Suchergebnisse - "Model and hyperparameter optimization"

Fraudulent account detection in social media using hybrid deep transformer model and hyperparameter optimization von Shukla, Prashant Kumar, Veerasamy, Bala Dhandayuthapani, Alduaiji, Noha, Addula, Santosh Reddy, Pandey, Ankur, Shukla, Piyush Kumar

“… The high rate of social media development has triggered a high rate of fake accounts, which are a great risk to the privacy of users and the integrity of the …”
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Multi-label text classification on unbalanced Twitter with monolingual model and hyperparameter optimization for hate speech and abusive language detection von Alzahrani, Ahmad A., Bramantoro, Arif, Permana, Asep

“… The increase in hate speech and abusive language on social media leads to uncomfortable interactions among users. Many datasets available publicly that address …”
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Optimization of artificial neural network structure and hyperparameters in hybrid model by genetic algorithm: iOS–android application for breast cancer diagnosis/prediction von Bülbül, Mehmet Akif

“… Breast cancer is a common disease that can result in death among women. Cancer research is important because early detection of cancer facilitates clinical …”
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Enhancing hydroelectric inflow prediction in the Brazilian power system: A comparative analysis of machine learning models and hyperparameter optimization for decision support von da Silva, Evandro Cardozo, Finardi, Erlon Cristian, Stefenon, Stefano Frizzo

“… Electricity generation in Brazil heavily depends on hydroelectric power, making it vulnerable to fluctuations due to its reliance on weather patterns …”
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Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization von Ashiq, Waqar, Kanwal, Samra, Rafique, Adnan, Waqas, Muhammad, Khurshaid, Tahir, Montero, Elizabeth Caro, Alonso, Alicia Bustamante, Ashraf, Imran

“… With the rapid increase of users over social media, cyberbullying, and hate speech problems have arisen over the past years. Automatic hate speech detection …”
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Phishing website detection: How effective are deep learning‐based models and hyperparameter optimization? von Almousa, May, Zhang, Tianyang, Sarrafzadeh, Abdolhossein, Anwar, Mohd

“… In this vein, this study pursues the tasks of developing parsimonious deep learning models and hyperparameter optimization to achieve high accuracy and reproducible results for phishing website detection …”
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Tree-based models and hyperparameter optimization for assessing employee performance von Gustriansyah, Rendra, Puspasari, Shinta, Sanmorino, Ahmad, Suhandi, Nazori, Sartika, Dewi

“… The Palembang city fire and rescue service (FRS) is encountering challenges in adhering to national standards for fire response time. Hence, the Palembang city …”
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Soil organic carbon measurements influence FT‐NIR model training in calcareous soils of Saskatchewan von Adejumo, Gbenga, Bulmer, David, Sorenson, Preston, Peak, Derek

“… Models were built using a 70:30 train test split validation approach. Spectral feature selection, wavelet scale, and model and hyperparameter optimization were conducted using fivefold cross …”
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Improved hyperparameter Bayesian optimization-bidirectional long short-term memory optimization for high-precision battery state of charge estimation von Wang, Shunli, Ma, Chao, Gao, Haiying, Deng, Dan, Fernandez, Carlos, Blaabjerg, Frede

“… ) estimation requirements. This paper explores the construction of a battery dynamic model and hyperparameter optimization method based on a neural network …”
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An Efficient PCA-GA-HKSVM-Based Disease Diagnostic Assistant von Jerop, Brenda, Segera, Davies Rene

“… ), a hybrid kernel-based support vector machine (HKSVM) classification model and hyperparameter optimization using genetic algorithm (GA …”
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A Novel Hybrid Ensemble Wind Speed Forecasting Model Employing Wavelet Transform and Deep Learning von V, Vishnu Namboodiri, Goyal, Rahul

“… The present study proposes a novel hybrid ensemble wind speed forecasting model based on signal decomposition, deep learning model, and hyperparameter optimization for short …”
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A Systematic Investigation of Image Pre-Processing on Image Classification von Dehbozorgi, Pegah, Ryabchykov, Oleg, Bocklitz, Thomas

“… classification model performance, rather than model and hyperparameter optimization. We deliberately selected a limited yet comprehensive subset of methods …”
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A Temporal Convolutional Network–Bidirectional Long Short-Term Memory (TCN-BiLSTM) Prediction Model for Temporal Faults in Industrial Equipment von Bai, Jinyin, Zhu, Wei, Liu, Shuhong, Ye, Chenhao, Zheng, Peng, Wang, Xiangchen

“… First, preprocessed industrial operation data are fed into the model, and hyperparameter optimization is conducted using the Optuna framework to improve training …”
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Support Vector Machine Classification Algorithm for Detecting DDoS Attacks on Network Traffic von Irawan, Yoki, Pramitasari, Rina, Ashari, Wahid Miftahul, Yansyah, Aiko Nur Hendry

“… Distributed Denial of Service (DDoS) attacks represent a significant danger in network security because they can lead to extensive service interruptions. With …”
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Classification of Depression, Anxiety and Stress from Handwriting and Drawing with Stacking Models von Bayrak, Semra, Golgiyaz, Sedat, Aykut, Murat

“… Recently, emotion analysis from online handwriting and drawings has become an important research topic. This study aims to determine the optimal model …”
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Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences von Rives, Alexander, Meier, Joshua, Sercu, Tom, Goyal, Siddharth, Lin, Zeming, Liu, Jason, Guo, Demi, Ott, Myle, Zitnick, C Lawrence, Ma, Jerry, Fergus, Rob

“… Abstract In the field of artificial intelligence, a combination of scale in data and model capacity enabled by un-supervised learning has led to major advances …”
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Among Artificial Intelligence/Machine Learning Methods, Automated Gradient‐Boosting Models Accurately Score Intraoral Plaque in Non‐Standardized Images von Coy, Eric, Santo, William, Jue, Bonnie, Betts, Helen, Ramos-Gomez, Francisco, Gansky, Stuart A.

“… ), and hyperparameter optimization. Area-under-the-curve receiver operating characteristic (AUC-ROC) curve and R determined the best …”
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A crowd-AI dynamic neural network hyperparameter optimization approach for image-driven social sensing applications von Zhang, Yang, Zong, Ruohan, Shang, Lanyu, Wang, Dong

“… Image-driven social sensing (ISS) is emerging as a pervasive sensing paradigm that collects the status of the physical world by leveraging image data from …”
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Hybrid quantum ResNet for car classification and its hyperparameter optimization von Sagingalieva, Asel, Kordzanganeh, Mo, Kurkin, Andrii, Melnikov, Artem, Kuhmistrov, Daniil, Perelshtein, Michael, Melnikov, Alexey, Skolik, Andrea, Dollen, David Von

“… Moreover, adjustment of model hyperparameters leads to additional overhead. Because of this, new developments in machine learning models and hyperparameter optimization techniques are required …”
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Efficient grid management: smart forecasting of short-term power load using PSO-LSTM von Badjan, Ansumana, Rashed, Ghamgeen Izat, Bahageel, Ahmed O M, Ali I Gony, Hashim, Shaheen, Husam I, Tuaimah, Firas Mohammed

“… Recent load forecasting techniques combining machine learning models and hyperparameter optimization algorithms have shown success for short-term load forecasting (STLF …”
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