Todas as publicações sorted by author
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| , and , Attention-driven bias for threat-related stimuli in implicit memory. Preliminary results from the Posner cueing paradigm (2010), in: Polish Psychological Bulletin, 41:4(163--171) |
| , and , Improving the tourism marketing strategies by predicting the behavior of travelers using social media networks, ZHAW, Winterthur, Switzerland, 2017 |
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| , , , and , Mining and Visualizing Social Data to Inform Marketing Decisions, in: Proceedings of the 2016 IEEE 30th International Conference on Advanced Information Networking and Applications, IEEE, Crans-Montana, Switzerland, páginas 66-73, 2016 |
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| , , , , , and , SoDA - Social Media Data Analysis - Poster, in: SwissText 2016, 1st Swiss Text Analystics Conference, Winterthur, Switzerland, June 8th, 2016, ZHAW, Winterthur, Switzerland, 2016 |
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| , , , , , and , Social Media Data analysis and Semantics for Tourism Understanding - Poster, in: {ASE@360}The Eighth ASE International Conference on Social Computing, Stanford, CA, USA, August 18-20, 2015, 2015 |
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| and , High Precision Agriculture: An Application Of Improved Machine-Learning Algorithms, Bern, Switzerland, páginas 103-108, IEEE 2019 6th Swiss Conference on Data Science (SDS), 2019 |
[DOI] [URL] |
| and , Improved Machine Learning Methodology for High Precision Agriculture, Bilbao, Spain, Inproceedings of the 2018 Global Internet of Things Summit (GIoTS), 2018 |
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| , and , 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 |
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| , and , Improved Line Detection in Images using Neural Networks and DTE Subclassifiers, in: 2021 9th European Workshop on Visual Information Processing (EUVIP), IEEE, Paris, France, páginas 1-6, IEEE, 2021 |
[DOI] [URL] |
| , and , Improved and Generalized Vine Line Detection on Aerial Images Using Asymmetrical Neural Networks and ML Subclassifiers, ESANN, Bruges, Belgium (Online), i6doc.com publ., 2021 |
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| , and , Towards Retraining of Machine Learning Algorithms: An Efficiency Analysis Applied to Smart Agriculture, in: 2020 Global Internet of Things Summit (GIoTS), Dublin, Ireland, páginas 1-6, IEEE, 2020 |
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| , , and , A predictive data-driven model for traffic-jams forecasting in smart santader city-scale testbed, in: 2015 {IEEE} Wireless Communications and Networking Conference Workshops, {WCNC} Workshops 2015, New Orleans, LA, USA, March 9-12, 2015, páginas 64--68, 2015 |
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| , , , and , Rice grain recognition for quality analysis using KNIME, 2019 |
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| , and , An Evaluation of the Generalization Capabilities of Machine Learning Models for Vine Line Detection, 2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Gold Coast, Australia, páginas 1-6, IEEE, 2022 |
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| , and , Documenter les « moments heureux » des personnes atteintes de démence Sur l’usage de la photographie par les professionnels des établissements médico-sociaux (2026), in: Réseaux, 4:258(225-254) |
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| and , Enhancing Blockchain Transaction Tracking: A Systematic Review of DLT-Based Financial Systems, in: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (IEEE MetroXRAINE), 2025 |
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| and , AI-Driven Multi-Agent Systems for Automated Regulatory Analysis of Crypto Projects, in: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (IEEE MetroXRAINE), ANCONA, IEEE, 2025 |
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| , and , Blockchain Fraud Detection for Explainable Forensic Investigations, in: Proceedings of DSA ISC 2026, Madrid, Spain, 2026 |
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| , and , Towards Explainable Detection of Money Laundering in Transaction Networks, in: Proceedings of WIRN 2026, Salerno, Italy, 2026 |
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| , and , An Explainable Machine Learning Framework for Detecting Illicit Bitcoin Wallets with Graph Temporal Features, 2025 |
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| , and , A Hybrid Multi-Agent System for Early Scam Detection in Crypto-Assets (2026), in: Applied Sciences - MDPI |
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| , , , , , , , , , , , , , , , , , , , , and , Computational Fluid Dynamics as a tool to predict the air pollution dispersion in a neighborhood– A research project to improve the quality of life in cities, in: Smart City Expo world congress, Barcelone, Spain, 2014 |
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| , , , , , , , , , , , , , , , , , , and , Computational Fluid Dynamics as a tool to predict the air pollution dispersion in a neighbourhood – A research project to improve the quality of life in cities, in: Air pollution, Crete, Greece, 2016 |
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| , Der Duft des Schnees (2014), in: Wildernews, Sommer 2014:68(4-6) |
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| , , and , An Overview of Open Source Deep Learning-Based Libraries for Neuroscience (2023), in: Applied Sciences, 13:9(5472) |
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| , , and , TokenUNet: A new case for transformers integration in efficient and interpretable 3D UNets for brain imaging segmentation (2026), in: PloS one, 21:8(e0354511) |
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| , , , , , and , Behavioral Clusters and Lesion Distributions in Ischemic Stroke, Based on NIHSS Similarity Network (2025), in: Journal of Healthcare Informatics Research(1--36) |
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| , , , , , and , Behavioral Clusters in Ischemic Stroke based on NIHSS Similarity (2023), in: medRxiv(2023--11) |
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| , and , Assessing the Scholarly Impact of ImageCLEF, in: CLEF 2011, Amsterdam, The Netherland, páginas 95-106, 2011 |
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| , and , Building reliable and reusable test collections for image retrieval:The Wikipedia task at ImageCLEF (2012), in: IEEE Multimedia |
| , , , and , The Scholarly Impact of CLEF (2000-2009), in: CLEF Proceedings, Valencia, Spain, Springer, 2013 |
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| , and , Log Analysis to Understand Medical Professionals' Image Searching Behaviour, in: Proceedings of the 24th European Medical Informatics Conference (MIE2012), Pisa, Italy, 2012 |
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| , and , Overview of the Wikipedia Image Retrieval task at ImageCLEF 2011, in: Working Notes for the CLEF 2011 Labs and Workshop, 2011 |
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| , , , , and , The development of attentional control mechanisms in multisensory environments (2021), in: Developmental Cognitive Neuroscience, 48(100930) |
[DOI] [URL] |
| , , , , and , Uncovering the mechanisms of real-world attentional control over the course of primary education (2021), in: Mind, Brain, & Education |
[DOI] [URL] |
, , , , and , The development of attentional control mechanisms in multisensory environments, 2020
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[DOI] [URL] |
, , , and , Towards understanding how we pay attention in naturalistic settings, 2021
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| , , , , and , Towards Translational Incremental Similarity-based Reasoning in Breast Cancer Grading, in: SPIE Medical Imaging, páginas 1-12, 2009 |
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, , , , and , Steer'n'Detect: Fast 2D Template Detection with Accurate Orientation Estimation (2022), in: Bioinformatics, 38:11(3146–3148)
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| , and , Data-Driven Automated Cardiac Health Management with Robust Edge Analytics and De-Risking (2019), in: Sensors, 19:12(2733) |
[DOI] [URL] |
| , and , SRDCNN: Strongly Regularized Deep Convolution Neural Network Architecture for Time-series Sensor Signal Classification Tasks, ACM, 2019 |
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| , , and , Knowledge-driven Analytics and Sensor Signal Processing in Human-centric Applications, 2019 |
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| , , and , Knowledge-Driven Analytics Impacting Human Quality Of Life, ACM, 2018 |
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| , , , , , , , , , and , Multimodal Schizophrenia Detection by Multiclassification Analysis, in: Proceedings of the Iberoamerican Congress on Pattern Recognition 2011, Pucón, Chile, páginas 491-498, 2011 |
, , , and , Mental accounting mechanisms in energy decision-making and behaviour. (2020), in: Nature Energy, 5:10
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[DOI] [URL] |
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| , Siders: Professionell planen und organisieren, RRO, 2015 |
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| and , Petrus nicht im Weihnachtsfieber (2012), in: RRO |
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| and , Wie weiter mit VispWeihnachten (2012), in: RRO |
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