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1 - 10 of 11
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Blending human and artificial intelligence to support autistic children’s social communication skills
Porayska-Pomsta K., Alcorn A., Avramides K., Beale S., Bernardini S., Foster M., Frauenberger C., Good J., Guldberg K., Keay-Bright W., Kossyvaki L., Lemon O., Mademtzi M., Menzies R., Pain H., Rajendran G., Waller A., Wass S., Smith T. ACM Transactions on Computer-Human Interaction 25(6): 1-35, 2018. Type: Article
Children with autism spectrum conditions (ASC) experience various levels of difficulty in social communication and interaction, in addition to showing restricted, repetitive patterns of behavior....
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Mar 12 2020 |
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Ultra-strong machine learning: comprehensibility of programs learned with ILP
Muggleton S., Schmid U., Zeller C., Tamaddoni-Nezhad A., Besold T. Machine Learning 107(7): 1119-1140, 2018. Type: Article
Recognizing the fact that “most of modern machine learning can be viewed as consistent with Michie’s weak criterion,” the authors of this paper are motivated to work on Michie’s ultra-strong crit...
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Dec 31 2018 |
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A hierarchical classifier based on human blood plasma fluorescence for non-invasive colorectal cancer screening
Soares F., Becker K., Anzanello M. Artificial Intelligence in Medicine 82 1-10, 2017. Type: Article
Classification in artificial intelligence aims to separate data into categories using available variables. High dimensionality and inherent variability in medical datasets have been challenges to classification tasks in this field....
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Feb 21 2018 |
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An evaluation of linear and non-linear models of expressive dynamics in classical piano and symphonic music
Cancino-Chacón C., Gadermaier T., Widmer G., Grachten M. Machine Learning 106(6): 887-909, 2017. Type: Article
Along with an appreciation for the art of Western classical music, researchers are also passionate about the study of its expressive interpretation forms. They are interested in modeling the relationship between musical expression and ...
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Nov 6 2017 |
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Application of intelligent agents in health-care: review
Iqbal S., Altaf W., Aslam M., Mahmood W., Khan M. Artificial Intelligence Review 46(1): 83-112, 2016. Type: Article
Along with the successful use of intelligent agents in the healthcare domain, researchers have been motivated to study the application of software engineering knowledge in this field....
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Nov 3 2016 |
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Health smart home services incorporating a MAR-based energy consumption awareness system
Kim M., Lee J., Wang X., Kim J. Journal of Intelligent and Robotic Systems 79(3-4): 523-535, 2015. Type: Article
Along with the emergence of health smart home services for elderly people, it becomes crucial to study their energy consumption in order to minimize it. This paper presents a framework, as “a structured way of understanding h...
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Feb 3 2016 |
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Measuring crowd collectiveness
Zhou B., Tang X., Zhang H., Wang X. IEEE Transactions on Pattern Analysis and Machine Intelligence 36(8): 1586-1599, 2014. Type: Article
Determination of the degree of individuals acting as a union in collective motions is an interesting research topic, while defining and quantifying such a structure and its motion is a challenging task. This paper proposes a method for...
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Dec 14 2015 |
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uSmell: exploring the potential for gas sensors to classify odors in ubicomp applications relative to airflow and distance
Hirano S., Hayes G., Truong K. Personal and Ubiquitous Computing 19(1): 189-202, 2015. Type: Article
Hirano et al. investigate the performance of an odor classification system using gas sensors under less controlled environments, both at a distance and relative to airflow. A machine algorithm decision tree is used for the classificati...
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Apr 17 2015 |
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Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering
Ortiz A., Gorriz J., Ramirez J., Salas-Gonzalez D. Information Sciences 262117-136, 2014. Type: Article
The accurate separation of white matter, gray matter, and cerebrospinal fluid (CSF) in brain image segmentation is critical to the clinical decision process. Image segmentation methods that can accurately represent such anatomical stru...
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May 15 2014 |
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Latent structured perceptrons for large-scale learning with hidden information
Sun X., Matsuzaki T., Li W. IEEE Transactions on Knowledge and Data Engineering 25(9): 2063-2075, 2013. Type: Article
Successfully learning about hidden information, such as structures, in large-scale data during the data mining process is an interesting and challenging task. Algorithms that adopt latent variables, such as latent conditional random fi...
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Dec 9 2013 |
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