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Biomedical image classification based on a feature concatenation and ensemble of deep CNNs., , , and . J. Ambient Intell. Humaniz. Comput., 14 (11): 15455-15467 (2023)Supervised Autoencoder Joint Learning on Heterogeneous Tactile Sensory Data: Improving Material Classification Performance., , , and . IROS, page 10907-10913. IEEE, (2020)Classification of Non-Tumorous Facial Pigmentation Disorders using Deep Learning and SMOTE., , , , , and . ISCAS, page 1-5. IEEE, (2019)Investigating Vision Foundational Models for Tactile Representation Learning., , , and . CoRR, (2023)Classification of Non-Tumorous Facial Pigmentation Disorders Using Improved Smote and Transfer Learning., , , , , and . ICIP, page 220-224. IEEE, (2019)Towards a Programming-Free Robotic System for Assembly Tasks Using Intuitive Interactions., , , , , , , and . ICSR, volume 13086 of Lecture Notes in Computer Science, page 203-215. Springer, (2021)Classification of Non-tumorous Facial Pigmentation Disorders Using Generative Adversarial Networks and Improved SMOTE., , , , and . EMBC, page 3770-3773. IEEE, (2021)Controllable Visual-Tactile Synthesis., , and . ICCV, page 7017-7029. IEEE, (2023)Fast Texture Classification Using Tactile Neural Coding and Spiking Neural Network., , , , and . IROS, page 9890-9895. IEEE, (2020)On Explainability and Sensor-Adaptability of a Robot Tactile Texture Representation Using a Two-Stage Recurrent Networks., , , and . IROS, page 1296-1303. IEEE, (2021)