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11th SDS 2024: Zurich, Switzerland
- 11th IEEE Swiss Conference on Data Science, SDS 2024, Zurich, Switzerland, May 30-31, 2024. IEEE 2024, ISBN 979-8-3503-0929-4
- Ruijing Cui, Jianbin Sun, Zituo Li, Bingyu He, Bingfeng Ge, Kewei Yang:
Interventional and Counterfactual Inference with Autoregressive Flow Models. 1-7 - Soosan Beheshti, Mahdi Shamsi, Younes Sadat-Nejad, Miaosen Zhou:
Polynomial Regression Hyperparameter Selection and Analysis using Reconstruction Error Minimization (REM). 8-15 - Edoardo Filippi-Mazzola, Federica Bianchi, Ernst C. Wit:
Analyzing non-linear network effects in the European interbank market. 16-22 - Nathaniel Giesbrecht, Owen A. Hnylycia, Carson K. Leung, Junyi Lu, Thanh Huy Daniel Mai, Fan Jiang, Alfredo Cuzzocrea:
Mining and Forecasting Energy Consumption Based on Weather Data. 23-30 - Athir Mohammed Alsugair, Norah Saleh Alghamdi:
Sentiment Analysis of Arabic Tweets using ARABERT as a fine tuner and feature extractors. 31-36 - Yann Billeter, Philipp Denzel, Ricardo Chavarriaga, Oliver Forster, Frank-Peter Schilling, Stefan Brunner, Carmen Frischknecht-Gruber, Monika Reif, Joanna Weng:
MLOps as Enabler of Trustworthy AI. 37-40 - Antonio Rueda-Toicen, Allan A. Zea:
Estimating Parcel Delivery Day via Quantile Regression. 41-46 - Omnia Mahmoud, Théo Ladune, Matthieu Gendrin:
CAwa-NeRF: Instant Learning of Compression-Aware NeRF Features. 47-54 - Siddharth Dua, Pooja Shah, Eslam G. AbdAllah:
Navigating the Digital Landscape: Enhancing Small and Medium Business's Security through Asset Management and Data Classification. 55-61 - Chao Feng, Jan von der Assen, Alberto Huertas Celdrán, Raffael Mogicato, Adrian Zermin, Vichhay Ok, Gérôme Bovet, Burkhard Stiller:
SecBox: a Lightweight Data Mining Platform for Dynamic and Reproducible Malware Analysis. 62-67 - Martin Surner, Abdelmajid Khelil:
CIML-R: Causally Informed Machine Learning Based on Feature Relevance. 68-75 - Dianhui Wang, Matthew J. Felicetti:
Lightweight Stochastic Configuration Networks. 76-83 - Philipp Denzel, Stefan Brunner, Yann Billeter, Oliver Forster, Carmen Frischknecht-Gruber, Monika Reif, Frank-Peter Schilling, Joanna Weng, Ricardo Chavarriaga, Amin Amini, Marco Repetto, Arman Iranfar:
Towards the Certification of AI-based Systems. 84-91 - Seyed Mohammad Rahimpour, Rouzbeh Goudarzi, Vahid Shahparifard, Seyed Navid Mirpoorian:
Algorithmic Trading Using Technical Indicators and eXtereme Gradient Boosting. 92-98 - Angel C. Hernandez, David Masaryk, Juraj Mecir, Siamak Saliminejad:
Optimal Pricing of Configurable Products using Machine Learning. 99-106 - Sandeep Varma, Shivam, Biswarup Ray, Snigdha Biswas:
Reimagining Enterprise Data Management using Generative Artificial Intelligence. 107-114 - Raphael Brunold, Beat Brändli, Leandro Gregorini, André Glatzl, Alexander van Schie, Michael Burch:
A Deep Learning Approach for Traffic Circle Detection. 115-122 - Andre Chen, Sieu Tran:
Supercharging Document Composition with Generative AI: A Secure, Custom Retrieval-Augmented Generation Approach. 123-130 - Nitheezkant R, Achintya Harsha, Barath S. Narayan, Aamod B. K., Anshul Madurwar, Prashanth Jonna, Madhav Rao:
CNN factored sEMG based Limb Angle Prediction on the Edge - Advancing Model Predictive Control of Robotic Rehabilitative Systems. 131-137 - Peng Yan, Ahmed Abdulkadir, Giulia Aguzzi, Gerrit A. Schatte, Benjamin F. Grewe, Thilo Stadelmann:
Automated process monitoring in injection molding via representation learning and setpoint regression. 138-145 - Rémy Vuagniaux, Simon Narduzzi, Nadim Maamari, L. Andrea Dunbar:
Constrained Zero-Shot Neural Architecture Search on Small Classification Dataset. 146-150 - Jean Pool Pereyra, Sandro Hernández, Luis Terán:
TWITCHCOMM: A Community-Based Recommender System for Twitch Users. 151-158 - Adriana Ricklin, Guang Lu, Dominik Georgi:
Forecasting is all we need: Adapting graph neural network methods for a peer-to-peer sharing economy platform. 159-166 - Sarang Gupta, Niti Jain:
VoucherGPT: A Novel Approach for Personal Email Voucher Management Using Large Language Models. 167-173 - Alvaro Alva, Luis Martinez Moreno, Muneeba Asif, Alvi Ataur Khalil, Mohammad Ashiqur Rahman, Alfredo Cuzzocrea, Hossain Shahriar:
Secured UAV Navigation: A Novel Intrusion Detection System Based on PWM Signal Analysis. 174-180 - Simone E. Griesser:
Measuring semantic polarisation of four Swiss media brands with topic modelling. 181-188 - Corinna Hertweck, Michele Loi, Christoph Heitz:
Group Fairness Refocused: Assessing the Social Impact of ML Systems. 189-196 - Xinyi Zhang, Johanna Sophie Bieri, Manuel Günther:
Biased Binary Attribute Classifiers Ignore the Majority Classes. 197-204 - Lukas Tuggener, Pascal Sager, Yassine Taoudi-Benchekroun, Benjamin F. Grewe, Thilo Stadelmann:
So you want your private LLM at home? A survey and benchmark of methods for efficient GPTs. 205-212 - Jaber Rad, Karthik K. Tennankore, Samina Abidi, Syed Sibte Raza Abidi:
Extracting Decision Paths via Surrogate Modeling for Explainability of Black Box Classifiers. 213-220 - Darin Wijaya, Hendri Murfi, Gianinna Ardaneswari:
Topic-level Sentiment Analysis for User Reviews in Gasoline Subsidy Application. 221-224 - Samuel Tjahjono, Hendri Murfi, Sindy Devila:
Claim Severity Prediction of Workers' Compensation Using Tree and Neural Networks-Based Models. 225-228 - Benjamin Meyer, Thilo Stadelmann, Marcel Lüthi:
ScalaGrad: A Statically Typed Automatic Differentiation Library for Safer Data Science. 229-232 - Natalia Ostapuk, Ljiljana Dolamic, Alain Mermoud, Philippe Cudré-Mauroux:
Leveraging Pre-Trained Extreme Multi-Label Classifiers for Zero-Shot Learning. 233-236 - Stéphane Lecorney, Robin Zweifel, James Taylor:
Review of Web Analytic tools for sustainable design. 237-240 - Julien Schmidt, Dimosthenis Pasadakis, Madan Sathe, Olaf Schenk:
GAMLNet: a graph based framework for the detection of money laundering. 241-245 - Jonas Meirer, Lucas D. Wittwer, Vincent Revol, Tim Heinemann:
DeepBINN: A tailored biologically-informed neural network for robust biomarker identification. 246-249 - Michal Bechny, Giuliana Monachino, Luigi Fiorillo, Julia van der Meer, Markus H. Schmidt, Claudio L. A. Bassetti, Athina Tzovara, Francesca D. Faraci:
Framework for Algorithmic Bias Quantification and its Application to Automated Sleep Scoring. 250-253 - Juan Pablo Carbajal, Jeannette Lippuner, Lars Kamm, Andreas Breitenmoser:
CFD-Based Discharge Curves for Alpine Springs. 254-257 - Manuel Mondal, Julien Audiffren, Ljiljana Dolamic, Gérôme Bovet, Philippe Cudré-Mauroux:
Cleaning Semi-Structured Errors in Open Data Using Large Language Models. 258-261 - Abir Chebbi, Guido Kniesel, Nabil Abdennadher, Giovanna Di Marzo Serugendo, Tewfiq El-Maliki:
Towards enhancing trustworthy data accessibility in the crop commodity sector with LLMs. 262-266 - Mst. Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea:
Towards Analysis and Interpretation of Large Language Models for Arithmetic Reasoning. 267-270
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