Titlebook: Machine Learning and Principles and Practice of Knowledge Discovery in Databases; International Worksh Irena Koprinska,Paolo Mignone,Sepide

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Domain Adaptation with?Maximum Margin Criterion with?Application to?Network Traffic Classificationg-based network traffic classifier, it is necessary to use samples obtained from the desired network. Collecting enough training data, however, can be challenging in many cases. Domain adaptation allows samples from other networks to be utilized. In order to satisfy the aforementioned assumption, do

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Evaluation of?the?Limit of?Detection in?Network Dataset Quality Assessment with?PerQoDAetwork datasets that would enable effective detection. On the other hand, the preparation of a network dataset is not easy due to privacy reasons but also due to the lack of tools for assessing their quality. In a previous paper, we proposed a new method for data quality assessment based on permutat

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Towards a General Model for Intrusion Detection: An Exploratory Studyires the expertise of the researchers, practitioners, or employees of companies that also have to gather labeled data to learn and evaluate the model that will then be deployed into a specific system. Reducing the expertise and time required to craft intrusion detectors is a tough challenge, which i

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Conv-NILM-Net, a?Causal and?Multi-appliance Model for?Energy Source Separationral networks have become increasingly popular in attempting to solve NILM problems. However most used models are used for Load Identification rather than online Source Separation. Among source separation models, most use a single-task learning approach in which a neural network is trained exclusivel

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ting programs and models in terms of irreducible and independent tables. This idea departs from the mainstream of modeling & programming, which typically revolves around Application Program Interface (API) ecosystems for operational needs and external serialization for interchange needs. Instead, th

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ECG769

Syrielle Montariol,Matej Martinc,Andra? Pelicon,Senja Pollak,Boshko Koloski,Igor Lon?arski,Aljo?a Vafundamental analysis problem of comparing a candidate implementation against a specification both given as TA, it has been shown that timed trace equivalence is undecidable, whereas timed bisimulation is decidable. However, the limited expressiveness of TA is a serious obstacle in practice such that

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Argimiro Arratiaprocesses, and tools to develop software from scratch. In reality, however, greenfield scenarios are not the most common ones. It is important to realize that dynamic evolution of software became a much more common and relevant issue in recent times, and its importance keeps growing. Software refact

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