• Publications
  • Influence
Understanding and prediction of mobile application usage for smart phones
It is becoming harder to find an app on one's smart phone due to the increasing number of apps available and installed on smart phones today. We collect sensory data including app use from smartExpand
  • 224
  • 21
  • Open Access
Factors influencing quality of experience of commonly used mobile applications
Increasingly, we use mobile applications and services in our daily life activities, to support our needs for information, communication or leisure. However, user acceptance of a mobile applicationExpand
  • 206
  • 17
Fingerprint classification using one-vs-all support vector machines dynamically ordered with naive Bayes classifiers
Fingerprint classification reduces the number of possible matches in automated fingerprint identification systems by categorizing fingerprints into predefined classes. Support vector machines (SVMs)Expand
  • 105
  • 12
  • Open Access
Location-Based Recommendation System Using Bayesian User's Preference Model in Mobile Devices
As wireless communication advances, research on location-based services using mobile devices has attracted interest, which provides information and services related to user's physical location. AsExpand
  • 393
  • 9
  • Open Access
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information
Sentence matching is widely used in various natural language tasks such as natural language inference, paraphrase identification, and question answering. For these tasks, understanding logical andExpand
  • 76
  • 7
  • Open Access
A smartphone-based sensing platform to model aggressive driving behaviors
Driving aggressively increases the risk of accidents. Assessing a person's driving style is a useful way to guide aggressive drivers toward having safer driving behaviors. A number of studies haveExpand
  • 100
  • 6
  • Open Access
Getting closer: an empirical investigation of the proximity of user to their smart phones
Much research in ubiquitous computing assumes that a user's phone will be always on and at-hand, for collecting user context and for communicating with a user. Previous work with the previousExpand
  • 170
  • 4
  • Open Access
Efficient huge-scale feature selection with speciated genetic algorithm
  • J. Hong, S. Cho
  • Mathematics, Computer Science
  • Pattern Recognit. Lett.
  • 15 January 2006
With increasing interest in bioinformatics, sophisticated tools are required to efficiently analyze gene information. The classification of gene expression profiles is crucial in those fields. SinceExpand
  • 83
  • 3
  • Open Access
Understanding physiological responses to stressors during physical activity
With advances in physiological sensors, we are able to understand people's physiological status and recognize stress to provide beneficial services. Despite the great potential in physiologicalExpand
  • 49
  • 3
  • Open Access
Toward Personalized Activity Recognition Systems With a Semipopulation Approach
Activity recognition is a key component of context-aware computing to support people's physical activity, but conventional approaches often lack in their generalizability and scalability due toExpand
  • 41
  • 3