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» The Case for Enhanced Abstract Data Types
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LION
2009
Springer
112views Optimization» more  LION 2009»
14 years 1 months ago
A Graph-Based Semi-supervised Algorithm for Protein Function Prediction from Interaction Maps
Abstract. Protein function prediction represents a fundamental challenge in bioinformatics. The increasing availability of proteomics network data has enabled the development of se...
Valerio Freschi
AIMSA
2006
Springer
13 years 11 months ago
A Knowledge-Based Approach for Automatic Generation of Summaries of Behavior
Effective automatic summarization usually requires simulating asoning such as abstraction or relevance reasoning. In this paper we describe a solution for this type of reasoning in...
Martín Molina, Victor Flores
SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
13 years 8 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
ISBI
2007
IEEE
14 years 1 months ago
Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images
In this paper, multi-modal Magnetic Resonance (MR) images are integrated into a tissue profile that aims at differentiating tumor components, edema and normal tissue. This is achi...
Hongmin Cai, Ragini Verma, Yangming Ou, Seung-koo ...
BIRTHDAY
2008
Springer
13 years 9 months ago
Models of Computation: A Tribute to Ugo Montanari's Vision
e [43] is the first paper on final, observational semantics in abstract data types, and the main reference for one of the MoC contributed papers in this volume. It presented severa...
Roberto Bruni, Vladimiro Sassone