48 citations · 56 across the 10 of their papers we have counts for
10 papers
System Network Analytics: Evolution and Stable Rules of a State Series
Animesh Chaturvedi, Aruna Tiwari, Nicolas Spyratos
System Evolution Analytics on a system that evolves is a challenge because it makes a State Series SS = {S1, S2... SN} (i.e., a set of states ordered by time) with several inter-co…
Enhanced Opposition Differential Evolution Algorithm for Multimodal Optimization
Shatendra Singh, Aruna Tiwari
Most of the real-world problems are multimodal in nature that consists of multiple optimum values. Multimodal optimization is defined as the process of finding multiple global and…
A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis
Preeti Jha, Aruna Tiwari, Neha Bharill +5
Genome sequencing projects are rapidly increasing the number of high-dimensional protein sequence datasets. Clustering a high-dimensional protein sequence dataset using traditional…
Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification
Pratik K. Mishra, Chandan Gautam, Aruna Tiwari
One-class classification (OCC) needs samples from only a single class to train the classifier. Recently, an auto-associative kernel extreme learning machine was developed for the O…
OCKELM+: Kernel Extreme Learning Machine based One-class Classification using Privileged Information (or KOC+: Kernel Ridge Regression or Least Square SVM with zero bias based One-class Classification using Privileged Information)
Chandan Gautam, Aruna Tiwari, M. Tanveer
Kernel method-based one-class classifier is mainly used for outlier or novelty detection. In this letter, kernel ridge regression (KRR) based one-class classifier (KOC) has been ex…
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification)
Chandan Gautam, Aruna Tiwari, M. Tanveer
A brain can detect outlier just by using only normal samples. Similarly, one-class classification (OCC) also uses only normal samples to train the model and trained model can be us…
Multi-layer Kernel Ridge Regression for One-class Classification
Chandan Gautam, Aruna Tiwari, Sundaram Suresh +1
In this paper, a multi-layer architecture (in a hierarchical fashion) by stacking various Kernel Ridge Regression (KRR) based Auto-Encoder for one-class classification is proposed…
Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification
Chandan Gautam, Ramesh Balaji, K Sudharsan +2
Multi-kernel learning has been well explored in the recent past and has exhibited promising outcomes for multi-class classification and regression tasks. In this paper, we present…
On The Construction of Extreme Learning Machine for Online and Offline One-Class Classification - An Expanded Toolbox
Chandan Gautam, Aruna Tiwari, Qian Leng
One-Class Classification (OCC) has been prime concern for researchers and effectively employed in various disciplines. But, traditional methods based one-class classifiers are very…
Online Learning with Regularized Kernel for One-class Classification
Chandan Gautam, Aruna Tiwari, Sundaram Suresh +1
This paper presents an online learning with regularized kernel based one-class extreme learning machine (ELM) classifier and is referred as online RK-OC-ELM. The baseline kernel hy…