Search Results for author: Vadlamani Ravi

Found 27 papers, 0 papers with code

Causal Inference for Banking Finance and Insurance A Survey

no code implementations31 Jul 2023 Satyam Kumar, Yelleti Vivek, Vadlamani Ravi, Indranil Bose

This paper presents a comprehensive survey of 37 papers published during 1992-2023 and concerning the application of causal inference to banking, finance, and insurance.

Causal Inference

Chaotic Variational Auto encoder-based Adversarial Machine Learning

no code implementations25 Feb 2023 Pavan Venkata Sainadh Reddy, Yelleti Vivek, Gopi Pranay, Vadlamani Ravi

In this paper, we performed VAE-based adversary sample generation and applied it to various problems related to finance and cybersecurity domain-related problems such as loan default, credit card fraud, and churn modelling, etc., We performed both Evasion and Data-Poison attacks on Logistic Regression (LR) and Decision Tree (DT) models.

speech-recognition Speech Recognition +1

Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection

no code implementations19 Nov 2022 Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane, Laveti Ramesh Naidu

Owing to the rarity of fraudulent activities, Fraud detection can be formulated as either a binary classification problem or One class classification (OCC).

Binary Classification Causal Inference +4

Parallel and Streaming Wavelet Neural Networks for Classification and Regression under Apache Spark

no code implementations7 Sep 2022 Eduru Harindra Venkatesh, Yelleti Vivek, Vadlamani Ravi, Orsu Shiva Shankar

After the advent of big data, as data gets generated at a brisk pace, it is imperative to analyze it as soon as it is generated owing to the fact that the nature of the data may change dramatically in short time intervals.

regression

Explainable Reinforcement Learning on Financial Stock Trading using SHAP

no code implementations18 Aug 2022 Satyam Kumar, Mendhikar Vishal, Vadlamani Ravi

To the best of our knowledge, no work is reported that offers an Explainable Reinforcement Learning (XRL) method for trading financial stocks.

Ethics Explainable artificial intelligence +3

Privacy-Preserving Chaotic Extreme Learning Machine with Fully Homomorphic Encryption

no code implementations4 Aug 2022 Syed Imtiaz Ahamed, Vadlamani Ravi

The Machine Learning and Deep Learning Models require a lot of data for the training process, and in some scenarios, there might be some sensitive data, such as customer information involved, which the organizations might be hesitant to outsource for model building.

BIG-bench Machine Learning Privacy Preserving

Explainable Deep Belief Network based Auto encoder using novel Extended Garson Algorithm

no code implementations18 Jul 2022 Satyam Kumar, Vadlamani Ravi

Providing feature importance is the most important and popular interpretation technique used in shallow and deep neural networks.

Feature Importance regression

Privacy-Preserving Wavelet Neural Network with Fully Homomorphic Encryption

no code implementations26 May 2022 Syed Imtiaz Ahamed, Vadlamani Ravi

The techniques are combined with various Machine Learning models and even Deep Learning Networks to protect the data privacy as well as the identity of the user.

BIG-bench Machine Learning Privacy Preserving

Nowcasting the Financial Time Series with Streaming Data Analytics under Apache Spark

no code implementations23 Feb 2022 Mohammad Arafat Ali Khan, Chandra Bhushan, Vadlamani Ravi, Vangala Sarveswara Rao, Shiva Shankar Orsu

This paper proposes nowcasting of high-frequency financial datasets in real-time with a 5-minute interval using the streaming analytics feature of Apache Spark.

regression Time Series +1

Feature subset selection for Big Data via Chaotic Binary Differential Evolution under Apache Spark

no code implementations8 Feb 2022 Yelleti Vivek, Vadlamani Ravi, P. Radhakrishna

Hence, we embed Logistic and Tent chaotic maps into the BDE and named it as Chaotic Binary Differential Evolution (CBDE).

Combinatorial Optimization

FinGAN: Generative Adversarial Network for Analytical Customer Relationship Management in Banking and Insurance

no code implementations27 Jan 2022 Prateek Kate, Vadlamani Ravi, Akhilesh Gangwar

In the first, we propose an oversampling method to generate synthetic samples of minority class using Generative Adversarial Network (GAN).

Fraud Detection Generative Adversarial Network +1

Optimal Technical Indicator-based Trading Strategies Using NSGA-II

no code implementations26 Nov 2021 P. Shanmukh Kali Prasad, Vadlamani Madhav, Ramanuj Lal, Vadlamani Ravi

This paper proposes non-dominated sorting genetic algorithm-II (NSGA-II ) in the context of technical indicator-based stock trading, by finding optimal combinations of technical indicators to generate buy and sell strategies such that the objectives, namely, Sharpe ratio and Maximum Drawdown are maximized and minimized respectively.

Scalable Feature Subset Selection for Big Data using Parallel Hybrid Evolutionary Algorithm based Wrapper in Apache Spark

no code implementations26 Jun 2021 Yelleti Vivek, Vadlamani Ravi, Pisipati Radhakrishna

Owing to the emergence of large datasets, applying current sequential wrapper-based feature subset selection (FSS) algorithms increases the complexity.

Combinatorial Optimization Evolutionary Algorithms

Optimal Prediction Intervals for Macroeconomic Time Series Using Chaos and NSGA II

no code implementations23 Feb 2021 Vangala Sarveswararao, Vadlamani Ravi, Sheik Tanveer Ul Huq

We also proposed a 3-stage hybrid, wherein the 3rd stage invokes NSGA-II too in order to solve the problem of constructing PIs from the point prediction obtained in 2nd stage.

Prediction Intervals Time Series +1

A Novel BGCapsule Network for Text Classification

no code implementations2 Jul 2020 Akhilesh Kumar Gangwar, Vadlamani Ravi

In this paper, we propose a novel hybrid architecture viz., BGCapsule, which is a Capsule model preceded by an ensemble of Bidirectional Gated Recurrent Units (BiGRU) for several text classification tasks.

General Classification Image Classification +4

Article citation study: Context enhanced citation sentiment detection

no code implementations10 May 2020 Vishal Vyas, Kumar Ravi, Vadlamani Ravi, V. Uma, Srirangaraj Setlur, Venu Govindaraju

For citation analysis, we developed eight datasets comprising citation sentences, which are manually annotated by us into three sentiment polarities viz.

Feature Engineering Sentiment Analysis +2

Evolutionary Multi Objective Optimization Algorithm for Community Detection in Complex Social Networks

no code implementations7 May 2020 Shaik Tanveer ul Huq, Vadlamani Ravi, Kalyanmoy Deb

In this paper, we propose two variants of a three-objective formulation using a customized non-dominated sorting genetic algorithm III (NSGA-III) to find community structures in a network.

Community Detection

Optimizing the reliability of a bank with Logistic Regression and Particle Swarm Optimization

no code implementations31 Mar 2020 Vadlamani Ravi, Vadlamani Madhav

The proposed 2-stage strategy of using them in tandem is beneficial to the decision-makers within a bank who can try to achieve the optimal or near-optimal values of the financial ratios in order to maximize the reliability which is tantamount to safeguarding their bank against solvency or bankruptcy.

Electrical Engineering regression

Evolutionary Multi-Objective Optimization Framework for Mining Association Rules

no code implementations20 Mar 2020 Shaik Tanveer ul Huq, Vadlamani Ravi

In this paper, two multi-objective optimization frameworks in two variants (i. e., NSGA-III-ARM-V1, NSGA-III-ARM-V2; and MOEAD-ARM-V1, MOEAD-ARM-V2) are proposed to find association rules from transactional datasets.

Large Scale Global Optimization by Hybrid Evolutionary Computation

no code implementations9 Oct 2019 Gutha Jaya Krishna, Vadlamani Ravi

In management, business, economics, science, engineering, and research domains, Large Scale Global Optimization (LSGO) plays a predominant and vital role.

Management

CUDA-Self-Organizing feature map based visual sentiment analysis of bank customer complaints for Analytical CRM

no code implementations23 May 2019 Rohit Gavval, Vadlamani Ravi, Kalavala Revanth Harshal, Akhilesh Gangwar, Kumar Ravi

With the widespread use of social media, companies now have access to a wealth of customer feedback data which has valuable applications to Customer Relationship Management (CRM).

Descriptive Management +1

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