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05/16/2023
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps
In this paper, we integrate the concepts of feature importance with impl...
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10/26/2022
Which is the best model for my data?
In this paper, we tackle the problem of selecting the optimal model for ...
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09/09/2022
Multi-objective hyperparameter optimization with performance uncertainty
The performance of any Machine Learning (ML) algorithm is impacted by th...
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12/23/2021
Forward Composition Propagation for Explainable Neural Reasoning
This paper proposes an algorithm called Forward Composition Propagation ...
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12/23/2021
Prolog-based agnostic explanation module for structured pattern classification
This paper presents a Prolog-based reasoning module to generate counterf...
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12/09/2021
Measuring Wind Turbine Health Using Drifting Concepts
Time series processing is an essential aspect of wind turbine health mon...
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11/24/2021
FCMpy: A Python Module for Constructing and Analyzing Fuzzy Cognitive Maps
FCMpy is an open source package in Python for building and analyzing Fuz...
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08/20/2021
A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets
The need to measure bias encoded in tabular data that are used to solve ...
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07/07/2021
Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification
Machine learning solutions for pattern classification problems are nowad...
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07/01/2021
Online learning of windmill time series using Long Short-term Cognitive Networks
Forecasting windmill time series is often the basis of other processes s...
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06/30/2021
Long Short-term Cognitive Networks
In this paper, we present a recurrent neural system named Long Short-ter...
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09/16/2018
