2023
Journal Papers
Kerr, J. I., Weibel, R. P., Naegelin, M., Ferrario, A., Schinazi, V. R., La Marca, R., … & von Wangenheim, F. (2023). The effectiveness and user experience of a biofeedback intervention program for stress management supported by virtual reality and mobile technology: a randomized controlled study. BMC Digital Health, 1(1), 42.
Göcking, B., Gloeckler, S., Ferrario, A., Brandi, G., Glässel, A., & Biller-Andorno, N. (2023). A case for preference-sensitive decision timelines to aid shared decision-making in intensive care: need and possible application. Frontiers in Digital Health, 5, 1274717.
Loi, M., Ferrario, A., & Viganò, E. (2023). How much do you trust me? A logico-mathematical analysis of the concept of the intensity of trust. Synthese, 201(6), 186.
Kerr, J.I., Naegelin, M., Benk, M., v. Wangenheim, F., Meins, E., Viganò, E., Ferrario, A. (2023). Investigating employees’ concerns and wishes regarding digital stress management interventions with Value Sensitive Design: Mixed methods study. J Med Internet Res, 25, e4413.
Naegelin, M., Weibel, R. P., Kerr, J. I. , Schinazi, V. R., La Marca, R., von Wangenheim, F., Hoelscher, C., Ferrario, A. (2023). An interpretable machine learning approach to multimodal stress detection in a simulated office environment. Journal of Biomedical Informatics, Volume 139, 104299.
Weibel, R. P., Kerr, J. I., Naegelin, M., Ferrario, A., Schinazi, V., LaMarca, R., Hoelscher, C., Von Wangenheim, F. (2022). Virtual reality-supported biofeedback for stress management: Beneficial effects on heart rate variability and user experience. Computers in Human Behavior, Volume 141, 2023.
Ferrario, A., Gloeckler, S., & Biller-Andorno, N. (2023). AI knows best? Avoiding the traps of paternalism and other pitfalls of AI-based patient preference prediction. Journal of Medical Ethics, 49(3), 185-186.
Conference Contributions
Benk, M., Kerstan, S., Ferrario, A. (2023). You haven’t changed a bit! Initial Findings from a Bibliometric Analysis of Two Decades of Empirical Trust in AI Research. ACM CHI 2023 Workshop on Trust and Reliance in AI-Assisted Tasks (TRAIT’23)
Preprints
Benk, M., Kerstan, S., Wangenheim, F. V., & Ferrario, A. (2023). Two Decades of Empirical Research on Trust in AI: A Bibliometric Analysis and HCI Research Agenda. arXiv preprint arXiv:2309.09828.
Ferrario, A. (2023). Justifying our Credences in the Trustworthiness of AI Systems: A Reliabilistic Approach. Available at SSRN 4524678.
Ferrario, A., Facchini, A., & Termine, A. (2023). Experts or Authorities? The Strange Case of the Presumed Epistemic Superiority of Artificial Intelligence Systems. Available at SSRN 4561425.
2022
Journal Papers
Ferrario A, Gloeckler S, Biller-Andorno N. (2022). Ethics of the algorithmic prediction of goal of care preferences: from theory to practice. Journal of Medical Ethics. Published Online First: 08 November 2022. Doi: 10.1136/jme-2022-108371
Ferrario, A., Loi, M. (2022). The Robustness of Counterfactual Explanations over Time. IEEE Access 10: 82736-82750.
Ferrario, A., Luo, M., Polsinelli, A. J., Moseley, S. A., Mehl, M. R., Yordanova, K., Martin, M., Demiray, B. (2022). Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach. JMIR aging, 5(1), e28333.
Weisberg, S., Schinazi, R. V., Ferrario, A., Newcombe, N. S. (2022). Evaluating the Effects of a Programming Error on a Virtual Environment Measure of Spatial Navigation Behavior. To appear in Journal of Experimental Psychology: Learning, Memory, and Cognition.
Gloeckler, S., Ferrario, A., Biller-Andorno, N. (2022). An Ethical Framework for Incorporating Digital Technology into Advance Directives: Promoting Informed Advance Decision Making in Healthcare. To appear in the Yale Journal of Biology and Medicine.
Biller-Andorno, N., Ferrario, A., Gloeckler, S. (2022). In search of a mission: Artificial Intelligence in clinical ethics. The American Journal of Bioethics 22, 7: 23-25.
Conference Contributions
Benk, M., Weibel, R. P., Feuerriegel S., & Ferrario, A. (2022). “Is It My Turn?”: Assessing Teamwork and Taskwork in Collaborative Immersive Analytics. Proc. ACM Hum.-Comput. Interact. 6, CSCW2, Article 479 (November 2022)
Benk, M., Weibel, R. P., & Ferrario, A. (2022). Creative Uses of AI Systems and their Explanations: A Case Study from Insurance. ACM CHI 2022 Workshop on Human-Centered Explainable AI (HCXAI’22).
Benk, M., Tolmeijer, S., von Wangenheim, F., & Ferrario, A. (2022). The Value of Measuring Trust in AI-A Socio-Technical System Perspective. ACM CHI 2022 Workshop on Trust and Reliance in AI-Human Teams (TRAIT’22).
Ferrario, A., & Loi, M. (2022). How Explainability Contributes to Trust in AI. 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT’22)
Merian, S., Bachmann, P., Meins, E., Natter, M (2022). The Effect of Timely-Disconnected Feedback on Driving Behaviour. Accepted at the Annual European Marketing Academy (EMAC) Conference 2022.
2021
Journal Papers
Stoev, T., Ferrario, A., Demiray, B., et al. Coping with Imbalanced Data in the Automated Detection of Reminiscence from Everyday Life Conversations of Older Adults. To appear on IEEE Access (2021).
Ferrario, A. Design publicity of black box algorithms: a support to the epistemic and ethical justifications of medical AI systems. Journal of Medical Ethics. (2021).
Biller-Andorno, N., Ferrario, A, Joebges, S., et al. AI support for ethical decision-making around resuscitation: proceed with care. Journal of Medical Ethics (2021)
Ferrario, A., Loi, M. Algorithm, Machine Learning and Artificial Intelligence. To appear in the Encyclopedia of Technology & Politics, Edward Elgar Publishing (2021).
Rosés, R., Kadar, C., Malleson (2021), N. A Data-Driven Agent-Based Simulation to Predict Crime Patterns in an Urban Environment. Computers, Environment and Urban Systems, 89, 101660.
2020
Journal Papers
Ferrario, A., Loi, M., Viganò, E. Trust does not need to be human: it is possible to trust medical AI. Journal of Medical Ethics (2020)
Loi, M., Ferrario, A., Viganò, E. Transparency As Design Publicity: Explaining and Justifying Inscrutable Algorithms. Ethics Inf Technol (2020)
Ferrario, A., Demiray, B., Yordanova, K., Luo, M., Martin, M. Social Reminiscence in Older Adults’ Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning. J Med Internet Res 2020;22(9):e19133
Kerr, J., Naegelin, M., Weibel, R. P., Ferrario, A., LaMarca, R., Von Wangenheim, F., Hoelscher, C., Schinazi, V. The effects of acute work stress and appraisal on psychobiological stress responses in a group office environment. Psychoneuroendocrinology 121, (November 2020), 104837
Rosés, R., Kadar, C., Gerritsen, C., & Rouly, C. Simulating Offender Mobility: Modeling Activity Nodes from Large-Scale Human Activity Data. J. Artif. Intell. Res. 68: 541-570 (2020)
Conference Contributions
Ferrario, A., Weibel, R. P., & Feuerriegel, S. (2020). ALEEDSA: Augmented Reality for Interactive Machine Learning. To appear in the Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI’20), Association for Computing Machinery, Honolulu, HI, USA.
Kadar, C., Feuerriegel, S., Noulas, A., & Mascolo, C. Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities, to appear on International AAAI Conference on Web and Social Media (ICWSM 2020)
Preprints
Benk, M., Ferrario, A. Explaining Interpretable Machine Learning: Theory, Methods and Applications, available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3748268
Loi, M., Ferrario, A., Viganò, E. How Much Do You Trust Me? A Logico-Mathematical Analysis of the Concept of the Intensity of Trust, available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3747137
Ferrario, A., Loi, M. A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations, available at https://arxiv.org/abs/2010.04687
Biller-Andorno, N., Ferrario, A., Joebges, S., Krones, T., Massini, F., Barth, P., Arampatzis, G., Krauthammer, M. AI support for ethical decision-making around resuscitation: proceed with care, available at https://doi.org/10.1101/2020.08.17.20171769
Ferrario, A. & Naegelin, M. (2020). The Art of Natural Language Processing: Classical, Modern and Contemporary Approaches to Text Document Classification, available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3547887
2019
Journal Papers
Conference Contributions
Preprints
2018 and previous years.
- 2021
Rosés Brüngger, R., Kadar, C., Malleson, N., A Data-Driven Agent-Based Simulation to Predict Crime Patterns in an Urban Environmen, ELSEVIER – Computers, Environment and Urban Systems Volume 89, September 2021, 101660 .
Fleisch, E., Franz, C., Herrmann, A., Mönninghoff, A., Die digitale Pille: Eine Reise in die Zukunft unseres Gesundheitssystems, Campus Verlag: Frankfurt a.M., Deutschland Presentation by E. Fleisch.
Fleisch, E., Franz, C., Herrmann, A., The Digital Pill: What Everyone Should Know about the Future of Our Healthcare System, Emerald Publishing: Bingley, United Kingdom Presentation by E. Fleisch.
2019Rosés Brüngger, R., Kadar, C., Agent-Based Simulation of Offender Mobility: Modeling Activity Nodes from Large-Scale Human Activity [PDF]
2018Te, F., Predicting the financial growth of small and medium-sized enterprises using web mining, Doctoral thesis. [PDF]
Kadar, C., Pletikosa Cvijikj, I., Mining Large-scale Mobility Data for Long-Term Crime Prediction, EPJ Data Science. [PDF]
Rosés Brüngger, R., Kadar, C., Agent-Based Simulation of Offender Mobility: Integrating Activity Nodes from Location-Based Social Networks, AAMAS. [PDF]
Mueller, D., Revenue growth prediction for small and medium-sized enterprises: A data mining approach for the insurance industry [PDF]
Mueller, D., KMU mit Patenten erzielen mehr Umsatzwachstum, https://dievolkswirtschaft.ch/content/uploads/2018/11/16_Mueller_Meins_DE.pdf. [PDF]
Te, F., Mueller, D., Predicting the Growth of Restaurants using Web data, @ 28th International Scientific Conference on Economic and Social Development. [PDF]
Te, F., Mueller, D., Analysis of Web Data for the Purpose of Predicting SMEs Financial Growth, submitted @ EcoMod 2018, International conference on Economic Modeling . [PDF]
2017Rosés Brüngger, R., An Agent-Based Approach towards Crime Prediction: Evaluating the Potential of Environmental Factors and Human Dynamics to Model Offender Behavior , (Doctoral Symposium paper), EPIA 2017. [PDF]
Rosés Brüngger, R., Kadar, C., Pletikosa Cvijikj, I., Towards simulating criminal offender movement based on insights from human dynamics and location-based social networks, SocInfo 2017. [PDF]
Kadar, C., Rosés Brüngger, R., Pletikosa Cvijikj, I., Measuring ambient population from location-based social networks to describe urban crime, accepted SocInfo 2017. [PDF]
Mueller, D., Te, F., Improving data quality through high precision gender categorization (IEEE Big Data 2017) [PDF]
Mueller, D., Te, F., Predicting Business Performance through Patent Applications (IEEE Big Data 2017) [PDF]
Te, F., Pletikosa Cvijikj, I., Design of a Small and Medium Enterprise Growth Prediction Model Based on Web Mining, Doctoral Consortium Paper @ ICWE 2017, 17th International Conference on Web Engineering. [PDF]
Büchter, D., Kowatsch, T., Brogle, B., Dintheer, A., Wiegand, D., Pletikosa Cvijikj, I., Durrer, D., Schutz, Y., Maass, W., Laimbacher, J., l’Allemand, D., Does a Health Information Technology System developed by Children and their Parents improve Obesity Therapy?, 8th Fribourg Obesity Research Conference (FORC-2015) Abstracts, Obesity Reviews, 18 (Suppl. 1), p. 88. [PDF]
Durrer, D., Kowatsch, T., l’Allemand, D., Büchter, D., Pletikosa Cvijikj, I., Maass, W., Schutz, Y., Mobile Health Information System Tailored for Obesity Prevention and Treatment (PathMate) in Teenagers, 8th Fribourg Obesity Research Conference (FORC-2015) Abstracts, Obesity Reviews, 18 (Suppl. 1), p. 88. [PDF]
2016Rosés Brüngger, R., Kadar, C., Pletikosa Cvijikj, I., Design of an Agent-Based Model to Predict Crime (WIP), SCSC ’16. [PDF]
Mueller, D., Te, F., Pletikosa Cvijikj, I., Towards data driven decision support for financial institutions, CSIT 2016: The 7th International Conference on Computer Science & Information Technology 2016. [PDF]
Mueller, D., Te, F., Pletikosa Cvijikj, I., An e-government service as PaaS application to serve Switzerland’s municipalities (IEEE World Congress on Service), SERVICES 2016: 12th IEEE World Congress on Services. [PDF]
Te, F., Mueller, D., Pletikosa Cvijikj, I., Design of a Small and Medium Enterprise Growth Prediction Model Based on Web Mining (extended abstract), ICBISIM 2016 : 18th International Conference on Business Information Systems and Information Management. [PDF]
Kadar, C., Iria, J., Pletikosa Cvijikj, I., Exploring Foursquare-derived features for crime prediction in New York City, The 5th International Workshop on Urban Computing, held in conjunction with KDD’16 – UrbComp ’16 . [PDF]
Te, F., Kadar, C., Rosés Brüngger, R., Pletikosa Cvijikj, I., Human versus Technology: Comparing the effect of private security patrol and crime prevention information system over the crime level and safety perception, In Proceedings of the 24th European Conference on Information Systems – ECIS ’16. [PDF]
Kadar, C., Te, F., Rosés Brüngger, R., Pletikosa Cvijikj, I., Digital Neighborhood Watch: To share or not to share?, In Proceedings of the 2016 International Conference on Human Computer Interaction – CHI ’16. ACM. [PDF]
2015Kowatsch, T., Büchter, D., Pletikosa Cvijikj, I., Xu, R., Brogle, B., Dintheer, A., Wiegand, D., l’Allemand, D., Maass, W., Design and Preliminary Evaluation of a Mobile Application for Obesity Experts and Children Teams, Obesity Reviews 16 (S1): Poster Abstracts from the 7th Fribourg Obesity Research Conference (FORC-2013) – Pathways from dieting to weight regain, to obesity and to the metabolic syndrome, p. 96. [PDF]
Pletikosa Cvijikj, I., Kadar, C., Ivan, B., Te, F., Prevention or Panic: Design and Evaluation of a Crime Prevention IS, In Proceedings of the 2015 International Conference on Information Systems – ICIS ’15. [PDF]
Kadar, C., Zanni, G., Vogels, T., Pletikosa Cvijikj, I., Towards a Burglary Risk Profiler Using Demographic and Spatial Factors, In Proceedings of the 16th International Conference on Web Information System Engineering – WISE ’15. Springer. [PDF]
Pletikosa Cvijikj, I., Kadar, C., Ivan, B., Te, F., Towards a Crowdsourcing Approach for Crime Prevention, Workshop on Mobile and Situated Crowdsourcing (WMSC ’15), In Adjunct Proceedings of the 2015 International Joint Conference on Pervasive and Ubiquitous Computing – UbiComp ’15 . ACM. [PDF]
2014Pletikosa Cvijikj, I., Michahelles, F., Online Engagement Factors on Facebook Brand Pages, Auto-ID White Paper. [PDF]
Nitti, M., Atzori, L., Pletikosa Cvijikj, I., Network Navigability in the Social Internet of Things, IEEE World Forum on Internet of Things. [PDF]
Kowatsch, T., Maass, W., Pletikosa Cvijikj, I., Xu, R., Büchter, D., Brogle, B., Dintheer, A., Wiegand, D., Durrer, D., Schutz, Y., l’Allemand, D., Design of a Health Information System Enhancing the Performance of Obesity Expert and Children Teams, 22nd European Conference on Information Systems (ECIS) 2014, Tel Aviv, Israel. [PDF]
Pletikosa Cvijikj, I., Kowatsch, T., Büchter, D., Brogle, B., Dintheer, A., Wiegand, D., Durrer, D., l’Allemand, D., Schutz, Y., Maass, W., Health Information System for Obesity Prevention and Treatment of Children and Adolescents, European Conference on Information Systems (2014), Tel Aviv, Israel. [PDF]
Büchter, D., Kowatsch, T., Pletikosa Cvijikj, I., Schutz, Y., l’Allemand, D., Maass, W., Laimbacher, J., A Longitudinal Study Assessing an IT-supported Neurological Feedback in Obesity Intervention for Children and Adolescents’ Emotional Self Control (Poster), Annual Congress of the foederatio Paedo medicorum helveticorum (fPmh), Basel, Switzerland. [PDF]
Xu, R., Pletikosa Cvijikj, I., Kowatsch, T., Michahelles, F., Büchter, D., Brogle, B., Dintheer, A., l’Allemand, D., Maass, W., Tell Me What to Eat – Design and Evaluation of a Mobile Companion Helping Obese Children and their Parents to Plan Nutrition Intake, in: Ambient Intelligence – European Conference, AmI 2014, Eindhoven, The Netherlands, November 11-13, 2014. Revised Selected Papers, E. Aarts, B. de Ruyter, P. Markopoulos, E. van Loenen, R. Wichert, B. Schouten, J. Terken, R. Van Kranenburg, E. Den Ouden and G. O’Hare (eds.), Springer, Berlin, Germany, 2014, pp. 100-113. [PDF]
Büchter, D., Kowatsch, T., Pletikosa Cvijikj, I., Schutz, Y., l’Allemand, D., Maass, W., Laimbacher, J., A Longitudinal Study Assessing an IT-supported Neurological Feedback in Obesity Intervention for Children and Adolescent Emotional Self Control, Swiss Medical Weekly, 144 (Suppl 203), p. 21. [PDF]
Büchter, D., Kowatsch, T., Brogle, B., Dintheer, A., Wiegand, D., Pletikosa Cvijikj, I., Maass, W., l’Allemand, D., Laimbacher, J., Home Support of Obese Children and Adolescents by Means of Health Information Technology System: A Pilot Study for a Psychosomatic Therapy Concept, Swiss Medical Weekly, 144 (Suppl 203), p. 17 ***foederatio Paedo medico rum helveticorum (fPmh) Award of the Annual Congress 2014***. [PDF]
Manole, F., Pletikosa Cvijikj, I., Crime Prediction with Big Data Tools & Algorithms, A Poster at the ETH Zurich Industry Day 2014. [PDF]
Kadar, C., Pletikosa Cvijikj, I., CityWatch: The Personalized Crime Prevention Assistant, In Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia – MUM ’14 (pp. 260-261). ACM. [PDF]
Nitti, M., Atzori, L., Pletikosa Cvijikj, I., Friendship selection in the Social Internet of Things: challenges and possible strategies, Internet of Things Journal, IEEE, vol. PP, no. 99, pp. 1–1, 2014. [PDF]
Pletikosa Cvijikj, I., Fans gewinnen, Marke stärken, Schweizer Versicherung, Juni 2014. [PDF]
2013Pletikosa Cvijikj, I., Michahelles, F., Online Engagement Factors on Facebook Brand Pages, Social Network Analysis and Mining: Volume 3, Issue 4 (2013), Page 843-861. [PDF]
Pletikosa Cvijikj, I., Dubach, E., Michahelles, F., Evaluation Framework for Social Media Brand Presence, Social Network Analysis and Mining: Volume 3, Issue 4 (2013), Page 1325-1349. [PDF]
Pletikosa Cvijikj, I., Michahelles, F., Understanding the User Generated Content and Interactions on a Facebook Brand Page, International Journal of Social and Humanistic Computing 2013 – Vol. 2, No.1/2 pp. 118 – 140. [PDF]
Kowatsch, T., Büchter, D., Pletikosa Cvijikj, I., Xu, R., Brogle, B., Dintheer, A., Wiegand, D., l’Allemand, D., Maass, W., Design and Preliminary Evaluation of a Mobile Application for Obesity Experts and Children Teams, Poster presented at the 7th Fribourg Obesity Research Conference (FORC-2013) – Pathways from Dieting to Weight Regain, to Obesity & to Metabolic Syndrome, Fribourg, Switzerland. [PDF]
2012Pletikosa Cvijikj, I., Michahelles, F., Fleisch, E., Social Media Integration into the GS1 Framework, Auto-ID White Paper. [PDF]
Pletikosa Cvijikj, I., DubachSpiegler, E., Michahelles, F., Evaluation Framework for Social Media Brand Presence, Auto-ID White Paper. [PDF]
Pletikosa Cvijikj, I., Evaluation framework for social media brand presence, Doctoral Dissertation, ETH Zurich. http://dx.doi.org/10.3929/ethz-a-007599194.
2011Pletikosa Cvijikj, I., Dubach, E., Michahelles, F., The Effect of Post Type, Category and Posting Day on User Interaction Level on Facebook, Privacy, Security, Risk and Trust (PASSAT ’11), 2011 IEEE Third International Conference on and 2011 IEEE Third International Conference on Social Computing (SocialCom ’11) , pp.810-813, 9-11 Oct. 2011. . [PDF]
Pletikosa Cvijikj, I., Michahelles, F., Monitoring Trends on Facebook, Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on, pp.895-902, 12-14 Dec. 2011. . [PDF]
Pletikosa Cvijikj, I., Michahelles, F., Understanding Social Media Marketing: A Case Study on Topics, Categories and Sentiment on a Facebook Brand Page, In Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments (MindTrek ’11). ACM, New York, NY, USA, 175-182. . [PDF]
Pletikosa Cvijikj, I., Usability Testing of a Facebook Brand Page, World Usability Day 2011 Slovenia, November 10, Kranj, Slovenia. [PDF]
Pletikosa Cvijikj, I., Michahelles, F., The Toolkit Approach for End-User Participation in the Internet of Things, In: Uckelmann, Dieter; Harrison, Mark; Michahelles, Florian (Eds.) Architecting the Internet of Things, Springer, 1st Edition., 2011, XXX, 356 p. 77 illus., Hardcover, ISBN: 978-3-642-19156-5. [PDF]
Pletikosa Cvijikj, I., Michahelles, F., A Case Study of the Effects of Moderator Posts within a Facebook Brand Page, In: Datta, Anwitaman, Shulman, Stuart, Zheng, Baihua, Lin, Shou-De, Sun, Aixin, Lim, Ee-Peng (eds.) Social Informatics. Lecture Notes in Computer Science, Springer Berlin / Heidelberg, 2011, Volume 6984/2011, 161-170. [PDF]
Kadar, C., Iria, J., Domain adaptation for text categorization by feature labeling, ***Nominated for Best Paper Award and Best Student Paper Award***, In Proceedings of the 33rd European Conference on Information Retrieval – ECIR ’11 (pp. 424-435). Springer-Verlag. [PDF]
Kadar, C., Wiesmann, D., Iria, J., Husemann, D., Lucic, M., Automatic classification of change requests for improved it service quality, In Proceedings of the Annual 2011 SRII Global Conference – SRII ’11 (pp. 430-439). IEEE Computer Society. [PDF]
2010Pletikosa Cvijikj, I., Karpischek, S., Michahelles, F., Facebook Influence on Purchase Decision Making, In “What can the Internet of Things do fot the citizen?” Workshop at The Eighth International Conference on Pervasive Computing (Pervasive 2010), Helsinki, Finland, May 2010. [PDF]
2009Bischoff, K., Firan, C.S., Kadar, C., Nejdl, W., Paiu, R., Automatically identifying tag types, In Proceedings of the 5th International Conference on Advanced Data Mining and Applications – ADMA ’09 (pp. 31-42). Springer-Verlag. [PDF]
