2 citations · 2 across the 8 of their papers we have counts for
8 papers
Recent progress in thermoelectric MXene-based structures versus other 2D materials
Subrahmanyam Bandaru, Agnieszka M. Jastrzębska, Magdalena Birowska
Thermoelectricity is a next-generation solution for efficient waste heat management. Although various thermoelectric materials exist, there is still a lot of scope for advancement,…
COSTI: a New Classifier for Sequences of Temporal Intervals
Jakub Michał Bilski, Agnieszka Jastrzębska
Classification of sequences of temporal intervals is a part of time series analysis which concerns series of events. We propose a new method of transforming the problem to a task o…
Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task
Jakub Michał Bilski, Agnieszka Jastrzębska
Time series classification is one of the very popular machine learning tasks. In this paper, we explore the application of Hidden Markov Model (HMM) for time series classification.…
Measuring Wind Turbine Health Using Drifting Concepts
Agnieszka Jastrzebska, Alejandro Morales-Hernández, Gonzalo Nápoles +2
Time series processing is an essential aspect of wind turbine health monitoring. Despite the progress in this field, there is still room for new methods to improve modeling quality…
Forward Composition Propagation for Explainable Neural Reasoning
Isel Grau, Gonzalo Nápoles, Marilyn Bello +2
This paper proposes an algorithm called Forward Composition Propagation (FCP) to explain the predictions of feed-forward neural networks operating on structured classification prob…
Prolog-based agnostic explanation module for structured pattern classification
Gonzalo Nápoles, Fabian Hoitsma, Andreas Knoben +2
This paper presents a Prolog-based reasoning module to generate counterfactual explanations given the predictions computed by a black-box classifier. The proposed symbolic reasonin…
Online learning of windmill time series using Long Short-term Cognitive Networks
Alejandro Morales-Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska +2
Forecasting windmill time series is often the basis of other processes such as anomaly detection, health monitoring, or maintenance scheduling. The amount of data generated on wind…
Long Short-term Cognitive Networks
Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska +1
In this paper, we present a recurrent neural system named Long Short-term Cognitive Networks (LSTCNs) as a generalization of the Short-term Cognitive Network (STCN) model. Such a g…