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2010 – 2019
- 2017
[c14]Behzad Bozorgtabar
, Zongyuan Ge, Rajib Chakravorty, Mani Abedini, Sergey Demyanov, Rahil Garnavi:
Investigating deep side layers for skin lesion segmentation. ISBI 2017: 256-260- [c13]Zongyuan Ge, Sergey Demyanov, Behzad Bozorgtabar, Mani Abedini, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi:
Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging. ISBI 2017: 986-990 - 2016
- [c12]Mani Abedini, Noel C. F. Codella, Rajib Chakravorty, Rahil Garnavi, David A. Gutman, Brian Helba, John R. Smith:
Multi-scale classification based lesion segmentation for dermoscopic images. EMBC 2016: 1361-1364 - [c11]Rajib Chakravorty, Sisi Liang, Mani Abedini, Rahil Garnavi:
Dermatologist-like feature extraction from skin lesion for improved asymmetry classification in PH2 database. EMBC 2016: 3855-3858 - [c10]Sergey Demyanov, Rajib Chakravorty, Mani Abedini, Alan Halpern, Rahil Garnavi:
Classification of dermoscopy patterns using deep convolutional neural networks. ISBI 2016: 364-368 - [c9]Behzad Bozorgtabar, Mani Abedini, Rahil Garnavi:
Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement. MLMI@MICCAI 2016: 254-261 - 2015
- [j3]Benjamin Goudey, Mani Abedini, John L. Hopper, Michael Inouye, Enes Makalic, Daniel F. Schmidt, John Wagner, Zeyu Zhou, Justin Zobel, Matthias Reumann:
High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies. Health Inf. Sci. Syst. 3(1) (2015) - [j2]Mani Abedini, Noel C. F. Codella, Jonathan H. Connell, Rahil Garnavi, Michele Merler, Sharath Pankanti, John R. Smith, Tanveer F. Syeda-Mahmood:
A generalized framework for medical image classification and recognition. IBM J. Res. Dev. 59(2/3) (2015) - [c8]Suman Sedai, Xi Liang, Mani Abedini, Qiang Chen, Rajib Chakravorty, Rahil Garnavi:
IBM Research at Image CLEF 2015: Medical Clustering Task. CLEF (Working Notes) 2015 - [c7]Mani Abedini, Stefan von Cavallar, Rajib Chakravorty, Matthew Davis, Rahil Garnavi:
A Cloud-Based Infrastructure for Feedback-Driven Training and Image Recognition. MedInfo 2015: 691-695 - [c6]Noel Codella, Junjie Cai, Mani Abedini, Rahil Garnavi, Alan Halpern, John R. Smith:
Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images. MLMI 2015: 118-126 - 2014
- [c5]Qiang Chen, Mani Abedini, Rahil Garnavi, Xi Liang:
IBM Research Australia at LifeCLEF2014: Plant Identification Task. CLEF (Working Notes) 2014: 693-704 - 2013
- [b1]Mani Abedini:
Towards high-dimensional classification using Michigan style generic based machine learning. University of Melbourne, Australia, 2013 - [j1]Mani Abedini, Michael Kirley:
An enhanced XCS rule discovery module using feature ranking. Int. J. Mach. Learn. Cybern. 4(3): 173-187 (2013) - [c4]Mani Abedini, Michael Kirley, Raymond Chiong, Thomas Weise:
GPU-accelerated eXtended Classifier System. CIDM 2013: 293-300 - 2011
- [c3]Mani Abedini, Michael Kirley:
Guided Rule Discovery in XCS for High-Dimensional Classification Problems. Australasian Conference on Artificial Intelligence 2011: 1-10 - 2010
- [c2]Mani Abedini, Michael Kirley:
A multiple population XCS: Evolving condition-action rules based on feature space partitions. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [c1]Mani Abedini, Michael Kirley:
CoXCS: A Coevolutionary Learning Classifier Based on Feature Space Partitioning. Australasian Conference on Artificial Intelligence 2009: 360-369
Coauthor Index
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