human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "FALCON: A Fast Drop-In Replacement of Citation KNN for Multiple Instance Learning"
  Abstract: Citation KNN is an important but compute-intensive algorithm for multiple instance learning (MIL). This paper presents FALCON, a fast replacement of Citation KNN. FALCON accelerates Citation KNN by removing unnecessary distance calculations through two novel optimizations,  multi-level triangle inequality-based distance filtering  and  heap optimization . The careful design allows it to produce the same results as the original Citation KNN does while avoiding 84--99.8% distance calculations. On seven datasets of various sizes and dimensions, FALCON consistently outperforms Citation KNN by one or two orders of magnitude, making it a promising drop-in replacement of Citation KNN for multiple instance learning.

Connected through hyperedge HE-1 (induced by source paper "Deep multiple instance learning for image classification and auto-annotation"):
  with members:
    - "Deeply-Supervised Nets"
    - "Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science