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A novel data-centric AI approach based on sensitivity and correlation analyses for multi-organ plant disease classification (2025)
Journal Article

With advancements in deep learning (DL), most research on classification problems has focused on developing or modifying DL models, known as model-centric artificial intelligence (AI) approaches. However, this approach is time-consuming and overlooks... Read More about A novel data-centric AI approach based on sensitivity and correlation analyses for multi-organ plant disease classification.

A Novel Topic Modelling Framework for Automated Surveying of Computer Vision Research in Prostate Cancer Detection (2025)
Journal Article

Retrieving the relevant information or material makes a big difference in the medical field because it is necessary to acquire updates on recent findings and inferences so that the practitioners can understand the state-of-the-art topics. Thus, extra... Read More about A Novel Topic Modelling Framework for Automated Surveying of Computer Vision Research in Prostate Cancer Detection.

Struck-Out Handwritten Word Detection and Restoration for Automatic Descriptive Answer Evaluation (2025)
Journal Article
Zhong, D., Palaiahnakote, S., Pal, U., & Lu, Y. (2025). Struck-Out Handwritten Word Detection and Restoration for Automatic Descriptive Answer Evaluation. Signal Processing: Image Communication, https://doi.org/10.1016/j.image.2024.117214

Unlike objective type evaluation, descriptive answer evaluation is challenging due to unpredictable answers and free writing style of answers. Because of these, descriptive answer evaluation has received special attention from many researchers. Autom... Read More about Struck-Out Handwritten Word Detection and Restoration for Automatic Descriptive Answer Evaluation.

Soft set-based MSER end-to-end system for occluded scene text detection, recognition and prediction (2024)
Journal Article
Das, A., Palaiahnakote, S., Banerjee, A., Antonacopoulos, A., & Pal, U. (2024). Soft set-based MSER end-to-end system for occluded scene text detection, recognition and prediction. Knowledge-Based Systems, https://doi.org/10.1016/j.knosys.2024.112593

The presence of unpredictable occlusions on natural scene text is a significant challenge, exacerbating the difficulties already posed on text detection and recognition by the variability of such images. Addressing the need for a robust, consistently... Read More about Soft set-based MSER end-to-end system for occluded scene text detection, recognition and prediction.

A Novel Infogain and Multi-Axial Wavelet-Based Transformer for Personality Trait Question Answering (2024)
Journal Article
Biswas, K., Palaiahnakote, S., Bhattacharya, S., Pal, U., & Sarkar, R. (2024). A Novel Infogain and Multi-Axial Wavelet-Based Transformer for Personality Trait Question Answering. International Journal of Pattern Recognition and Artificial Intelligence, https://doi.org/10.1142/s0218001424510236

Visual Question Answering (VQA) is one of the attractive topics in the field of multimedia, affective, and empathic computing to garner user interest. Unlike existing models which aim at addressing challenges of VQA for the scene images, this work ai... Read More about A Novel Infogain and Multi-Axial Wavelet-Based Transformer for Personality Trait Question Answering.

Domain‐independent adaptive histogram‐based features for pomegranate fruit and leaf diseases classification (2024)
Journal Article
Prajwala, M., Palaiahnakote, S., Prajwal Kumar, P., Maheshwarappa Gopinath, S., Basavanna, M., & P. Lopresti, D. (2024). Domain‐independent adaptive histogram‐based features for pomegranate fruit and leaf diseases classification. CAAI Transactions on Intelligence Technology, https://doi.org/10.1049/cit2.12390

Disease identification for fruits and leaves in the field of agriculture is important for estimating production, crop yield and earnings for farmers. In the specific case of pomegranates, this is challenging because of the wide range of possible dise... Read More about Domain‐independent adaptive histogram‐based features for pomegranate fruit and leaf diseases classification.

A New Contrastive Learning-Based Vision Transformer for Sentiment Analysis Using Scene Text Images (2024)
Journal Article
Palaiahnakote, S., Kapri, D., Saleem, M. H., & Pal, U. (2024). A New Contrastive Learning-Based Vision Transformer for Sentiment Analysis Using Scene Text Images. International Journal of Pattern Recognition and Artificial Intelligence, https://doi.org/10.1142/s0218001424520293

Sentiment analysis using scene text images is complex and challenging because it has an arbitrary background, and the method should rely on only visual features. Unlike most existing methods that use either text or images or both, this study uses onl... Read More about A New Contrastive Learning-Based Vision Transformer for Sentiment Analysis Using Scene Text Images.