M.S. Javier Romero Davila

University of Potsdam
Institute of Computer Science
August-Bebel-Str. 89
D-14482 Potsdam

Office complex III, House 4, Room 02.11
directly at the Griebnitzsee S-Bahn station

Phone   +49-331-977-3092
Fax   +49-331-977-3122
Email  javier@cs.uni-potsdam.de

Publications

2019

  1. Obermeier, P., Romero, J., & Schaub, T. (2019). Multi-Shot Stream Reasoning in Answer Set Programming: A Preliminary Report. OJDB, 6(1), 33–38. [pdf] [bib]
  2. Alviano, M., Romero, J., & Schaub, T. (2019). On the Integration of CP-nets in ASPRIN. In IJCAI (pp. 1495–1501). ijcai.org. [pdf] [bib]
  3. Dimopoulos, Y., Gebser, M., Lühne, P., Romero, J., & Schaub, T. (2019). plasp 3: Towards Effective ASP Planning. TPLP, 19(3), 477–504. [pdf] [bib]

2018

  1. Brewka, G., Ellmauthaler, S., Kern-Isberner, G., Obermeier, P., Ostrowski, M., Romero, J., … Schieweck, S. (2018). Advanced Solving Technology for Dynamic and Reactive Applications. KI, 32(2-3), 199–200. [pdf] [bib]
  2. Razzaq, M., Kaminski, R., Romero, J., Schaub, T., Bourdon, J., & Guziolowski, C. (2018). Computing Diverse Boolean Networks from Phosphoproteomic Time Series Data. In CMSB (Vol. 11095, pp. 59–74). Springer. [bib]
  3. Dimopoulos, Y., Gebser, M., Lühne, P., Romero, J., & Schaub, T. (2018). plasp 3: Towards Effective ASP Planning. CoRR, abs/1812.04491. [pdf] [bib]
  4. Alviano, M., Romero, J., & Schaub, T. (2018). Preference Relations by Approximation. In KR (pp. 2–11). AAAI Press. [pdf] [bib]
  5. Gebser, M., Kaminski, R., Kaufmann, B., Lühne, P., Obermeier, P., Ostrowski, M., … Wanko, P. (2018). The Potsdam Answer Set Solving Collection 5.0. KI, 32(2-3), 181–182. [pdf] [bib]

2017

  1. Romero, J. (2017). asprin: Answer Set Programming with Preferences. In BTW (pp. 159–162). Bonn: Gesellschaft für Informatik e.V. [pdf] [bib]
  2. Romero, J. (2017). Extending Answer Set Programming with Declarative Heuristics, Preferences, and Online Planning. In DC@LPNMR (pp. 28–30). [pdf] [bib]
  3. Romero, J., Schaub, T., & Son, T. C. (2017). Generalized Answer Set Planning with Incomplete Information. In ASPOCP@LPNMR (Vol. 1868). CEUR-WS.org. [pdf] [bib]
  4. Dimopoulos, Y., Gebser, M., Lühne, P., Romero, J., & Schaub, T. (2017). plasp 3: Towards Effective ASP Planning. In LPNMR (Vol. 10377, pp. 286–300). Springer. [pdf] [bib]

2016

  1. Gebser, M., Kaminski, R., Kaufmann, B., Lühne, P., Romero, J., & Schaub, T. (2016). Answer Set Solving with Generalized Learned Constraints. In ICLP (Technical Communications) (Vol. 52, pp. 9:1–9:15). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. [pdf] [bib]
  2. Romero, J., Schaub, T., & Wanko, P. (2016). Computing Diverse Optimal Stable Models. In ICLP (Technical Communications) (Vol. 52, pp. 3:1–3:14). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. [pdf] [bib]
  3. Gebser, M., Guyet, T., Quiniou, R., Romero, J., & Schaub, T. (2016). Knowledge-Based Sequence Mining with ASP. In IJCAI (pp. 1497–1504). IJCAI/AAAI Press. [pdf] [bib]

2015

  1. Brewka, G., Delgrande, J. P., Romero, J., & Schaub, T. (2015). asprin: Customizing Answer Set Preferences without a Headache. In AAAI (pp. 1467–1474). AAAI Press. [pdf] [bib]
  2. Brewka, G., Delgrande, J. P., Romero, J., & Schaub, T. (2015). Implementing Preferences with asprin. In LPNMR (Vol. 9345, pp. 158–172). Springer. [pdf] [bib]
  3. Andres, B., Biewer, A., Romero, J., Haubelt, C., & Schaub, T. (2015). Improving Coordinated SMT-Based System Synthesis by Utilizing Domain-Specific Heuristics. In LPNMR (Vol. 9345, pp. 55–68). Springer. [pdf] [bib]
  4. Gebser, M., Kaminski, R., Kaufmann, B., Romero, J., & Schaub, T. (2015). Progress in clasp Series 3. In LPNMR (Vol. 9345, pp. 368–383). Springer. [pdf] [bib]

2014

  1. Brewka, G., Delgrande, J. P., Romero, J., & Schaub, T. (2014). Are Preferences Giving You a Headache? — Take asprin! In ASPOCP@LPNMR. [pdf] [bib]

2013

  1. Gebser, M., Kaufmann, B., Romero, J., Otero, R., Schaub, T., & Wanko, P. (2013). Domain-Specific Heuristics in Answer Set Programming. In AAAI. AAAI Press. [pdf] [bib]