Data Science and Artificial Intelligence

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  • 2022

    An Informatics-Based Approach for Sustainable Management of Factors Affecting the Spread of Infectious Diseases

    Luz, S. & Masoodian, M., 20 Mar 2022, Lecture Notes in Computer Science: IFIP Conference on Human-Computer Interaction. Springer, Vol. 13198. p. 47-57 Chapter 5. (Sense, Feel, Design; vol. 13198).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Open Access
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  • Computational Linguistics and Natural Language Processing

    Luz, S., 28 Jan 2022, The Routledge Handbook of Translation and Methodology. Zanettin, F. & Rundle, C. (eds.). New York: Routledge, p. 373-391 19 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

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  • Logic meets Learning: From Aristotle to Neural Networks

    Belle, V., 1 Jan 2022, Neuro-Symbolic Artificial Intelligence - The State of the Art. Hitzler, P. & Sarker, M. K. (eds.). Amsterdam: IOS Press, p. 78 - 102 25 p. (Frontiers in Artificial Intelligence and Applications; vol. 342).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • 2021

    Proof Mechanization: From Dream to Reality

    Fleuriot, J. D., 24 May 2021, Mathematical Reasoning: The History and Impact of the DReaM Group. Michaelson, G. (ed.). Cham: Springer, p. 87-104 18 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Prediction of Cellular Burden with Host--Circuit Models

    Nikolados, E-M., Weiße, A. Y. & Oyarzún, D. A., 7 Jan 2021, Synthetic Gene Circuits : Methods and Protocols. Menolascina, F. (ed.). New York, NY: Springer, p. 267-291 25 p. (Methods in Molecular Biology; vol. 2229).

    Research output: Chapter in Book/Report/Conference proceedingChapter

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  • 2020

    Common Challenges and Requirements

    Magagna, B., Martin, P., de la Hidalga, A. N., Atkinson, M. & Zhao, Z., 25 Jul 2020, Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges. Zhao, Z. & Hellström, M. (eds.). 1 ed. Cham: Springer, p. 30-57 28 p. (Lecture Notes in Computer Science; vol. 12003)(Information Systems and Applications, incl. Internet/Web, and HCI; vol. 12003).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Open Access
  • Data Provenance

    Magagna, B., Goldfarb, D., Martin, P., Atkinson, M., Koulouzis, S. & Zhao, Z., 25 Jul 2020, Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges. Zhao, Z. & Hellström, M. (eds.). 1 ed. Cham: Springer, p. 208-225 18 p. (Lecture Notes in Computer Science; vol. 12003)(Information Systems and Applications, incl. Internet/Web, and HCI; vol. 12003).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Open Access
  • Towards Operational Research Infrastructures with FAIR Data and Services

    Zhao, Z., Jeffery, K., Stocker, M., Atkinson, M. & Petzold, A., 25 Jul 2020, Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges. Zhao, Z. & Hellström, M. (eds.). 1 ed. Cham: Springer, p. 360–372 13 p. (Lecture Notes in Computer Science; vol. 12003)(Information Systems and Applications, incl. Internet/Web, and HCI; vol. 12003).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Open Access
  • 2019

    Scaling Spike Detection and Sorting for Next-Generation Electrophysiology

    Hennig, M. H., Hurwitz, C. & Sorbaro, M., 10 May 2019, In Vitro Neuronal Networks: From Culturing Methods to Neuro-Technological Applications. Springer, p. 171-184 14 p. (Advances in Neurobiology; vol. 22).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Gene Regulatory Network Inference: An Introductory Survey

    Huynh-Thu, V. A. & Sanguinetti, G., 2019, Gene Regulatory Networks: Methods and Protocols. Sanguinetti, G. & Huynh-Thu, V. A. (eds.). New York, NY: Springer, p. 1-23 23 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • RKappa: Software for Analyzing Rule-Based Models

    Sorokin, A., Sorokina, O. & Douglas Armstrong, J., 2019, Modeling Biomolecular Site Dynamics: Methods and Protocols. Hlavacek, W. S. (ed.). New York, NY: Springer, p. 363-390 28 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Tree-Based Learning of Regulatory Network Topologies and Dynamics with Jump3

    Huynh-Thu, V. A. & Sanguinetti, G., 2019, Gene Regulatory Networks: Methods and Protocols. Sanguinetti, G. & Huynh-Thu, V. A. (eds.). New York, NY: Springer, p. 217-233 17 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Using BRIE to Detect and Analyze Splicing Isoforms in scRNA-Seq Data

    Huang, Y. & Sanguinetti, G., 2019, Computational Methods for Single-Cell Data Analysis. Yuan, G-C. (ed.). New York, NY: Springer, p. 175-185 11 p. (Methods in Molecular Biology; vol. 1935).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • 2018

    Faithful Inversion of Generative Models for Effective Amortized Inference

    Webb, S., Golinski, A., Zinkov, R., Siddharth, N., Rainforth, T., Teh, Y. W. & Wood, F., 8 Dec 2018, Advances in Neural Information Processing Systems 31. Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N. & Garnett, R. (eds.). Curran Associates Inc, p. 3070-3080 11 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Open Access
  • Facilitating Interaction Between Virtual Agents through Negotiation over Ontological Representation

    McNeill, F. & Bundy, A., 1 Nov 2018, Advanced Methodologies and Technologies in Digital Marketing and Entrepreneurship. IGI Global, p. 143-154 12 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • 2017

    A review of no free lunch theorems, and their implications for metaheuristic optimisation

    Joyce, T. & Herrmann, J. M., 10 Oct 2017, (E-pub ahead of print) Studies in Computational Intelligence. Springer, Vol. 744. p. 27-51 25 p. (Studies in Computational Intelligence; vol. 744).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Anticipatory Artificial Intelligence

    Rovatsos, M., 10 Jul 2017, Handbook of Anticipation. R. P. (ed.). Springer, p. 1-33 27 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Restructuring Multimodal Interaction Data for Browsing and Searching

    Luz, S., 1 Jan 2017, Semantic Multimedia Analysis and Processing. CRC Press, p. 87-109 23 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • 2016

    Neural Maps: Their Function and Development

    Bednar, J. & Williams, C. K. I., Nov 2016, From Neuron to Cognition via Computational > Neuroscience. Arbib, M. & Bonaiuto, J. (eds.). MIT Press, p. 409-432 34 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Detecting Artifactual Events in Vital Signs Monitoring Data

    Lal, P., Williams, C. K. I., Georgatzis, K., Hawthorne, C., McMonagle, P., Piper, I. & Shaw, M., Oct 2016, Machine Learning for Healthcare Technologies. Clifton, D. A. (ed.). IET, p. 7-32 26 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • dispel4py: An Agile Framework for Data-Intensive methods using HPC

    Filgueira Vicente, R., Atkinson, M. & Krause, A., 17 Sept 2016, Conquering Big Data Using High Performance Computing. Springer, p. 109-137 29 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Automatic calculation of hydrostatic pressure gradient in patients with head injury: A pilot study

    Moss, L., Shaw, M., Piper, I., Arvind, D. K. & Hawthorne, C., 1 May 2016, Intracranial Pressure and Brain Monitoring XV. 978-3-319-22532-6: Springer, Vol. 122. p. 263-266 4 p. (Acta Neurochirurgica Supplement; vol. 122).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Phonation biomechanics in quantifying parkinson’s disease symptom severity

    Gómez-Vilda, P., Álvarez-Marquina, A., Tsanas, A., Lázaro-Carrascosa, C. A., Rodellar-Biarge, V., Nieto-Llui, V. & Martínez-Olalla, R., 23 Jan 2016, Smart Innovation, Systems and Technologies. Springer, p. 93-102 10 p. (Smart Innovation, Systems and Technologies; vol. 48).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Predicting cognitive load levels from speech data

    Su, J. & Luz, S., 23 Jan 2016, Recent Advances in Nonlinear Speech Processing. Springer, Vol. 48. p. 255-263 9 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • The Fish4Knowledge Virtual World Gallery

    Chen-Burger, Y-H. & Tate, A., 2016, Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data. Fisher, R. B., Chen-Burger, Y-H., Giordano, D., Hardman, L. & Lin, F. P. (eds.). Springer, p. 245-251 7 p. 17. (Intelligent Systems Reference Library; vol. 104).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Open Access
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  • 2015

    Probabilistic Inference and Bayesian Priors in Visual Perception

    Sotiropoulos, G. & Series, P., 2 Nov 2015, Biologically Inspired Computer Vision: Fundamentals and Applications. Wiley-VCH, p. 201-220 20 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Le cerveau est-il une machine Bayésienne

    Translated title of the contribution: Is the brain a machine BayesianSeries, P., 2015, (Accepted/In press) Les méthodes bayésiennes, sciences et épistémologie. Drouet, I. (ed.). 16 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Thinking Saltmarshes

    Martin, U., 2015, What to Think About Machines That Think. Harper Perennial, 1 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • 2014

    From intelligent machines to the human brain

    Series, P. & Sprevak, M., 30 Sept 2014, Philosophy and the Sciences for Everyone. Massimi, M. (ed.). Routledge, p. 86-102 17 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Twelve Big Questions for Research on Social Collective Intelligence

    Anderson, S., Miorandi, D., Carreras, I. & Robertson, D., Aug 2014, Social Collective Intelligence: Combining the Powers of Humans and Machines to Build a Smarter Society. Springer, p. 93-101 9 p. (Computational Social Sciences).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Theoretical neuroscience of self-organized criticality: from formal approaches to realistic models

    Levina, A., Herrmann, J. M. & Geisel, T., 28 Mar 2014, Criticality in Neural Systems. Plenz, D., Niebur, E. & KGaA, W-VCH. V. G. C. (eds.). Weinheim, Germany: Wiley-VCH, p. 417-436 20 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Close observation and description

    Martin, U., 19 Feb 2014, What Should We Be Worried About?: Real Scenarios That Keep Scientists Up at Night. Harper Perennial

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • An Open System for Social Computation

    Robertson, D., Moreau, L., Murray-Rust, D. & O'Hara, K., 2014, DEF YEARBOOK 2014 - Social Networks and Social Machines, Surveillance and Empowerment. O'Hara, K., Nguyen, C. & Haynes, P. (eds.). 19 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Chapter Two - Towards a Systems Level Understanding of the Oxygen Response of Escherichia coli

    Bettenbrock, K., Bai, H., Ederer, M., Green, J., Hellingwerf, K. J., Holcombe, M., Kunz, S., Rolfe, M. D., Sanguinetti, G., Sawodny, O., Sharma, P., Steinsiek, S. & Poole, R. K., 2014, Advances in Microbial Systems Biology. Vol. 64. p. 65 - 114 50 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Model Reduction of Genetic-Metabolic Networks via Time Scale Separation

    Kuntz, J., Oyarzún, D. & Stan, G-B., 2014, A Systems Theoretic Approach to Systems and Synthetic Biology I: Models and System Characterizations. Kulkarni, V. V., Stan, G-B. & Raman, K. (eds.). Dordrecht: Springer, p. 181-210 30 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Robot Learning by Guided Self-Organization

    Martius, G., Der, R. & Herrmann, J. M., 2014, Guided Self-Organization: Inception. Prokopenko, M. (ed.). Berlin, Heidelberg: Springer, p. 223-260 38 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Open Access
  • 2004

    A study of the impact of collaborative tools on the effectiveness of clinical pathology conferences

    Kane, B. & Luz, S., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Masoodian, M., Jones, S. & Rogers, B. (eds.). Springer, p. 656-660 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3101).

    Research output: Chapter in Book/Report/Conference proceedingChapter