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» Generating Diagnoses from Conflict Sets
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82
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BIBE
2007
IEEE
126views Bioinformatics» more  BIBE 2007»
15 years 1 days ago
An End-to-End Process for Cancer Identification from Images of Lung Tissue
— This research describes a non-interactive process that applies several forms of computational intelligence to the task of classifying biopsy lung tissue samples based on visual...
Walker H. Land Jr., Daniel W. McKee, Tatyana Zhuko...
81
Voted
JSA
1998
74views more  JSA 1998»
14 years 10 months ago
Windowed active sampling for reliable neural learning
The composition of the example set has a major impact on the quality of neural learning. The popular approach is focused on extensive preprocessing to bridge the representation ga...
Emilia I. Barakova, Lambert Spaanenburg
87
Voted
JAIR
2010
165views more  JAIR 2010»
14 years 8 months ago
A Model-Based Active Testing Approach to Sequential Diagnosis
Model-based diagnostic reasoning often leads to a large number of diagnostic hypotheses. The set of diagnoses can be reduced by taking into account extra observations (passive mon...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
98
Voted
ASPLOS
2008
ACM
15 years 7 days ago
Optimistic parallelism benefits from data partitioning
Recent studies of irregular applications such as finite-element mesh generators and data-clustering codes have shown that these applications have a generalized data parallelism ar...
Milind Kulkarni, Keshav Pingali, Ganesh Ramanaraya...
82
Voted
ICVS
2009
Springer
15 years 4 months ago
White-Box Evaluation of Computer Vision Algorithms through Explicit Decision-Making
Traditionally computer vision and pattern recognition algorithms are evaluated by measuring differences between final interpretations and ground truth. These black-box evaluations ...
Richard Zanibbi, Dorothea Blostein, James R. Cordy