Preventing Model Overfitting and Underfitting in Convolutional Neural Networks von Gavrilov, Andrei Dmitri, Jordache, Alex, Vasdani, Maya, Deng, Jack

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Dynamic range of fluorescence detection and base-calling accuracy in DNA sequencer based on single-photon counting von Gavrilov, Dmitri N., Gorbovitski, Boris, Gouzman, Mikhail, Gudkov, Georgiy, Stepoukhovitch, Andrei, Ruskovoloshin, Victor, Tsuprik, Andrei, Tyshko, Georgiy, Bilenko, Olga, Kosobokova, Olga, Luryi, Serge, Gorfinkel, Vera

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Sequence of bromination of (E)-4,4-dimethyl- 6-isobutylidenecyclohex-2-en-1-one von Gavrilova, Geta V., Krut’ko, Dmitri P., Grishin, Yuri K., Dorofeeva, Olga V., Churakov, Andrei V., Beloglazkina, Elena K.

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Κρατική Ορχήστρα Αθηνών : Πρόγραμμα συναυλιών Ιανουαρίου - Ιουνίου 1994

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Acknowledgment to Reviewers of Nanomaterials in 2020 von Nanomaterials Editorial Office

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Acknowledgment to Reviewers of Entropy in 2020 von Entropy Editorial Office

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Acknowledgment to Reviewers of JMSE in 2020 von JMSE Editorial Office

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Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application von Bacanin, Nebojsa, Zivkovic, Miodrag, Al-Turjman, Fadi, Venkatachalam, K., Trojovský, Pavel, Strumberger, Ivana, Bezdan, Timea

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Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index von Lv, Zhiqiang, Li, Jianbo, Dong, Chuanhao, Li, Haoran, Xu, Zhihao

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An AI approach to operationalise global daily PlanetScope satellite imagery for river water masking von Valman, Samuel J., Boyd, Doreen S., Carbonneau, Patrice E., Johnson, Matthew F., Dugdale, Stephen J.

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Realidades y ficciones de la Rusia postcomunista en El Concierto (2009), de Radu Mihaileanu von Barrenetxea Marañón, Igor

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Meteorological data source comparison—a case study in geospatial modeling of potential environmental exposure to abandoned uranium mine sites in the Navajo Nation von Girlamo, Christopher, Lin, Yan, Hoover, Joseph, Beene, Daniel, Woldeyohannes, Theodros, Liu, Zhuoming, Campen, Matthew J., MacKenzie, Debra, Lewis, Johnnye

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Analyzing chronic disease biomarkers using electrochemical sensors and artificial neural networks von Sinha, K., Uddin, Z., Kawsar, H.I., Islam, S., Deen, M.J., Howlader, M.M.R.

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Automatic classification of Candida species using Raman spectroscopy and machine learning von Fernández-Manteca, María Gabriela, Ocampo-Sosa, Alain A., Ruiz de Alegría-Puig, Carlos, Pía Roiz, María, Rodríguez-Grande, Jorge, Madrazo, Fidel, Calvo, Jorge, Rodríguez-Cobo, Luis, López-Higuera, José Miguel, Fariñas, María Carmen, Cobo, Adolfo

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Machine learning-based approach for ballistic coefficient estimation of resident space objects in LEO von Cimmino, N., Opromolla, R., Fasano, G.

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Enhanced copy-move forgery detection using deep convolutional neural network (DCNN) employing the ResNet-101 transfer learning model von Vaishali, Sharma, Neetu, Singh

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Unsupervised medical image feature learning by using de-melting reduction auto-encoder von Sun, Yu, Cong, Jinyu, Zhang, Kuixing, Jian, Muwei, Wei, Benzheng

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Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images von Zivkovic, Miodrag, Bacanin, Nebojsa, Antonijevic, Milos, Nikolic, Bosko, Kvascev, Goran, Marjanovic, Marina, Savanovic, Nikola

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An evolutionary framework for designing adaptive convolutional neural network von Mishra, Vidyanand, Kane, Lalit

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Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer metastases von Bakrania, Anita, Joshi, Narottam, Zhao, Xun, Zheng, Gang, Bhat, Mamatha

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