A soft ground micro TBM’s specific energy prediction using an eXplainable neural network through Shapley additive explanation and Optuna
Sign Up to like & getrecommendations! Published in 2024 at "Bulletin of Engineering Geology and the Environment"
DOI: 10.1007/s10064-024-03670-5
Abstract: In tunnel construction, efficiently predicting the energy usage of tunnel boring machines (TBMs) is critical for optimizing operations and reducing costs. This research proposes a novel method for predicting the specific energy of micro slurry… read more here.
Keywords: explainable neural; energy; xnn; specific energy ... See more keywords
A data centric HitL framework for conducting a systematic error analysis of NLP datasets using explainable AI
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-13452-y
Abstract: The interest in data-centric AI has been recently growing. As opposed to model-centric AI, data-centric approaches aim at iteratively and systematically improving the data throughout the model life cycle rather than in a single pre-processing… read more here.
Keywords: framework; data centric; analysis; nlp datasets ... See more keywords
Experimental Analysis of Trustworthy In-Vehicle Intrusion Detection System Using eXplainable Artificial Intelligence (XAI)
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3208573
Abstract: Anomaly-based In-Vehicle Intrusion Detection System (IV-IDS) is one of the protection mechanisms to detect cyber attacks on automotive vehicles. Using artificial intelligence (AI) for anomaly detection to thwart cyber attacks is promising but suffers from… read more here.
Keywords: intrusion detection; vehicle intrusion; artificial intelligence; detection ... See more keywords
Hardware-Assisted Malware Detection and Localization Using Explainable Machine Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2022.3150573
Abstract: Malicious software, popularly known as malware, is widely acknowledged as a serious threat to modern computing systems. Software-based solutions, such as anti-virus software (AVS), are not effective since they rely on matching patterns that can… read more here.
Keywords: malware detection; assisted malware; detection; using explainable ... See more keywords
Identifying determinants of readmission and death post-stroke using explainable machine learning
Sign Up to like & getrecommendations! Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0332371
Abstract: Background Stroke remains a global health challenge with high rates of mortality and rehospitalization placing significant demands on healthcare systems. Identifying factors that determine outcomes of post-hospitalization improves resource allocation. Traditional statistical prediction models are… read more here.
Keywords: post stroke; stroke; using explainable; non clinical ... See more keywords
Using explainable deep learning in da Vinci Xi robot for tumor detection
Sign Up to like & getrecommendations! Published in 2021 at "International Journal on Smart Sensing and Intelligent Systems"
DOI: 10.21307/ijssis-2021-017
Abstract: Deep learning has proved successful in computer-aided detection in interpreting ultrasound images, COVID infections, identifying tumors from computed tomography (CT) scans for humans and animals. This paper proposes applications of deep learning in detecting cancerous… read more here.
Keywords: using explainable; detection; vinci; deep learning ... See more keywords
GRAINY-XAI: A Domain-wise Granular Analysis of Sarcastic Text Using Explainable-AI Techniques
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2024.0831.74
Abstract: : Automatic sarcasm detection is essential as sarcastically written text produces noisy hidden information, which is detrimental to data-dependent systems. According to the literature, research focuses on single domain datasets. However, cross-domain or mix-domain sarcasm… read more here.
Keywords: grainy xai; analysis; across domains; model ... See more keywords
Alzheimer’s Multiclassification Using Explainable AI Techniques
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14188287
Abstract: In this study, we address the early detection challenges of Alzheimer’s disease (AD) using explainable artificial intelligence (XAI) techniques. AD, characterized by amyloid plaques and tau tangles, leads to cognitive decline and remains hard to… read more here.
Keywords: xai; alzheimer multiclassification; explainable techniques; multiclassification using ... See more keywords
Improving Crowdfunding Decisions Using Explainable Artificial Intelligence
Sign Up to like & getrecommendations! Published in 2025 at "Sustainability"
DOI: 10.3390/su17041361
Abstract: This paper investigates points of vulnerability in the decisions made by backers and campaigners in crowdfund pledges in an attempt to facilitate a sustainable entrepreneurial ecosystem by increasing the rate of good projects being funded.… read more here.
Keywords: crowdfunding decisions; improving crowdfunding; success; using explainable ... See more keywords