| 2021 | JSSPP | A HPC Co-scheduler with Reinforcement Learning. | Abel Souza, Kristiaan Pelckmans, Johan Tordsson |
| 2020 | HPDC | ASA - The Adaptive Scheduling Architecture. | Abel Souza, Kristiaan Pelckmans, Devarshi Ghoshal, Lavanya Ramakrishnan, Johan Tordsson |
| 2019 | COCOON | APTER: Aggregated Prognosis Through Exponential Re-weighting. | Yang Liu, Kristiaan Pelckmans |
| 2010 | ESANN | On the use of a clinical kernel in survival analysis. | Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel |
| 2009 | ESANN | Transductively Learning from Positive Examples Only. | Kristiaan Pelckmans, Johan A. K. Suykens |
| 2009 | ICANN | MINLIP: Efficient Learning of Transformation Models. | Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel |
| 2009 | ICANN | Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes. | Kris De Brabanter, Kristiaan Pelckmans, Jos De Brabanter, Michiel Debruyne, Johan A. K. Suykens, Mia Hubert, Bart De Moor |
| 2009 | IWANN | Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints. | Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel |
| 2008 | ESANN | Survival SVM: a practical scalable algorithm. | Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel |
| 2008 | ICANN | Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation. | Marco Signoretto, Kristiaan Pelckmans, Johan A. K. Suykens |
| 2007 | ESANN | Convex optimization for the design of learning machines. | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
| 2007 | IJCNN | Multi-class kernel logistic regression: a fixed-size implementation. | Peter Karsmakers, Kristiaan Pelckmans, Johan A. K. Suykens |
| 2007 | Interspeech | Fixed-size kernel logistic regression for phoneme classification. | Peter Karsmakers, Kristiaan Pelckmans, Johan A. K. Suykens, Hugo Van hamme |
| 2005 | ICANN | Componentwise Support Vector Machines for Structure Detection. | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
| 2005 | IJCNN | Maximal variation and missing values for componentwise support vector machines. | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor, Jos De Brabanter |
| 2004 | ESANN | Sparse LS-SVMs using additive regularization with a penalized validation criterion. | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
| 2004 | ICONIP | Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs. | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
| 2004 | IJCNN | Regularization constants in LS-SVMs: a fast estimate via convex optimization. | Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor |
| 2002 | ICANN | Robust Cross-Validation Score Function for Non-linear Function Estimation. | Jos De Brabanter, Kristiaan Pelckmans, Johan A. K. Suykens, Joos Vandewalle |