| 2024 | ECCV | Giving Each Task what it Needs Leveraging Structured Sparsity for Tailored Multi-Task Learning. | Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki |
| 2023 | IJCNN | Multi-Task Meta Learning: learn how to adapt to unseen tasks. | Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki |
| 2014 | ICASSP | Gradient artifact removal in concurrently acquired EEG data using independent vector analysis. | Partha Pratim Acharjee, Ronald Phlypo, Lei Wu, Vince D. Calhoun, Tlay Adali |
| 2014 | ICASSP | An efficient entropy rate estimator for complex-valued signal processing: Application to ICA. | Gengshen Fu, Ronald Phlypo, Matthew Anderson, Xi-Lin Li, Tlay Adali |
| 2014 | MICCAI | Deriving a Multi-subject Functional-Connectivity Atlas to Inform Connectome Estimation. | Ronald Phlypo, Bertrand Thirion, Gal Varoquaux |
| 2013 | ICASSP | Independent vector analysis, the Kotz distribution, and performance bounds. | Matthew Anderson, Gengshen Fu, Ronald Phlypo, Tlay Adali |
| 2013 | ICASSP | Joint BSS as a natural analysis framework for EEG-hyperscanning. | Jonas Chatel-Goldman, Marco Congedo, Ronald Phlypo |
| 2013 | ICASSP | Adaptive feature split selection for co-training: Application to tire irregular wear classification. | Wei Du, Ronald Phlypo, Tlay Adali |
| 2013 | ICASSP | Algorithms for Markovian source separation by entropy rate minimization. | Gengshen Fu, Ronald Phlypo, Matthew Anderson, Xi-Lin Li, Tlay Adali |
| 2013 | ICASSP | Capturing group variability using IVA: A simulation study and graph-theoretical analysis. | Sai Ma, Ronald Phlypo, Vince D. Calhoun, Tlay Adali |
| 2011 | ICASSP | SVM feature selection for multidimensional EEG data. | Nisrine Jrad, Ronald Phlypo, Marco Congedo |
| 2008 | ICASSP | Model-based sparsity projection pursuit for lattice vector quantization. | Leonardo H. Fonteles, Marc Antonini, Ronald Phlypo |