The Best-of-n Problem with Dynamic Site Qualities: Achieving Adaptability with Stubborn Individuals. - Judhi Prasetyo; Giulia De Masi; Pallavi Ranjan; Eliseo Ferrante (ANTS Conference, 2018)

Unlocking the Potential of Unlabeled Data: Semi-Supervised Learning for Stratification of Hyperspectral Images. - Pallavi Ranjan; Rajeev Kumar 007; Ashish Girdhar (OCIT, 2023)

Deep Siamese Network with Handcrafted Feature Extraction for Hyperspectral Image Classification. - Pallavi Ranjan; Ashish Girdhar (Multim. Tools Appl., 2024)

A 3D-convolutional-autoencoder embedded Siamese-attention-network for classification of hyperspectral images. - Pallavi Ranjan; Rajeev Kumar 007; Ashish Girdhar (Neural Comput. Appl., 2024)

A novel spectral-spatial 3D auxiliary conditional GAN integrated convolutional LSTM for hyperspectral image classification. - Pallavi Ranjan; Ashish Girdhar; Ankur; Rajeev Kumar 007 (Earth Sci. Informatics, 2024)

Leveraging rANS for synchronized high capacity reversible data hiding in encrypted image. - Ankur; Rajeev Kumar 007; Pallavi Ranjan; Ki-Hyun Jung (Expert Syst. Appl., 2025)

Revolutionizing hyperspectral image classification for limited labeled data: unifying autoencoder-enhanced GANs with convolutional neural networks and zero-shot learning. - Pallavi Ranjan; Anukriti Kaushal; Ashish Girdhar; Rajeev Kumar 007 (Earth Sci. Informatics, 2025)

High-capacity reversible data hiding in encrypted images based on difference image transfiguration. - Ankur; Rajeev Kumar 007; Ajay K. Sharma; Pallavi Ranjan (Signal Image Video Process., 2025)