no code implementations • 23 Oct 2013 • Abhishek Dutta, Raymond Veldhuis, Luuk Spreeuwers
In Biometrics, facial uniqueness is commonly inferred from impostor similarity scores.
no code implementations • 24 Oct 2015 • Abhishek Dutta, Raymond Veldhuis, Luuk Spreeuwers
This paper proposes a data driven model to predict the performance of a face recognition system based on image quality features.
no code implementations • 24 Oct 2015 • Abhishek Dutta
A practical limitation of such a data driven generative model is the limited nature of training data set.
no code implementations • 8 Sep 2016 • Alassane Seck, William A. P. Smith, Arnaud Dessein, Bernard Tiddeman, Hannah Dee, Abhishek Dutta
We present a practical approach to capturing ear-to-ear face models comprising both 3D meshes and intrinsic textures (i. e. diffuse and specular albedo).
1 code implementation • 24 Apr 2019 • Abhishek Dutta, Andrew Zisserman
In this paper, we introduce a simple and standalone manual annotation tool for images, audio and video: the VGG Image Annotator (VIA).
4 code implementations • 20 Sep 2020 • Sidra Mehtab, Jaydip Sen, Abhishek Dutta
In this work, we propose an approach of hybrid modeling for stock price prediction building different machine learning and deep learning-based models.
no code implementations • 6 Apr 2021 • Jaydip Sen, Abhishek Dutta, Sidra Mehtab
Even more challenging is to build a system for constructing an optimum portfolio of stocks based on the forecasted future stock prices.
no code implementations • 28 May 2021 • Jaydip Sen, Sidra Mehtab, Abhishek Dutta
Volatility clustering is an important characteristic that has a significant effect on the behavior of stock markets.
no code implementations • 8 Oct 2021 • Jaydip Sen, Rajdeep Sen, Abhishek Dutta
The paradigm of machine learning and artificial intelligence has pervaded our everyday life in such a way that it is no longer an area for esoteric academics and scientists putting their effort to solve a challenging research problem.
no code implementations • 8 Nov 2021 • Jaydip Sen, Abhishek Dutta, Sidra Mehtab
The predicted and the actual returns of each portfolio are found to be high, indicating the high precision of the LSTM model.
no code implementations • 6 Jan 2022 • Jaydip Sen, Sidra Mehtab, Rajdeep Sen, Abhishek Dutta, Pooja Kherwa, Saheel Ahmed, Pranay Berry, Sahil Khurana, Sonali Singh, David W. W Cadotte, David W. Anderson, Kalum J. Ost, Racheal S. Akinbo, Oladunni A. Daramola, Bongs Lainjo
The chapters in the book illustrate how machine learning and deep learning algorithms and models are designed, optimized, and deployed.
no code implementations • 6 Feb 2022 • Jaydip Sen, Sidra Mehtab, Abhishek Dutta, Saikat Mondal
Portfolio design and optimization have been always an area of research that has attracted a lot of attention from researchers from the finance domain.
no code implementations • 2 Mar 2022 • Jaydip Sen, Sidra Mehtab, Abhishek Dutta, Saikat Mondal
Optimum portfolios are designed on the selected seven sectors.
no code implementations • 3 Oct 2022 • Jaydip Sen, Abhishek Dutta
The portfolios are built following the two approaches to historical stock prices from Jan 1, 2016, to Dec 31, 2020.
no code implementations • 8 Oct 2022 • Jaydip Sen, Abhishek Dutta
The evaluation of the portfolios is done based on their cumulative returns over the test period from Jan 1, 2021, to Dec 31, 2021.