• Publications
  • Influence
Sentence similarity based on semantic nets and corpus statistics
tl;dr
This paper focuses directly on computing the similarity between very short texts of sentence length. Expand
  • 761
  • 93
  • Open Access
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
tl;dr
This paper explores the determination of semantic similarity by a number of information sources, which consist of structural semantic information from a lexical taxonomy and information content from a corpus. Expand
  • 1,081
  • 86
AtPID: Arabidopsis thaliana protein interactome database—an integrative platform for plant systems biology
tl;dr
Arabidopsis thaliana Protein Interactome Database (AtPID) is an object database that integrates data from several bioinformatics prediction methods and manually collected information from the literature. Expand
  • 129
  • 20
  • Open Access
Selecting Critical Patterns Based on Local Geometrical and Statistical Information
  • Yuhua Li, L. Maguire
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine…
  • 1 June 2011
tl;dr
This paper presents a method that selects critical patterns deemed to carry essential information applicable to train those types of classifiers which require spatial information of the training data set. Expand
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An experimental evaluation of novelty detection methods
tl;dr
Novelty detection is especially important for monitoring safety-critical systems in which novel conditions rarely occur and knowledge about novelty in that system is often limited or unavailable. Expand
  • 86
  • 6
DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons
tl;dr
A learning method for spiking neurons, called delay learning remote supervised method (DL-ReSuMe), is proposed to merge the delay shift approach and ReSuMe-based weight adjustment to enhance the learning performance. Expand
  • 43
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Online traffic-aware fault detection for networks-on-chip
tl;dr
This paper addresses the challenge of fault diagnosis using online testing where the interruption of the runtime operation under diagnosis is minimised. Expand
  • 40
  • 5
Feature selection for high-dimensional machinery fault diagnosis data using multiple models and Radial Basis Function networks
tl;dr
This paper proposes a hybrid model which combines multiple feature selection models to select the most significant input features from all potentially relevant features. Expand
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  • 4
Competitive and cooperative particle swarm optimization with information sharing mechanism for global optimization problems
tl;dr
This paper proposes an information sharing mechanism (ISM) to improve the performance of particle swarm optimization (PSO). Expand
  • 109
  • 3
Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection
tl;dr
This paper proposes a novel approach, called adaptive hidden Markov model with anomaly states (AHMMAS) for modeling and detecting price manipulation activities. Expand
  • 55
  • 3
  • Open Access