All publications
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2019
Texture-Driven Parametric Snakes for Semi-Automatic Image Segmentation (2019), in: Computer Vision and Image Understanding, 188(102793)
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The Good, the Bad, and the Ethical Implications of Bridging Blockchain and Multi-Agent Systems (2019), in: Information (ISSN 2078-2489) | , , , , and ,
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Towards Profile and Domain Modelling in Agent-based Applications for Behavior Change, in: Proc of the 17th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS), pages 16-28, Springer Verlag, 2019 | , , and ,
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Towards Semantic Models for Profiling and Behavior Change in eHealth Applications, in: Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems (SEMANTiCS 2019), CEUR-WS, 2019 | , and ,
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Towards Systematic Testing of Complex Interacting Systems, in: Proceedings of the First Workshop on Systemic Risks in Global Networks co-located with 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), Siegen, Germany, pages 55-63, CEUR Workshop proceedings, 2019 | and ,
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Towards XMAS: eXplainable and trustworthy Multi-Agent Systems, 2019 | , , and ,
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Transforming Communication Channels to the Co-Creation and Diffusion of Intangible Heritage in Smart Tourism Destination (2019), in: Sustainability, 11:14(3348) | , , and ,
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Trust in Tourism via Blockchain Technology: Results from a Systematic Review, 2019 | , , , and ,
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Using Mobility Profiles for Synthetic Population Generation, in: Social Simulation Conference (SSC), Mainz, Springer, 2019 | and ,
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Video-based Prediction of Hand-grasp Preshaping with Application to Prosthesis Control, in: 2019 International Conference on Robotics and Automation (ICRA), Montreal, Quebec, Canada, pages 4975 - 4982, IEEE, 2019 | , , , and ,
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Visualizing and interpreting feature reuse of pretrained CNNs for histopathology, in: IMVIP 2019, Dublin, Ireland, 2019 | , and ,
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VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019, in: CLEF working notes, Lugano, Switzerland, 2019 | , , , , and ,
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Which Lobby Won the Vote? Visualizing Influence of Interest Groups in Swiss Parliament, in: Electronic {{Government}}, pages 155-167, {Springer International Publishing}, 2019 | and ,
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Who is buying EVs in Switzerland and who could be next? Insights and policy lessons from SHEDS panel data, 2019 | , , and ,
2018
(18F)-FDG PET/CT parameters to predict survival and recurrence in patients with locally advanced cervical cancer treated with chemoradiotherapy (2018), in: Cancer / Radiothérapie, 22:3(229-235) | , , , , , and ,
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A Chatbot engine for personalized health support programmes, in: First Workshop on Chatbot held during the International Conference on Web and Social Media 2018, 2018 | , and ,
A Deep Learning Mechanism for Efficient Information Dissemination in Vehicular Floating Content (2018), in: arXiv | , and ,
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A Deep Learning Strategy for Vehicular Floating Content Management (2018), in: WAIN-PERFORMANCE | , , and ,
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A multi -criteria decision making approach for ranking wheelchair accessible tourism, in: Digital, Innovation, Entrepreneurship & Financing 2018 conference, Lyon, France, 2018 | , , and ,
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A retrieval system for digital pathology for private datasets and scientific literature, in: European Congress of Digital Pathology, Helsinki, Finland, 2018 | , , , , , , and ,
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A Task-sets Generator for Supporting the Analysis of Multi-Agent Systems under General Purpose and Real-Time Conditions, in: In Proceedings of first International Workshop on Real-Time compliant Multi-Agent Systems, 2018 | , , , and ,
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Age-related changes in upper limb motion during typical development (2018), in: PLOS ONE, 13:6(e0198524) | , , , , , , , and ,
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Aide du pilotage décentralisé par prédiction, Editions G d'encre, 2018 | , , and ,
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Aiming with varying degrees of accuracy requirements: Fitt’s Law and associated gaze behaviour in upper limb amputees, in: Urobody conference, Bremen, Germany, 2018 | , , , , , , , , and ,
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An Automatically Generated Texture-based Atlas of the Lungs, in: SPIE Medical Imaging, SPIE, 2018 | , , , , and ,
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An Intelligent Framework for Issue Ticketing System based on Machine Learning, in: 2018 IEEE 22nd International Enterprise Distributed Object Computing Workshop (EDOCW), Stockholm, Sweden, IEEE, 2018 | , and ,
Apparent motion perception in upper limb amputees with phantom sensations: obstacle shunning and obstacle tolerance, in: Hand, Brain and Technology: The Somatosensory System, Monte Verità, Switzerland, 2018 | , , , , , , , , , , and ,
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Apparent motion perception in upper limb amputees with phantom sensations: obstacle shunning and obstacle tolerance, in: Proceedings of the ACNS conference 2018, Melbourne, Australia, 2018 | , , , , , , , , , and ,
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Appunti di economia politica, RCE Multimedia, 2018 | and ,
Are we ready for real-world neuroscience? (2018), in: Journal of Cognitive Neuroscience | , , and ,
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Automated diabetic macular edema (DME) analysis using fine tuning with Inception-Resnet-v2 on OCT images, in: IECBES, Malaysia, 2018 | , , , , and ,
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Automatic prediction of capillarity patterns on Optical Coherence Tomography Angiography images, in: ARVO Annual meeting, Honolulu, HI, USA, 2018 | , , , , , and ,
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Can Agent-Based Computational Economics Mimic Neoclassical Demand Curve?, Conference poster and presentation, presented at "Fifth International Symposium in Computational Economics and Finance", 2018 | , and ,
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Co-création de valeurs partagées pour redynamiser une région de montagne à travers le tourisme nocturne : étude de cas en Suisse romande (2018), in: Journal of Alpine Research | Revue de géographie alpine, 106-1 | 2018 Nuits et montagnes | , and ,
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Co-Utility : Theory and Applications., chapter United We Stand: Exploring the Notion of Cooperation Support System for Business Model Design, pages 167 - 188, Springer, Studies in Systems, Decision and Control, volume 110, 2018 | and ,
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Combining constraint-induced movement therapy and action-observation training in children with unilateral cerebral palsy: a randomized controlled trial (2018), in: BMC Pediatrics, 18:1(250) | , , , , , , , , , , , and ,
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Comment innover "ensemble" ? Diagnostic de l’innovation collaborative., TEDxMartigny - Espace innovation, 2018 | and ,
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Convolutional Neural Networks for identification and classification of optic nerve damage features, in: ARVO Annual meeting, Honolulu, HI, USA, 2018 | , , , , , and ,
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Corticospinal Tract Wiring and Brain Lesion Characteristics in Unilateral Cerebral Palsy: Determinants of Upper Limb Motor and Sensory Function (2018), in: Neural Plasticity, 2018(1--13) | , , , , , and ,
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Creating predictive models for forecasting the accident rate in mountain roads using VANETs, in: International Conference on Information Technology & Systems (ICITS 2018), Esmeralda, Ecuador, Springer, 2018 | and ,
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Data variability as a challenge to improve classification and retrieval in digital pathology, in: MICCAI, Computational Pathology Workshop (COMPAY), Granada (Spain), 2018 | ,
Decision Tree Ensemble vs. N.N. Deep Learning: Efficiency Comparison for a Small Image Dataset, Jakarta, Indonesia, Inproceedings of the 2018 International Workshop on Big Data and Information Security, 2018 | , and ,
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Deep Features and Data Reduction for Classification of SD-OCT Images: Application to Diabetic Macular Edema, in: ICIAS 2018, Kuala Lumpur, Malaysia, 2018 | , , and ,
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Deep learning based retrieval system for gigapixel histopathology cases and open access literature (2018), in: BioArXiv | , , , and ,
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Deep Multimodal Classification of Image Types in Biomedical Journal Figures, in: CLEF 2018, Avignon, France, Springer, 2018 | and ,
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Designing a Classification for User-Authored Annotations in Data Visualization, pages 85-96, 2018 | , , and ,
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Determining the scale of image patches using a deep learning approach, in: IEEE International Symposium on Biomedical Imaging (ISBI), Washington, DC, USA, 2018 | , , , , and ,
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Development of a Deep Convolutional Neural Network to Predict the Grading of Canine Meningiomas from MR images (2018), in: The veterinary journal, 235(90-92) | , , , , and ,
Distributed container-based evaluation platform for private/large datasets, in: ISPDC 2018, Geneva, Switzerland, 2018 | , and ,
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| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-550 | 551-600 | 601-650 | 651-700 | 701-750 | 751-800 | 801-850 | 851-900 | 901-950 | 951-1000 | 1001-1050 | 1051-1100 | 1101-1150 | 1151-1200 | 1201-1250 | 1251-1300 | 1301-1350 | 1351-1400 | 1401-1450 | 1451-1500 | 1501-1550 | 1551-1600 | 1601-1650 | 1651-1700 | 1701-1750 | 1751-1800 | 1801-1850 | 1851-1900 | 1901-1950 | 1951-2000 | 2001-2050 | 2051-2100 | 2101-2150 | 2151-2200 | 2201-2250 | 2251-2300 | 2301-2350 | 2351-2400 | 2401-2450 | 2451-2500 | 2501-2550 | 2551-2600 | 2601-2650 | 2651-2700 | 2701-2750 | 2751-2800 | 2801-2850 | 2851-2874 |