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	1	Deep learning based multi-modal perception and semi-automatic labelling algorithms for automotive sensor data Haase-Schütz, Christian. - Kassel : Universitätsbibliothek Kassel, 2024
	2	3D Geo-Modeling Framework for Multisource Heterogeneous Data Fusion Based on Multimodal Deep Learning and Multipoint Statistics: A case study in South China Sea Enthalten in EGUsphere 26.03.2024: 1-44. 44 S.
	3	Genetic algorithm-based hybrid deep learning model for explainable Alzheimer’s disease prediction using temporal multimodal cognitive data Enthalten in International journal of data science and analytics 8.3.2024: 1-31
	4	Predicting microvascular invasion in hepatocellular carcinoma with a CT- and MRI-based multimodal deep learning model Enthalten in Abdominal radiology 3.3.2024: 1-14
	5	Enhancing masked facial expression recognition with multimodal deep learning Enthalten in Multimedia tools and applications 13.2.2024: 1-11
	6	Artificial intelligence-Enabled deep learning model for multimodal biometric fusion Enthalten in Multimedia tools and applications 8.2.2024: 1-24
	7	Correction: Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study Enthalten in Ultraschall in der Medizin 12.01.2024
	8	A deep learning-based method for deep information extraction from multimodal data for geological reports to support geological knowledge graph construction Enthalten in Earth science informatics 8.1.2024: 1-21
	9	Ameliorating multimodal food classification using state of the art deep learning techniques Enthalten in Multimedia tools and applications 4.1.2024: 1-24
	10	Multi-Robot Task Allocation Using Multimodal Multi-Objective Evolutionary Algorithm Based on Deep Reinforcement Learning Enthalten in Shang hai jiao tong da xue: Journal of Shanghai Jiaotong University 2.1.2024: 1-11

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