| Neural network powered COVID-19 spread forecasting model M Wieczorek, J Siłka, M Woźniak Chaos, Solitons & Fractals 140, 110203, 2020 | 159 | 2020 |
| Deep neural network correlation learning mechanism for CT brain tumor detection M Woźniak, J Siłka, M Wieczorek Neural Computing and Applications 35 (20), 14611-14626, 2023 | 154 | 2023 |
| Lightweight convolutional neural network model for human face detection in risk situations M Wieczorek, J Siłka, M Woźniak, S Garg, MM Hassan IEEE Transactions on Industrial Informatics 18 (7), 4820-4829, 2021 | 98 | 2021 |
| Recurrent neural network model for IoT and networking malware threat detection M Woźniak, J Siłka, M Wieczorek, M Alrashoud IEEE Transactions on Industrial Informatics 17 (8), 5583-5594, 2020 | 92 | 2020 |
| BiLSTM deep neural network model for imbalanced medical data of IoT systems M Woźniak, M Wieczorek, J Siłka Future Generation Computer Systems 141, 489-499, 2023 | 71 | 2023 |
| Body pose prediction based on motion sensor data and recurrent neural network M Woźniak, M Wieczorek, J Siłka, D Połap IEEE Transactions on Industrial Informatics 17 (3), 2101-2111, 2020 | 70 | 2020 |
| Recurrent neural network model for high-speed train vibration prediction from time series J Siłka, M Wieczorek, M Woźniak Neural Computing and Applications 34 (16), 13305-13318, 2022 | 53 | 2022 |
| Real-time neural network based predictor for cov19 virus spread M Wieczorek, J Siłka, D Połap, M Woźniak, R Damaševičius PLoS One 15 (12), e0243189, 2020 | 38 | 2020 |
| Deep neural network with transfer learning in remote object detection from drone M Woźniak, M Wieczorek, J Siłka Proceedings of the 5th international ACM Mobicom workshop on drone assisted …, 2022 | 31 | 2022 |
| Malaria detection using advanced deep learning architecture W Siłka, M Wieczorek, J Siłka, M Woźniak Sensors 23 (3), 1501, 2023 | 29 | 2023 |
| Deep learning based crowd counting model for drone assisted systems M Woźniak, J Siłka, M Wieczorek Proceedings of the 4th ACM MobiCom workshop on drone assisted wireless …, 2021 | 29 | 2021 |
| Deep neural network heuristic hierarchization for cooperative intelligent transportation fleet management Q Ke, J Siłka, M Wieczorek, Z Bai, M Woźniak IEEE Transactions on Intelligent Transportation Systems 23 (9), 16752-16762, 2022 | 22 | 2022 |
| Wo zniak M M Wieczorek, J Siłka Neural network powered covid-19 spread forecasting model. Chaos, Solitons …, 2020 | 12 | 2020 |
| Multimodal image fusion method based on multiscale image matting S Maqsood, R Damasevicius, J Siłka, M Woźniak International Conference on Artificial Intelligence and Soft Computing, 57-68, 2021 | 6 | 2021 |
| Neural Computing and Applications M Woźniak, J Siłka, M Wieczorek Berlin, Germany: Springer, 2021 | 5 | 2021 |
| Empirical mode decomposition based data augmentation for time series prediction using NARX network OO Abayomi-Alli, T Sidekerskienė, R Damaševičius, J Siłka, D Połap International Conference on Artificial Intelligence and Soft Computing, 702-711, 2020 | 5 | 2020 |
| Bidirectional Long Short-Term Memory Classifier Assist for Intelligent Ransomware Detection in Android OS. J Silka IVUS, 45-53, 2021 | 1 | 2021 |
| Future Graduate Salaries Prediction Model Based On Recurrent Neural Network J Siłka, M Wieczorek, M Woźniak 2020 15th Conference on Computer Science and Information Systems (FedCSIS …, 2020 | 1 | 2020 |
| Semantic Segmentation Neural Network in Automatic Weapon Detection M Wieczorek, J Siłka, M Kobielnik, M Woźniak International Conference on Artificial Intelligence and Soft Computing, 112-120, 2023 | | 2023 |
| BiLSTM Deep Learning Model for Heart Problems Detection J Siłka, M Wieczorek, M Kobielnik, M Woźniak International Conference on Artificial Intelligence and Soft Computing, 93-104, 2022 | | 2022 |
