars.2016.2582921
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 38:1243-1257
Many typical applications of object detection operate within a prescribed false-positive range. In this situation the performance of a detector should be assessed on the basis of the area under the ROC curve over that range, rather than over the full
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49ae2ce23ddbc09bedc99cae805771df
https://doi.org/10.1109/tpami.2015.2474388
https://doi.org/10.1109/tpami.2015.2474388
Publikováno v:
IEEE Transactions on Multimedia. 16:1254-1267
Cascade classifiers are one of the most important contributions to real-time object detection. Nonetheless, there are many challenging problems arising in training cascade detectors. One common issue is that the node classifier is trained with a symm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bbb7791a71636011f3831be58d532fd
https://doi.org/10.1109/tmm.2014.2308723
https://doi.org/10.1109/tmm.2014.2308723
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 25:1002-1013
We present a scalable and effective classification model to train multiclass boosting for multiclass classification problems. A direct formulation of multiclass boosting had been introduced in the past in the sense that it directly maximized the mult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::519f3a78f6c8b1117720b89160282303
https://doi.org/10.1109/tnnls.2013.2282369
https://doi.org/10.1109/tnnls.2013.2282369
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 25:764-779
We propose a novel boosting approach to multiclass classification problems, in which multiple classes are distinguished by a set of random projection matrices in essence. The approach uses random projections to alleviate the proliferation of binary c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ad8bca0ce8d29c549bcb78f98594fb8
https://doi.org/10.1109/tnnls.2013.2281214
https://doi.org/10.1109/tnnls.2013.2281214
Autor:
Sarah M. Erfani, Sakrapee Paisitkriangkrai, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao, Nguyen Xuan Vinh
Publikováno v:
ICPR
Regularization plays an important role in machine learning systems. We propose a novel methodology for model regularization using random projection. We demonstrate the technique on neural networks, since such models usually comprise a very large numb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9afe243ac65dae5828721355219251c
https://doi.org/10.1109/icpr.2016.7899688
https://doi.org/10.1109/icpr.2016.7899688
Publikováno v:
International Journal of Computer Mathematics. 88:3817-3833
Searching for near-duplicate content has become an important task in many multimedia applications, for example, images, videos and music. The ability to detect duplicate videos plays an important role in several video applications, for example, effec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86cbad676cebb63624b1cbb9c9c99ea6
https://doi.org/10.1080/00207160.2011.592940
https://doi.org/10.1080/00207160.2011.592940
Autor:
Agnes S. M. Yong, Timothy P. Hughes, Chung H. Kok, Phuong Dang, David T Yeung, Deborah L. White, Liu Liu, Sakrapee Paisitkriangkrai, Verity A Saunders
Publikováno v:
Blood. 132:1728-1728
Introduction. Imatinib has revolutionised the treatment of chronic phase-chronic myeloid leukemia (CP-CML), with up to 70% of patients (pts) achieving major molecular response (MMR, BCR-ABL1 < 0.1% IS). Achievement of MMR by 2 years (yrs) is associat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8e4fa46275fe77b84ad5178d3cb8617
https://doi.org/10.1182/blood-2018-99-117633
https://doi.org/10.1182/blood-2018-99-117633