In this work, we address the challenge of identifying the inference relation between a plain
language statement and Clinical Trial Reports (CTRs) by using a T5-large model …

Anomaly based Intrusion Detection System, in the recent years, has become more
dependent on learning methods-specially on classifications schemes. To make the …

Electronic invoicing has been mandatory for Italian companies since January 2019. All the
invoices are structured in a predefined xml template which facilitates the extraction of the …

Machine learning techniques have facilitated image retrieval by automatically classifying
and annotating images with keywords. Among them Support Vector Machines (SVMs) have …

Massive unstructured geoscience data are buried in geological reports. Geological text
classification provides opportunities to leverage this wealth of data for geology and …

Hospital-acquired infections pose a significant risk to patient health, while their surveillance
is an additional workload for hospital staff. Our overall aim is to build a surveillance system …

OBJECTIVES: To investigate whether (1) machine learning classifiers can help identify
nonrandomized studies eligible for full-text screening by systematic reviewers;(2) classifier …

Incomputer networks, Intrusion Detection has become a major concern. In network security,
various traditional techniques like intrusion prevention, cryptography and user …

Classification of the image is an integral part of the digital picture and plays a very significant
role in the development of remote sensing technologies. Thus the need to find sophisticated …

The EDiReF shared task at SemEval 2024 comprises three subtasks: Emotion Recognition
in Conversation (ERC) in Hindi-English code-mixed conversations, Emotion Flip Reasoning …