Association for Computing Machinery

Publisher

  1. 2018
  2. Soudris, D., Papadopoulos, L., Kessler, C. W., Kehagias, D. D., Papadopoulos, A., Seferlis, P., ... Haefele, M. (2018). EXA2PRO programming environment: Architecture and applications. In T. Mudge, & D. N. Pnevmatikatos (Eds.), Proceedings - 2018 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2018 (pp. 202-209). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3229631.3239369
  3. Cristal, A., Unsal, O. S., Martorell, X., Carpenter, P., De La Cruz, R., Bautista, L., ... Felber, P. (2018). LEGaTO: First steps towards energy-efficient toolset for heterogeneous computing. In T. Mudge, & D. N. Pnevmatikatos (Eds.), Proceedings - 2018 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2018 (pp. 210-217). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3229631.3239370
  4. Sa'Dijah, C., Nurrahmawati, Sudirman, Muksar, M., & Anwar, L. (2018). Teachers' Representation in Solving Mathematical Word Problem. In ICEMT 2018 - 2018 2nd International Conference on Education and Multimedia Technology (pp. 85-89). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3206129.3239419
  5. Yuliati, L., & Munfaridah, N. (2018). The influence of thinking maps on discovery learning toward physics problem solving skills. In ICEMT 2018 - 2018 2nd International Conference on Education and Multimedia Technology (pp. 59-63). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3206129.3239423
  6. 2017
  7. Osman, H., Ghafari, M., Nierstrasz, O., & Lungu, M. (2017). An extensive analysis of efficient bug prediction configurations. In PROMISE 2017 - 13th International Conference on Predictive Models and Data Analytics in Software Engineering (pp. 107-115). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3127005.3127017
  8. Dedeić, J., Pantović, J., & Pérez, J. A. (2017). Efficient compensation handling via subjective updates. In 32nd Annual ACM Symposium on Applied Computing, SAC 2017 (pp. 51-58). (Proceedings of the ACM Symposium on Applied Computing; Vol. Part F128005). Association for Computing Machinery. https://doi.org/10.1145/3019612.3019625
  9. Verheij, B. (2017). Formalizing Arguments, Rules and Cases. In ICAIL '17: Proceedings of the 16th international conference on Artificial int (pp. 199-208). (Proceedings of the 16th international conference on Artificial intelligence and law; Vol. 10). London: Association for Computing Machinery. https://doi.org/10.1145/3086512.3086533
  10. 2016
  11. Kyriakakis, P., Chatzigeorgiou, A., Ampatzoglou, A., & Xinogalos, S. (2016). Evolution of method invocation and object instantiation patterns in a PHP ecosystem. In PCI 2016 - 20th Pan-Hellenic Conference on Informatics [a42] Association for Computing Machinery. https://doi.org/10.1145/3003733.3003777
  12. 2013
  13. Ciobanu, C. B., Pnevmatikatos, D. N., Papadimitriou, K. D., & Gaydadjiev, G. N. (2013). FASTER run-time reconfiguration management. In ICS 2013 - Proceedings of the 2013 ACM International Conference on Supercomputing (Proceedings of the International Conference on Supercomputing). Association for Computing Machinery. https://doi.org/10.1145/2464996.2467283
  14. 2010
  15. Crippa, A., Maurits, N. M., & Roerdink, J. B. T. M. (2010). Graph averaging as a means to compare multichannel EEG coherence networks. In EPRINTS-BOOK-TITLE Association for Computing Machinery.

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