human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Deep Sparse Rectifier Neural Networks"):
  Abstract: While logistic sigmoid neurons are more biologically plausible than hyperbolic tangent neurons, the latter work better for training multi-layer neural networks. This paper shows that rectifying neurons are an even better model of biological neurons and yield equal or better performance than hyperbolic tangent networks in spite of the hard non-linearity and non-dierentiabil ity

Includes members:
  Member "Opinion Mining and Sentiment Analysis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Optimization for policy making: the cornerstone for an integrated approach")
  Member "DeepNAT: Deep convolutional neural network for segmenting neuroanatomy":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey")
  Member "Maxout Networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Neural Machine Translation by Jointly Learning to Align and Translate")
  Member "Densely Connected Convolutional Networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Maxout Networks")
  Member "DAU-GAN: Unsupervised Object Transfiguration via Deep Attention Unit":
    also connected through other hyperedges:
      (none)
  Member "WiDet: Wi-Fi Based Device-Free Passive Person Detection with Deep Convolutional Neural Networks":
    also connected through other hyperedges:
      (none)

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science