| Recent Trends in Deep Learning Based Personality Detection Y Mehta, N Majumder, A Gelbukh, E Cambria Artificial Intelligence Review 53, 2313-2339, 2020 | 390 | 2020 |
| 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 | 148 | 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 | 90 | 2020 |
| Multitask learning for emotion and personality detection Y Li, A Kazameini, Y Mehta, E Cambria Neurocomputing, 2022 | 72 | 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 | 57 | 2022 |
| Towards Biologically Plausible Convolutional Networks R Pogodin, Y Mehta, TP Lillicrap, PE Latham Advances in Neural Information Processing Systems (NeurIPS), 2021 | 32 | 2021 |
| On the Stability and Scalability of Node Perturbation Learning N Hiratani, Y Mehta, T Lillicrap, P Latham Advances in Neural Information Processing Systems (NeurIPS), 2022 | 18 | 2022 |
| Model Based Inference of Synaptic Plasticity Rules Y Mehta, D Tyulmankov, AE Rajagopalan, GC Turner, JE Fitzgerald, ... Advances in Neural Information Processing Systems (NeurIPS), 2024 | 4 | 2024 |
| 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 |
| Exploring untrained neural network architectures for modeling higher visual cortex representations Y Mehta, A Kazemian, C Conwell, MF Bonner | | 2024 |
Erik CambriaProfessor of Artificial Intelligence, CCDS, NTU SingaporeVerified email at ntu.edu.sg