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ORCID12th COPA 2023: Limassol, Cyprus
- Harris Papadopoulos, Khuong An Nguyen, Henrik Boström, Lars Carlsson:
Conformal and Probabilistic Prediction with Applications, 13-15 September 2023, Limassol, Cyprus. Proceedings of Machine Learning Research 204, PMLR 2023 - Preface. 1-4
- Kristian van Kuijk, Mark Dirksen, Christof Seiler:
Conformal Regression in Calorie Prediction for Team Jumbo-Visma. 5-15 - Fares Ernez, Alexandre Arnold, Audrey Galametz, Catherine Kobus, Nawal Ould Amer:
Applying the conformal prediction paradigm for the uncertainty quantification of an end-to-end automatic speech recognition model (wav2vec 2.0). 16-35 - Léo Andéol, Thomas Fel, Florence de Grancey, Luca Mossina:
Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling. 36-55 - Rahul Vishwakarma, Jinha Hwang, Soundouss Messoudi, Ava Hedayatipour:
Enterprise Disk Drive Scrubbing Based on Mondrian Conformal Predictors. 56-73 - Alberto García-Galindo, Marcos Lopez-De-Castro, Rubén Armañanzas:
An Uncertainty-Aware Sequential Approach for Predicting Response to Neoadjuvant Therapy in Breast Cancer. 74-88 - Alejandro Cañete:
Market Implied Conformal Volatility Intervals. 89-99 - Simon Althoff, Johan Hallberg Szabadv'ary, Jonathan Anderson, Lars Carlsson:
Evaluation of conformal-based probabilistic forecasting methods for short-term wind speed forecasting. 100-115 - Robert Choudhury, Zhiyuan Luo, Khuong An Nguyen:
Evaluating potential sensitive information leaks on a smartphone using the magnetometer and Conformal Prediction. 116-133 - Sara El Mekkaoui, Carla J. Ferreira, Juan Camilo Guevara Gómez, Christian Agrell, Nicholas James Vaughan, Hans Olav Heggen:
Neural Networks based Conformal Prediction for Pipeline Structural Response. 134-146 - Nasir Uddin, Tuwe Löfström:
Applications of Conformal Regression on Real-world Industrial Use Cases using Crepes and MAPIE. 147-165 - Alejandro Cañete:
Online NoVaS Conformal Volatility Prediction. 166-168 - Tien-Dung Pham, Uwe Aickelin, Robert Bassett:
Capturing prediction uncertainty in upstream cell culture models using conformal prediction and Gaussian processes. 169-171 - Rahul Vishwakarma, Mahshid Fardadi, Bing Liu:
Variable Sparing of Disk Drives Based on Failure Analysis. 172-174 - Anastasios N. Angelopoulos, Karl Krauth, Stephen Bates, Yixin Wang, Michael I. Jordan:
Recommendation Systems with Distribution-Free Reliability Guarantees. 175-193 - Abdelmouaiz Tebjou, Goran Frehse, Faïcel Chamroukhi:
Data-driven Reachability using Christoffel Functions and Conformal Prediction. 194-213 - Julian Lienen, Caglar Demir, Eyke Hüllermeier:
Conformal Credal Self-Supervised Learning. 214-233 - Come Rodriguez, Vitor Martin Bordini, Sébastien Destercke, Benjamin Quost:
Self Learning using Venn-Abers predictors. 234-250 - Alireza Javanmardi, Yusuf Sale, Paul Hofman, Eyke Hüllermeier:
Conformal Prediction with Partially Labeled Data. 251-266 - Ilia Nouretdinov, James Gammerman:
Conformal Association Rule Mining (CARM): A novel technique for data error detection and probabilistic correction. 267-286 - Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Anomalous Edge Detection in Edge Exchangeable Social Network Models. 287-310 - Sofiane Ennadir, Amr Alkhatib, Henrik Boström, Michalis Vazirgiannis:
Conformalized Adversarial Attack Detection for Graph Neural Networks. 311-323 - Drew Prinster, Suchi Saria, Anqi Liu:
Efficient Approximate Predictive Inference Under Feedback Covariate Shift with Influence Functions. 324-327 - Charalambos Eliades, Harris Papadopoulos:
A Conformal Martingales Ensemble Approach for addressing Concept Drift. 328-346 - Vladimir Vovk:
The power of forgetting in statistical hypothesis testing. 347-366 - Ilia Nouretdinov, Alex Gammerman:
The Venn-ABERS Testing for Change-Point Detection. 367-368 - Yuko Kato, David M. J. Tax, Marco Loog:
A Review of Nonconformity Measures for Conformal Prediction in Regression. 369-383 - Nicolò Colombo:
On training locally adaptive CP. 384-398 - Henrik Boström, Henrik Linusson, Anders Vesterberg:
Mondrian Predictive Systems for Censored Data. 399-412 - Patrizio Giovannotti:
Evaluating Machine Translation Quality with Conformal Predictive Distributions. 413-429 - Vladimir G. Trunov, Vladimir V. V'yugin:
Online aggregation of conformal predictive systems. 430-449 - Amr Alkhatib, Henrik Boström, Sofiane Ennadir, Ulf Johansson:
Approximating Score-based Explanation Techniques Using Conformal Regression. 450-469 - Niharika Gauraha, Henrik Boström:
Investigating the Contribution of Privileged Information in Knowledge Transfer LUPI by Explainable Machine Learning. 470-484 - Sara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli:
CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence. 485-487 - Chhavi Tyagi, Wenge Guo:
Multi-label Classification under Uncertainty: A Tree-based Conformal Prediction Approach. 488-512 - Ulf Johansson, Cecilia Sönströd, Tuwe Löfström, Henrik Boström:
Confidence Classifiers with Guaranteed Accuracy or Precision. 513-533 - Evgueni N. Smirnov:
Coverage vs Acceptance-Error Curves for Conformal Classification Models. 534-545 - Giovanni Cherubin:
How do the performance of a Conformal Predictor and its underlying algorithm relate? 546-548 - Thibault Cordier, Vincent Blot, Louis Lacombe, Thomas Morzadec, Arnaud Capitaine, Nicolas J.-B. Brunel:
Flexible and Systematic Uncertainty Estimation with Conformal Prediction via the MAPIE library. 549-581 - Mouhcine Mendil, Luca Mossina, David Vigouroux:
PUNCC: a Python Library for Predictive Uncertainty Calibration and Conformalization. 582-601 - Tuwe Löfström, Alexander Bondaletov, Artem Ryasik, Henrik Boström, Ulf Johansson:
Tutorial on using Conformal Predictive Systems in KNIME. 602-620 - Yannis Manolopoulos:
Recommendation Systems in Scholarly Publishing. 621-623 - Shai Feldman, Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano:
Conformal Prediction is Robust to Dispersive Label Noise. 624-626
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