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08/07/2023
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator
An explanation method called SurvBeX is proposed to interpret prediction...
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07/19/2023
A New Computationally Simple Approach for Implementing Neural Networks with Output Hard Constraints
A new computationally simple method of imposing hard convex constraints ...
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04/12/2023
Neural Attention Forests: Transformer-Based Forest Improvement
A new approach called NAF (the Neural Attention Forest) for solving regr...
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03/15/2023
Interpretable Ensembles of Hyper-Rectangles as Base Models
A new extremely simple ensemble-based model with the uniformly generated...
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02/13/2023
Multiple Instance Learning with Trainable Decision Tree Ensembles
A new random forest based model for solving the Multiple Instance Learni...
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11/19/2022
BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect
A method for estimating the conditional average treatment effect under c...
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10/11/2022
LARF: Two-level Attention-based Random Forests with a Mixture of Contamination Models
New models of the attention-based random forests called LARF (Leaf Atten...
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10/05/2022
Improved Anomaly Detection by Using the Attention-Based Isolation Forest
A new modification of Isolation Forest called Attention-Based Isolation ...
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07/19/2022
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression
A new method for estimating the conditional average treatment effect is ...
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07/09/2022
Attention and Self-Attention in Random Forests
New models of random forests jointly using the attention and self-attent...
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01/08/2022
Attention-based Random Forest and Contamination Model
A new approach called ABRF (the attention-based random forest) and its m...
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12/11/2021
Multi-Attention Multiple Instance Learning
A new multi-attention based method for solving the MIL problem (MAMIL), ...
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08/10/2021
Attention-like feature explanation for tabular data
A new method for local and global explanation of the machine learning bl...
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06/16/2021
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data
One of the most popular methods of the machine learning prediction expla...
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04/18/2021
SurvNAM: The machine learning survival model explanation
A new modification of the Neural Additive Model (NAM) called SurvNAM and...
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03/04/2021
Ensembles of Random SHAPs
Ensemble-based modifications of the well-known SHapley Additive exPlanat...
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10/14/2020
Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines
A method for the local and global interpretation of a black-box model on...
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10/12/2020
A Generalized Stacking for Implementing Ensembles of Gradient Boosting Machines
The gradient boosting machine is one of the powerful tools for solving r...
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06/19/2020
Gradient boosting machine with partially randomized decision trees
The gradient boosting machine is a powerful ensemble-based machine learn...
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01/04/2019
An Adaptive Weighted Deep Forest Classifier
A modification of the confidence screening mechanism based on adaptive w...
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01/01/2019