Anjali Gautam

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Histopathology Images

Weakly Supervised

Top Venues

Multim. Tools Appl.

Biomed. Signal Process. Control.

Publications

Suvramalya Basak, Anjali Gautam
Diffusion-based normality pre-training for weakly supervised video anomaly detection. Expert Syst. Appl. 251 (2024)
Anjali Gautam, Divyesh Rana, Saksham Aggarwal, Swaraj Bhosle, Hritik Sharma
Deep learning approach to automatically recognise license number plates. Multim. Tools Appl. 82 (20) (2023)
Anjali Gautam, Satish Kumar Singh
Analysis of Deep Learning Models to Detect Breast Cancer from Histopathology Images. TENCON (2023)
Anjali Gautam
Recent advancements of deep learning in detecting breast cancer: a survey. Multim. Syst. 29 (3) (2023)
Anjali Gautam, Balasubramanian Raman
Brain strokes classification by extracting quantum information from CT scans. Multim. Tools Appl. 82 (11) (2023)
Anjali Gautam, Balasubramanian Raman
Towards accurate classification of skin cancer from dermatology images. IET Image Process. 15 (9) (2021)
Anjali Gautam, Balasubramanian Raman
Towards effective classification of brain hemorrhagic and ischemic stroke using CNN. Biomed. Signal Process. Control. 63 (2021)
Anjali Gautam, Vrijendra Singh
CNN-VSR: A Deep Learning Architecture with Validation-Based Stopping Rule for Time Series Classication. Appl. Artif. Intell. 34 (2) (2020)
Anjali Gautam, Vrijendra Singh
CLR-based deep convolutional spiking neural network with validation based stopping for time series classification. Appl. Intell. 50 (3) (2020)
Anjali Gautam, Balasubramanian Raman
Skin Cancer Classification from Dermoscopic Images using Feature Extraction Methods. TENCON (2020)
Anjali Gautam, Balasubramanian Raman
Local gradient of gradient pattern: a robust image descriptor for the classification of brain strokes from computed tomography images. Pattern Anal. Appl. 23 (2) (2020)
Anjali Gautam, Punam Bedi
FS-CARS: fast and scalable context-aware news recommender system using tensor factorisation. Int. J. Comput. Sci. Eng. 18 (2) (2019)
Anjali Gautam, Balasubramanian Raman
Segmentation of ischemic stroke lesion from 3d mr images using random forest. Multim. Tools Appl. 78 (6) (2019)
Anjali Gautam, Debanjan Sadhya, Balasubramanian Raman
A Modified FCM-Based Brain Lesion Segmentation Scheme for Medical Images. CVIP (2) (2018)
Anjali Gautam, Vrijendra Singh
Comparison of different NN training functions of NARX architecture for financial time series. ICIIS (2017)
Anjali Gautam, Punam Bedi
Developing content-based recommender system using Hadoop Map Reduce. J. Intell. Fuzzy Syst. 32 (4) (2017)
Anjali Gautam, Parila Chaudhary, Kunal Sindhwani, Punam Bedi
CBCARS: Content boosted context-aware recommendations using tensor factorization. ICACCI (2016)
Anjali Gautam, Punam Bedi
MR-VSM: Map Reduce based vector Space Model for user profiling-an empirical study on News data. ICACCI (2015)
Anjali Gautam, Harvindra Bhadauria
Classification of white blood cells based on morphological features. ICACCI (2014)