scholarly journals A Human-in-The-Loop Context-Aware System Allowing the Application of Case-Based Reasoning for Asthma Management

2019 ◽  
pp. 125-140 ◽  
Author(s):  
Mario Quinde ◽  
Nawaz Khan ◽  
Juan Carlos Augusto ◽  
Aléchia van Wyk
Keyword(s):  
Asthma Management ◽  
Case Based Reasoning ◽  
Context Aware ◽  
Human In The Loop ◽  
Context Aware System ◽  
Case Based

scholarly journals Towards Transparent Human-in-the-Loop Classification of Fraudulent Web Shops

2020 ◽  
Author(s):  
Daphne Odekerken ◽  
Floris Bex
Keyword(s):  
Case Based Reasoning ◽  
Agent Architecture ◽  
Human In The Loop ◽  
Levels Of Detail ◽  
Legal Case ◽  
Dynamic Argumentation ◽  
Case Based

We propose an agent architecture for transparent human-in-the-loop classification. By combining dynamic argumentation with legal case-based reasoning, we create an agent that is able to explain its decisions at various levels of detail and adapts to new situations. It keeps the human analyst in the loop by presenting suggestions for corrections that may change the factors on which the current decision is based and by enabling the analyst to add new factors. We are currently implementing the agent for classification of fraudulent web shops at the Dutch Police.

scholarly journals A Cold Start Context-Aware Recommender System for Tour Planning Using Artificial Neural Network and Case Based Reasoning

2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Zahra Bahramian ◽  
Rahim Ali Abbaspour ◽  
Christophe Claramunt
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Recommender System ◽  
User Satisfaction ◽  
Cold Start ◽  
Case Based Reasoning ◽  
Specific Information ◽  
Context Aware ◽  
Artificial Neural ◽  
Case Based

Nowadays, large amounts of tourism information and services are available over the Web. This makes it difficult for the user to search for some specific information such as selecting a tour in a given city as an ordered set of points of interest. Moreover, the user rarely knows all his needs upfront and his preferences may change during a recommendation process. The user may also have a limited number of initial ratings and most often the recommender system is likely to face the well-known cold start problem. The objective of the research presented in this paper is to introduce a hybrid interactive context-aware tourism recommender system that takes into account user’s feedbacks and additional contextual information. It offers personalized tours to the user based on his preferences thanks to the combination of a case based reasoning framework and an artificial neural network. The proposed method has been tried in the city of Tehran in Iran. The results show that the proposed method outperforms current artificial neural network methods and combinations of case based reasoning withk-nearest neighbor methods in terms of user effort, accuracy, and user satisfaction.

Context-Aware Service Discovery Using Case-Based Reasoning Methods

2009 ◽  
pp. 664-671
Author(s):  
Markus Weber ◽  
Thomas Roth-Berghofer ◽  
Volker Hudlet ◽  
Heiko Maus ◽  
Andreas Dengel
Keyword(s):  
Service Discovery ◽  
Case Based Reasoning ◽  
Context Aware ◽  
Context Aware Service ◽  
Case Based

Context-Aware Case-Based Reasoning

2014 ◽  
pp. 229-238 ◽  
Author(s):  
Albert Pla ◽  
Jordi Coll ◽  
Natalia Mordvaniuk ◽  
Beatriz López
Keyword(s):  
Case Based Reasoning ◽  
Context Aware ◽  
Case Based

scholarly journals Is ‘Context-Aware Reasoning = Case-Based Reasoning’?

2017 ◽  
pp. 418-431 ◽  
Author(s):  
Nawaz Khan ◽  
Unai Alegre ◽  
Dean Kramer ◽  
Juan Carlos Augusto
Keyword(s):  
Case Based Reasoning ◽  
Context Aware ◽  
Case Based
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