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Fusing bottom-up and top-down pathways in neural networks for visual object recognition.

, , and . IJCNN, page 1-8. IEEE, (2010)

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Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems., , , and . Multi-Objective Machine Learning, volume 16 of Studies in Computational Intelligence, Springer, (2006)Data Driven Evolutionary Optimization of Complex Systems: Big Data Versus Small Data.. GECCO (Companion), page 1281-1282. ACM, (2016)CIS Publication Spotlight Publication Spotlight., , , , , , and . IEEE Comput. Intell. Mag., 16 (4): 14-16 (2021)A fuzzy constraint handling technique for decomposition-based constrained multi- and many-objective optimization., , , , and . Inf. Sci., (2022)Fault-tolerant adaptive tracking control of Euler-Lagrange systems - An echo state network approach driven by reinforcement learning., , and . Neurocomputing, (2022)Augmented Transformers with Adaptive n-grams Embedding for Multilingual Scene Text Recognition., , and . CoRR, (2023)Federated Learning on Non-IID Data: A Survey., , , and . CoRR, (2021)Cross-modality Neuroimage Synthesis: A Survey., , , , , , and . ACM Comput. Surv., 56 (3): 80:1-80:28 (March 2024)Experience Sharing Based Memetic Transfer Learning for Multiagent Reinforcement Learning., , , and . Memetic Comput., 14 (1): 3-17 (2022)Multi-objective Evolutionary Federated Learning.. IoTBDS, page 5. SCITEPRESS, (2021)