| Kernel spectral clustering and applications R Langone, R Mall, C Alzate, JAK Suykens Unsupervised learning algorithms, 135-161, 2016 | 476* | 2016 |
| Assessment of network module identification across complex diseases S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ... Nature methods 16 (9), 843-852, 2019 | 325* | 2019 |
| The future of sleep health: a data-driven revolution in sleep science and medicine I Perez-Pozuelo, B Zhai, J Palotti, R Mall, M Aupetit, JM Garcia-Gomez, ... NPJ digital medicine 3 (1), 42, 2020 | 263 | 2020 |
| Fasting-Mimicking Diet Is Safe and Reshapes Metabolism and Antitumor Immunity in Patients with Cancer C Vernieri, G Fuca, F Ligorio, V Huber, A Vingiani, F Iannelli, A Raimondi, ... Cancer Discovery 12 (1), 90-107, 2022 | 224 | 2022 |
| DeepSol: A Deep Learning Framework for Sequence-Based Protein Solubility Prediction S Khurana, R Rawi, K Kunji, GY Chuang, H Bensmail, R Mall Bioinformatics, 2018 | 220 | 2018 |
| A metabolic function of FGFR3-TACC3 gene fusions in cancer V Frattini, SM Pagnotta, Tala, JJ Fan, MV Russo, SB Lee, L Garofano, ... Nature 553 (7687), 222-227, 2018 | 188 | 2018 |
| ZBP1-dependent inflammatory cell death, PANoptosis, and cytokine storm disrupt IFN therapeutic efficacy during coronavirus infection R Karki*, SJ Lee*, R Mall, N Pandian, Y Wang, BR Sharma, ... Science Immunology, eabo6294, 2022 | 181 | 2022 |
| NLRP12-PANoptosome activates PANoptosis and pathology in response to heme and PAMPs B Sundaram, N Pandian, R Mall, Y Wang, R Sarkar, HJ Kim, ... Cell 186 (13), 2783-2801. e20, 2023 | 159 | 2023 |
| Discovering cluster dynamics using kernel spectral methods R Langone, R Mall, J Vandewalle, JAK Suykens | 112* | 2014 |
| PaRSnIP: sequence-based protein solubility prediction using gradient boosting machine R Rawi, R Mall, K Kunji, CH Shen, PD Kwong, GY Chuang Bioinformatics 34 (7), 1092-1098, 2018 | 104 | 2018 |
| Benchmark on a large cohort for sleep-wake classification with machine learning techniques J Palotti, R Mall, M Aupetit, M Rueschman, M Singh, A Sathyanarayana, ... NPJ digital medicine 2 (1), 50, 2019 | 97 | 2019 |
| Very Sparse LSSVM Reductions for Large Scale Data R Mall, JAK Suykens IEEE Transactions of Neural Networks and Learning Systems, 2014 | 96 | 2014 |
| An integrated tumor, immune and microbiome atlas of colon cancer J Roelands, PJK Kuppen, EI Ahmed, R Mall, T Masoodi, P Singh, ... Nature medicine 29 (5), 1273-1286, 2023 | 95 | 2023 |
| Kernel spectral clustering for big data networks R Mall, R Langone, JAK Suykens Entropy 15 (5), 1567-1586, 2013 | 86 | 2013 |
| Oncogenic states dictate the prognostic and predictive connotations of intratumoral immune response J Roelands, W Hendrickx, G Zoppoli, R Mall, M Saad, K Halliwill, ... Journal for immunotherapy of cancer 8 (1), 2020 | 76 | 2020 |
| Exploring New Approaches towards the Formability of Mixed-Ion Perovskite by DFT and Machine Learning H Park, R Mall, FH Alharbi, S Sanvito, N Tabet, H Bensmail, F El-Mellouhi Physical Chemistry Chemical Physics, 2018 | 68 | 2018 |
| Multi-class semi-supervised learning based upon kernel spectral clustering S Mehrkanoon, C Alzate, R Mall, R Langone, JAK Suykens IEEE TNNLS, 2014 | 63 | 2014 |
| DeepCrystal: A Deep Learning Framework for Sequence-based Protein Crystallization Prediction A Elbasir, B Moovarkumudalvan, K Kunji, PR Kolatkar, H Bensmail, R Mall Bioinformatics, 2018 | 54 | 2018 |
| Machine learning accelerated recovery of the cubic structure in mixed-cation perovskite thin films A Ali, H Park, R Mall, B Aïssa, S Sanvito, H Bensmail, A Belaidi, ... Chemistry of Materials 32 (7), 2998-3006, 2020 | 53 | 2020 |
| RGBM: regularized gradient boosting machines for identification of the transcriptional regulators of discrete glioma subtypes R Mall, L Cerulo, L Garofano, V Frattini, K Kunji, H Bensmail, TS Sabedot, ... Nucleic acids research 46 (7), e39-e39, 2018 | 51 | 2018 |
Johan SuykensProfessor, KU Leuven在 esat.kuleuven.be 的电子邮件经过验证