| Recent Trends in Deep Learning Based Personality Detection Y Mehta, N Majumder, A Gelbukh, E Cambria Artificial Intelligence Review 53, 2313-2339, 2019 | 308 | 2019 |
| Bottom-Up and Top-Down: Predicting Personality with Psycholinguistic and Language Model Features Y Mehta, S Fatehi, A Kazameini, C Stachl, E Cambria 2020 IEEE International Conference on Data Mining (ICDM), 1184-1189, 2020 | 117 | 2020 |
| Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles A Kazameini, S Fatehi, Y Mehta, S Eetemadi, E Cambria ACL WiNLP Workshop, 2020 | 69 | 2020 |
| Multitask learning for emotion and personality detection Y Li, A Kazameini, Y Mehta, E Cambria Neurocomputing, 2022 | 49 | 2022 |
| NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy Y Mehta, C White, A Zela, A Krishnakumar, G Zabergja, S Moradian, ... International Conference on Learning Representations (ICLR), 2022 | 39 | 2022 |
| Towards Biologically Plausible Convolutional Networks R Pogodin, Y Mehta, TP Lillicrap, PE Latham Advances in Neural Information Processing Systems (NeurIPS), 2021 | 25 | 2021 |
| On the Stability and Scalability of Node Perturbation Learning N Hiratani, Y Mehta, T Lillicrap, P Latham Neural Information Processing Systems (NeurIPS), 2022 | 4 | 2022 |
| Model Based Inference of Synaptic Plasticity Rules Y Mehta, D Tyulmankov, AE Rajagopalan, GC Turner, JE Fitzgerald, ... bioRxiv, 2023.12. 11.571103, 2023 | 2 | 2023 |
| Future-generation personality prediction from digital footprints Y Mehta, C Stachl, K Markov, JT Yun, BW Schuller Future Generation Computer Systems 136, 2022 | 2 | 2022 |
Erik CambriaProfessor of Computer Science & Engineering, NTU SingaporeVerified email at ntu.edu.sg
