Results 31 to 40 of about 15,619 (146)

Visual and computational analysis of structure-activity relationships in high-throughput screening data [PDF]

, 2001
Novel analytic methods are required to assimilate the large volumes of structural and bioassay data generated by combinatorial chemistry and high-throughput screening programmes in the pharmaceutical and agrochemical industries. This paper reviews recent
Agrafiotis, Agrafiotis, Ahlberg, Ajay, Ajay, Bayada, Bemis, Bernard, Bonabeau, Brown, Calvert, Card, Chen, Chen, Cho, Christianini, Clark, Clark, Cox, Duda, Edwards, Engels, Frimurer, Gao, Garrido, Ghose, Gillet, Gillet, Hand, Hann, Haupts, Hayward, Hertzberg, Izrailev, Jiang, Jones-Hertzog, Kirew, Kobayashi, Kohonen, Ladd, Lee, Lepre, Martin, Mason, Mello, Meyer, Miller, Mitchell, Oprea, Peter Gedeck, Peter Willett, Poroikov, Rhodes, Roberts, Roberts, Ros, Rusinko, Sadowski, Sadowski, Scherf, Sheridan, Shi, Stanton, Su, Teague, Thompson, Tropsha, Tufte, Tufte, Wagener, Walters, Wang, Wedin, Xie, Xu, Zupan   +75 more
core   +1 more source

Mass Classification Method in Mammogram Using Fuzzy K-Nearest Neighbour Equality

, 2014
Mass classification of objects is an important area of research and application in a variety of fields. In this paper, we present an efficient computer aided mass classification method in digitized mammograms using Fuzzy K-Nearest Neighbor Equality, which performs benign or malignant classification on region of interest that contains mass.
Aroquiaraj, I. Laurence, Thangavel, K.
openaire   +2 more sources

Real-time eye tracking for the assessment of driver fatigue

Healthcare Technology Letters, 2018
Eye-tracking is an important approach to collect evidence regarding some participants’ driving fatigue. In this contribution, the authors present a non-intrusive system for evaluating driver fatigue by tracking eye movement behaviours.
Junli Xu, Jianliang Min, Jianfeng Hu
doaj   +1 more source

The Application Of Fuzzy K-Nearest Neighbour Methods for A Student Graduation Rate

Indonesian Journal of Artificial Intelligence and Data Mining, 2018
The absence of prediction system that can provide prediction analysis on the graduation rate of students becomes the reason for the research on the prediction of the level of graduation rate of students. Determining predictions of graduation rates of students in large numbers is not possible to do manually because it takes a long time. For that we need
Imam Ahmad, Heni Sulistiani, Hendrik Saputra   +2 more
openaire   +2 more sources

One-Class Classification: Taxonomy of Study and Review of Techniques

, 2013
One-class classification (OCC) algorithms aim to build classification models when the negative class is either absent, poorly sampled or not well defined.
Khan, Shehroz S., Madden, Michael G.
core   +1 more source

Discrete approximations to vector spin models [PDF]

, 2011
We strengthen a result of two of us on the existence of effective interactions for discretised continuous-spin models. We also point out that such an interaction cannot exist at very low temperatures.
Aernout C D van Enter, Alex A Opoku, Christof Külske, Fernández R, Fröhlich J, Häggström O, Kozlov O K, Külske C, Opoku A A, Ruszel W M, Verbitskiy E A   +10 more
core   +1 more source

PENGEMBANGAN SISTEM PAKAR DIAGNOSA PENYAKIT SAPI POTONG DENGAN METODE FUZZY K-NEAREST NEIGHBOUR

Journal of Enviromental Engineering and Sustainable Technology, 2015
Early detection and treatment of cow disease is an important thing for increasing productivity of beef. The dependence of the existence of an expert or veterinarian is too high. It is caused by a lack of knowledge of the breeder about cow disease. This is a condition in which an expert is needed.
Restia Dwi Oktavianing Tyas, Arief Andy Soebroto   +1 more
openaire   +2 more sources

A Review of Financial Accounting Fraud Detection based on Data Mining Techniques

, 2012
With an upsurge in financial accounting fraud in the current economic scenario experienced, financial accounting fraud detection (FAFD) has become an emerging topic of great importance for academic, research and industries.
Panigrahi, Prabin Kumar, Sharma, Anuj
core   +1 more source

Cancer subtype identification pipeline: a classifusion approach [PDF]

, 2016
Classification of cancer patients into treatment groups is essential for appropriate diagnosis to increase survival. Previously, a series of papers, largely published in the breast cancer domain have leveraged Computational Intelligence (CI) developments
Agrawal, U., Agrawal, U., Soria, D., Soria, D., Wagner, C., Wagner, C.   +5 more
core   +2 more sources

Increasing the spatial resolution of agricultural land cover maps using a Hopfield neural network

, 2003
Land cover class composition of remotely sensed image pixels can be estimated using soft classification techniques increasingly available in many GIS packages.
Atkinson, P.M., Lewis, H.G., Nixon, M.S., Tatem, A.J.   +3 more
core   +1 more source