| Convolutional neural network for maize leaf disease image classification M Syarief, W Setiawan Telkomnika (Telecommunication Computing Electronics and Control) 18 (3 …, 2020 | 69 | 2020 |
| Sistem Pakar Diagnosis Penyakit Mata Menggunakan Naïvebayes Classifier W Setiawan, S Ratnasari Prosiding Semnastek 1 (1), 2014 | 53 | 2014 |
| Perbandingan arsitektur convolutional neural network untuk klasifikasi fundus W Setiawan Jurnal Simantec 7 (2), 48-53, 2019 | 43 | 2019 |
| Layers modification of convolutional neural network for pneumonia detection W Setiawan, F Damayanti Journal of Physics: Conference Series 1477 (5), 052055, 2020 | 35 | 2020 |
| Prediksi harga saham menggunakan jaringan syaraf tiruan multilayer feedforward network dengan algoritma backpropagation W Setiawan Konferensi Nasional Sistem dan Informatika 15, 2008 | 35 | 2008 |
| Penerapan Metode Naive Bayes Classifier Untuk Deteksi Penyakit pada Tanaman Jagung M Syarief, A Mukminin, N Prastiti, W Setiawan Network Engineering Research Operation 3 (1), 2017 | 22 | 2017 |
| Classification of neovascularization using convolutional neural network model W Setiawan, MI Utoyo, R Rulaningtyas TELKOMNIKA (Telecommunication Computing Electronics and Control) 17 (1), 463-472, 2019 | 17 | 2019 |
| Sistem Deteksi Retinopati Diabetik Menggunakan Support Vector Machine W Setiawan, K Adi, A Sugiharto Jurnal Sistem Informasi Bisnis 3 (3), 1, 2012 | 16 | 2012 |
| Comparison of Naïve Bayes and Certainty Factor Method for Corn Disease Expert System: Case in Bangkalan, Indonesia M Syarief, N Prastiti, W Setiawan Int. J. Eng. Res. Appl. www. ijera. com 7 (11), 30-34, 2017 | 15 | 2017 |
| Reconfiguration layers of convolutional neural network for fundus patches classification W Setiawan, MI Utoyo, R Rulaningtyas Bulletin of Electrical Engineering and Informatics 10 (1), 383-389, 2021 | 13 | 2021 |
| Maize leaf disease image classification using bag of features W Setiawan, M Syarief, N Prastiti Jurnal Infotel 11 (2), 48-54, 2019 | 12 | 2019 |
| Transfer learning with multiple pre-trained network for fundus classification W Setiawan, MI Utoyo, R Rulaningtyas Telkomnika (Telecommunication Computing Electronics and Control) 18 (3 …, 2020 | 11 | 2020 |
| Deep Learning Menggunakan Convolutional Neural Network: Teori dan Aplikasi W Setiawan Media Nusa Creative (MNC Publishing), 2021 | 10 | 2021 |
| Corn leaf disease classification using local binary patterns (LBP) feature extraction A Rachmad, M Syarief, S Rifka, F Sonata, W Setiawan, EMS Rochman Journal of Physics: Conference Series 2406 (1), 012020, 2022 | 9 | 2022 |
| Deep convolutional neural network alexnet and squeezenet for maize leaf diseases image classification W Setiawan, A Ghofur, FH Rachman, R Rulaningtyas Kinetik: Game Technology, Information System, Computer Network, Computing …, 2021 | 9 | 2021 |
| Machine learning and deep learning for maize leaf disease classification: A review W Setiawan, EMS Rochman, BD Satoto, A Rachmad Journal of Physics: Conference Series 2406 (1), 012019, 2022 | 8 | 2022 |
| Deep Learning menggunakan Convolutional Neural Network W Setiawan TIM Media Nusa Creative, 2020 | 8 | 2020 |
| Penerapan Metode Fuzzy Analytical Hierarchi Process Untuk Pemilihan Supplier Batik Madura W Setiawan, R Pujiastutik Prosiding Semnastek, 2015 | 7 | 2015 |
| Simulasi Klasifikasi Hama Dan Penyakit Pada Jagung Dengan Naive Bayes MM Suhadi, MA Helmi, W Setiawan Jurnal Simantec 10 (1), 1-8, 2021 | 6 | 2021 |
| Tobacco leaf images clustering using DarkNet19 and K-means W Setiawan, A Purnama 2020 6th Information Technology International Seminar (ITIS), 269-273, 2020 | 6 | 2020 |
