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FCE: Feedback Based Counterfactual Explanations for Explainable AI
IEEE Access, 2022 Artificial Intelligence can provide quite accurate predictions for critical applications (e.g., healthcare), but lacks the ability to explain its internal mechanism in most applications which require high interaction with humans.
Muhammad Suffian +3 more
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User Feedback and Uncertainty in User Guided Binarization
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018 In a child's development, the child's inherent ability to construct knowledge from new information is as important as explicit instructional guidance. Similarly, mechanisms to produce suitable learning representations, which can be transferred and allow integration of new information are important for artificial learning systems.
Florian Westphal +2 more
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A Transparent home Sensors/Actuators layer for Health &Well-being services
EAI Endorsed Transactions on Pervasive Health and Technology, 2017 Risks factor leading to type 2 diabetes and cardiovascular diseases can be reduced by a preventive care infrastructure able to modify the habits toward healthier lifestyles, including more exercise, a better diet and a reduced stress.
Philippe Tanguy +3 more
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Performance analysis of layered random beamforming OFMDA with feedback reduction [PDF]
, 2007 This paper presents a downlink performance analysis of a Layered Random Beamforming (LRB) - MIMO-OFDMA Physical Layer (PHY) with feedback reduction as applicable to future generation wireless communication systems.
Armour, SMD +4 more
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The User Feedback on SentiWordNet
CoRR, 2013 With the release of SentiWordNet 3.0 the related Web interface has been restyled and improved in order to allow users to submit feedback on the SentiWordNet entries, in the form of the suggestion of alternative triplets of values for an entry. This paper reports on the release of the user feedback collected so far and on the plans for the future.
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Updating Model of Software Component Trustworthiness Based on Users Feedback
IEEE Access, 2019 The software trustworthiness measurement is one of the hot topics. Software component technology is the mainstream technology of software development.
Baohua Wang +3 more
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Capacity of All Nine Models of Channel Output Feedback for the Two-user Interference Channel [PDF]
, 2013 In this paper, we study the impact of different channel output feedback architectures on the capacity of the two-user interference channel. For a two-user interference channel, a feedback link can exist between receivers and transmitters in 9 canonical ...
Aggarwal, Vaneet +3 more
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RRLUFF: Ranking function based on Reinforcement Learning using User Feedback and Web Document Features [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 Principal aim of a search engine is to provide the sorted results according to user’s requirements. To achieve this aim, it employs ranking methods to rank the web documents based on their significance and relevance to user query.
V. Derhami, J. Paksima, H. Khajeh
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A survey on the use of relevance feedback for information access systems [PDF]
, 2003 Users of online search engines often find it difficult to express their need for information in the form of a query. However, if the user can identify examples of the kind of documents they require then they can employ a technique known as relevance ...
Lalmas, Mounia, Ruthven, Ian
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User Feedback in Probabilistic Integration
18th International Conference on Database and Expert Systems Applications (DEXA 2007), 2007 Data integration approaches mostly attempt to resolve semantic uncertainty and conflicts between data sources during the data integration process. In some application areas, this is impractical or even prohibitive. We propose a probabilistic XML approach that allows storage and querying of uncertain data.
Ander de Keijzer, Maurice van Keulen
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