Results 151 to 160 of about 1,984 (174)

OPTUNA optimization for predicting chemical respiratory toxicity using ML models

Journal of Computer-Aided Molecular Design
Predicting molecular toxicity is an important stage in the process of drug discovery. It is directly related to medical destiny and human health. This paper presents an enhanced model for chemical respiratory toxicity prediction. It used a combination of molecular descriptors and term frequency - inverse document frequency (TF-IDF) based models with ...
Eman Shehab, Hamada Nayel, Mohamed Taha
openaire   +2 more sources

Hyperparameter Optimization of CNN Models for Plant Leaf Disease Classification Using Optuna

2025 International Conference on Microwave, Optical, and Communication Engineering (ICMOCE)
Shantilata Palei, Puspanjali Mohapatra
exaly   +2 more sources

Optimization of Biomedical Language Model with Optuna and a Sentencepiece Tokenization for NER

2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022
Chérubin Mugisha, Incheon Paik
openaire   +1 more source

Diabetes Classification Problem with CatBoost Method and Optuna Gradient Boosting Optimization

2023 6th International Conference on Information and Communications Technology (ICOIACT), 2023
Safar Dwi Kurniawan, Purwono Purwono, Alfian Ma’Arif, Iswanto Suwarno   +3 more
openaire   +1 more source

Optimizing Network-Level Forensics with Optuna-Generated CNN Model

TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON)
Wilson Wee Shyan Lim, Jason Yeo Joon Kiat, Ng Zheng Hao Buddy, Karen Goh Sian Mei, Ang Peng Chuan Alvin, Purnima Murali Mohan   +5 more
openaire   +1 more source

OPTIMIZING AN ADAPTIVE NUMERICAL INTEGRATOR USING OPTUNA

Anais do Encontro Nacional de Modelagem Computacional e Encontro de Ciência e Tecnologia de Materiais
Daniel Augusto de Sousa Mendes, Rafael Pereira Bianchin, Ângelo de Carvalho Paulino, Angelo Passaro   +3 more
openaire   +1 more source

Optimized Website Traffic Forecasting with Automatic Models and Optuna

IIAI Letters on Informatics and Interdisciplinary Research
Ahadi Ningrum, Ayu, Rifqi Mulyawan
openaire   +1 more source

Tree-Based Machine Learning Models with Optuna in Predicting Impedance Values for Circuit Analysis

Micromachines, 2023
Ping-Feng Pai, Lai Jung-Pin, Ying-Lei Lin   +2 more
exaly  

A fuzzy numerical framework for inverse problems with $$\gamma $$-parameter optimization via optuna

Computational and Applied Mathematics
Vitória Yumi Uetuki Nicoleti, Vinícius Francisco Wasques, Eduardo Xavier Silva Miqueles   +2 more
openaire   +1 more source

Classification of Infected Salmon Using CNN Deep Features and Optuna-Optimized SVM

Fish diseases are a major challenge in the aquaculture industry, impacting productivity and the economy, particularly in salmon farming. This study aims to develop an image classification system for infected salmon using Convolution Neural Network (CNN) deep features approach and Support Vector Machine (SVM) classifier optimized with Optuna.
Pradita, Agus Hendra, Ayu, Putu Desiana Wulaning, Hostiadi, Dandy Pramana   +2 more
openaire   +1 more source