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06/08/2023
Explainable Predictive Maintenance
Explainable Artificial Intelligence (XAI) fills the role of a critical i...
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04/26/2023
Bayesian Federated Learning: A Survey
Federated learning (FL) demonstrates its advantages in integrating distr...
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03/10/2023
Modeling Events and Interactions through Temporal Processes – A Survey
In real-world scenario, many phenomena produce a collection of events th...
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11/24/2022
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Evaluating new techniques on realistic datasets plays a crucial role in ...
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07/12/2022
A Benchmark dataset for predictive maintenance
The paper describes the MetroPT data set, an outcome of a eXplainable Pr...
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05/30/2022
Contextualization for the Organization of Text Documents Streams
There has been a significant effort by the research community to address...
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05/16/2022
Federated Anomaly Detection over Distributed Data Streams
Sharing of telecommunication network data, for example, even at high agg...
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04/27/2022
Open challenges for Machine Learning based Early Decision-Making research
More and more applications require early decisions, i.e. taken as soon a...
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10/22/2021
Forecasting Financial Market Structure from Network Features using Machine Learning
We propose a model that forecasts market correlation structure from link...
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01/21/2021
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations
There have been several research works proposing new Explainable AI (XAI...
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04/13/2020
Learning under Concept Drift: A Review
Concept drift describes unforeseeable changes in the underlying distribu...
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09/25/2019
Mining Human Mobility Data to Discover Locations and Habits
Many aspects of life are associated with places of human mobility patter...
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07/09/2019
Contextual One-Class Classification in Data Streams
In machine learning, the one-class classification problem occurs when tr...
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04/30/2019
A scalable saliency-based Feature selection method with instance level information
Classic feature selection techniques remove those features that are eith...
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04/19/2019
Identifying Points of Interest and Similar Individuals from Raw GPS Data
Smartphones and portable devices have become ubiquitous and part of ever...
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12/09/2016
SimTensor: A synthetic tensor data generator
SimTensor is a multi-platform, open-source software for generating artif...
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06/13/2014
Eigenspace Method for Spatiotemporal Hotspot Detection
Hotspot detection aims at identifying subgroups in the observations that...
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06/13/2014
EigenEvent: An Algorithm for Event Detection from Complex Data Streams in Syndromic Surveillance
Syndromic surveillance systems continuously monitor multiple pre-diagnos...
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06/12/2014
Event and Anomaly Detection Using Tucker3 Decomposition
Failure detection in telecommunication networks is a vital task. So far,...
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06/12/2014