Anjali Gautam

According to our database, Anjali Gautam authored at least 18 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Recent advancements of deep learning in detecting breast cancer: a survey.

Anjali Gautam

Multim. Syst., June, 2023

Brain strokes classification by extracting quantum information from CT scans.

Anjali Gautam, Balasubramanian Raman

Multim. Tools Appl., May, 2023

Deep learning approach to automatically recognise license number plates.

Anjali Gautam, Divyesh Rana, Saksham Aggarwal, Swaraj Bhosle, Hritik Sharma

Multim. Tools Appl., 2023

Analysis of Deep Learning Models to Detect Breast Cancer from Histopathology Images.

Anjali Gautam, Satish Kumar Singh

Proceedings of the IEEE Region 10 Conference, 2023

2021

Towards accurate classification of skin cancer from dermatology images.

Anjali Gautam, Balasubramanian Raman

IET Image Process., 2021

Towards effective classification of brain hemorrhagic and ischemic stroke using CNN.

Anjali Gautam, Balasubramanian Raman

Biomed. Signal Process. Control., 2021

2020

Local gradient of gradient pattern: a robust image descriptor for the classification of brain strokes from computed tomography images.

Anjali Gautam, Balasubramanian Raman

Pattern Anal. Appl., 2020

CLR-based deep convolutional spiking neural network with validation based stopping for time series classification.

Anjali Gautam, Vrijendra Singh

Appl. Intell., 2020

CNN-VSR: A Deep Learning Architecture with Validation-Based Stopping Rule for Time Series Classication.

Anjali Gautam, Vrijendra Singh

Appl. Artif. Intell., 2020

Skin Cancer Classification from Dermoscopic Images using Feature Extraction Methods.

Anjali Gautam, Balasubramanian Raman

Proceedings of the 2020 IEEE Region 10 Conference, 2020

2019

Segmentation of ischemic stroke lesion from 3d mr images using random forest.

Anjali Gautam, Balasubramanian Raman

Multim. Tools Appl., 2019

FS-CARS: fast and scalable context-aware news recommender system using tensor factorisation.

Anjali Gautam, Punam Bedi

Int. J. Comput. Sci. Eng., 2019

2018

A Modified FCM-Based Brain Lesion Segmentation Scheme for Medical Images.

Anjali Gautam, Debanjan Sadhya, Balasubramanian Raman

Proceedings of 3rd International Conference on Computer Vision and Image Processing - CVIP 2018, Jabalpur, India, September 29, 2018

2017

Developing content-based recommender system using Hadoop Map Reduce.

Anjali Gautam, Punam Bedi

J. Intell. Fuzzy Syst., 2017

Comparison of different NN training functions of NARX architecture for financial time series.

Anjali Gautam, Vrijendra Singh

Proceedings of the 2017 IEEE International Conference on Industrial and Information Systems, 2017

2016

CBCARS: Content boosted context-aware recommendations using tensor factorization.

Anjali Gautam, Parila Chaudhary, Kunal Sindhwani, Punam Bedi

Proceedings of the 2016 International Conference on Advances in Computing, 2016

2015

MR-VSM: Map Reduce based vector Space Model for user profiling-an empirical study on News data.

Anjali Gautam, Punam Bedi

Proceedings of the 2015 International Conference on Advances in Computing, 2015

2014

Classification of white blood cells based on morphological features.

Anjali Gautam, Harvindra Bhadauria

Proceedings of the 2014 International Conference on Advances in Computing, 2014