Results 161 to 170 of about 4,087 (203)

Single-subject auditory ERP-BCI performance enhancement in ALS via an AI coding assistant prompt. [PDF]

Front Hum Neurosci
Ogino M.
europepmc   +1 more source

Enhancing the detection of LTP through lyophilized protein samples and NIR spectroscopy with explainable deep learning. [PDF]

Sci Rep
Osa-Sanchez A, Del Barrio I, Bernardo-Seisdedos G, Pozo S, Garcia-Zapirain B.   +4 more
europepmc   +1 more source

Optimising hyperparameters with a tree structured Parzen estimator to improve diabetes prediction. [PDF]

Sci Rep
Munshi RM, Munshi LR, Himdi H, Qashlan A, Munshi R, Alyahyawy OY, Khayyat MM.   +6 more
europepmc   +1 more source

Physics-Aware Ensemble Learning for Superior Crop Recommendation in Smart Agriculture. [PDF]

Sensors (Basel)
Gunasekaran H, Ramalakshmi K, Debnath S, Swaminathan DK.   +3 more
europepmc   +1 more source

Optimized ANN-RF hybrid model with optuna for fault detection and classification in power transmission systems. [PDF]

Sci Rep
Uzel H, Özüpak Y, Alpsalaz F, Aslan E.
europepmc   +1 more source

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Automating hyperparameter optimization in geophysics with Optuna: A comparative study

Geophysical Prospecting
AbstractDeep learning has gained attraction amongst geophysicists for solving complex longstanding problems. Nevertheless, proper hyperparameter optimization methodologies remain critically underexplored in geophysical deep learning research. This paper attempts to first highlight the importance of hyperparameter optimization and then showcase two ...
Umair bin Waheed, Hussain Almarzooq
exaly   +2 more sources

Optuna-XGBoost porosity prediction for logging profiles of carbonate formations

2024 5th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)
Chongchong Yu
exaly   +3 more sources

Predicting scour depth in the presence of aprons using XGBoost-Optuna

Applied Soft Computing Journal
Mohammad Vaghefi, Chonoor Abdi, Masoud Ghodsian   +2 more
exaly   +2 more sources

OLGBM: Optuna Optimized Light Gradient Boosting Machine for Intrusion Detection

2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), 2021
Network technology has been evolved exponentially in the past few decades. At the same time, gazillions of network intrusion incidents are continuously forming cyberspace a shocking vulnerable domain to explore for the personnel from armature to the professionals. Consequently, networks mostly become botnet when there are no Intrusion Detection Systems
Arifin, Md Mashrur, Based, Md Abdul, Mumenin, Khondoker Mirazul, Imran, Ali, Azim, Mohammad Abdul, Alom, Zulfikar, Abdul Awal, Md   +6 more
openaire   +3 more sources

Optuna and AutoML

2020
We can now create an efficient model using the techniques that were discussed in the previous chapters. Bayesian optimization goes a long way in finding hyperparameters. This chapter provides an overview of the Optuna framework and discusses further the role of hyperparameter optimization in automated machine learning.
openaire   +1 more source