Publications

  • Javier Muros, F., M. Maestre , J., You, L., & Stankova, K. (2018). Model predictive control for optimal treatment in a spatial cancer game. In Proceedings of the 2017 IEEE 56th Annual Conference on Decision and Control (CDC) (Vol. 56, pp. 5539 - 5544 ). Melbourne, VIC, Australia: IEEE. DOI: 10.1109/CDC.2017.8264481
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  • Krebs, F., Lubascher, B., Moers, T., Schaap, P., & Spanakis, G. (2018). Social Emotion Mining Techniques for Facebook Posts Reaction Prediction. In Proceedings of the 10th International Conference on Agents and Artificial Intelligence (pp. 211-220). DOI: 10.5220/0006656002110220
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  • Soemers, D. J. N. J., Brys, T., Driessens, K., Winands, M. H. M., & Nowé, A. (2018). Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018: The Thirtieth AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-18) (pp. 7831-7836). AAAI Press.
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  • Sun, Z., & Roos, N. (2018). Dynamically stable walk control of biped humanoid on uneven and inclined terrain. Neurocomputing, 280, 111 - 122. DOI: 10.1016/j.neucom.2017.08.077
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  • Roos, N. (2018). Learning-Based Diagnosis and Repair. In B. Verheij, & M. Wiering (Eds.), Artificial Intelligence: 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8–9, 2017, Revised Selected Papers (pp. 1-15). (Communications in Computer and Information Science; Vol. 823). Cham: Springer International Publishing.
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  • Sironi, C. F., & Winands, M. H. M. (2018). On-Line Parameter Tuning for Monte-Carlo Tree Search in General Game Playing. In T. Cazenave, M. H. M. Winands, & A. Saffidine (Eds.), Computer Games: 6th Workshop, CGW 2017, Held in Conjunction with the 26th International Conference on Artificial Intelligence, IJCAI 2017, Melbourne, VIC, Australia, August, 20, 2017, Revised Selected Papers (pp. 75-95). Cham: Springer International Publishing. DOI: 10.1007/978-3-319-75931-9_6
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  • Sironi, C. F., Liu, J., Perez-Liebana, D., Gaina, R. D., Bravi, I., Lucas, S. M., & Winands, M. H. M. (2018). Self-adaptive MCTS for General Video Game Playing. In K. Sim, & P. Kaufmann (Eds.), Applications of Evolutionary Computation. EvoApplications 2018 (Vol. 10784, pp. 358-375). (Lecture Notes in Computer Science; Vol. 10784). Springer. DOI: 10.1007/978-3-319-77538-8_25
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  • Schüller, K., Stankova, K., You, L., & Thuijsman, F. (2018). Simulations of Complex Evolutionary Games. Poster session presented at Understanding Cancer Through Evolutionary Game Theory, Leiden, Netherlands.
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  • You, L. (2018). Spatial and nonspatial evolutionary games and their applications Maastricht: Maastricht University DOI: 10.26481/dis.20180207yl
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  • You, L., Brown, J. S., Thuijsman, F., Cunningham, J. J., Gatenby, R. A., Zhang, J., & Stankova, K. (2017). Spatial vs. non-spatial eco-evolutionary dynamics in a tumor growth model. Journal of Theoretical Biology, 435, 78-97. DOI: 10.1016/j.jtbi.2017.08.022
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  • Kelk, S., & Fischer, M. (2017). On the Complexity of Computing MP Distance Between Binary Phylogenetic Trees. Annals of Combinatorics, 21(4), 573-604. DOI: 10.1007/s00026-017-0361-1
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  • Bartl, A., & Spanakis, G. (2017). A Retrieval-Based Dialogue System Utilizing Utterance and Context Embeddings. In 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 1120-1125). IEEE. DOI: 10.1109/ICMLA.2017.00011
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  • Bayer, P., Brown, J., & Stankova, K. (2017). A Two-Phenotype Model of Immune Evasion by Cancer Cells. (GSBE Research Memoranda; No. 029). GSBE.
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  • Karel, J., & Peeters, R. (2017). Orthogonal Matched Wavelets with Vanishing Moments: A Sparsity Design Approach. Circuits Systems and Signal Processing. DOI: 10.1007/s00034-017-0716-1
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  • Hermans, J. R., Spanakis, G., & Möckel, R. (2017). Accumulated Gradient Normalization. In M-L. Zhang, & Y-K. Noh (Eds.), Proceedings of the 9th Asian Conference on Machine Learning (Vol. 77, pp. 439-454). (Proceedings of Machine Learning Research). Proceedings of Machine Learning Research.
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  • Bayer, P., Herings, P. J-J., Peeters, R., & Thuijsman, F. (2017). Adaptive Learning in Weighted Network Games. (GSBE Research Memoranda; No. 025). GSBE.
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  • Bonizzi, P., Driessens, K., & Karel, J. (2017). Detection of Atrial Fibrillation Episodes from short single lead recordings by means of ensemble learning. In Computing in Cardiology Rennes, France.
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  • Bonizzi, P., Zeemering, S., Karel, J., azman, M. H., Lankveld, T. A. R., Schotten, U., ... Meste, O. (2017). Noninvasive Characterisation of Short-and Long-Term Recurrence of Atrial Signals During Persistent Atrial Fibrillation. In Computing in Cardiology Rennes, France.
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  • Slaney, H. L., Hewitt, L. C., Silva, A., Wickstone, C., Davarzani, N., Quirke, P., ... Grabsch, H. I. (2017). Comparing Gene Copy Number Status of Receptor Tyrosine Kinase and Downstream Signalling Genes Between Oesophageal and Gastric Cancer. Journal of Pathology, 243, S30-S30.
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  • Davarzani, N., Hale, M. D., Jolani, S., Hewitt, L. C., Fazzi, G., Hutchins, G. A., & Grabsch, H. I. (2017). Optimising the Sampling Strategy to Determine the Tumour Proportion in the Diagnostic Endoscopic Biopsy in Oesophageal Cancer. Journal of Pathology, 243, S29-S29.
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