1. 2019
  2. van Buel, E. M., Meddens, M. J. M., Arnoldussen, E. A., van den Heuvel, E. R., Bohlmeijer, W. C., den Boer, J. A., ... Klein, H. C. (2019). Major depressive disorder is associated with changes in a cluster of serum and urine biomarkers. Journal of Psychosomatic Research, 125, [109796]. https://doi.org/10.1016/j.jpsychores.2019.109796
  3. Rizky Pratama, A., Lazovik, A., & Aiello, M. (Accepted/In press). Office Multi-Occupancy Detection using BLE Beacons and Power Meters. Paper presented at The 10th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference, New York, United States.
  4. Strisciuglio, N., & Petkov, N. (2019). Trainable COPE Features for Sound Event Detection. In I. Nyström, Y. Hernández Heredia, & V. Milián Núñez (Eds.), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Proceedings (pp. 599-609). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11896 ). Springer. https://doi.org/10.1007/978-3-030-33904-3_56
  5. Van Ditmarsch, H., Gattinger, M., Kokkinis, I., & Kuijer, L. B. (2019). Reachability of Five Gossip Protocols. In E. Filiot, R. Jungers, & I. Potapov (Eds.), Reachability Problems: RP 2019: International Conference on Reachability Problems (pp. 218-231). (Lecture Notes in Computer Science; Vol. 11674). Cham: Springer. https://doi.org/10.1007/978-3-030-30806-3_17
  6. Karastoyanova, D., & Stage, L. (2019). Provenance Holde: Bringing Provenance, Reproducibility and Trust to Flexible ScientificWorkflows and Choreographies. In Proceedings of Second Workshop on Security and Privacy-enhanced Business Process Management at BPM 2019 IEEE.
  7. Foggia, P., Saggese, A., Strisciuglio, N., Vento, M., & Vigilante, V. (2019). Detecting Sounds of Interest in Roads with Deep Networks. In E. Ricci, N. Sebe, S. Rota Bulò, C. Snoek, O. Lanz, & S. Messelodi (Eds.), Image Analysis and Processing – ICIAP 2019 - 20th International Conference, Proceedings (pp. 583-592). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11752 ). Springer Verlag. https://doi.org/10.1007/978-3-030-30645-8_53
  8. Wray, R., Taatgen, N., Lebiere, C., Pastra, K., Pirolli, P., Rosenbloom, P., ... Wiles, J. (2019). Functional knowledge requirements for interactive task learning. In K. Gluck, & J. Laird (Eds.), Interactive task learning: Humans, Robots, and Agents Acquiring New Tasks through Natural Interactions (pp. 19-51). ( Strüngmann Forum Reports; Vol. 26). The MIT Press.
  9. Leyva-Vallina, M., Strisciuglio, N., & Petkov, N. (2019). Place Recognition in Gardens by Learning Visual Representations: Data Set and Benchmark Analysis. In M. Vento, & G. Percannella (Eds.), Computer Analysis of Images and Patterns - 18th International Conference, CAIP 2019, Proceedings (pp. 324-335). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11678 ). Springer Verlag. https://doi.org/10.1007/978-3-030-29888-3_26
  10. Ayoobi, H., Cao, M., Verbrugge, L., & Verheij, B. (2019). Handling unforeseen failures using argumentation-based learning. In International Conference on Automation Science and Engineering (CASE) 2019 (pp. 1699-1704). (IEEE International Conference on Automation Science and Engineering; Vol. 2019-August). IEEE Computer Society. https://doi.org/10.1109/COASE.2019.8843207
  11. Toral Ruiz, A., Edman, L., Spenader, J., & Yeshmagambetova, G. (2019). Neural Machine Translation for English–Kazakh with Morphological Segmentation and Synthetic Data. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1) (Vol. 2, pp. 386-392). Forence, Italy: Association for Computational Linguistics (ACL).
  12. Zhang, X., & Wilkinson, M. H. F. (2019). Preventing Chaining in Alpha-Trees Using Gabor Filters. In B. Burgeth, A. Kleefeld, B. Naegel, N. Passat, & B. Perret (Eds.), Mathematical Morphology and Its Applications to Signal and Image Processing (pp. 268-280). (Lecture Notes in Computer Science; Vol. 11564). Springer. https://doi.org/10.1007/978-3-030-20867-7
  13. Castro Segura, N., Knigge, C., Long, K. S., Altamirano, D., Armas Padilla, M., Casares, J., ... van den Eijnden, J. (2019). Time-resolved UV spectroscopy of the accretion disk and wind in a super-Eddington black-hole X-ray transient. HST Proposal. Cycle 26, 15984.
  14. Veldman, A., Seubers, H., Hosseini Zahraei, S. M., Chang, X., Wellens, P. R., Plas, van der, P., & Helder, J. (2019). Computational methods for moving and deforming objects in extreme waves. In Proceedings of the ASME 38th International Conference on Ocean, Offshore and Arctic EngineeringOMAE2019June 9-14, 2019, Glasgow, Scotland [OMAE2019-96321] ASME.
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