Randomized non-linear PCA networks M Qaraei, S Abbaasi, K Ghiasi-Shirazi Information Sciences 545, 241-253, 2020 | 31 | 2020 |

Convex surrogates for unbiased loss functions in extreme classification with missing labels M Qaraei, E Schultheis, P Gupta, R Babbar Proceedings of the Web Conference 2021, 3711-3720, 2021 | 21 | 2021 |

Convolutional kernel networks based on a convex combination of cosine kernels MR Mohammadnia-Qaraei, R Monsefi, K Ghiasi-Shirazi Pattern Recognition Letters 116, 127-134, 2018 | 14 | 2018 |

Explainable publication year prediction of eighteenth century texts with the BERT model I Rastas, YC Ryan, I Tiihonen, M Qaraei, L Repo, R Babbar, E Mäkelä, ... Proceedings of the 3rd Workshop on Computational Approaches to Historical …, 2022 | 11 | 2022 |

Adversarial examples for extreme multilabel text classification M Qaraei, R Babbar Machine Learning 111 (12), 4539-4563, 2022 | 4 | 2022 |

Unbiased loss functions for extreme classification with missing labels E Schultheis, M Qaraei, P Gupta, R Babbar arXiv preprint arXiv:2007.00237, 2020 | 4 | 2020 |

Why state-of-the-art deep learning barely works as good as a linear classifier in extreme multi-label text classification M Qaraei, S Khandagale, R Babbar European Symposium on Artificial Neural Networks, Computational Intelligence …, 2020 | 2 | 2020 |

Neural Generalization of Multiple Kernel Learning AN Ghanizadeh, K Ghiasi-Shirazi, R Monsefi, M Qaraei Neural Processing Letters 56 (1), 12, 2024 | | 2024 |

Meta-classifier free negative sampling for extreme multilabel classification M Qaraei, R Babbar Machine Learning 113 (2), 675-697, 2024 | | 2024 |

Explainable Publication Year Prediction of Eighteenth I Rastas, YC Ryan, I Tiihonen, M Qaraei, L Repo, R Babbar, E Mäkelä, ... Proceedings of the 3rd Workshop on Computational Approaches to Historical …, 0 | | |