Papers matching “tree-based machine learning” 28
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Tree-based machine learning performed in-memory with memristive analog CAM2021 Nature Communications article Engineering Advanced Memory and Neural Computing Open access cited by 5 patents
Giacomo Pedretti, Catherine E. Graves, Sergey Serebryakov, Ruibin Mao, Xia Sheng, Martin Foltín, +2 more
2citations -
A general tree-based machine learning accelerator with memristive analog CAM2022 IEEE International Symposium on Circuits and Systems proceedings conference-paper Engineering Advanced Memory and Neural Computing
Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves
4citations -
Tree-based learning on amperometric time series data demonstrates high accuracy for classification2024 International Journal of Data Science and Analytics article Computer Science Time Series Analysis and Forecasting Open access
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Mohaddeseh Amir-Aref, Xiulan He, Soodabeh Majdi, +2 more
2citations -
Tree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification2023 arXiv (Cornell University) preprint Chemistry Electrochemical Analysis and Applications Open access
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Xiulan He, Soodabeh Majdi, Andreas Schuppert, +1 more
1citations -
A machine learning approach to mapping baryons on to dark matter haloes using the eagle and C-EAGLE simulations2021 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Christopher C. Lovell, Stephen M. Wilkins, Matthieu Schaller, C. M. Baugh, Giulio Fabbian, Yannick M Bahé
47citations -
Machine-Learning Based Approximation of the Hierarchical Model Predictive Control of Multi-Use PV-Battery Systems in Non-Residential Buildings1citations
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A multilevel machine learning algorithm to predict session-by-session outcome for patients receiving cognitive-behavioural therapy2025 Behaviour Research and Therapy article Psychology Psychotherapy Techniques and Applications Open access
Juan Martín Gómez Penedo, Alice E. Coyne, Manuel Meglio, Marjolein Fokkema, Rebekka Wassmann, Wolfgang Lutz, +1 more
2citations -
Patients With Femoral Neck Fractures Are at Risk for Conversion to Arthroplasty After Internal Fixation: A Machine‐learning Algorithm2022 Clinical Orthopaedics and Related Research article Medicine Hip and Femur Fractures Open access
Anouk van de Kuit, Jacobien H. F. Oosterhoff, Hidde Dijkstra, Sheila Sprague, Sofia Bzovsky, Mohit Bhandari, +6 more
12citations -
A Hardware-Aware Performance Analysis of Machine Learning Models for Sensor-Aided Millimeter-Wave Beam Prediction2026 International Conference on Communications conference-paper Engineering Millimeter-Wave Propagation and Modeling Open access
Barış Sayitoğlu, Arish Sateesan, Marina Petrova, Ljiljana Simić
0citations -
Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty2024 Clinical Orthopaedics and Related Research article Medicine Total Knee Arthroplasty Outcomes Open access
Jacobien H. F. Oosterhoff, Anne de Hond, Rinne M Peters, Liza N. van Steenbergen, Juliette Caroline Sorel, Wierd Pieter Zijlstra, +7 more
12citations -
A Functional Analysis Approach to Symbolic Regression2024 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Bas van Stein, Anna V. Kononova
5citations -
Large-Scale Modeling of Sparse Protein Kinase Activity Data2023 Journal of Chemical Information and Modeling article Computer Science Computational Drug Discovery Methods Open access
Sohvi Luukkonen, Erik Meijer, Giovanni A. Tricarico, Johan Hofmans, Pieter F. W. Stouten, Gerard J. P. van Westen, +1 more
14citations