Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments

Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments. Papalexakis, E. E., Fyshe, A., Sidiropoulos, N. D., Talukdar, P. P., Mitchell, T. M., & Faloutsos, C. In Macskassy, S. A., Perlich, C., Leskovec, J., Wang, W., & Ghani, R., editors, The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014, pages 95–104, 2014. ACM.

Paper doi bibtex

@inproceedings{DBLP:conf/kdd/PapalexakisFSTMF14,
  author       = {Evangelos E. Papalexakis and
                  Alona Fyshe and
                  Nicholas D. Sidiropoulos and
                  Partha Pratim Talukdar and
                  Tom M. Mitchell and
                  Christos Faloutsos},
  editor       = {Sofus A. Macskassy and
                  Claudia Perlich and
                  Jure Leskovec and
                  Wei Wang and
                  Rayid Ghani},
  title        = {Good-enough brain model: challenges, algorithms and discoveries in
                  multi-subject experiments},
  booktitle    = {The 20th {ACM} {SIGKDD} International Conference on Knowledge Discovery
                  and Data Mining, {KDD} '14, New York, NY, {USA} - August 24 - 27,
                  2014},
  pages        = {95--104},
  publisher    = {{ACM}},
  year         = {2014},
  url          = {https://doi.org/10.1145/2623330.2623639},
  doi          = {10.1145/2623330.2623639},
  timestamp    = {Wed, 07 Dec 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/kdd/PapalexakisFSTMF14.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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