Results 311 to 320 of about 3,494,638 (328)

Automatic Stock Market Prediction using Novel Long Short Term Memory Algorithm compared with Logistic Regression for improved F1 score

2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM), 2022
This work provides a comparative study of improved F1 score in stock market values using a novel long short term memory algorithm (LSTM) which is compared to Logistic Regression algorithm.
P. Sairam, Logu. K
semanticscholar   +1 more source

A Shape Comparison Reinforcement Method Based on Feature Extractors and F1-Score

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019
Evaluating object segmentation is a topic of great interest for shape comparison techniques. In this work, ad-hoc metrics for a detailed segmentation analysis and a novel keypoint based method for comparing pairs of shapes are presented. As references, two different segmentation approaches were used: a handmade segmentation and an automatic one based ...
Avola, D, Cinque, L, Foresti, GL, Lamacchia, F, Marini, MR, Perini, L, Qorraj, K, Telesca, G   +7 more
openaire   +2 more sources

A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology

DLMIA/ML-CDS@MICCAI, 2016
We present a unified framework to predict tumor proliferation scores from breast histopathology whole slide images. Our system offers a fully automated solution to predicting both a molecular data-based, and a mitosis counting-based tumor proliferation ...
K. Paeng, Sangheum Hwang, Sunggyun Park, Minsoo Kim   +3 more
semanticscholar   +1 more source

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

North American Chapter of the Association for Computational Linguistics, 2019
We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers. Unlike recent language representation models (Peters et al., 2018a; Radford et al., 2018), BERT is designed to pre ...
Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova   +3 more
semanticscholar   +1 more source

Using a national surgical database to predict complications following posterior lumbar surgery and comparing the area under the curve and F1-score for the assessment of prognostic capability.

The spine journal, 2021
Zachary DeVries, E. Locke, M. Hoda, Dita Moravek, Kim Phan, A. Stratton, S. Kingwell, E. Wai, P. Phan   +8 more
semanticscholar   +1 more source

Beyond Balanced Accuracy: Calibrated F1-Score for Reliable AI Evaluation in Imbalanced Domains

Evaluating the performance of Artificial Intelligence (AI) models in imbalanced domains poses significant challenges. Traditional metrics like accuracy can be misleading, favoring the majority class and masking poor performance on the minority class, which is often of greater interest.
Revista, Zen, IA, 10
openaire   +1 more source

Rapid detection of adulterated lamb meat using near infrared and electronic nose: A F1-score-MRE data fusion approach

Food Chemistry
Individual detection techniques cannot guarantee accurate and reliable results when combatting the presence of adulterated lamb meat in the market. Here, we propose an approach combining the electronic nose and near-infrared spectroscopy fusion data with machine learning methods to effectively detect adulterated lamb meat (mixed with duck meat).
Wenshen Jia, Yingdong Qin, Changtong Zhao   +2 more
openaire   +2 more sources

On kNN Class Weights for Optimising G-Mean and F1-Score

2023
Grzegorz Góra, Andrzej Skowron
openaire   +1 more source

A Comprehensive Investigation of Machine Learning Algorithms with SMOTE Integration to Maximize F1 Score

2023
Surbhi Sharma, Alka Singhal
openaire   +1 more source

Maximum F1-score discriminative training for automatic mispronunciation detection in computer-assisted language learning

Interspeech 2012, 2012
Hao Huang, Jianming Wang, Halidan Abudureyimu   +2 more
openaire   +1 more source