9 results for "Mohan Timilsina"
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Journal Article
Textual Pre-Trained Models for Age Screening Across Community Question-Answering
Almost every community Question-Answering (cQA) platform has the pressing need of enhancing user experience by presenting dedicated displays, connecting potential answerers with open questions and revitalizing the material in their archives. In doing so, it is crucial to understand the profile of…
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Journal Article Full text
Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model
Despite the growing popularity of machine learning models in the cyber‐security applications (e.g., an intrusion detection system (IDS)), most of these models are perceived as a black‐box. The eXplainable Artificial Intelligence (XAI) has become increasingly important to interpret the machine…
Also available at: DOAJ
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Journal Article
Machine learning approaches for predicting the onset time of the adverse drug events in oncology
Predicting the onset time of adverse drug events can substantially lessen the negative impact on the prognosis of cancer patients who are often subject of aggressive and highly toxic treatment regimens. However, the laboratory verification of each patient case to study the mechanics of adverse drug…
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Journal Article
Explaining customer churn prediction in telecom industry using tabular machine learning models
The study addresses customer churn, a major issue in service-oriented sectors like telecommunications, where it refers to the discontinuation of subscriptions. The research emphasizes the importance of recognizing customer satisfaction for retaining clients, focusing specifically on early churn…
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Journal Article
Integrating knowledge graph embeddings with clinical data: A case study on Acute Kidney Injury prediction
The integration of artificial intelligence (AI) and machine learning (ML) in healthcare has significantly advanced predictive analytics. Acute Kidney Injury (AKI), a condition marked by sudden kidney function loss, necessitates early intervention to improve patient outcomes. This study introduces a…
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Journal Article
Predicting links between tumor samples and genes using 2-Layered graph based diffusion approach
Abstract Background Determining the association between tumor sample and the gene is demanding because it requires a high cost for conducting genetic experiments. Thus, the discovered association between tumor sample and gene further requires clinical verification and validation. This entire…
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Journal Article
RAG4DS: Retrieval-Augmented Generation for Data Spaces—A Unified Lifecycle, Challenges, and Opportunities
Retrieval-Augmented Generation (RAG) has gained significant attention from many researchers as an effective solution to address the hallucination issue of Foundational Models (FMs), particularly Large Language Models (LLMs). Although the RAG framework is considered a successful approach for…
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Journal Article
Empowering Dataspace 4.0: Unveiling Promise of Decentralized Data-Sharing
Recently, there has been more interest in Decentralized Data-Sharing (DDS) because of the introduction of Dataspace 4.0. DDS is becoming increasingly popular as a safe, open, and effective way for many parties to data-sharing. Unlike conventional, centralized methods, DDS has several benefits, such…