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pro vyhledávání: '"Pal, Nikhil"'
Uncovering new therapeutic uses of existing drugs, drug repositioning offers a fast and cost-effective strategy and holds considerable significance in the realm of drug discovery and development. In recent years, deep learning techniques have emerged
Externí odkaz:
http://arxiv.org/abs/2407.11812
Autor:
Singh, Neeraj Kumar, Pal, Nikhil R.
In this era of artificial intelligence, deep neural networks like Convolutional Neural Networks (CNNs) have emerged as front-runners, often surpassing human capabilities. These deep networks are often perceived as the panacea for all challenges. Unfo
Externí odkaz:
http://arxiv.org/abs/2311.08314
Autor:
Saha, Aytijhya, Pal, Nikhil R.
In this paper, we present a novel embedded feature selection method based on a Multi-layer Perceptron (MLP) network and generalize it for group-feature or sensor selection problems, which can control the level of redundancy among the selected feature
Externí odkaz:
http://arxiv.org/abs/2310.20524
Autor:
Das, Suchismita, Pal, Nikhil R.
When a data set has significant differences in its class and cluster structure, selecting features aiming only at the discrimination of classes would lead to poor clustering performance, and similarly, feature selection aiming only at preserving clus
Externí odkaz:
http://arxiv.org/abs/2307.03902
Autor:
Roy, Suvam, Pal, Nikhil Ranjan
We present a model of the primary visual cortex V1, guided by anatomical experiments. Unlike most machine learning systems our goal is not to maximize accuracy but to realize a system more aligned to biological systems. Our model consists of the V1 l
Externí odkaz:
http://arxiv.org/abs/2302.09074
Autor:
Das, Suchismita, Pal, Nikhil R.
Publikováno v:
Lecture Notes in Computer Science, vol 13756. Springer, Cham, 2022
Recently, several studies have claimed that using class-specific feature subsets provides certain advantages over using a single feature subset for representing the data for a classification problem. Unlike traditional feature selection methods, the
Externí odkaz:
http://arxiv.org/abs/2208.01294
Autor:
Karmakar, Sarbari, Pal, Nikhil
Publikováno v:
In Physica D: Nonlinear Phenomena November 2024 468
A major limitation of fuzzy or neuro-fuzzy systems is their failure to deal with high-dimensional datasets. This happens primarily due to the use of T-norm, particularly, product or minimum (or a softer version of it). Thus, there are hardly any work
Externí odkaz:
http://arxiv.org/abs/2201.03187
Autor:
Ramakrishnan, Balamurali, Wang, Zhen, Natiq, Hayder, Pal, Nikhil, Rajagopal, Karthikeyan, Jafari, Sajad
Publikováno v:
In AEUE - International Journal of Electronics and Communications December 2024 187