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pro vyhledávání: '"Lama, Manuel"'
This paper presents novel prompting techniques to improve the performance of automatic summarization systems for scientific articles. Scientific article summarization is highly challenging due to the length and complexity of these documents. We conce
Externí odkaz:
http://arxiv.org/abs/2312.08282
In this paper we present the Process-To-Text (P2T) framework for the automatic generation of textual descriptive explanations of processes. P2T integrates three AI paradigms: process mining for extracting temporal and structural information from a pr
Externí odkaz:
http://arxiv.org/abs/2305.14044
In this paper, we propose a series of fuzzy temporal protoforms in the framework of the automatic generation of quantitative and qualitative natural language descriptions of processes. The model includes temporal and causal information from processes
Externí odkaz:
http://arxiv.org/abs/2305.09506
Predictive monitoring is a subfield of process mining that aims to predict how a running case will unfold in the future. One of its main challenges is forecasting the sequence of activities that will occur from a given point in time -- suffix predict
Externí odkaz:
http://arxiv.org/abs/2211.16106
Changes, planned or unexpected, are common during the execution of real-life processes. Detecting these changes is a must for optimizing the performance of organizations running such processes. Most of the algorithms present in the state-of-the-art f
Externí odkaz:
http://arxiv.org/abs/2207.11007
Predictive monitoring of business processes is a subfield of process mining that aims to predict, among other things, the characteristics of the next event or the sequence of next events. Although multiple approaches based on deep learning have been
Externí odkaz:
http://arxiv.org/abs/2112.09641
Publikováno v:
In Expert Systems With Applications 1 May 2024 241
Predictive monitoring of business processes is concerned with the prediction of ongoing cases on a business process. Lately, the popularity of deep learning techniques has propitiated an ever-growing set of approaches focused on predictive monitoring
Externí odkaz:
http://arxiv.org/abs/2009.13251
Real life business processes change over time, in both planned and unexpected ways. The detection of these changes is crucial for organizations to ensure that the expected and the real behavior are as similar as possible. These changes over time are
Externí odkaz:
http://arxiv.org/abs/1907.04276
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