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Found 9 papers, 1 papers with code
CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification
We evaluated the performance of CUSBoost algorithm with the state-of-the-art methods based on ensemble learning like AdaBoost, RUSBoost, SMOTEBoost on 13 imbalance binary and multi-class datasets with various imbalance ratios.
MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification
The performance of MEBoost has been evaluated on 12 benchmark imbalanced datasets with state of the art ensemble methods like SMOTEBoost, RUSBoost, Easy Ensemble, EUSBoost, DataBoost.
LIUBoost : Locality Informed Underboosting for Imbalanced Data Classification
The problem of class imbalance along with class-overlapping has become a major issue in the domain of supervised learning.
FRnet-DTI: Deep Convolutional Neural Networks with Evolutionary and Structural Features for Drug-Target Interaction
In this paper, we present FRnet-DTI, an auto encoder and a convolutional classifier for feature manipulation and drug target interaction prediction.
iPromoter-BnCNN: a Novel Branched CNN Based Predictor for Identifying and Classifying Sigma Promoters
We present iPromoter-BnCNN for identification and accurate classification of six types of promoters - sigma24, sigma28, sigma32, sigma38, sigma54, sigma70.
Modeling of Viral Aerosol Transmission and Detection
In this paper, we propose studying the disease spread mechanism in the atmosphere as an engineering problem.
Generalized Fully Coherent Closed-form Receiver Design for Joint Radar and Communication System
In dual-function radar communication (DFRC), different waveforms are transmitted after each PRI.
Machine Learning-Based Automatic Cardiovascular Disease Diagnosis Using Two ECG Leads
Simulation results show that the performance of our proposed methodology is better than the state-of-the-art techniques for the same database.
Exploring the Synergy: A Review of Dual-Functional Radar Communication Systems
This review paper examines the concept and advancements in the evolving landscape of Dual-functional Radar Communication (DFRC) systems.
