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Abdallah, S., Benetos, E., Gold, N. , Hargreaves, S., Weyde, T. & Wolff, D. (2017). The digital music lab: A big data infrastructure for digital musicology. Journal on Computing and Cultural Heritage, 10(1), 2. doi: 10.1145/2983918
Abdulsalam, M., Ahiska, K. & Aouf, N. ORCID: 0000-0001-9291-4077
A novel UAV-integrated deep network detection and relative position estimation approach for weeds.
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering,
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Geometric Multicut: Shortest Fences for Separating Groups of Objects in the Plane.
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When Do Consumers Prefer Crowdfunded Products?.
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Computational Modeling of Electroencephalography and Functional Magnetic Resonance Imaging Paradigms Indicates a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia.
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Robust Fitting for Generalized Additive Models for Location, Scale and Shape.
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Strain Sensor Based on Embedded Fiber Bragg Grating in Thermoplastic Polyurethane Using the 3D Printing Technology for Improved Sensitivity.
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Cyber Deterrence by Punishment: Role of Different Perceptions.
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Understanding the interplay between social and spatial behaviour.
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CEUR Workshop Proceedings, 2288,
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CEUR Workshop Proceedings, 2536,
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Alharbi, A. S., Halikias, G. ORCID: 0000-0003-1260-1383, Rajarajan, M. & Yamin, M. (2021).
A review of effectiveness of Saudi E-government data security management.
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Highly sensitive temperature-independent FBG-based sensor embedded in thermoplastic polyurethane using 3D printing technology for the measurements of torsion.
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Evaluating the Use of Persuasive Design Cards for Novice Designers.
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Back to optimality: a formal framework to express the dynamics of learning optimal behavior.
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What Have Computational Models Ever Done for Us?: A Case Study in Classical Conditioning.
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A Java simulator of Rescorla and Wagner's prediction error model and configural cue extensions.
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Minimum Cell Connection in Line Segment Arrangements.
International Journal of Computational Geometry & Applications, 27(03),
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Ananda, A., Ngan, K. H. ORCID: 0000-0001-7623-942X, Karabağ, C.
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Classification and Visualisation of Normal and Abnormal Radiographs: a comparison between Eleven Convolutional Neural Network Architectures.
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Andrienko, G. & Andrienko, N. (2015). Visualization Support to Interactive Cluster Analysis. Lecture Notes in Computer Science, 9286, pp. 337-340. doi: 10.1007/978-3-319-23461-8_43
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. (2021).
Constructing Spaces and Times for Tactical Analysis in Football.
IEEE Transactions on Visualization and Computer Graphics, 27(4),
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Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N.
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(So) Big Data and the transformation of the city.
International Journal of Data Science and Analytics,
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Andrienko, G., Andrienko, N., Budziak, G. , Dykes, J., Fuchs, G., Von Landesberger, T. & Weber, H. (2017). Visual Analysis of Pressure in Football. Data Mining and Knowledge Discovery, 31(6), pp. 1793-1839. doi: 10.1007/s10618-017-0513-2
Andrienko, G., Andrienko, N., Budziak, G. , Von Landesberger, T. & Weber, H. (2016). Coordinate transformations for characterization and cluster analysis of spatial configurations in football. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9853, pp. 27-31. doi: 10.1007/978-3-319-46131-1_6
Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N., Cordero Garcia, J. M. , Hecker, D. & Vouros, G. (2022).
Supporting Visual Exploration of Iterative Job Scheduling.
IEEE Computer Graphics and Applications, 42(3),
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Andrienko, G., Andrienko, N., Dykes, J. , Kraak, M. J., Robinson, A. & Schumann, H. (2016). GeoVisual analytics: interactivity, dynamics, and scale. Cartography and Geographic Information Science, 43(1), pp. 1-2. doi: 10.1080/15230406.2016.1095006
Andrienko, G., Andrienko, N., Fuchs, G. & Cordero Garcia, J. M. (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. (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. ORCID: 0000-0002-8574-6295, Andrienko, N.
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Automating and utilising equal-distribution data classification.
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Andrienko, N. & Andrienko, G. (2017). State Transition Graphs for Semantic Analysis of Movement Behaviours. Information Visualization, doi: 10.1177/1473871617692841
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Visual Analytics for Human-Centered Machine Learning.
IEEE Computer Graphics and Applications, 42(1),
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Seeking Patterns of Visual Pattern Discovery for Knowledge Building.
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Analysis of Flight Variability: a Systematic Approach.
IEEE Transactions on Visualization and Computer Graphics, 25(1),
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A theoretical model for pattern discovery in visual analytics.
Visual Informatics,
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Visual Analysis of Place Connectedness by Public Transport.
IEEE Transactions on Intelligent Transportation Systems,
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Dose optimization of adult head computed tomography examination in an academic hospital in Ghana.
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Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives.
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Rethinking digital media use for diasporic political participation: An investigation into journalism advocacy, digital activism, and democratic divides (Dissertation summary).
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Big Data Assurance: An Approach Based on Service-Level Agreements.
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Brain webs for brane webs.
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Open-domain neural conversational agents: The step towards artificial general intelligence.
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Dynamical Analysis of Diversity in Rule-Based Open Source Network Intrusion Detection Systems.
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