16 Result(s)
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Seong-Bae Park
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Question difficulty estimation via enhanced directional modality association transformer
Estimating the difficulty of a question in video QAs is one of the important reasoning steps to answer the question. However, no previous question difficulty estimators consider the association between multipl...
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A response generator with response-aware encoder for generating specific and relevant responses
The dialogue data usually consist of the pairs of a query and its response, but no previous response generators have exploited the responses explicitly in their training while a response provides significant i...
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Mining fine-grained sequential travel patterns from social geo-tagged photos
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Identifying intention posts in discussion forums using multi-instance learning and multiple sources transfer learning
This paper proposes a novel method for identifying intention posts in discussion forums. The main problem of identifying intention posts in discussion forums is that there exist a few intention sentences even ...
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Enhancement of refractive outcomes of small-incision lenticule extraction via tear-film control
To suggest that tear film is a refractive outcome predictor in small-incision lenticule extraction (SMILE) for myopia and describe methods of controlling the tear film and its effects on refractive outcomes.
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Open AccessAutomated extraction of Biomarker information from pathology reports
Pathology reports are written in free-text form, which precludes efficient data gathering. We aimed to overcome this limitation and design an automated system for extracting biomarker profiles from accumulated...
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Point of interest mining with proper semantic annotation
Mining geo-tagged social photo media has received large amounts of attention from researchers recently. Points of interest (POI) mining from a collection of geo-tagged photos is one of these problems. POI mini...
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A single-directional influence topic model using call and proximity logs simultaneously
Understanding social interactions is one of the key factors in the development of context-aware ubiquitous applications. Identifying interaction patterns sensed by a mobile device is one possible way for under...
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A just-in-time keyword extraction from meeting transcripts using temporal and participant information
In a meeting, it is often desirable to extract the keywords from each utterance as soon as it is spoken. Therefore, this paper proposes a just-in-time keyword extraction from meeting transcripts. The proposed ...
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Using MCRDR based Agile approach for expert system development
Various expert system development approaches were proposed but most of them cannot deal with two problems: the difficulty of analysis and maintenance. Rather than to spend time waiting any longer, it is better...
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Hydrophilic acrylic intraocular lens optic opacification in a diabetic patient
To report clinicopathologic and ultrastructural feature of one opacified hydrophilic acrylic intraocular lens (IOL) explanted from a diabetic patient.
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Assessment of narrow angles by gonioscopy, Van Herick method and anterior segment optical coherence tomography
To evaluate anterior chamber (AC) angles using gonioscopy, Van Herick technique and anterior segment optical coherence tomography (AS-OCT).
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Open AccessHit integration for identifying optimal spaced seeds
Introduction of spaced speeds opened a way of sensitivity improvement in homology search without loss of search speed. Since then, the efforts of finding optimal seed which maximizes the sensitivity have been ...
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Open AccessAn empirical study of choosing efficient discriminative seeds for oligonucleotide design
Oligonucleotide design is known as a time-consuming work in bioinformatics. In order to accelerate and be efficient the oligonucleotide design process, one of widely used approach is the prescreening unreliabl...
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Glaucoma diagnostic performance of humphrey matrix and standard automated perimetry
To evaluate and compare the performance of Humphrey Matrix perimetry (Matrix) and standard automated perimetry (SAP) for glaucoma discrimination.
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Word Sense Disambiguation by Learning Decision Trees from Unlabeled Data
In this paper we describe a machine learning approach to word sense disambiguation that uses unlabeled data. Our method is based on selective sampling with committees of decision trees. The committee members a...
