Explainable artificial intelligence to evaluate industrial internal security using EEG signals in IoT framework
Sign Up to like & getrecommendations! Published in 2021 at "Ad Hoc Networks"
DOI: 10.1016/j.adhoc.2021.102641
Abstract: Abstract Industrial insider threat detection has consistently been a popular field of research. To help detect potential insider threats, the emotional states of humans are identified through a wide range of physiological signals including the… read more here.
Keywords: artificial intelligence; insider; eeg signals; security ... See more keywords
Scenario-based prediction of climate change impacts on building cooling energy consumption with explainable artificial intelligence
Sign Up to like & getrecommendations! Published in 2021 at "Applied Energy"
DOI: 10.1016/j.apenergy.2021.116807
Abstract: Abstract In this paper, we present a newly developed eXplainable artificial intelligence (XAI) model to analyze the impacts of climate change on the cooling energy consumption ( E c ) in buildings, predict long-term E… read more here.
Keywords: artificial intelligence; climate change; energy; explainable artificial ... See more keywords
Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes?
Sign Up to like & getrecommendations! Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106415
Abstract: BACKGROUND AND OBJECTIVE Explainable Artificial Intelligence (XAI) has been identified as a viable method for determining the importance of features when making predictions using Machine Learning (ML) models. In this study, we created models that… read more here.
Keywords: adverse outcome; explainable artificial; adverse outcomes; pharmacovigilance ... See more keywords
Interpretation of Structure-Activity Relationships in Real-World Drug Design Data Sets Using Explainable Artificial Intelligence
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.1c01263
Abstract: In silico models based on Deep Neural Networks (DNNs) are promising for predicting activities and properties of new molecules. Unfortunately, their inherent black-box character hinders our understanding, as to which structural features are important for… read more here.
Keywords: explainable artificial; structure activity; artificial intelligence; activity ... See more keywords
TIRESIA: An eXplainable Artificial Intelligence Platform for Predicting Developmental Toxicity
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c01126
Abstract: Herein, a robust and reproducible eXplainable Artificial Intelligence (XAI) approach is presented, which allows prediction of developmental toxicity, a challenging human-health endpoint in toxicology. The application of XAI as an alternative method is of the… read more here.
Keywords: developmental toxicity; toxicology; explainable artificial; intelligence ... See more keywords
Collaborative Approach between Explainable Artificial Intelligence and Simplified Chemical Interactions to Explore Active Ligands for Cyclin-Dependent Kinase 2
Sign Up to like & getrecommendations! Published in 2022 at "ACS Omega"
DOI: 10.1021/acsomega.1c06976
Abstract: To improve virtual screening for drug discovery, we present a collaborative approach between explainable artificial intelligence (AI) and simplified chemical interaction scores to efficiently search for active ligands bound to the target receptor. In particular,… read more here.
Keywords: collaborative approach; explainable artificial; intelligence simplified; approach explainable ... See more keywords
Explainable Artificial Intelligence for Bayesian Neural Networks: Toward Trustworthy Predictions of Ocean Dynamics
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Advances in Modeling Earth Systems"
DOI: 10.1029/2022ms003162
Abstract: The trustworthiness of neural networks is often challenged because they lack the ability to express uncertainty and explain their skill. This can be problematic given the increasing use of neural networks in high stakes decision‐making… read more here.
Keywords: explainable artificial; neural network; bnn; neural networks ... See more keywords
Temperament estimation of toddlers from child–robot interaction with explainable artificial intelligence
Sign Up to like & getrecommendations! Published in 2021 at "Advanced Robotics"
DOI: 10.1080/01691864.2021.1955001
Abstract: ABSTRACT Personality estimation is a vital ability for communicating with others. It can help robots that interact with humans to model various human behaviors with a few parameters. Numerous studies have proposed models for estimating… read more here.
Keywords: estimation; explainable artificial; model; artificial intelligence ... See more keywords
Explainable Artificial Intelligence: Objectives, Stakeholders, and Future Research Opportunities
Sign Up to like & getrecommendations! Published in 2020 at "Information Systems Management"
DOI: 10.1080/10580530.2020.1849465
Abstract: Artificial Intelligence (AI) has diffused into many areas of our private and professional life. In this research note, we describe exemplary risks of black-box AI, the consequent need for explainability, and previous research on Explainable… read more here.
Keywords: research; future research; explainable artificial; intelligence objectives ... See more keywords
An Explainable Artificial Intelligence Predictor for Early Detection of Sepsis
Sign Up to like & getrecommendations! Published in 2020 at "Critical Care Medicine"
DOI: 10.1097/ccm.0000000000004550
Abstract: Supplemental Digital Content is available in the text. Objectives: Early detection of sepsis is critical in clinical practice since each hour of delayed treatment has been associated with an increase in mortality due to irreversible… read more here.
Keywords: artificial intelligence; sepsis; predictor; early detection ... See more keywords
Explainable Artificial Intelligence in CyberSecurity: A Survey
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3204171
Abstract: Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being’s daily life. Despite the AI benefits, its application suffers from the opacity of complex internal mechanisms and doesn’t satisfy by design the… read more here.
Keywords: explainable artificial; application; xai; artificial intelligence ... See more keywords