Binary-Classifiers-Enabled Filters for Semi-Supervised Learning. - Teerath Kumar; Jinbae Park; Muhammad Salman Ali; A. F. M. Shahab Uddin; Jong Hwan Ko; Sung-Ho Bae (IEEE Access, 2021)

Investigating Multi-Feature Selection and Ensembling for Audio Classification. - Muhammad Turab; Teerath Kumar; Malika Bendechache; Takfarinas Saber (CoRR, 2022)

SQL and NoSQL Databases Software architectures performance analysis and assessments - A Systematic Literature review. - Wisal Khan; Teerath Kumar; Zhang Cheng; Kislay Raj; Arunabha M. Roy; Bin Luo 001 (CoRR, 2022)

Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets. - Sidra Aleem; Teerath Kumar; Suzanne Little; Malika Bendechache; Rob Brennan; Kevin McGuinness (CoRR, 2022)

Precise Single-stage Detector. - Aisha Chandio; Gong Gui; Teerath Kumar; Irfan Ullah; Ramin Ranjbarzadeh; Arunabha M. Roy; Akhtar Hussain; Yao Shen (CoRR, 2022)

Introducing Urdu Digits Dataset with Demonstration of an Efficient and Robust Noisy Decoder-Based Pseudo Example Generator. - Wisal Khan; Kislay Raj; Teerath Kumar; Arunabha M. Roy; Bin Luo 001 (Symmetry, 2022)

SQL and NoSQL Database Software Architecture Performance Analysis and Assessments - A Systematic Literature Review. - Wisal Khan; Teerath Kumar; Cheng Zhang 010; Kislay Raj; Arunabha M. Roy; Bin Luo 001 (Big Data Cogn. Comput., 2023)

Understanding EEG signals for subject-wise Definition of Armoni Activities. - Aditya Singh; Ramin Ranjbarzadeh; Kislay Raj; Teerath Kumar; Arunabha M. Roy (CoRR, 2023)

AudRandAug: Random Image Augmentations for Audio Classification. - Teerath Kumar; Muhammad Turab; Alessandra Mileo; Malika Bendechache; Takfarinas Saber (CoRR, 2023)

WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection. - Arunabha M. Roy; Jayabrata Bhaduri; Teerath Kumar; Kislay Raj (Ecol. Informatics, 2023)

ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition. - Ramin Ranjbarzadeh; Saeid Jafarzadeh Ghoushchi; Nazanin Tataei Sarshar; Erfan Babaee Tirkolaee; Sadia Samar Ali; Teerath Kumar; Malika Bendechache (Artif. Intell. Rev., 2023)

Debiasing Computer Vision Models using Data Augmentation based Adversarial Techniques. - Teerath Kumar; Abhishek Mandal; Susan Leavy; Suzanne Little; Alessandra Mileo; Malika Bendechache (BEWARE@AI*IA, 2024)

KeepOriginalAugment: Single Image-Based Better Information-Preserving Data Augmentation Approach. - Teerath Kumar; Alessandra Mileo; Malika Bendechache (AIAI (4), 2024)

Image Data Augmentation Approaches: A Comprehensive Survey and Future Directions. - Teerath Kumar; Rob Brennan; Alessandra Mileo; Malika Bendechache (IEEE Access, 2024)

OxML Challenge 2023: Carcinoma classification using data augmentation. - Kislay Raj; Teerath Kumar; Alessandra Mileo; Malika Bendechache (CoRR, 2024)

Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity. - Teerath Kumar; Alessandra Mileo; Malika Bendechache (CoRR, 2024)

A Review of Deep Packet Inspection for Network Security: From Traditional Techniques to Machine Learning Integration. - Teerath Kumar; Susan Leavy; Patrick Eustace; Edward Curry; Mamoona Naveed Asghar (ARES (Workshops 4), 2025)

RandSaliencyAug: Balancing Saliency-Based Data Augmentation for Enhanced Generalization. - Teerath Kumar; Alessandra Mileo; Malika Bendechache (VISIGRAPP (3): VISAPP, 2025)

Facesaliencyaug: mitigating geographic, gender and stereotypical biases via saliency-based data augmentation. - Teerath Kumar; Alessandra Mileo; Malika Bendechache (Signal Image Video Process., 2025)

Saliency-based metric and FaceKeepOriginalAugment: a novel approach for enhancing fairness and Diversity. - Teerath Kumar; Alessandra Mileo; Malika Bendechache (Multim. Syst., 2025)

Enhancing multimodal deepfake detection with local-global feature integration and diffusion models. - Muhammad Javed; Zhaohui Zhang; Fida Hussain Dahri; Teerath Kumar (Signal Image Video Process., 2025)