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Critical Thinking About Explainable AI (XAI) for Rule-Based Fuzzy Systems
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AI Virtual Reality Related Evidence Matrix
- Memristive Explainable Artificial Intelligence Hardware
- eXplainable Artificial Intelligence (XAI) for improving organisational regility
- Explainable artificial intelligence for cough-related quality of life impairment prediction in asthmatic patients
- Human-centred explanations for artificial intelligence systems
- A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis Using EEG Signals
- Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection
- Using test-time augmentation to investigate explainable AI: inconsistencies between method, model and human intuition
- Evaluating Explanations from AI Algorithms for Clinical Decision-Making: A Social Science-based Approach
- From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?
- Classification of artificial intelligence tools for civil engineering under the notion of complex fuzzy rough Frank aggregation operators
- Taming the chaos ?! - part 2: limitations of using eXplainable Artificial Intelligence (XAI) to tackle the complexity in psychotherapy of children and adolescents
- Taming the chaos ?! - part 2: limitations of using eXplainable Artificial Intelligence (XAI) to tackle the complexity in psychotherapy of children and adolescents
- Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophrenia
- Gray matter matters: Cognitive stability and flexibility in schizophrenia spectrum disorder
- Measuring Alliance and Symptom Severity in Psychotherapy Transcripts Using Bert Topic Modeling
- Enhancing solids deposit prediction in gully pots with explainable hybrid models: A review
- XAI-FusionNet: Diabetic foot ulcer detection based on multi-scale feature fusion with explainable artificial intelligence
- Survival estimation of oral cancer using fuzzy deep learning
- Teaching diagnostic radiology to radiology majors: Implementation and evaluation of a flipped classroom model
- Prediction of attention deficit hyperactivity disorder based on explainable artificial intelligence
- Analysis and interpretability of machine learning models to classify thyroid disease
- Stochastic neuro-fuzzy system implemented in memristor crossbar arrays
- Integrating Explainable Machine Learning in Clinical Decision Support Systems: Study Involving a Modified Design Thinking Approach
- Alignment of Learning Objectives, Assessments and Active Learning to Promote Critical Thinking in a First Year Medical Physiology Course: Lessons Learned
- Sequential safe static and dynamic screening rule for accelerating support tensor machine
- PI-QUAL version 2: an update of a standardised scoring system for the assessment of image quality of prostate MRI
- PI-QUAL version 2: an update of a standardised scoring system for the assessment of image quality of prostate MRI
- Identifying cancer patients who received palliative care using the SPICT-LIS in medical records: a rule-based algorithm and text-mining technique
- Association Between Cortical Thickness or Surface Area and Divergent Thinking in Patients with Bipolar Disorder
- Detection of Personal and Family History of Suicidal Thoughts and Behaviors using Deep Learning and Natural Language Processing: A Multi-Site Study
- Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task
- Increase in Suicidal Thinking During COVID-19
- Maximizing solar power generation through conventional and digital MPPT techniques: a comparative analysis
- Desire Thinking About Gambling: Assessment and Associations With Gambling Disorder and Responsible Gambling Among Chinese Gamblers
- Explainable AI Method for Tinnitus Diagnosis via Neighbor-Augmented Knowledge Graph and Traditional Chinese Medicine: Development and Validation Study
- Book talk: Sam Bagg, ‘The Dispersion of Power: A Critical Realist Theory of Democracy’
- Machine Learning-Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study
- An explainable machine learning model for prediction of high-risk nonalcoholic steatohepatitis
- HO-SsNF: heap optimizer-based self-systematized neural fuzzy approach for cervical cancer classification using pap smear images
- Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study
- Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence
- Validation of key components in designing a social skills training content using virtual reality for high functioning autism youth-A Fuzzy Delphi method
- ChatGPT: Literate or intelligent about UN sustainable development goals?
- The role of interoceptive awareness in shaping the relationship between desire thinking and cigarette consumption
- Brooding, Reflection, and Anger Rumination Relate to Suicidal Ideation through the Role of Thought Control
- Brooding, Reflection, and Anger Rumination Relate to Suicidal Ideation through the Role of Thought Control
- Artificial intelligence to develop outcomes for critical thinking: A helping start and still up to the educator to develop the final outcome
- Childhood emotional abuse and depression symptoms among Chinese adolescents: The sequential masking effect of ruminative thinking and deliberate rumination
- Neuron-level explainable AI for Alzheimer's Disease assessment from fundus images
- Use of artificial intelligence in critical care: opportunities and obstacles
- ML-based risk assessment tool to rule out empiric use of ESBL-targeted therapy in endemic areas
- Wearable sensors in patient acuity assessment in critical care
- Implementation of Cognitive Health Services in Large Systems of Care: Highlights From Coordinated Specialty Care for First Episode Psychosis
- Investigation of divergent thinking among surgeons and surgeon trainees in Canada (IDEAS): a mixed-methods study
- Presentation: Regulating Advanced AI Systems - Oxford Martin AI Governance Initiative
- Explainable AI for CHO cell culture media optimization and prediction of critical quality attribute
- Embracing ChatGPT for Medical Education: Exploring Its Impact on Doctors and Medical Students
- Enhancing hERG Risk Assessment with Interpretable Classificatory and Regression Models
- Leveraging physics-based and explainable machine learning approaches to quantify the relative contributions of rain and air pollutants to wet deposition
- Current perspectives on the use of artificial intelligence in critical patient safety
- Optical biosensors for diagnosis of COVID-19: nanomaterial-enabled particle strategies for post pandemic era
- Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis
- The value of machine learning based on CT radiomics in the preoperative identification of peripheral nerve invasion in colorectal cancer: a two-center study
- Algor-ethics: charting the ethical path for AI in critical care
Evidence Blueprint
Critical Thinking About Explainable AI (XAI) for Rule-Based Fuzzy Systems
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More Evidence
Critical Thinking About Explainable AI (XAI) for Rule-Based Fuzzy Systems
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
- Memristive Explainable Artificial Intelligence Hardware
- eXplainable Artificial Intelligence (XAI) for improving organisational regility
- Explainable artificial intelligence for cough-related quality of life impairment prediction in asthmatic patients
- Human-centred explanations for artificial intelligence systems
- A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis Using EEG Signals
- Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection
- Using test-time augmentation to investigate explainable AI: inconsistencies between method, model and human intuition
- Evaluating Explanations from AI Algorithms for Clinical Decision-Making: A Social Science-based Approach
- From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?
- Leveraging explainable artificial intelligence to optimize clinical decision support
- Toward explainable AI (XAI) for mental health detection based on language behavior
- Classification of artificial intelligence tools for civil engineering under the notion of complex fuzzy rough Frank aggregation operators
- Recentering responsible and explainable artificial intelligence research on patients: implications in perinatal psychiatry
- An application of fuzzy bipolar weighted correlation coefficient in decision-making problem
- Taming the chaos ?! - part 2: limitations of using eXplainable Artificial Intelligence (XAI) to tackle the complexity in psychotherapy of children and adolescents
- Taming the chaos ?! - part 2: limitations of using eXplainable Artificial Intelligence (XAI) to tackle the complexity in psychotherapy of children and adolescents
- Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophrenia
- Gray matter matters: Cognitive stability and flexibility in schizophrenia spectrum disorder
- Measuring Alliance and Symptom Severity in Psychotherapy Transcripts Using Bert Topic Modeling
- The need for systems thinking to advance Alzheimer's disease research
- Mutant GGGGCC RNA prevents YY1 from binding to Fuzzy promoter which stimulates Wnt/β-catenin pathway in C9ALS/FTD
- Enhancing solids deposit prediction in gully pots with explainable hybrid models: A review
- XAI-FusionNet: Diabetic foot ulcer detection based on multi-scale feature fusion with explainable artificial intelligence
- Survival estimation of oral cancer using fuzzy deep learning
- Teaching diagnostic radiology to radiology majors: Implementation and evaluation of a flipped classroom model
- Prediction of attention deficit hyperactivity disorder based on explainable artificial intelligence
- Analysis and interpretability of machine learning models to classify thyroid disease
- Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients
- Stochastic neuro-fuzzy system implemented in memristor crossbar arrays
- Integrating Explainable Machine Learning in Clinical Decision Support Systems: Study Involving a Modified Design Thinking Approach
- Alignment of Learning Objectives, Assessments and Active Learning to Promote Critical Thinking in a First Year Medical Physiology Course: Lessons Learned
- Twisted memories: Addiction-related engrams are strengthened by desire thinking
- Sequential safe static and dynamic screening rule for accelerating support tensor machine
- PI-QUAL version 2: an update of a standardised scoring system for the assessment of image quality of prostate MRI
- PI-QUAL version 2: an update of a standardised scoring system for the assessment of image quality of prostate MRI
- Refined Composite Multiscale Fuzzy Dispersion Entropy and Its Applications to Bearing Fault Diagnosis
- Identifying cancer patients who received palliative care using the SPICT-LIS in medical records: a rule-based algorithm and text-mining technique
- AOA Critical Issues: A Culture of Safety Across All Orthopaedic Professional Endeavors
- Association Between Cortical Thickness or Surface Area and Divergent Thinking in Patients with Bipolar Disorder
- Development and validation of a delirium care critical-thinking scale for intensive care unit nurses: A mixed-method study
- Autistic traits associated with dichotomic thinking mediated by intolerance of uncertainty
- Detection of Personal and Family History of Suicidal Thoughts and Behaviors using Deep Learning and Natural Language Processing: A Multi-Site Study
- Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task
- Increase in Suicidal Thinking During COVID-19
- Procedural auditory category learning is selectively disrupted in developmental language disorder
- Maximizing solar power generation through conventional and digital MPPT techniques: a comparative analysis
- Desire Thinking About Gambling: Assessment and Associations With Gambling Disorder and Responsible Gambling Among Chinese Gamblers
- The legacy of social anxiety-linked negative expectancy: A pathway from pre-event negative expectancies to post-event negative thinking
- Explainable AI Method for Tinnitus Diagnosis via Neighbor-Augmented Knowledge Graph and Traditional Chinese Medicine: Development and Validation Study
- Book talk: Sam Bagg, ‘The Dispersion of Power: A Critical Realist Theory of Democracy’
- Machine Learning-Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study
- An explainable machine learning model for prediction of high-risk nonalcoholic steatohepatitis
- Testamentary capacity assessment in dementia using artificial intelligence: prospects and challenges
- HO-SsNF: heap optimizer-based self-systematized neural fuzzy approach for cervical cancer classification using pap smear images
- Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study
- Towards Personalised Mood Prediction and Explanation for Depression from Biophysical Data
- Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence
- Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism
- Validation of key components in designing a social skills training content using virtual reality for high functioning autism youth-A Fuzzy Delphi method
- Links between mental health problems and future thinking from the perspective of adolescents with experience of depression and anxiety: a qualitative study
- Complexity Measures of Psychotic Brain Activity in the Fmri Signal
- ChatGPT: Literate or intelligent about UN sustainable development goals?
- The role of interoceptive awareness in shaping the relationship between desire thinking and cigarette consumption
- Brooding, Reflection, and Anger Rumination Relate to Suicidal Ideation through the Role of Thought Control