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ORCIDAnjali Gautam
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2020 – today
- 2024
[j13]Suvramalya Basak
, Anjali Gautam:
Diffusion-based normality pre-training for weakly supervised video anomaly detection. Expert Syst. Appl. 251: 124013 (2024)- [j12]Shilpi Gupta, Niraj Singhal, Sheela Hundekari, Kamal Upreti, Anjali Gautam, Pradeep Kumar, Rajesh Verma:
Aspect Based Feature Extraction in Sentiment Analysis using Bi-GRU-LSTM Model. J. Mobile Multimedia 20(4): 935-960 (2024) - [c8]Suvramalya Basak, Aditya Vaishy, Anjali Gautam:
Multi-teacher Importance Preserving Knowledge Distillation for Early Violence Prediction. ICPR (29) 2024: 179-195 - [i1]Himanshu Mittal, Suvramalya Basak, Anjali Gautam:
DIFEM: Key-points Interaction based Feature Extraction Module for Violence Recognition in Videos. CoRR abs/2412.05386 (2024) - 2023
- [j11]Anjali Gautam:
Recent advancements of deep learning in detecting breast cancer: a survey. Multim. Syst. 29(3): 917-943 (2023) - [j10]Anjali Gautam, Balasubramanian Raman:
Brain strokes classification by extracting quantum information from CT scans. Multim. Tools Appl. 82(11): 15927-15943 (2023) - [j9]Anjali Gautam, Divyesh Rana, Saksham Aggarwal, Swaraj Bhosle, Hritik Sharma:
Deep learning approach to automatically recognise license number plates. Multim. Tools Appl. 82(20): 31487-31504 (2023) - [c7]Anjali Gautam, Satish Kumar Singh:
Analysis of Deep Learning Models to Detect Breast Cancer from Histopathology Images. TENCON 2023: 438-443 - 2021
- [j8]Anjali Gautam, Balasubramanian Raman:
Towards effective classification of brain hemorrhagic and ischemic stroke using CNN. Biomed. Signal Process. Control. 63: 102178 (2021) - [j7]Anjali Gautam, Balasubramanian Raman:
Towards accurate classification of skin cancer from dermatology images. IET Image Process. 15(9): 1971-1986 (2021) - 2020
- [j6]Anjali Gautam, Vrijendra Singh:
CNN-VSR: A Deep Learning Architecture with Validation-Based Stopping Rule for Time Series Classication. Appl. Artif. Intell. 34(2): 101-124 (2020) - [j5]Anjali Gautam, Vrijendra Singh:
CLR-based deep convolutional spiking neural network with validation based stopping for time series classification. Appl. Intell. 50(3): 830-848 (2020) - [j4]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): 797-817 (2020) - [c6]Anjali Gautam, Balasubramanian Raman:
Skin Cancer Classification from Dermoscopic Images using Feature Extraction Methods. TENCON 2020: 958-963
2010 – 2019
- 2019
- [j3]Anjali Gautam, Punam Bedi:
FS-CARS: fast and scalable context-aware news recommender system using tensor factorisation. Int. J. Comput. Sci. Eng. 18(2): 118-129 (2019) - [j2]Anjali Gautam, Balasubramanian Raman:
Segmentation of ischemic stroke lesion from 3d mr images using random forest. Multim. Tools Appl. 78(6): 6559-6579 (2019) - 2018
- [c5]Anjali Gautam, Debanjan Sadhya, Balasubramanian Raman:
A Modified FCM-Based Brain Lesion Segmentation Scheme for Medical Images. CVIP (2) 2018: 149-159 - 2017
- [j1]Anjali Gautam, Punam Bedi:
Developing content-based recommender system using Hadoop Map Reduce. J. Intell. Fuzzy Syst. 32(4): 2997-3008 (2017) - [c4]Anjali Gautam, Vrijendra Singh:
Comparison of different NN training functions of NARX architecture for financial time series. ICIIS 2017: 1-6 - 2016
- [c3]Anjali Gautam, Parila Chaudhary, Kunal Sindhwani, Punam Bedi:
CBCARS: Content boosted context-aware recommendations using tensor factorization. ICACCI 2016: 75-81 - 2015
- [c2]Anjali Gautam, Punam Bedi:
MR-VSM: Map Reduce based vector Space Model for user profiling-an empirical study on News data. ICACCI 2015: 355-360 - 2014
- [c1]Anjali Gautam, Harvindra Bhadauria:
Classification of white blood cells based on morphological features. ICACCI 2014: 2363-2368
Coauthor Index
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