5 Result(s)
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Article
Transfer learning-based quantized deep learning models for nail melanoma classification
Skin cancer, particularly melanoma, has remained a severe issue for many years due to its increasing incidences. The rising mortality rate associated with melanoma demands immediate attention at early stages t...
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Chapter and Conference Paper
FD-VAE: A Feature Driven VAE Architecture for Flexible Synthetic Data Generation
Variational autoencoders (VAEs) are artificial neural networks used to learn effective data encodings in an unsupervised manner. Each input x provided to a VAE is indeed mapped to an internal representation, say
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Chapter and Conference Paper
A Framework for the Multi-modal Analysis of Novel Behavior in Business Processes
Novelty detection refers to the task of finding observations that are new or unusual when compared to the ‘known’ behavior. Its practical and challenging nature has been proven in many application domains whil...
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Chapter and Conference Paper
Outlier Detection Techniques for Process Mining Applications
Classical outlier detection approaches may hardly fit process mining applications, since in these settings anomalies emerge not only as deviations from the sequence of events most often registered in the log, ...
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Chapter and Conference Paper
Process Mining Based on Clustering: A Quest for Precision
Process mining techniques attempt to extract non-trivial and useful information from event logs recorded by information systems. For example, there are many process mining techniques to automatically discover ...
