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Fully automated localization of somata in 3D brain images. Count-of-count features in relational learning. A language for relational learning with kernels. A protein disulfide bridge predictor Access the server. A predictor of protein metal binding sites Access the server. Convert raster images of chemical formulae into MOL or SDF files. Declarative languages and representations for learning. Learning with relational, logical, and structured representations. Prediction of protein structure and function.
Fully automated localization of somata in 3D brain images. Count-of-count features in relational learning. A language for relational learning with kernels. A protein disulfide bridge predictor Access the server. A predictor of protein metal binding sites Access the server. Convert raster images of chemical formulae into MOL or SDF files. Positions available for the new PhD Program in Smart Computing. Declarative languages and representations for learning.
WHAT DOES MLOCSR.DINFO.UNIFI.IT LOOK LIKE?
MLOCSR.DINFO.UNIFI.IT HOST
SERVER OPERATING SYSTEM AND ENCODING
I diagnosed that this website is employing the Apache/2.4.7 (Ubuntu) server.TITLE
MLOCSR Optical recognition of chemical structuresDESCRIPTION
MLOCSR Optical recognition of chemical structuresCONTENT
This web page mlocsr.dinfo.unifi.it has the following on the site, "Convert bitmap images of chemical structural formulas into MDL MOL files." Our analyzers viewed that the website also said " MLOCSR performs optical recognition of chemical formulae in two stages." The Website also said " First, candidate points, lines, and formula text boxes are extracted by a low-level processor. Is used to reason about the low-level entities and relations to construct a molecular structure which is finally output in the form of a MOL file. Sample images from the USPTO data set used for the development of OSRA. Can be downloaded from here." The website's header had OCR as the most important search term. It is followed by Chemical OCR and Markov Logic which isn't as highly ranked as OCR.SUBSEQUENT WEBSITES
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