1. 2019
  2. Costa, A. C., Barufaldi, B., Borges, L. R., Biehl, M., Maidment, A. D. A., & Vieira, M. A. C. (2019). Analysis of feature relevance using an image quality index applied to digital mammography. In SPIE Medical Imaging 2019 (Vol. 10948). [109485R] San Diego, CA, USA: Society of Photo-Optical Instrumentation Engineers (SPIE). https://doi.org/10.1117/12.2512975
  3. Pfannschmidt, L., Jakob, J., Biehl, M., Tino, P., & Hammer, B. (2019). Feature Relevance Bounds for Ordinal Regression. ArXiv e-prints.
  4. Marlevi, D., Ruijsink, B., Balmus, M., Dillon-Murphy, D., Fovargue, D., Pushparajah, K., ... Nordsletten, D. A. (2019). Estimation of Cardiovascular Relative Pressure Using Virtual Work-Energy. Scientific Reports, 9, [1375]. https://doi.org/10.1038/s41598-018-37714-0
  5. Boulogne, L., Dijkstra, K., & Wiering, M. (2019). Extra Domain Data Generation with Generative Adversarial Nets. In Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018 (pp. 1403-1410). (Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018; Vol. 13, No. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSCI.2018.8628701
  6. van Vugt, M. K., Moye, A., Pollock, J., Johnson, B., Bonn-Miller, M. O., Gyatso, K., ... Fresco, D. M. (2019). Tibetan Buddhist monastic debate: Psychological and neuroscientific analysis of a reasoning-based analytical meditation practice. In Imagining the Brain: Episodes in the History of Brain Research (Progress in brain research). Elsevier. https://doi.org/10.1016/bs.pbr.2018.10.018
  7. Ionica, S., Kilicer, P., Lauter, K., Garcia, E. L., Massierer, M., Manzateanu, A., & Vincent, C. (2019). Modular invariants for genus 3 hyperelliptic curves. Research in Number Theory, SpringerOpen, 5(9). https://doi.org/10.1007/s40993-018-0146-6
  8. Proietti, C., Grossi, D., Smets, S., & Velázquez-Quesada, F. R. (2019). Bipolar Argumentation Frameworks, Modal Logic and Semantic Paradoxes. In P. Blackburn, E. Lorini, & M. Guo (Eds.), Logic, Rationality, and Interaction - 7th International Workshop, LORI 2019, Proceedings (pp. 214-229). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11813 LNCS). SPRINGER. https://doi.org/10.1007/978-3-662-60292-8_16
  9. Grossi, D., & Rey, S. (2019). Credulous acceptability, poison games and modal logic. In 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019 (pp. 1994-1996). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; Vol. 4). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).
  10. Sillitti, A., Schomaker, L., Anakabe, J. F., Basurko, J., Dam, P., Ferreira, H., ... Zurutuza, U. (2019). Providing Proactiveness: Data Analysis Techniques Portfolios. In M. Albano, E. Jantunen, G. Papa, & U. Zurutuza (Eds.), The MANTIS Book : Cyber Physical System Based Proactive Collaborative Maintenance (pp. 145-238). Gistrup (DK): River Publishers.
  11. van Leeuwen, L., & Verheij, B. (2019). A Comparison of Two Hybrid Methods for Analyzing Evidential Reasoning. In M. Araszkiewicz, & V. Rodríguez-Doncel (Eds.), Legal Knowledge and Information Systems. JURIX 2019: The Thirty-second Annual Conference (pp. 53-62). ( Frontiers in Artificial Intelligence and Applications; Vol. 322). Amsterdam: IOS Press. https://doi.org/10.3233/FAIA190306
  12. Bhole, A., Falzon, O., Biehl, M., & Azzopardi, G. (2019). A Computer Vision Pipeline that Uses Thermal and RGB Images for the Recognition of Holstein Cattle. In M. Vento, & G. Percannella (Eds.), Computer Analysis of Images and Patterns: 18th International Conference, CAIP 2019, Salerno, Italy, September 3–5, 2019, Proceedings, Part II (pp. 108-119). (Lecture Notes in Computer Science; Vol. 11679). Cham: Springer. https://doi.org/10.1007/978-3-030-29891-3_10
  13. Babai, M., Chowdhury, A. S., & Wilkinson, M. H. F. (2019). A Graph Formalism for Time and Memory Efficient Morphological Attribute-Space Connected Filters. In B. Burget, A. Kleefeld, B. Naegel, N. Passat, & B. Perret (Eds.), Mathematical Morphology and Its Applications to Signal and Image Processing (pp. 281-294). (Lecture Notes in Computer Science; Vol. 11564), (Image Processing, Computer Vision, Pattern Recognition, and Graphics; Vol. 11564). Springer International Publishing. https://doi.org/10.1007/978-3-030-20867-7_22
  14. Jia, J., Waarde, van, H., Camlibel, K., & Trentelman, H. L. (2019). A Unifying Framework for Strong Structural Con- trollability. Abstract from 38th Benelux Meeting on Systems and Control 2019, Lommel, Belgium.
  15. Bosnic, A., & Spenader, J. (2019). Acquisition Path of Distributive Markers in Serbian and Dutch: Evidence from an Act-Out Task. In M. M. Brown, & B. Dailey (Eds.), Proceedings of the 43rd Boston University Conference on Language Development (pp. 94-108). Somerville, MA: Cascadilla Press.
  16. Shafiee Kamalabad, M. (2019). Advanced non-homogeneous dynamic Bayesian network models for statistical analyses of time series data. [Groningen]: University of Groningen.
Previous 1 2 3 4 5 6 7 8 ...115 Next

ID: 61696742