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20132026
most citedDeep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey

216 citations · 360 across the 30 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.IR2025

Hierarchical Book Organization for Learning-Resource Discovery using Dual-Path Graph Convolutions

Suraj Kumar, Utsav Kumar Nareti, Soumi Chattopadhyay +2

The growing availability of books and textual materials in digital learning environments necessitates reliable semantic organization to support scalable resource management and dis…

cs.IR2025

Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection

Roopa Bukke, Soumya Pandey, Suraj Kumar +2

The rapid proliferation of online misinformation threatens the stability of digital social systems and poses significant risks to public trust, policy, and safety, necessitating re…

cs.AI2025

ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification

Utsav Kumar Nareti, Suraj Kumar, Soumya Pandey +3

The rapid growth of user-generated text across digital platforms has intensified the need for interpretable models capable of fine-grained text classification and explanation. Exis…

cs.CY2025

Assessing Engineering Student Perceptions of Introductory CS Courses in an Indian Context

Utsav Kumar Nareti, Divyansh Gupta, Chandranath Adak +5

Understanding student perceptions of assessment is vital for designing inclusive and effective learning environments, especially in technical education. This study explores enginee…

cs.IR2025

Adaptive Data-Resilient Multi-Modal Hierarchical Multi-Label Book Genre Identification

Utsav Kumar Nareti, Soumi Chattopadhyay, Prolay Mallick +5

Identifying fine-grained book genres is essential for enhancing user experience through efficient discovery, personalized recommendations, and improved reader engagement. At the sa…

cs.CV2025★ 1 cited

RDD4D: 4D Attention-Guided Road Damage Detection And Classification

Asma Alkalbani, Muhammad Saqib, Ahmed Salim Alrawahi +3

Road damage detection and assessment are crucial components of infrastructure maintenance. However, current methods often struggle with detecting multiple types of road damage in a…