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@ARTICLE{Javaid:1014359,
      author       = {Javaid, Muhammad Bin and Gervens, Timo Richard and Mitsos,
                      Alexander and Grohe, Martin and Rittig, Jan Gerald},
      title        = {{E}xploring data augmentation: {M}ulti-task methods for
                      molecular property prediction},
      journal      = {Computers $\&$ chemical engineering},
      volume       = {201},
      issn         = {0098-1354},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {RWTH-2025-06044},
      pages        = {109253},
      year         = {2025},
      cin          = {416710 / 122910 / 120000 / 080031},
      ddc          = {660},
      cid          = {$I:(DE-82)416710_20140620$ / $I:(DE-82)122910_20140620$ /
                      $I:(DE-82)120000_20140620$ / $I:(DE-82)080031_20200305$},
      pnm          = {OAPKF - Open-Access-Publikation mit Unterstützung der RWTH
                      Aachen University (021000-OAPKF) / HDS LEE - Helmholtz
                      School for Data Science in Life, Earth and Energy (HDS LEE)
                      (HDS-LEE-20190612) / DFG project G:(GEPRIS)466417970 -
                      Generatives graph-basiertes maschinelles Lernen für das
                      integrierte Design von Molekülen und Prozessen (466417970)
                      / Doktorandenprogramm (PHD-PROGRAM-20170404) / DFG project
                      G:(GEPRIS)441958259 - SPP 2331: Maschinelles Lernen in der
                      Verfahrenstechnik. Wissen trifft auf Daten:
                      Interpretierbarkeit, Extrapolation, Verlässlichkeit,
                      Vertrauen (441958259) / WSS-Forschungszentrum catalaix
                      (CATALAIX-WSS100) / SymSim - Symmetry and Similarity
                      (101054974)},
      pid          = {G:(DE-82)021000-OAPKF / G:(DE-Juel1)HDS-LEE-20190612 /
                      G:(GEPRIS)466417970 / G:(DE-HGF)PHD-PROGRAM-20170404 /
                      G:(GEPRIS)441958259 / G:(WSS)CATALAIX-WSS100 /
                      G:(EU-Grant)101054974},
      typ          = {PUB:(DE-HGF)16 / PUB:(DE-HGF)7},
      UT           = {WOS:001527169800002},
      doi          = {10.1016/j.compchemeng.2025.109253},
      url          = {https://publications.rwth-aachen.de/record/1014359},
}