Standout Papers

Latent Space Autoregression for Novelty Detection 2019 2026 2021 2023 237
  1. Latent Space Autoregression for Novelty Detection (2019)
    Davide Abati, Angelo Porrello et al. IRIS UNIMORE (University of Modena and Reggio Emilia)

Immediate Impact

48 standout
Sub-graph 1 of 19

Citing Papers

A survey on imbalanced learning: latest research, applications and future directions
2024 Standout
A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations
2024 Standout
2 intermediate papers

Works of Angelo Porrello being referenced

Rethinking Experience Replay: a Bag of Tricks for Continual Learning
2021

Author Peers

Author Last Decade Papers Cites
Angelo Porrello 115 283 14 114 16 373
Yan Cheng 240 185 87 13 416
Faizan Ullah 117 131 2 78 29 379
Tu Dinh Nguyen 113 220 1 41 33 369
Jiayu Sun 109 205 131 14 351
Xin Zeng 30 91 1 126 33 453
Wenqing Chu 234 119 3 40 15 338
Celso Tetsuo Nagase Suzuki 122 140 4 18 23 439
Mohamed Saber 73 134 5 55 28 353
Miguel García-Silvente 240 137 3 11 23 379
Flavio Piccoli 134 115 3 23 20 346

All Works

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Rankless by CCL
2026