Results 11 to 20 of about 97,372 (256)
Bootstrap Assessment of Crop Area Estimates Using Satellite Pixels Counting
Crop area estimates based on counting pixels over classified satellite images are a promising application of remote sensing to agriculture. However, such area estimates are biased, and their variance is a function of the error rates of the classification
Cristiano Ferraz +3 more
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The confusion matrix has long been adopted as the ‘de facto’ and ‘de jure’ standard method of reporting on the thematic accuracy assessment of any land surface geospatial dataset.
Francisco J. Ariza‐López +3 more
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Rice is one of the most important food staples in many countries, particularly Iran. Because irrigated rice production differs from other agricultural fields, this study developed a paddy field mapping model based on phenological aspects, various ...
Amir Hedayati +2 more
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IOT BASED ENVIRONMENT COMFORT LEVEL PREDICTION MODEL USING ENSEMBLE LEARNING
Predicting indoor environment comfort through machine learning algorithm is considered as an important research topic nowadays. People spend most of the time inside the building by doing some kitchen work, reading, watching TV, work in office building ...
R Vijayalakshmi, L Jayasimman
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A Confusion Matrix for Evaluating Feature Attribution Methods
The increasing use of deep learning models in critical areas of computer vision and the consequent need for insights into model behaviour have led to the development of numerous feature attribution methods. However, these attributions must be both meaningful and plausible to end-users, which is not always the case.
Anna Arias-Duart +3 more
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FACIAL EMOTION RECOGNITION USING CONVOLUTIONAL NEURAL NETWORK
Facial expressions play a significant role in social communication since they convey a lot of information about people, such as moods, emotions, and other things.
Milan Tripathi
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Decision Support System dalam Menentukan Mahasiswa Bermasalah Menggunakan Metode Topsis
At present many old semester students are starting to be undisciplined in attending lectures, this is due to the increasing burden of their assignments causing the enthusiasm of students to relax.
Adinda Dhea Pramitha +3 more
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Soft Confusion Matrix Classifier for Stream Classification [PDF]
In this paper, the issue of tailoring the soft confusion matrix (SCM) based classifier to deal with stream learning task is addressed. The main goal of the work is to develop a wrapping-classifier that allows incremental learning to classifiers that are unable to learn incrementally.
Pawel Trajdos, Marek Kurzynski
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PENGUKURAN KINERJA SISTEM KUALITAS UDARA DENGAN TEKNOLOGI WSN MENGGUNAKAN CONFUSION MATRIX
Abstrak— Kualitas udara sangatlah penting dalam lingkungan industri yang wajib untuk monitor. Terutama di daerah perkotaan, karena akan berpengaruh langsung terhadap kesehatan masyarakat maupun kenyamanan kota.
Banu Putri Pratiwi +2 more
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Hierarchical confusion matrix for classification performance evaluation
Abstract This study proposes the novel concept of hierarchical confusion matrix, opening the door for popular confusion-matrix-based (flat) evaluation measures from binary classification problems, while considering the peculiarities of hierarchical classification problems.
Kevin Riehl +2 more
openaire +3 more sources

