Items where Division is "Engineering & Applied Sciences > Computer science research group" and Year is 2019

A

Asatiani, Aleksandre, Penttinen, Esko and Kumar, Ashish (2019). Uncovering the nature of the relationship between outsourcing motivations and the degree of outsourcing: An empirical study on Finnish small and medium-sized enterprises. Journal of Information Technology, 34 (1), pp. 39-58.

B

Bastin, Lucy, Gorelick, Noel, Saura, Santiago, Bertzky, Bastian, Dubois, Grégoire, Fortin, Marie Josée and Pekel, Jean Francois (2019). Inland surface waters in protected areas globally:Current coverage and 30-year trends. PLoS ONE, 14 (1),

Batra, Vishwash, He, Yulan and Vogiatzis, George (2019). A Deep Learning Approach to Automatic Caption Generation for News Images. IN: The 11th International Conference on Language Resources and Evaluation (LREC). European Language Resources Association (ELRA).

Bencomo, Nelly, Garcia Paucar, Luis and Yuen, Kevin Kam Fung (2019). ARRoW: Automatic Runtime Reappraisal of Weights for Self-Adaptation. IN: The 12th Edition of the Requirements Engineering Track (RE-Track'19) is part of the 34rd ACM Symposium on Applied Computing. SAC 2019. ACM.

Bencomo, Nelly, Götz, Sebatian and Song, Hui (2019). Models@run.time:a Guided Tour of the State-of-the-Art and Research Challenges. Software and Systems Modeling, 18 (5), pp. 3049-3082.

Bird, Jordan, Faria, Diego, Manso, Luis J., Ekárt, Anikó and Buckingham, Christopher D (2019). A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction. Complexity, 2019 ,

C

Carr, Thomas, Chli, Maria and Vogiatzis, George (2019). Domain Adaptation for Reinforcement Learning on the Atari. IN: Proceedings of the 2019 International Conference on Autonomous Agents and Multi-Agent Systems. ACM.

Chen, Jingqiang and Zhuge, Hai (2019). Extractive summarization of documents with images based on multi-modal RNN. Future Generation Computer Systems, 99 , pp. 186-196.

D

D’Haeseleer, Ine, Gerling, Kathrin, Vanrumste, Bart, Schreurs, Dominique, Buckingham, Christopher D and Vanden Abeele, Vero (2019). Uses and Attitudes of Old and Oldest Adults towards Self-Monitoring Health Systems. IN: Pervasive Health ’19: EAI International Conference on Pervasive Computing Technologies for Healthcare, May 20–23, 2019, Trento, Italy. UNSPECIFIED.

E

Easton, Edward, Bernardet, Ulysses and Ekart, Aniko (2019). Tired of Choosing? Just Add Structure and Virtual Reality. IN: Computational Intelligence in Music, Sound, Art and Design - 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Proceedings. Castro Pena, María Luz; Ekárt, Anikó and Liapis, Antonios (eds) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11453 . Springer.

F

Farrow, Claire, Belcher, Esme, Coulthard, Helen, Thomas, Jason Michael, Lumsden, Joanna M, Hakobyan, Lilit and Haycraft, Emma (2019). Using repeated visual exposure, rewards and modelling in a mobile application to increase vegetable acceptance in children. Appetite, 141 ,

G

Garcia Paucar, Luis Hernan and Bencomo, Nelly (2019). Knowledge Base K Models to Support Trade-Offs for Self-Adaptation using Markov Processes. IN: 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO). 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO) . IEEE.

Garcia, Noa and Vogiatzis, George (2019). Learning Non-Metric Visual Similarity for Image Retrieval. Image and Vision Computing, 82 , pp. 18-25.

Garg, Deepeka, Chli, Maria and Vogiatzis, George (2019). Traffic3D: A New Traffic Simulation Paradigm. IN: Proceedings of the 2019 International Conference on Autonomous Agents and Multi-Agent Systems. ACM.

Garg, Deepeka, Chli, Maria and Vogiatzis, George (2019). Traffic3d:A rich 3D-traffic environment to train intelligent agents. IN: Computational Science - ICCS 2019 - 19th International Conference, 2019, Proceedings. Dongarra, Jack J.; Rodrigues, João M.F.; Cardoso, Pedro J.S.; Monteiro, Jânio; Lam, Roberto; Krzhizhanovskaya, Valeria V.; Lees, Michael H. and Sloot, Peter M.A. (eds) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer-Verlag Wien.

H

Howell, Roger and Wong, Shun H (2019). Making the Most of Repetitive Mistakes: An Investigation into Heuristics for Selecting and Applying Feedback to Programming Coursework. IN: Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018. Lee, Mark J.W.; Nikolic, Sasha; Wong, Gary K.W.; Shen, Jun; Ros, Montserrat; Lei, Leon C. U. and Venkatarayalu, Neelakantam (eds) 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) . IEEE.

K

Kienzle, Jörg, Mussbacher, Gunter, Combemale, Benoit, Bastin, Lucy, Bencomo, Nelly, Bruel, Jean-Michel, Becker, Christoph, Betz, Stefanie, Chitchyan, Ruzanna, Cheng, Betty, Klingert, Sonja, Paige, Richard F., Penzenstadler, Birgit, Seyff, Norbert, Syriani, Eugene and Venters, Colin (2019). Towards Model-Driven Sustainability Evaluation. Communications of the ACM , (In Press)

L

Li, Wei and Zhuge, Hai (2019). Abstractive Multi-Document Summarization based on Semantic Link Network. IEEE Transactions on Knowledge and Data Engineering ,

M

Matthews, Robert A.J. (2019). Moving Towards the Post p < 0.05 Era via the Analysis of Credibility. American Statistician, 73 (sup1), pp. 202-212.