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Securing the CAN bus using deep learning for intrusion detection in vehicles. [PDF]

Sci Rep
Rai R, Grover J, Sharma P, Pareek A.
europepmc   +1 more source

Evaluating performance metrics in emotion lexicon distillation : a focus on F1 scores

Hinojosa Lee, Maria Cristina, Braet, Johan, Springael, Johan   +2 more
openaire   +1 more source

F1 Score Assesment of Gaussian Mixture Background Subtraction Algorithms Using the MuHAVi Dataset

6th International Conference on Imaging for Crime Prevention and Detection (ICDP-15), 2015
Background subtraction algorithms are mainly used to segment some specific moving objects in an image sequences. Within of the action recognition context, these methods may be proper to generate automatically silhouettes of the human actions. In this way, MuHAVi is a human action dataset which provides a small set of manually annotated silhouettes and ...
Jorge Sepúlveda, Sergio A. Velastín
semanticscholar   +4 more sources

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Maximum F1-Score Discriminative Training Criterion for Automatic Mispronunciation Detection

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2015
We carry out an in-depth investigation on a newly proposed Maximum F1-score Criterion (MFC) discriminative training objective function for Goodness of Pronunciation (GOP) based automatic mispronunciation detection that makes use of Gaussian Mixture Model-hidden Markov model (GMM-HMM) as acoustic models. The formulation of MFC seeks to directly optimize
Xianhui Wang, Hao Huang, Haihua Xu, Wushour Silamu   +3 more
openaire   +3 more sources

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
With spinal surgery rates increasing in North America, models that are able to accurately predict which patients are at greater risk of developing complications are highly warranted. However, the previously published methods which have used large, multi-centre databases to develop their prediction models have relied on the receiver operator ...
Alexandra Stratton, Eric Locke, Kim Phan, Mohamad Hoda, Zachary DeVries, Stephen P. Kingwell, Eugene K. Wai, Dita Moravek, Philippe Phan, Philippe Phan, Philippe Phan   +10 more
openaire   +4 more sources

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. Venkata Sairam, Logu. K
openaire   +2 more sources

Evaluating compressive sensing algorithms in through-the-wall radar via F1-score

International Journal of Signal and Imaging Systems Engineering, 2018
To achieve high resolution through-the-wall radar imaging (TWRI), long wideband antenna arrays need to be considered, thus resulting in massive amounts of data. Compressive sensing (CS) techniques resolve this issue by allowing image reconstruction using much fewer measurements.
Ali A. AlBeladi, Ali H. Muqaibel
openaire   +3 more sources

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   +3 more sources

Comparative Analysis of Recurrent Neural Network over Convolutional Neural Network in Predicting R2l Attack in IoT Devices with Improved Accuracy and F1 Score

2023 6th International Conference on Contemporary Computing and Informatics (IC3I), 2023
I. Jaya Bharath Reddy, S. Mahaboob Basha
openalex   +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