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Abdallah, S., Benetos, E., Gold, N. , Hargreaves, S., Weyde, T. & Wolff, D.view all authors (2017). The digital music lab: A big data infrastructure for digital musicology. Journal on Computing and Cultural Heritage, 10(1), pp. 1-21. doi: 10.1145/2983918

Achichi, M., Cheatham, M., Dragisic, Z. , Euzenat, J., Faria, D., Ferrara, A., Flouris, G., Fundulaki, I., Harrow, I., Ivanova, V., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Kolthoff, K., Kuss, E., Lambrix, P., Leopold, H., Li, H., Meilicke, C., Mohammadi, M., Montanelli, S., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Stuckenschmidt, H., Thiéblin, E., Todorov, K., Trojahn, C. & Zamazal, O.view all authors (2017). Results of the ontology alignment evaluation initiative 2017. CEUR Workshop Proceedings, 2032, pp. 61-113.

Addepalli, S., Weyde, T. ORCID: 0000-0001-8028-9905, Namoano, B. , Oyedeji, O. A., Wang, T., Erkoyuncu, J. A. & Roy, R. ORCID: 0000-0001-5491-7437view all authors (2023). Automation of knowledge extraction for degradation analysis. CIRP Annals, 72(1), pp. 33-36. doi: 10.1016/j.cirp.2023.03.013

Aden, I., Child, C. H. T. ORCID: 0000-0001-5425-2308 & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 (2024). International Classification of Diseases Prediction from MIMIIC-III Clinical Text Using Pre-Trained ClinicalBERT and NLP Deep Learning Models Achieving State of the Art. Big Data and Cognitive Computing, 8(5), article number 47. doi: 10.3390/bdcc8050047

Adilova, L., Kamp, M., Andrienko, G. ORCID: 0000-0002-8574-6295 & Andrienko, N. ORCID: 0000-0003-3313-1560view all authors (2023). Re-interpreting rules interpretability. International Journal of Data Science and Analytics, doi: 10.1007/s41060-023-00398-5

Agibetov, A., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Ondresik, M. , Solimando, A., Banerjee, I., Guerrini, G., Catalano, C. E., Oliveira, J. M., Patane, G., Reis, R. L. & Spagnuolo, M.view all authors (2018). Supporting shared hypothesis testing in the biomedical domain. Journal of Biomedical Semantics, 9(1), article number 9. doi: 10.1186/s13326-018-0177-x

Alam, S. S. & Jianu, R. (2016). Analyzing Eye-Tracking Information in Visualization and Data Space: from Where on the Screen to What on the Screen.. IEEE Transactions on Visualization and Computer Graphics, 23(5), pp. 1492-1505. doi: 10.1109/tvcg.2016.2535340

Albrecht, T., Slabaugh, G. G., Alonso, E. & Al-Arif, M. R.view all authors (2017). Deep Learning for Single-Molecule Science. Nanotechnology, 28(42), article number 423001. doi: 10.1088/1361-6528/aa8334

Alexandrov, S., Sen, A. & Stefanski, B. (2021). D-instantons in Type IIA string theory on Calabi-Yau threefolds. Journal of High Energy Physics, 2021(11), article number 18. doi: 10.1007/jhep11(2021)018

Algergawy, A., Cheatham, M., Faria, D. , Ferrara, A., Fundulaki, I., Harrow, I., Hertling, S., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Karam, N., Khiat, A., Lambrix, P., Li, H., Montanelli, S., Paulheim, H., Pesquita, C., Saveta, T., Schmidt, D., Shvaiko, P., Splendiani, A., Thiéblin, E., Trojahn, C., Vataščinová, J., Zamazal, O. & Zhou, L.view all authors (2018). Results of the ontology alignment evaluation initiative 2018. CEUR Workshop Proceedings, 2288, pp. 76-116.

Algergawy, A., Faria, D., Ferrara, A. , Fundulaki, I., Harrow, I., Hertling, S., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Karam, N., Khiat, A., Lambrix, P., Li, H., Montanelli, S., Paulheim, H., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Thiéblin, E., Trojahn, C., Vataščinová, J., Zamazal, O. & Zhou, L.view all authors (2019). Results of the ontology alignment evaluation initiative 2019. CEUR Workshop Proceedings, 2536, pp. 46-85.

Alghamdi, A., Zhu, J., Yin, G. , Shorfuzzaman, M., Alsufyani, N., Alyami, S. & Biswas, S. ORCID: 0000-0002-6770-9845view all authors (2022). Blockchain Empowered Federated Learning Ecosystem for Securing Consumer IoT Features Analysis. Sensors, 22(18), article number 6786. doi: 10.3390/s22186786

Ali, H., D'Avila Garcez, A.S., Tran, S.N. , Zhou, X. & Iqbal, K.view all authors (2014). Unimodal late fusion for NIST i-vector challenge on speaker detection. Electronics Letters, 50(15), pp. 1098-1100. doi: 10.1049/el.2014.1207

Ali, H., Tran, S. N., Benetos, E. & d'Avila Garcez, A. S.view all authors (2016). Speaker recognition with hybrid features from a deep belief network. Neural Computing and Applications, 29(6), pp. 13-19. doi: 10.1007/s00521-016-2501-7

Alonso, E., Fairbank, M. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2015). Back to optimality: a formal framework to express the dynamics of learning optimal behavior. Adaptive Behavior, 23(4), pp. 206-215. doi: 10.1177/1059712315589355

Alonso, E. ORCID: 0000-0002-3306-695X & Mondragon, E. ORCID: 0000-0003-4180-1261 (2014). What Have Computational Models Ever Done for Us?: A Case Study in Classical Conditioning. International Journal of Artificial Life Research, 4(1), pp. 1-12. doi: 10.4018/ijalr.2014010101

Alonso, E., Mondragon, E. ORCID: 0000-0003-4180-1261 & Fernandez, A. (2012). A Java simulator of Rescorla and Wagner's prediction error model and configural cue extensions. Computer Methods and Programs in Biomedicine, 108(1), pp. 346-355. doi: 10.1016/j.cmpb.2012.02.004

Alonso, E. & Schmajuk, N. (2012). Computational Models of Classical Conditioning guest editors’ introduction. Learning and Behavior, 40(3), pp. 231-240. doi: 10.3758/s13420-012-0081-7

Alt, H., Cabello, S., Giannopoulos, P. ORCID: 0000-0002-6261-1961 & Knauer, C.view all authors (2018). Minimum Cell Connection in Line Segment Arrangements. International Journal of Computational Geometry & Applications, 27(03), pp. 159-176. doi: 10.1142/s0218195917500017

Alvarado, N., McVey, L., Elshehaly, M. ORCID: 0000-0002-5867-6121 , Greenhalgh, J., Dowding, D., Ruddle, R., Gale, C. P., Mamas, M., Doherty, P., West, R., Feltbower, R. & Randell, R.view all authors (2021). Analysis of a Web-Based Dashboard to Support the Use of National Audit Data in Quality Improvement: Realist Evaluation. Journal of Medical Internet Research, 23(11), article number e28854. doi: 10.2196/28854

Alvino, C. V., Unal, G. B., Slabaugh, G. G. , Peny, B. & Fang, T.view all authors (2007). Efficient segmentation based on Eikonal and diffusion equations. International Journal of Computer Mathematics, 84(9), pp. 1309-1324. doi: 10.1080/00207160701324249

Amaya, A., Woolf, C., Devane, N. , Galliers, J. R., Talbot, R., Wilson, S. & Marshall, J.view all authors (2018). Receiving Aphasia Intervention in a Virtual Environment: The Participants’ Perspective. Aphasiology, 32(5), pp. 538-558. doi: 10.1080/02687038.2018.1431831

Amálio, N. & Spanoudakis, G. (2008). From Monitoring Templates to Security Monitoring and Threat Detection. 2008 Second International Conference on Emerging Security Information, Systems and Technologies, 7, pp. 185-192. doi: 10.1109/securware.2008.58

Anderson, C., Copestake, P. & Robinson, L. (2000). A specialist toxicity database (TRACE) is more effective than its larger, commercially available counterparts. Toxicology, 151(1-3), pp. 37-43. doi: 10.1016/s0300-483x(00)00264-x

Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N. ORCID: 0000-0003-3313-1560 & Hecker, D. (2024). Topic modelling for spatial insights: Uncovering space use from movement data. Computers & Graphics, 122, article number 103989. doi: 10.1016/j.cag.2024.103989

Andrienko, N. ORCID: 0000-0002-8574-6295, Andrienko, G. ORCID: 0000-0002-8574-6295, Artikis, A. , Mantenoglou, P. & Rinzivillo, S.view all authors (2024). Human-in-the-Loop: Visual Analytics for Building Models Recognising Behavioural Patterns in Time Series. IEEE Computer Graphics and Applications, 44(3), pp. 14-29. doi: 10.1109/mcg.2024.3379851

Andrienko, N., Andrienko, G. ORCID: 0000-0002-8574-6295 & Shirato, G. (2023). Episodes and Topics in Multivariate Temporal Data. Computer Graphics Forum, 42(6), article number e14926. doi: 10.1111/cgf.14926

Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N. ORCID: 0000-0003-3313-1560, Anzer, G. , Bauer, P., Budziak, G., Fuchs, G., Hecker, D., Weber, H. & Wrobel, S.view all authors (2021). Constructing Spaces and Times for Tactical Analysis in Football. IEEE Transactions on Visualization and Computer Graphics, 27(4), pp. 2280-2297. doi: 10.1109/tvcg.2019.2952129

Andrienko, G., Andrienko, N., Chen, W. , Maciejewski, R. & Zhao, Y.view all authors (2017). Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions. IEEE Transactions on Intelligent Transportation Systems, 18(8), pp. 2232-2249. doi: 10.1109/tits.2017.2683539

Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N., Cordero Garcia, J. M. , Hecker, D. & Vouros, G.view all authors (2022). Supporting Visual Exploration of Iterative Job Scheduling. IEEE Computer Graphics and Applications, 42(3), pp. 74-86. doi: 10.1109/mcg.2022.3163437

Andrienko, G., Andrienko, N. & Fuchs, G. (2016). Understanding movement data quality. Journal of Location Based Services, 10(1), pp. 31-46. doi: 10.1080/17489725.2016.1169322

Andrienko, G., Andrienko, N., Fuchs, G. & Cordero Garcia, J. M.view all authors (2018). Clustering Trajectories by Relevant Parts for Air Traffic Analysis. IEEE Transactions on Visualization and Computer Graphics, 24(1), pp. 34-44. doi: 10.1109/tvcg.2017.2744322

Andrienko, G., Andrienko, N., Fuchs, G. & Wood, J.view all authors (2017). Revealing Patterns and Trends of Mass Mobility through Spatial and Temporal Abstraction of Origin-Destination Movement Data. IEEE Transactions on Visualization and Computer Graphics, 23(9), pp. 2120-2136. doi: 10.1109/tvcg.2016.2616404

Andrienko, G., Andrienko, N., Mladenov, M. , Mock, M. & Pölitz, C.view all authors (2011). Identifying Place Histories from Activity Traces with an Eye to Parameter Impact.. IEEE Transactions on Visualization and Computer Graphics, 18(5), pp. 675-688. doi: 10.1109/tvcg.2011.153

Andrienko, N. & Andrienko, G. (2010). Spatial generalization and aggregation of massive movement data.. IEEE Transactions on Visualization and Computer Graphics, 17(2), pp. 205-219. doi: 10.1109/tvcg.2010.44

Andrienko, N. & Andrienko, G. (2017). State Transition Graphs for Semantic Analysis of Movement Behaviours. Information Visualization, 17(1), pp. 41-65. doi: 10.1177/1473871617692841

Andrienko, N. ORCID: 0000-0003-3313-1560, Andrienko, G. ORCID: 0000-0002-8574-6295, Adilova, L. , Wrobel, S. & Rhyne, T-M.view all authors (2022). Visual Analytics for Human-Centered Machine Learning. IEEE Computer Graphics and Applications, 42(1), pp. 123-133. doi: 10.1109/mcg.2021.3130314

Andrienko, N. ORCID: 0000-0002-8574-6295, Andrienko, G. ORCID: 0000-0002-8574-6295, Chen, S. & Fisher, B.view all authors (2022). Seeking Patterns of Visual Pattern Discovery for Knowledge Building. Computer Graphics Forum, 41(6), pp. 124-148. doi: 10.1111/cgf.14515

Andrienko, N., Andrienko, G. & Fuchs, G. (2014). Analysis of mobility behaviors in geographic and semantic spaces. 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 341-342. doi: 10.1109/vast.2014.7042556

Andrienko, N., Andrienko, G., Fuchs, G. & Jankowski, P.view all authors (2016). Scalable and privacy-respectful interactive discovery of place semantics from human mobility traces. INFORMATION VISUALIZATION, 15(2), pp. 117-153. doi: 10.1177/1473871615581216

Andrienko, N., Andrienko, G., Fuchs, G. & Jankowski, P.view all authors (2015). Visual Analytics Methodology for Scalable and Privacy-Respectful Discovery of Place Semantics from Episodic Mobility Data. Lecture Notes in Computer Science, 9286, pp. 254-258. doi: 10.1007/978-3-319-23461-8_25

Andrienko, N., Andrienko, G., Fuchs, G. , Rinzivillo, S. & Betz, H-D.view all authors (2015). Real Time Detection and Tracking of Spatial Event Clusters. Lecture Notes in Computer Science, 9286, pp. 316-319. doi: 10.1007/978-3-319-23461-8_38

Andrienko, N., Andrienko, G., Fuchs, G. & Stange, H.view all authors (2014). Detecting and tracking dynamic clusters of spatial events. 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 219-220. doi: 10.1109/vast.2014.7042499

Andrienko, N. ORCID: 0000-0003-3313-1560, Andrienko, G. ORCID: 0000-0002-8574-6295, Garcia, J. M. C. & Scarlatti, D.view all authors (2019). Analysis of Flight Variability: a Systematic Approach. IEEE Transactions on Visualization and Computer Graphics, 25(1), pp. 54-64. doi: 10.1109/tvcg.2018.2864811

Andrienko, N. ORCID: 0000-0003-3313-1560, Andrienko, G. ORCID: 0000-0002-8574-6295, Patterson, F. & Stange, H.view all authors (2019). Visual Analysis of Place Connectedness by Public Transport. IEEE Transactions on Intelligent Transportation Systems, 21(8), pp. 3196-3208. doi: 10.1109/tits.2019.2924796

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