Teerath Kumar

Orcid: 0000-0001-8769-4989

According to our database1, Teerath Kumar authored at least 15 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity.
CoRR, 2024

FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data Augmentation.
CoRR, 2024

OxML Challenge 2023: Carcinoma classification using data augmentation.
CoRR, 2024

KeepOriginalAugment: Single Image-Based Better Information-Preserving Data Augmentation Approach.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023
ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition.
Artif. Intell. Rev., September, 2023

WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection.
Ecol. Informatics, July, 2023

AudRandAug: Random Image Augmentations for Audio Classification.
CoRR, 2023

Understanding EEG signals for subject-wise Definition of Armoni Activities.
CoRR, 2023

SQL and NoSQL Database Software Architecture Performance Analysis and Assessments - A Systematic Literature Review.
Big Data Cogn. Comput., 2023

2022
Introducing Urdu Digits Dataset with Demonstration of an Efficient and Robust Noisy Decoder-Based Pseudo Example Generator.
Symmetry, 2022

Precise Single-stage Detector.
CoRR, 2022

Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets.
CoRR, 2022

SQL and NoSQL Databases Software architectures performance analysis and assessments - A Systematic Literature review.
CoRR, 2022

Investigating Multi-Feature Selection and Ensembling for Audio Classification.
CoRR, 2022

2021
Binary-Classifiers-Enabled Filters for Semi-Supervised Learning.
IEEE Access, 2021


  Loading...