| 2021 | Boundary-Based Fairness Constraints in Decision Trees and Random Forests. | Graldin Nanfack, Valentin Delchevalerie, Benot Frnay |
| 2021 | Multi-perspective embedding for non-metric time series classification. | Maximilian Mnch, Simon Heilig, Frank-Michael Schleif |
| 2021 | Fourier-based Video Prediction through Relational Object Motion. | Malte Mosbach, Sven Behnke |
| 2021 | Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices. | Daniel I. Mors, Joaquim de Moura, Jorge Novo, Marcos Ortega |
| 2021 | Validating static call graph-based malware signatures using community detection methods. | Attila Mester, Zaln Bod |
| 2021 | Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors. | Ismael Matino, Stefano Dettori, Valentina Colla, Katharina Rechberger, Nina Kieberger |
| 2021 | A Lightweight Approach for Origin-Destination Matrix Anonymization. | Benoit Matet, Etienne Cme, Angelo Furno, Loc Bonnetain, Latifa Oukhellou, Nour-Eddin El Faouzi |
| 2021 | Context-specific sampling method for contextual explanations. | Manik Madhikermi, Avleen Malhi, Kary Frmling |
| 2021 | Unsupervised Word Representations Learning with Bilinear Convolutional Network on Characters. | Thomas Luka, Laure Soulier, David Picard |
| 2021 | Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis. | Max Lbbering, Maren Pielka, Kajaree Das, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa |
| 2021 | The Coming of Age of Interpretable and Explainable Machine Learning Models. | Paulo Lisboa, Sascha Saralajew, Alfredo Vellido, Thomas Villmann |
| 2021 | Deep Neural Networks for Classification of Riding Patterns: with a focus on explainability. | Milad Leyli-Abadi, Abderrahmane Boubezoul |
| 2021 | NNBMSS: a Novel and Fast Method for Model Structure Selection. | Amaury Lendasse, Kallin Khan, Edward R. Ratner |
| 2021 | Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net models. | John A. Lee, Alyssa Vanginderdeuren, Margerie Huet-Dastarac, Ana Maria Barragn-Montero |
| 2021 | Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling. | Tobias Leemann, Moritz Sackmann, Jrn Thielecke, Ulrich Hofmann |
| 2021 | Anomalous Cluster Detection in Large Networks with Diffusion-Percolation Testing. | Corentin Larroche, Johan Mazel, Stphan Clmenon |
| 2021 | Deep Learning Model for Context-Dependent Survival Analysis. | Raphal Langhendries, Jrme Lacaille |
| 2021 | Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. | Pierre Lambert, John A. Lee, Michel Verleysen, Cyril de Bodt |
| 2021 | Stochastic quartet approach for fast multidimensional scaling. | Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee |
| 2021 | Data-Efficient Training of High-Resolution Images in Medical Domain. | Shruti Kunde, Amey Pandit, Kushagra Mahajan, Monika Sharma, Rekha Singhal, Lovekesh Vig |
| 2021 | Predicting employee attrition with a more effective use of historical events. | Abdel-Rahmen Korichi, Hamamache Kheddouci, Daniel West |
| 2021 | Temperature as a Regularizer for Semantic Segmentation. | Chanho Kim, Won-Sook Lee |
| 2021 | Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression. | Fech Scen Khoo, Dawei Zhu, Michael A. Hedderich, Dietrich Klakow |
| 2021 | Emotional Intensity Level Analysis of Speech Emotional Intensity Estimation. | Megumi Kawase |
| 2021 | Functional Gradient Descent for n-Tuple Regression. | Rafael Fontella Katopodis, Priscila Lima, Felipe M. G. Frana |