human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "music transcription by deep learning with data and artificial semantic augmentation"):
  Abstract: In this progress paper the previous results of the single note recognition by deep learning are presented. The several ways for data augmentation and "artificial semantic" augmentation are proposed to enhance efficiency of deep learning approaches for monophonic and polyphonic note recognition by increase of dimensions of training data, their lossless and lossy transformations.

Includes members:
  Member "user driven intelligent interface on the basis of multimodal augmented reality and brain computer interaction for people with functional disabilities":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "prediction of physical load level by machine learning analysis of heart activity after exercises")
  Member "augmented coaching ecosystem for non obtrusive adaptive personalized elderly care on the basis of cloud fog dew computing paradigm":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "prediction of physical load level by machine learning analysis of heart activity after exercises")
  Member "an experimental analysis of the entanglement problem in neural network based music transcription systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "towards interpretable polyphonic transcription with invertible neural networks")
  Member "automatized generation of alphabets of symbols":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "performance evaluation of deep learning networks for semantic segmentation of traffic stereo pair images")
  Member "comparative performance analysis of neural networks architectures on h2o platform for various activation functions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "batch size influence on performance of graphic and tensor processing units during training and inference phases")
  Member "slice to volume medical image registration a survey":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "weakly supervised learning of metric aggregations for deformable image registration")
  Member "comparative analysis of open source frameworks for machine learning with use case in single threaded and multi threaded modes":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "an empirical study towards characterizing deep learning development and deployment across different frameworks and platforms")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.SD(Sound)