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ORCID10th SDS 2023: Zurich, Switzerland
- 10th IEEE Swiss Conference on Data Science, SDS 2023, Zurich, Switzerland, June 22-23, 2023. IEEE 2023, ISBN 979-8-3503-3875-1
- Alireza Amirshahi, Nicolas Kirsch, Jonathan Reymond, Saleh Baghersalimi:
Predicting Survey Response with Quotation-based Modeling: A Case Study on Favorability towards the United States. 1-8 - Curdin Marxer
, Heiko Rölke, Alex Alfieri, Marc Eric Halatsch:
Case Study: Natural Language Processing (NLP) with Open Data for Drug Repositioning in Glioblastoma Therapy. 9-16 - Andrei Claudiu Roibu, Stanislaw Adaszewski, Torsten Schindler, Stephen M. Smith, Ana I. L. Namburete, Frederik J. Lange:
Brain Ages Derived from Different MRI Modalities are Associated with Distinct Biological Phenotypes. 17-25 - Yiea-Funk Te, Michèle Wieland, Martin Frey, Helmut Grabner:
Mitigating Discriminatory Biases in Success Prediction Models for Venture Capitals. 26-33 - Alfredo Cuzzocrea, Miguel Quebrado, Abderraouf Hafsaoui, Edoardo Serra:
A Graph-Representation-Learning Framework for Supporting Android Malware Identification and Polymorphic Evolution. 34-41 - Laurence Dierickx, Carl-Gustav Linden:
Fine-Tuning Languages: Epistemological Foundations for Ethical AI in Journalism. 42-49 - Markus Vogelbacher, Hicham Bellafkir, Jannis Gottwald, Daniel Schneider, Markus Mühling, Bernd Freisleben:
Deep Learning for Recognizing Bat Species and Bat Behavior in Audio Recordings. 50-57 - Lei Gao, Ling Guan:
A Deep Discriminant Fractional-order Canonical Correlation Analysis For Information Fusion. 58-65 - Lilach Goren Huber, Thomas Palmé, Manuel Arias Chao:
Physics-Informed Machine Learning for Predictive Maintenance: Applied Use-Cases. 66-72 - Paul-Philipp Luley, Jan Milan Deriu, Peng Yan, Gerrit A. Schatte, Thilo Stadelmann:
From Concept to Implementation: The Data-Centric Development Process for AI in Industry. 73-76 - Janik Baumer, Nando Metzger, Elisabeth D. Hafner, Rodrigo Caye Daudt, Jan Dirk Wegner, Konrad Schindler:
Automatic Image Compositing and Snow Segmentation for Alpine Snow Cover Monitoring. 77-84 - Raphael Emberger, Jens Michael Boss, Daniel Baumann, Marko Seric, Shufan Huo, Lukas Tuggener, Emanuela Keller, Thilo Stadelmann:
Video Object Detection for Privacy-Preserving Patient Monitoring in Intensive Care. 85-88 - Deepti Saravanan, Jahnavi Swetha Pothineni, Anasse Bari:
Applying Predictive Analytics to Climate Change: Predicting Temperature Rise Using Human Behavior Alternative Data. 89-96 - Mahmoud Hemila, Heiko Rölke:
Recommendation System for Journals based on ELMo and Deep Learning. 97-103 - Cristovao Freitas Iglesias Jr., Rongchen Guo, Pedro Nucci, Claudio Miceli, Miodrag Bolic:
Automated Extraction of IoT Critical Objects from IoT Storylines, Requirements and User Stories via NLP. 104-107 - Yong Zheng, David Xuejun Wang:
A Comparative Study of Preference Ordering Methods for Multi-Criteria Ranking. 108-111 - Julia Hartmann, Peter Maloca, Cédric Huwyler, Martin Melchior, Susanne Suter:
Comparative Deep Learning Architectures to Detect Tiny Features in Ophthalmic Imaging. 112-119 - Solange Emmenegger, Matthias Egli, Marc Pouly:
Mastering Fencing Techniques with Machine Learning: A Video-Based Classification and Correction System. 120-127 - Simone E. Griesser, Adriana Ricklin, Remo Kälin, Guang Lu:
Assessing polarisation in brand-related comments on three Swiss online media portals with Natural Language Processing. 128-135
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