Nov 21, 2024 · The framework consists of five pillars which act as a road map to propose well-defined models. We furthermore discuss our initial experiences ...
In this paper we propose a preliminary Framework for Value Prediction whose intention is to study and to effectively predict the development effort as well as ...
In this paper we propose a preliminary Framework for Value Pre- diction whose intention is to study and to effectively predict the devel- opment effort as well ...
Knowledge-based applications are characterized by their use of machine-understandable formalizations of expert knowledge. Complex knowledge structures ...
Knowledge-based applications are characterized by their use of machine-understandable formalizations of expert knowledge. Complex knowledge structures ...
To tackle this emerging challenge, our work focuses on devising a preliminary predictive Framework for Value Prediction customized for knowledge-based ...
A general framework and guidelines for benchmarking computational intelligence algorithms applied to forecasting problems derived from an application domain- ...
Aug 17, 2024 · We developed the FedKBP framework to evaluate the performances of centralized, federated, and individual (i.e. separated) training of dose ...
This selection may be traditional for some applications and knowledge-based for others. Summary and Conclusions. This paper has looked at two major systems ...
A new domain-independent knowledge-based inference structure is presented, specific to the task of abstracting higher-level concepts from time-stamped data.
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