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H Hassanin, B A Mousa, E A Shraf, A M Salam
2004 Egyptian Journal for Engineering Sciences and Technology  
In this paper, A prototype Case-Based Reasoning (CBR) methodology is used to predict the structural number of asphalt pavement sections through developing knowledge-base containing 2400 cases.  ...  By entering the inputs of a new case that includes the deflection basin measured in the field using the falling weight deflectometer into the CBR system, the system will retrieve the most similar case  ...  A PROTOTYPE CASE-BASED REASONING SYSTEM FOR PREDIC OF THE STRUCTURAL NUMBER OF ASPHALT PAVEMENT HASSAN HASSANIN, BADRELDIN A. MOUSA, ESSAM A. SHARAF, A.  ... 
doi:10.21608/eijest.2004.96612 fatcat:btbw5tvve5fzzmhwibvrxe7ray

Hybrid Reasoning Framework for CARA Pervasive Healthcare [chapter]

Bingchuan Yuan, John Herbert
2013 Lecture Notes in Computer Science  
We study how the incorporation of rule-based and case-based reasoning enables CARA to become more robust and to adapt to a changing environment by continuously retraining with new cases.  ...  The work in this paper introduces a personalized, flexible and extensible hybrid reasoning framework for CARA system in a smart home environment which provides context-aware sensor data fusion as well  ...  ) and P k (Feature k of Past Case) and the dynamic weight of the feature W k .  ... 
doi:10.1007/978-3-642-39470-6_16 fatcat:voati4hgozbo3eylpeizdvy5q4

Mining High-Quality Cases for Hypertext Prediction and Prefetching [chapter]

Qiang Yang, Ian Tian-Yi Li, Henry Haining Zhang
2001 Lecture Notes in Computer Science  
A novelty of the work is that data mining and case-based reasoning are combined in a seamless manner, allowing cases to be mined efficiently.  ...  Case-based reasoning aims to use past experience to solve new problems.  ...  The integrated case base reasoning system introduces more flexibility and higher quality for CBR application.  ... 
doi:10.1007/3-540-44593-5_53 fatcat:i44i57y2zjg2fhr5cgm36x6uga

The Efficient Distance Weighted Case Base Rule (DW-CBR) for Early Childhood Diseases Diagnosis

Indah Werdiningsih, Rimuljo Hendradi, P. Purbandini, Barry Nuqoba, Elly Anna
2021 International Scientific Journal of Computing  
Reasoning techniques using the correct case of results have provided enormous support for predicting the diagnosis and treatment of diseases.  ...  Moreover, this study proposes a new case-based reasoning approach using an alternative similarity measure, called Distance-Weighted Case Base Reasoning (DW-CBR).  ...  REASONING TECHNIQUES IN EXPERT SYSTEM Inference, reasoning, and learning abilities are the main features of an expert system.  ... 
doi:10.47839/ijc.20.2.2174 fatcat:7nsnjnjymbgytmzwjuzt2zchni

The Explanatory Power of Symbolic Similarity in Case-Based Reasoning

Enric Plaza, Eva Armengol, Santiago Ontañón
2005 Artificial Intelligence Review  
In this paper we discuss how explanations can be used in case-based reasoning (CBR) in order to justify the results in classification tasks and also for solving new problems.  ...  We particularly focus on explanations derived from building a symbolic description of the similar aspects among cases.  ...  Acknowledgments This work has been partially supported by project SAMAP (TIC2002-04146-C05-01) and grant CIRIT FI/FAP 2001.  ... 
doi:10.1007/s10462-005-4608-6 fatcat:t42xnpxozzfy5kd5j5i2c6oegu

Predicting with Confidence: A Case-Based Reasoning Framework for Predicting Survival in Breast Cancer

Isabelle Bichindaritz, Christopher Bartlett, Guanghui Liu
2021 Proceedings of the ... International Florida Artificial Intelligence Research Society Conference  
With this methodology, retrieved and adapted survival cases lend an insight into which cases a prediction is based on.  ...  This paper presents a transparent case-based survival analysis framework that automatically retrieves an optimal number of solved survival cases and adapts them to predict the survival of a new case.  ...  Taking advantage of the known explainability of IBL systems, this paper presents Case Based Reasoning with Confidence, or CBR-CONF.  ... 
doi:10.32473/flairs.v34i1.128570 fatcat:uh2jdd66jjbnldwknmet7vflxe

Confident Surgical Decision Making in Temporal Lobe Epilepsy by Heterogeneous Classifier Ensembles

Shobeir Fakhraei, Hamid Soltanian-Zadeh, Kourosh Jafari-Khouzani, Kost Elisevich, Farshad Fotouhi
2011 2011 IEEE 11th International Conference on Data Mining Workshops  
In this paper, a confident-prediction rate (CPR) which measures the upper limit of confident predictions has been proposed based on receiver operating characteristic (ROC) curves.  ...  In medical domains with low tolerance for invalid predictions, classification confidence is highly important and traditional performance measures such as overall accuracy cannot provide adequate insight  ...  Romina Shirka and Dr. Toya Malone for assisting with the EEG data collection and Dr. Kenneth Podell for providing access to neuropsychological profiles of the patients.  ... 
doi:10.1109/icdmw.2011.53 pmid:26609547 pmcid:PMC4655974 dblp:conf/icdm/FakhraeiSJEF11 fatcat:27yt3ttvnzfcratkzbuiby2jom

Context-aware hybrid reasoning framework for pervasive healthcare

Bingchuan Yuan, John Herbert
2013 Personal and Ubiquitous Computing  
Noteworthy about the work is the use of Case Based Reasoning(CBR) to detect conditional anomalies for home automation, and the use of hierarchical Fuzzy Rule Based Reasoning(FRBR) to deal with exceptions  ...  We study how the incorporation of rule-based and case-based reasoning enables CARA to become more robust and to adapt to a changing environment by continuously retraining with new cases.  ...  ) and P k (Feature k of Past Case) and the dynamic weight of the feature W k .  ... 
doi:10.1007/s00779-013-0696-5 fatcat:fr6c76hpdbeilmzpyscjxziaqy

Augmenting the novice-expert overlay model in an intelligent tutoring system: Using confidence-weighted linear classifiers

Tenzin Doleck, Ram B. Basnet, Eric Poitras, Susanne Lajoie
2014 2014 IEEE International Conference on Computational Intelligence and Computing Research  
Whilst the importance of modeling and predicting clinical reasoning is recognized, an important aspect of the learner contribution remains unexplored -the written case summary prepared by the learner.  ...  The premise of investigating the case summaries is that it captures the thought and process of the learners in solving the cases; since, the case summaries hold important reasoning information, it makes  ...  The GreedyStepwise forward search technique was employed through the space of attribute subsets to search for the most discriminative feature set and rank them based on their individual predictive ability  ... 
doi:10.1109/iccic.2014.7238298 fatcat:pomywqpglrhvrckmlpwenh2ruq

A Study on Multimodal and Interactive Explanations for Visual Question Answering [article]

Kamran Alipour, Jurgen P. Schulze, Yi Yao, Avi Ziskind, Giedrius Burachas
2020 arXiv   pre-print
We use between-subjects and within-subjects experiments to probe explanation effectiveness in terms of improving user prediction accuracy, confidence, and reliance, among other factors.  ...  of AI systems are still missing.  ...  The views, opinions and/or findings expressed are those of the author and should not be interpreted as representing the official views or policies of the Department of Defense or the U.S. Government.  ... 
arXiv:2003.00431v1 fatcat:ycjgoi65mbdwpgfkthozrhjt6e

Gaining insight through case-based explanation

Conor Nugent, Dónal Doyle, Pádraig Cunningham
2008 Journal of Intelligent Information Systems  
In this paper we present such a knowledge-light framework for Case-Based Explanation.  ...  Because CBR is an interpretable process, it is a reasoning mechanism that supports explanation. This can be done explicitly by the system designers incorporating explanation patterns in cases.  ...  In this case the confidence measure is 87% which means we can still be reasonably confident of our prediction.  ... 
doi:10.1007/s10844-008-0069-0 fatcat:fwz4j3fbtbd5la24r3bjlrckoy

Weighted Minkowski Similarity Method with CBR for Diagnosing Cardiovascular Disease

Edi Faizal, Hamdani Hamdani
2018 International Journal of Advanced Computer Science and Applications  
This study implements Case-Based Reasoning (CBR) to make the early diagnosis of cardiovascular disease based on the calculation of the feature similarity of old cases.  ...  The diagnostic process was carried out by entering the case feature into the system, and then the system searched cases having similar features with the new case (retrieve).  ...  Thank you for Dr Sardjito Public Hospital in Yogyakarta and Dr Irsad Andi Arso, M.Sc., Sp.PD., Sp.JP (K), who has been willing to be the resource for this research.  ... 
doi:10.14569/ijacsa.2018.091244 fatcat:l23twqp4ivd35gbxon6mohywju

Maintaining Retrieval Knowledge in a Case-Based Reasoning System

Susan Craw, Jacek Jarmulak, Ray Rowe
2001 Computational intelligence  
The knowledge stored in a case-base is central to the problem-solving of a Case-Based Reasoning (CBR) system. Therefore, case-base maintenance is a key component of maintaining a CBR system.  ...  This paper focuses on the optimisation of the parameters and feature selections/weights for the indexing and nearest-neighbour algorithms used by CBR retrieval.  ...  We thank ISoft for its contribution of the ReCall software.  ... 
doi:10.1111/0824-7935.00149 fatcat:n5vv5xm4ovecbaivsr4weikjgm

Impact of Ensemble Member Size on Confidence-based Selection in Bankruptcy Prediction
부도예측을 위한 확신 기반의 선택 접근법에서 앙상블 멤버 사이즈의 영향에 관한 연구

Na-Ra Kim, Kyung-Shik Shin, Hyunchul Ahn
2013 Journal of Intelligence and Information Systems  
․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․ The prediction model is the main factor affecting the performance of a knowledge-based system for bankruptcy prediction  ...  This paper proposes a confidence-based selection approach as part of an ensemble bankruptcy-prediction scheme that can measure unified confidence, even if ensemble members produce different types of continuous-valued  ...  Sun and Li (2008) built multivariate discriminant analysis (MDA), LR, ANN, DT, support vector machine (SVM), and case-based reasoning (CBR) using stepwise discriminant analysis as a features selection  ... 
doi:10.13088/jiis.2013.19.2.055 fatcat:lczf2tkp6naehj4eon3rrfsciq

On Deriving Adaptation Rule Confidence from the Rule Generation Process [chapter]

Vahid Jalali, David Leake
2013 Lecture Notes in Computer Science  
Previous case-based reasoning research makes a compelling case for the importance of CBR systems determining the system's confidence in its conclusions, and has developed useful analyses of how characteristics  ...  of comparing pairs of cases in a case base, and a method for confidence-influenced selection of cases to adapt.  ...  [9] propose using an auxiliary case based reasoning system to predict solution correctness and confidence.  ... 
doi:10.1007/978-3-642-39056-2_13 fatcat:fw73qz2uybgajaaejfdbvbxpxu
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