Results 1 to 10 of about 18,586 (269)

Fully Complex Deep Learning Classifiers for Signal Modulation Recognition in Non-Cooperative Environment

IEEE Access, 2022
Deep learning (DL) classifiers have significantly outperformed traditional likelihood-based or feature-based classifiers for signal modulation recognition in non-cooperative environments.
Sangkyu Kim, Hae-Yong Yang, Daeyoung Kim
doaj   +1 more source

Comparative Analysis of Rumour Detection on Social Media Using Different Classifiers

Информатика и автоматизация, 2023
As the number of users on social media rise, information creation and circulation increase day after day on a massive basis. People can share their ideas and opinions on these platforms.
Manya Gidwani, Ashwini Rao
doaj   +1 more source

WB Score: A Novel Methodology for Visual Classifier Selection in Increasingly Noisy Datasets

Eng, 2023
This article addresses the challenges of selecting robust classifiers with increasing noise levels in real-world scenarios. We propose the WB Score methodology, which enables the identification of reliable classifiers for deployment in noisy environments.
Wagner S. Billa, Rogério G. Negri, Leonardo B. L. Santos   +2 more
doaj   +1 more source

Handling Occlusions with Franken-Classifiers [PDF]

2013 IEEE International Conference on Computer Vision, 2013
Detecting partially occluded pedestrians is challenging. A common practice to maximize detection quality is to train a set of occlusion-specific classifiers, each for a certain amount and type of occlusion. Since training classifiers is expensive, only a handful are typically trained.
Mathias, M., Benenson, R., Timofte, R., van Gool, L.   +3 more
openaire   +2 more sources

Analysis of Bayesian optimization algorithms for big data classification based on Map Reduce framework

Journal of Big Data, 2021
The process of big data handling refers to the efficient management of storage and processing of a very large volume of data. The data in a structured and unstructured format require a specific approach for overall handling.
Chitrakant Banchhor, N. Srinivasu
doaj   +1 more source

Machine Learning-Based Ensemble Classifiers for Anomaly Handling in Smart Home Energy Consumption Data

Sensors, 2022
Addressing data anomalies (e.g., garbage data, outliers, redundant data, and missing data) plays a vital role in performing accurate analytics (billing, forecasting, load profiling, etc.) on smart homes’ energy consumption data.
Purna Prakash Kasaraneni, Yellapragada Venkata Pavan Kumar, Ganesh Lakshmana Kumar Moganti, Ramani Kannan   +3 more
doaj   +1 more source

Explainability and Transparency of Classifiers for Air-Handling Unit Faults Using Explainable Artificial Intelligence (XAI)

Sensors, 2022
In recent years, explainable artificial intelligence (XAI) techniques have been developed to improve the explainability, trust and transparency of machine learning models. This work presents a method that explains the outputs of an air-handling unit (AHU)
Molika Meas, Ram Machlev, Ahmet Kose, Aleksei Tepljakov, Lauri Loo, Yoash Levron, Eduard Petlenkov, Juri Belikov   +7 more
doaj   +1 more source

Sequential Monte Carlo-guided ensemble tracking. [PDF]

PLoS ONE, 2017
A great deal of robustness is allowed when visual tracking is considered as a classification problem. This paper combines a finite number of weak classifiers in a SMC framework as a strong classifier.
Yuru Wang, Qiaoyuan Liu, Longkui Jiang, Minghao Yin, Shengsheng Wang   +4 more
doaj   +1 more source

Consensual based classification as emergent decisions in a complex system

Jordanian Journal of Computers and Information Technology, 2022
In massive multi-agents systems, that are used to model some complex systems, emergence is a key feature that allows to model high level states of such systems.
Rabah Mazouzi, Malanga Kennedy Ndenga, Cyril De Runz, Herman Akdag   +3 more
doaj   +1 more source

The Application of Deep Learning Imputation and Other Advanced Methods for Handling Missing Values in Network Intrusion Detection

Vietnam Journal of Computer Science, 2023
In intelligent information systems data play a critical role. The issue of missing data is one of the commonplace problems occurring in data collected in the real world. The problem stems directly from the very nature of data collection.
Mateusz Szczepański, Marek Pawlicki, Rafał Kozik, Michał Choraś   +3 more
doaj   +1 more source