Interactive machine learning for health informatics: when do we need the human-in-the-loop?
about
The need to approximate the use-case in clinical machine learningIn silico modeling for tumor growth visualizationIdentification of Long Bone Fractures in Radiology Reports Using Natural Language Processing to support Healthcare Quality Improvement.Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes.NLPReViz: an interactive tool for natural language processing on clinical text.Machine learning enhanced virtual autopsy.Virtual autopsy: Machine Learning and AI provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients.Network-Guided Biomarker DiscoveryOptimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven ModelingIntroduction to MAchine Learning & Knowledge Extraction (MAKE)DO NOT DISTURB? Classifier Behavior on Perturbed DatasetsOn the Challenges and Opportunities in Visualization for Machine Learning and Knowledge Extraction: A Research AgendaThe More the Merrier - Federated Learning from Local Sphere RecommendationsA Tutorial on Machine Learning and Data Science Tools with PythonIntegrating Open Data on Cancer in Support to Tumor Growth AnalysisMachine Learning and Data Mining Methods for Managing Parkinson’s DiseaseMachine Learning for In Silico Modeling of Tumor GrowthMachine Learning for Health InformaticsReasoning Under Uncertainty: Towards Collaborative Interactive Machine LearningRecommender Systems for Health Informatics: State-of-the-Art and Future PerspectivesThe Right to Be Forgotten: Towards Machine Learning on Perturbed Knowledge BasesTowards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop ApproachAnalyzing and Predicting Empathy in Neurotypical and Nonneurotypical Users with an Affective Avatar
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Interactive machine learning for health informatics: when do we need the human-in-the-loop?
description
2016 nî lūn-bûn
@nan
2016 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Interactive machine learning f ...... we need the human-in-the-loop?
@ast
Interactive machine learning f ...... we need the human-in-the-loop?
@en
Interactive machine learning f ...... we need the human-in-the-loop?
@nl
type
label
Interactive machine learning f ...... we need the human-in-the-loop?
@ast
Interactive machine learning f ...... we need the human-in-the-loop?
@en
Interactive machine learning f ...... we need the human-in-the-loop?
@nl
prefLabel
Interactive machine learning f ...... we need the human-in-the-loop?
@ast
Interactive machine learning f ...... we need the human-in-the-loop?
@en
Interactive machine learning f ...... we need the human-in-the-loop?
@nl
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Interactive machine learning f ...... we need the human-in-the-loop?
@en
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10.1007/S40708-016-0042-6
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2016-06-01T00:00:00Z
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1018492967