High-Reproducibility and High-Accuracy Method for Automated Topic Classification
نویسندگان
چکیده
Andrea Lancichinetti, M. Irmak Sirer, Jane X. Wang, Daniel Acuna, Konrad Körding, and Luís A. Nunes Amaral Howard Hughes Medical Institute (HHMI), Northwestern University, Evanston, Illinois 60208, USA Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois 60208, USA Department of Medical Social Sciences, Northwestern University, Feinberg School of Medicine, Chicago, Illinois 60611, USA Department of Physical Medicine and Rehabilitation, Rehabilitation Institute of Chicago, Northwestern University, Chicago, Illinois 60611, USA Department of Physics and Astronomy, Northwestern University, Evanston, Illinois 60208, USA Northwestern Institute on Complex Systems, Northwestern University, Evanston, Illinois 60208, USA (Received 21 May 2014; published 29 January 2015)
منابع مشابه
Automated classification of pulmonary nodules through a retrospective analysis of conventional CT and two-phase PET images in patients undergoing biopsy
Objective(s): Positron emission tomography/computed tomography (PET/CT) examination is commonly used for the evaluation of pulmonary nodules since it provides both anatomical and functional information. However, given the dependence of this evaluation on physician’s subjective judgment, the results could be variable. The purpose of this study was to develop an automated scheme for the classific...
متن کاملA New Document Embedding Method for News Classification
Abstract- Text classification is one of the main tasks of natural language processing (NLP). In this task, documents are classified into pre-defined categories. There is lots of news spreading on the web. A text classifier can categorize news automatically and this facilitates and accelerates access to the news. The first step in text classification is to represent documents in a suitable way t...
متن کاملA high-reproducibility and high-accuracy method for automated topic classification
Andrea Lancichinetti, M. Irmak Sirer, Jane X. Wang, Daniel Acuna, Konrad Körding, Lúıs A. Nunes Amaral Howard Hughes Medical Institute (HHMI), 2 Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois, USA, 3 Department of Medical Social Sciences Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA, 4 Department of Physical Medicine ...
متن کاملAutomatic road crack detection and classification using image processing techniques, machine learning and integrated models in urban areas: A novel image binarization technique
The quality of the road pavement has always been one of the major concerns for governments around the world. Cracks in the asphalt are one of the most common road tensions that generally threaten the safety of roads and highways. In recent years, automated inspection methods such as image and video processing have been considered due to the high cost and error of manual metho...
متن کاملA New Method to Improve Automated Classification of Heart Sound Signals: Filter Bank Learning in Convolutional Neural Networks
Introduction: Recent studies have acknowledged the potential of convolutional neural networks (CNNs) in distinguishing healthy and morbid samples by using heart sound analyses. Unfortunately the performance of CNNs is highly dependent on the filtering procedure which is applied to signal in their convolutional layer. The present study aimed to address this problem by a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015