Teerath Kumar

Orcid: 0000-0001-8769-4989

According to our database1, Teerath Kumar authored at least 23 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Applications and limitations of large language models to integrate medical context: a comprehensive review.
Iran J. Comput. Sci., December, 2026

SMILES challenge 2025: Multitask learning with contrastive and natural language generation for enhanced medical image classification.
Signal Image Video Process., March, 2026

2025
Enhancing multimodal deepfake detection with local-global feature integration and diffusion models.
Signal Image Video Process., May, 2025

Saliency-based metric and FaceKeepOriginalAugment: a novel approach for enhancing fairness and Diversity.
Multim. Syst., April, 2025

Facesaliencyaug: mitigating geographic, gender and stereotypical biases via saliency-based data augmentation.
Signal Image Video Process., January, 2025

RandSaliencyAug: Balancing Saliency-Based Data Augmentation for Enhanced Generalization.
Proceedings of the 20th International Joint Conference on Computer Vision, 2025

A Review of Deep Packet Inspection for Network Security: From Traditional Techniques to Machine Learning Integration.
Proceedings of the Availability, Reliability and Security, 2025

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

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

Image Data Augmentation Approaches: A Comprehensive Survey and Future Directions.
IEEE Access, 2024

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

Debiasing Computer Vision Models using Data Augmentation based Adversarial Techniques.
Proceedings of the 3rd Workshop on Bias, 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


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