activity
20182023
most citedRobust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models

70 citations · 80 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CV2023

V2CE: Video to Continuous Events Simulator

Zhongyang Zhang, Shuyang Cui, Kaidong Chai +4

Dynamic Vision Sensor (DVS)-based solutions have recently garnered significant interest across various computer vision tasks, offering notable benefits in terms of dynamic range, t…

q-fin.PM2023

Portfolio Optimization: A Comparative Study

Jaydip Sen, Subhasis Dasgupta

Portfolio optimization has been an area that has attracted considerable attention from the financial research community. Designing a profitable portfolio is a challenging task invo…

cs.CV2023★ 1 cited

Adversarial Attacks on Image Classification Models: FGSM and Patch Attacks and their Impact

Jaydip Sen, Subhasis Dasgupta

This chapter introduces the concept of adversarial attacks on image classification models built on convolutional neural networks (CNN). CNNs are very popular deep-learning models w…

cs.DB2023

An Optimized Tri-store System for Multi-model Data Analytics

Xiuwen Zheng, Subhasis Dasgupta, Arun Kumar +1

Data science applications increasingly rely on heterogeneous data sources and analytics. This has led to growing interest in polystore systems, especially analytical polystores. In…

cs.CR2023★ 7 cited

Data Privacy Preservation on the Internet of Things

Jaydip Sen, Subhasis Dasgupta

Recent developments in hardware and information technology have enabled the emergence of billions of connected, intelligent devices around the world exchanging information with min…

cs.CL2022

A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach

Subhasis Dasgupta, Jaydip Sen

Opinion mining is the branch of computation that deals with opinions, appraisals, attitudes, and emotions of people and their different aspects. This field has attracted substantia…

cs.DB2021

AWESOME: Empowering Scalable Data Science on Social Media Data with an Optimized Tri-Store Data System

Xiuwen Zheng, Subhasis Dasgupta, Arun Kumar +1

Modern data science applications increasingly use heterogeneous data sources and analytics. This has led to growing interest in polystore systems, especially analytical polystores.…

cs.DB2021

Discovering Technology Gaps using the IntSight Knowledge Navigator

Aurpon Gupta, Subhasis Dasgupta, Snehasis Sinha +1

Knowledge analysis is an important application of knowledge graphs. In this paper, we present a complex knowledge analysis problem that discovers the gaps in the technology areas o…

cs.SI2021

A Query-Driven System for Discovering Interesting Subgraphs in Social Media

Subhasis Dasgupta, Amarnath Gupta

Social media data are often modeled as heterogeneous graphs with multiple types of nodes and edges. We present a discovery algorithm that first chooses a "background" graph based o…

q-fin.ST2021★ 70 cited

Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models

Sidra Mehtab, Jaydip Sen, Subhasis Dasgupta

Prediction of stock price and stock price movement patterns has always been a critical area of research. While the well-known efficient market hypothesis rules out any possibility…

cs.SI2020★ 2 cited

Discovering Interesting Subgraphs in Social Media Networks

Subhasis Dasgupta, Amarnath Gupta

Social media data are often modeled as heterogeneous graphs with multiple types of nodes and edges. We present a discovery algorithm that first chooses a "background" graph based o…

cs.DB2019

Multi-Model Investigative Exploration of Social Media Data with boutique: A Case Study in Public Health

Junan Guo, Subhasis Dasgupta, Amarnath Gupta

We present our experience with a data science problem in Public Health, where researchers use social media (Twitter) to determine whether the public shows awareness of HIV preventi…

cs.DB2019

Ingesting High-Velocity Streaming Graphs from Social Media Sources

Subhasis Dasgupta, Aditya Bagchi, Amarnath Gupta

Many data science applications like social network analysis use graphs as their primary form of data. However, acquiring graph-structured data from social media presents some inter…

cs.DB2018

Answering Analytical Queries on Text Data with Temporal Term Histograms

Kai Lin, Subhasis Dasgupta, Amarnath Gupta

Temporal text, i.e., time-stamped text data are found abundantly in a variety of data sources like newspapers, blogs and social media posts. While today's data management systems p…