Multiple Instance Learning through Explanation by Using a Histopathology Example by Andrei Konstantinov, Lev Utkin

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Random Survival Forests Incorporated by the Nadaraya-Watson Regression by Lev Utkin, Andrei Konstantinov

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Ensembles of Random SHAPs by Lev Utkin, Andrei Konstantinov

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AGBoost: Attention-based Modification of Gradient Boosting Machine by Andrei Konstantinov, Lev Utkin, Stanislav Kirpichenko

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Multiple Instance Learning with Trainable Soft Decision Tree Ensembles by Andrei Konstantinov, Lev Utkin, Vladimir Muliukha

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Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya–Watson Regression by Andrei Konstantinov, Stanislav Kirpichenko, Lev Utkin

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LARF: Two-Level Attention-Based Random Forests with a Mixture of Contamination Models by Andrei Konstantinov, Lev Utkin, Vladimir Muliukha

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Gradient Boosting Machine with Partially Randomized Decision Trees by Andrei Konstantinov, Lev Utkin, Vladimir Muliukha

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Improved Anomaly Detection by Using the Attention-Based Isolation Forest by Lev Utkin, Andrey Ageev, Andrei Konstantinov, Vladimir Muliukha

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BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect by Stanislav Kirpichenko, Lev Utkin, Andrei Konstantinov, Vladimir Muliukha

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Combining an Autoencoder and a Variational Autoencoder for Explaining the Machine Learning Model Predictions by Lev Utkin, Pavel Drobintsev, Maxim Kovalev, Andrei Konstantinov

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A Deep Forest Improvement by Using Weighted Schemes by Lev Utkin, Andrei Konstantinov, Anna Meldo, Mikhail Ryabinin, Viacheslav Chukanov

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AIzimov: the Platform for Intellectual Diagnostics of Lung Cancer by Alexey Lukashin, Alexander Ilyashenko, Lev Utkin, Vladimir Muliukha, Anna Meldo

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