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Recent advances in meta-learning provides interesting opportunities for CBR research, in similarity learning, case comparison and personalised recommendations. Rather than learning a single model for a specific task, meta-learners adopt a ...

The similarity assessment of graphs is a fundamental problem that is particularly challenging if efficiency is of core importance. In this paper, we focus on a similarity measure for semantically labeled graphs whose labels are composed in an ...

Our objective is to develop an approach based on case-based reasoning that detects and handles unforeseen deviations that occur in flexible workflow execution. With a case-based approach we aim at supporting the continuation of a deviant workflow ...

Stroke is a medical condition where poor blood flow to the brain may result in cell damage, possibly leading to patient’s death or disability. Acute stroke care is best performed in dedicated and well-organized centers. Medical process trace ...

Training for the marathon, especially a first marathon, is always a challenge. Many runners struggle to find the right balance between their workouts and their recovery, often leading to sub-optimal performance on race-day or even injury during ...

In the current era of medicine where clinicians and researchers alike are seeking to personalize treatment plans to individuals, the integration of clinical data with microarray data is surprisingly absent. With this in mind, clinical covariate ...

Image segmentation is an abundant topic for computer vision and image processing. Most of the time, segmentation is not fully automated, and a user is required to guide the process in order to obtain correct results. Yet, even with programs, it is ...

Speed skating is a form of ice skating in which the skaters race each other over a variety of standardised distances. Races take place on specialised ice-rinks and the type of track and ice conditions can have a significant impact on race-times. ...

CBR applications have been deployed in a wide range of sectors, from pharmaceuticals; to defence and aerospace to IoT and transportation, to poetry and music generation; for example. However, a majority of these have been built using monolithic ...

In this paper, we present a novel extension of CBR that allows cases to be more proactive at problem solving, by enriching case representations and facilitating richer interconnectedness between cases. We empirically study the improvements ...

Recently, a groundswell of research has identified the use of counterfactual explanations as a potentially significant solution to the Explainable AI (XAI) problem. It is argued that (i) technically, these counterfactual cases can be generated by ...

Research on eXplainable AI has proposed several model agnostic algorithms, being LIME [14] (Local Interpretable Model-Agnostic Explanations) one of the most popular. LIME works by modifying the query input locally, so instead of trying to explain ...

Recommender systems are useful to find relevant products for a certain user. Some recommender techniques based on models, for example, Matrix Factorization, act as a black box for users. Explanations for recommender systems are useful to make ...

This paper presents a system for case-based retrieval of architectural designs in the form of graph-based room configurations by means of applying a case preselection process using a convolutional neural network and the subsequent graph and ...

Similarity-based retrieval of semantic graphs is widely used in real-world scenarios, e. g., in the domain of business workflows. To tackle the problem of complex and time-consuming graph similarity computations during retrieval, the MAC/FAC ...

Case-based classification is normally based on similarity between a query and class members in the case base. This paper proposes a difference-based approach, class-to-class siamese network (C2C-SN) classification, in which classification is based ...

The creation of believable characters is one of the most challenging problems in the interactive entertainment industry. Although there are different tools available for designers and programmers to define the behavior of non-player characters, it ...

Automated generation of human readable text from structured information is challenging because grammatical rules are complex making good quality outputs difficult to achieve. Textual Case-Based Reasoning provides one approach in which the text ...

Current multiagent systems require human operators to communicate in real-time with one another. A better option would be to have a single human operator control a swarm of agents using a natural interface, such as something worn by the operator. ...

A common idea in the field of case-based reasoning is that the retrieval step can be specified by the use of some similarity measure: the retrieved cases maximize the similarity to the target problem and, then, the adaptation step has to take into ...