Explainable AI in scene understanding for autonomous vehicles in unstructured traffic environments on Indian roads using the inception U-Net Model with Grad-CAM …
The intelligent transportation system, especially autonomous vehicles, has seen a lot of
interest among researchers owing to the tremendous work in modern artificial intelligence …
interest among researchers owing to the tremendous work in modern artificial intelligence …
Automated seismic event detection considering faulty data interference using deep learning and Bayesian fusion
Structural health monitoring (SHM) aims to assess civil infrastructures' performance and
ensure safety. Automated detection of in situ events of interest, such as earthquakes, from …
ensure safety. Automated detection of in situ events of interest, such as earthquakes, from …
PoliToHFI at SemEval-2023 task 6: leveraging entity-aware and hierarchical transformers for legal entity recognition and court judgment prediction
Abstract The use of Natural Language Processing techniques in the legal domain has
become established for supporting attorneys and domain experts in content retrieval and …
become established for supporting attorneys and domain experts in content retrieval and …
Artificial Intelligence-Powered Legal Document Processing for Medical Negligence Cases: A Critical Review
G Naidu, V Krishnan - International Journal of Intelligence Science, 2025 - scirp.org
This critical review looks at the assessment of the application of artificial intelligence in
handling legal documents with specific reference to medical negligence cases with a view of …
handling legal documents with specific reference to medical negligence cases with a view of …
Exploring explainable AI in the tax domain
This paper analyses whether current explainable AI (XAI) techniques can help to address
taxpayer concerns about the use of AI in taxation. As tax authorities around the world …
taxpayer concerns about the use of AI in taxation. As tax authorities around the world …
Boosting court judgment prediction and explanation using legal entities
The automatic prediction of court case judgments using Deep Learning and Natural
Language Processing is challenged by the variety of norms and regulations, the inherent …
Language Processing is challenged by the variety of norms and regulations, the inherent …
SenteCon: Leveraging Lexicons to Learn Human-Interpretable Language Representations
V Lin, LP Morency - arXiv preprint arXiv:2305.14728, 2023 - arxiv.org
Although deep language representations have become the dominant form of language
featurization in recent years, in many settings it is important to understand a model's …
featurization in recent years, in many settings it is important to understand a model's …