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Deep Crowd Anomaly Detection: State-of-the-Art, Challenges, and Future Research Directions.

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DEADLINER: Building a New Niche Search Engine., , , , , , and . CIKM, page 272-281. ACM, (2000)Representation of fuzzy finite state automata in continuous recurrent, neural networks., , and . ICNN, page 1023-1027. IEEE, (1996)Facial Action Unit Recognition Using Recurrent Neural Networks., , and . IPCV, page 357-361. CSREA Press, (2009)Extraction of rules from discrete-time recurrent neural networks., and . Neural Networks, 9 (1): 41-52 (1996)Fuzzy finite-state automata can be deterministically encoded into recurrent neural networks., , and . IEEE Trans. Fuzzy Syst., 6 (1): 76-89 (1998)Stable encoding of large finite-state automata in recurrent neural networks with sigmoid discriminants., and . Neural Comput., 8 (4): 675-696 (1996)Deep Crowd Anomaly Detection: State-of-the-Art, Challenges, and Future Research Directions., , and . CoRR, (2022)SleepXAI: An explainable deep learning approach for multi-class sleep stage identification., , , and . Appl. Intell., 53 (13): 16830-16843 (July 2023)Symbolic information in recurrent neural networks: Issues of representation and training.. Rensselaer Polytechnic Institute, USA, (1994)A Hybrid System for Signature Verification., and . IJCNN (5), page 509-514. IEEE Computer Society, (2000)0-7695-0619-4.