A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification
Typically performed by supervised machine learning algorithms, sentiment analysis is highly
useful for extracting subjective information from text documents online. Most approaches that …
useful for extracting subjective information from text documents online. Most approaches that …
A novel chaos-based privacy-preserving deep learning model for cancer diagnosis
Early cancer identification is regarded as a challenging problem in cancer prevention for the
healthcare community. In addition, ensuring privacy-preserving healthcare data becomes …
healthcare community. In addition, ensuring privacy-preserving healthcare data becomes …
[PDF][PDF] Design of improved version of sigmoidal function with biases for classification task in ELM domain
SR Mugunthan, T Vijayakumar - Journal of Soft Computing …, 2021 - scholar.archive.org
Extreme Learning Machine (ELM) is one of the latest trends in learning algorithm, which can
provide a good recognition rate within less computation time. Therefore, the algorithm can …
provide a good recognition rate within less computation time. Therefore, the algorithm can …
Analysis of Extreme Learning Machines (ELMs) for intelligent intrusion detection systems: A survey
The ever-increasing interconnectedness of our world, fueled by technological
advancements across industries, has made network security a paramount concern. This …
advancements across industries, has made network security a paramount concern. This …
Multi-model CNN fusion for sperm morphology analysis
Infertility is a common disorder affecting 20% of couples worldwide. Furthermore, 40% of all
cases are related to male infertility. The first step in the determination of male infertility is …
cases are related to male infertility. The first step in the determination of male infertility is …
Does preference always help? A holistic study on preference-based evolutionary multiobjective optimization using reference points
The ultimate goal of multiobjective optimization is to help a decision maker (DM) identify
solution (s) of interest (SOI) achieving satisfactory tradeoffs among multiple conflicting …
solution (s) of interest (SOI) achieving satisfactory tradeoffs among multiple conflicting …
Deep learning‐based multimodal fusion network for segmentation and classification of breast cancers using B‐mode and elastography ultrasound images
Ultrasonography is one of the key medical imaging modalities for evaluating breast lesions.
For differentiating benign from malignant lesions, computer‐aided diagnosis (CAD) systems …
For differentiating benign from malignant lesions, computer‐aided diagnosis (CAD) systems …
Dementia classification using MR imaging and clinical data with voting based machine learning models
Dementia is one of the leading causes of severe cognitive decline, it induces memory loss
and impairs the daily life of millions of people worldwide. In this work, we consider the …
and impairs the daily life of millions of people worldwide. In this work, we consider the …
Amir: Active multimodal interaction recognition from video and network traffic in connected environments
Activity recognition using video data is widely adopted for elder care, monitoring for safety
and security, and home automation. Unfortunately, using video data as the basis for activity …
and security, and home automation. Unfortunately, using video data as the basis for activity …
BiLO-CPDP: Bi-level programming for automated model discovery in cross-project defect prediction
Cross-Project Defect Prediction (CPDP), which borrows data from similar projects by
combining a transfer learner with a classifier, have emerged as a promising way to predict …
combining a transfer learner with a classifier, have emerged as a promising way to predict …