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researcher

Jaydip Sen

Department of Data Science and Artificial Intelligence, Praxis Business School, Kolkata, INDIA

98 papers hereh-index 315.4k citations166 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author42
  • first author40
  • middle author4
  • last author12

Across the 98 of 98 papers where every author was matched, so the position is known.

fields
  • cs.CR46
  • q-fin.ST14
  • q-fin.PM12
  • cs.NI10
  • cs.LG3
  • cs.OH3
affiliations
  • Department of Data Science and Artificial Intelligence, Praxis Business School, Kolkata, INDIA
Homepage
same name
  • Jaydip Sen — 15 papers, h 6
  • Jaydip Sen — 12 papers, h 3
  • Jaydip Sen — 2 papers
  • Jaydip Sen — 1 paper, h 0
  • Jaydip Sen — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102025
most citedStock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models

177 citations · 1.8k across the 97 of their papers we have counts for

collaborators
Showing 2017 · q-fin.STShow all

3 papers · 2 filters

q-fin.ST2017★ 7 cited

Decomposition of Time Series Data to Check Consistency between Fund Style and Actual Fund Composition of Mutual Funds

Jaydip Sen, Tamal Datta Chaudhuri

We propose a novel approach for analysis of the composition of an equity mutual fund based on the time series decomposition of the price movements of the individual stocks of the f…

q-fin.ST2017

An Investigation of the Structural Characteristics of the Indian IT Sector and the Capital Goods Sector: An Application of the R Programming in Time Series Decomposition and Forecasting

Jaydip Sen, Tamal Datta Chaudhuri

Time series analysis and forecasting of stock market prices has been a very active area of research over the last two decades. Availability of extremely fast and parallel architect…

q-fin.ST2017★ 19 cited

A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector

Jaydip Sen, Tamal Datta Chaudhuri

Designing efficient and robust algorithms for accurate prediction of stock market prices is one of the most exciting challenges in the field of time series analysis and forecasting…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.