3dfcnn: Real-time action recognition using 3d deep neural networks with raw depth information A Sanchez-Caballero, S de López-Diz, D Fuentes-Jimenez, ... Multimedia Tools and Applications 81 (17), 24119-24143, 2022 | 72 | 2022 |
Semi-supervised anomaly detection in video-surveillance scenes in the wild MI Sarker, C Losada-Gutiérrez, M Marron-Romera, D Fuentes-Jiménez, ... Sensors 21 (12), 3993, 2021 | 22 | 2021 |
Inception architecture and residual connections in classification of breast Cancer histology images. MI Sarker, H Kim, D Tarasov, D Akhmetzanov ICIAR 2018 Grand Challenge on Brest Cancer Histology Images, 2019 | 11* | 2019 |
Farm land weed detection with region-based deep convolutional neural networks MI Sarker, H Kim 2017 제어로봇시스템학회 전북제주지부 학술대회 (ICROS), 2019 | 10 | 2019 |
A Proposal on Stampede Detection in Real Environments. AC Cob-Parro, C Losada-Gutiérrez, MM Romera, AG Vicente, IB Muñoz, ... IPIN-WiP, 2021 | 2 | 2021 |
Real-time weakly supervised anomaly detection with attention mechanism MI Sarker, M Marrón-Romera, C Losada-Gutiérrez 2023 International Conference on Information Network and Computer …, 2023 | 1 | 2023 |
Corn leaf detection using region based convolutional neural network MI Sarker, H Yang, H Kim arXiv preprint arXiv:1906.01900, 2019 | 1 | 2019 |
Genetic Random Weight Change Algorithm for the Learning of Multilayer Neural Networks MI Sarker, Y Nie, H Yongki, H Kim International Symposium on Information Technology Convergence, ISITC 2016, 2019 | | 2019 |
Optimizing method for Neural Network based on Genetic Random Weight Change Learning Algorithm MI Sarker, ZI Mannan, H Kim 제어로봇시스템학회 국내학술대회 논문집, 272-273, 2017 | | 2017 |
INCC 2023 X Che, B Ip, K Bolka, YB Kankia, IP Barry, W Ji, DQ Chen, S Du, MI Sarker, ... | | |