1,721,167 research outputs found
Una "singolare" spettralità tecnologica. L'avatar tra cnema, letteratura e serie Tv. In: (a cura di): Ezio Puglia, Massimo Fusillo, Stefano Mazzarin, Angelo M. Mangini, Ritorni Spettrali. Storie e teorie della spettralità senza fantasmi.
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Emergency endovascular treatment of sac rupture for type IIIa endoleak in thoracic aortic aneurysm previously excluded with endovascualr repair
No full textMicrowave ablation for treatment of recurrent bleeding adrenal adenoma in a dog: a treatment potentially translational in human
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Il maldestro demiurgo. Note sul doppio nel fantastico papiniano
No full textInterpretazione del fantastico papiniano ala luce della teoria freudiana del perturbante e, in particolare, del rapporto con la mentalità magica, che nel fantastico moderno riemerge mostrando il proprio volto disforico e minaccios
MDCT imaging of the pulmonary veins in the pre-RFCA planning: accuracy and radiation exposure with ECG-gated and not-gated acquisition
No full textA novel prototype generation technique for handwriting digit recognition
No full textThe aim of this paper is to introduce a novel prototype generation technique for handwriting digit recognition. Prototype generation is approached as a two-stage process. The first stage uses an Adaptive Resonance Theory 1 (ART1) based algorithm to select an effective initial solution, while the second one executes a fine tuning designed to generate the best prototypes.
To this end, the second stage deals with an optimization problem, in which the objective function to be minimized is the cost function associated to the classification. A naive evolution strategy is used to generate the prototype set able to reduce classification time, without greatly affecting the accuracy. Moreover, as the ART1 based algorithm has incremental learning capability, the first stage is also useful for selecting the prototype set according to variations in handwriting style. The classification task is performed by the k-nearest neighbor classifier.
Experimental tests on the MNIST dataset demonstrated that our technique represents a good trade-off among accuracy, classification speed and robustness to handwriting style changes
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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