Predicting gene expression in the human malaria parasite Plasmodium falciparum using histone modification, nucleosome positioning, and 3D localization features. [PDF]
, 2019 Empirical evidence suggests that the malaria parasite Plasmodium falciparum employs a broad range of mechanisms to regulate gene transcription throughout the organism's complex life cycle.
Cook, Kate +4 more
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Promet (Zagreb), 2022 People and companies today are connected around the world, which has led to a growing importance of the aviation industry. As flight delays are a big challenge in aviation, machine learning algorithms can be used to forecast those.
Delia Schösser, Jörn Schönberger
doaj +1 more source
Machine learning models for predicting the risk factor of carotid plaque in cardiovascular disease
Frontiers in Cardiovascular Medicine, 2023 IntroductionCardiovascular disease (CVD) is a group of diseases involving the heart or blood vessels and represents a leading cause of death and disability worldwide.
Chengling Bin +8 more
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Routine characterization and interpretation of complex alkali feldspar intergrowths [PDF]
, 2015 Almost all alkali feldspar crystals contain a rich inventory of exsolution, twin, and domain microtextures that form subsequent to crystal growth and provide a record of the thermal history of the crystal and often of its involvement in replacement ...
Fitz Gerald, John D. +2 more
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Machine learning based ground motion site amplification prediction
Frontiers in Earth Science, 2023 Site condition impact on seismic ground motion has been a complex but important subject in earthquake hazard analysis. Traditional studies on site amplification effect are either based on site response via wave propagation simulation or regression ...
Xiangqi Wang +6 more
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On Network Science and Mutual Information for Explaining Deep Neural Networks
, 2020 In this paper, we present a new approach to interpret deep learning models. By coupling mutual information with network science, we explore how information flows through feedforward networks.
Bhardwaj, Kartikeya +4 more
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A traceability model for upper corner gas in fully mechanized mining faces based on XGBoost-SHAP
Gong-kuang zidonghuaTo address the weak interpretability caused by the "black-box" structure of current gas concentration prediction models in the upper corner of fully mechanized mining faces, a gas traceability model based on XGBoost-SHAP was proposed for the upper corner
SHENG Wu, WANG Lingzi
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Fairness by Explicability and Adversarial SHAP Learning [PDF]
, 2021 17 pages, 2 ...
James M. Hickey +2 more
openaire +2 more sources
Exploring commuter stress dynamics through machine learning and double optimization
Mehran University Research Journal of Engineering and TechnologyTravel dynamics significantly impact commuter stress, influenced by traffic behavior, road conditions, travel modes, distance, and socio-demographic characteristics.
Ashar Ahmed +2 more
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Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach
, 2021 We examine counterfactual explanations for explaining the decisions made by model-based AI systems. The counterfactual approach we consider defines an explanation as a set of the system's data inputs that causally drives the decision (i.e., changing the ...
Fernández-Loría, Carlos +2 more
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