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» Parameterized Learning Complexity
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138
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ICTA
2009
IEEE
15 years 10 months ago
Feasibility Analysis for SemiAutomatic Conversion of Text to Improve Readability
1 WCAG 2.0 (W3C Recommendation 11 Dec. 2008) recommendation includes a specific guideline regarding the readability of text contents. This paper presents an approach to adapt text ...
Susana Bautista, Pablo Gervás, R. Ignacio M...
135
Voted
ICPR
2008
IEEE
15 years 10 months ago
Grading nuclear pleomorphism on histological micrographs
A mainstay in cancer diagnostics is the classification or grading of cell nuclei based on their appearance. While the analysis of cytological samples has been automated successful...
Eric Cosatto, Matthew Miller, Hans Peter Graf, Joh...
110
Voted
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 9 months ago
Acquiring evolvability through adaptive representations
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...
Joseph Reisinger, Risto Miikkulainen
115
Voted
LTCONF
2007
Springer
15 years 9 months ago
Automatically Determining Attitude Type and Force for Sentiment Analysis
Recent work in sentiment analysis has begun to apply fine-grained semantic distinctions between expressions of attitude as features for textual analysis. Such methods, however, r...
Shlomo Argamon, Kenneth Bloom, Andrea Esuli, Fabri...
133
Voted
IROS
2006
IEEE
146views Robotics» more  IROS 2006»
15 years 9 months ago
Adaptive Causal Models for Fault Diagnosis and Recovery in Multi-Robot Teams
— This paper presents an adaptive causal model method (adaptive CMM) for fault diagnosis and recovery in complex multi-robot teams. We claim that a causal model approach is effec...
Lynne E. Parker, Balajee Kannan