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ORCIDRiccardo La Grassa
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2020 – today
- 2022
[j6]Riccardo La Grassa, Ignazio Gallo, Nicola Landro:
σ2R loss: A weighted loss by multiplicative factors using sigmoidal functions. Neurocomputing 470: 217-225 (2022)- [j5]Riccardo La Grassa, Ignazio Gallo, Nicola Landro:
OCmst: One-class novelty detection using convolutional neural network and minimum spanning trees. Pattern Recognit. Lett. 155: 114-120 (2022) - 2021
- [j4]Nicola Landro
, Ignazio Gallo, Riccardo La Grassa:
Combining Optimization Methods Using an Adaptive Meta Optimizer. Algorithms 14(6): 186 (2021) - [j3]Nicola Landro, Ignazio Gallo, Riccardo La Grassa:
Is One Teacher Model Enough to Transfer Knowledge to a Student Model? Algorithms 14(11): 334 (2021) - [j2]Riccardo La Grassa, Ignazio Gallo, Nicola Landro:
Learn class hierarchy using convolutional neural networks. Appl. Intell. 51(10): 6622-6632 (2021) - [j1]Ignazio Gallo, Riccardo La Grassa, Nicola Landro, Mirco Boschetti:
Sentinel 2 Time Series Analysis with 3D Feature Pyramid Network and Time Domain Class Activation Intervals for Crop Mapping. ISPRS Int. J. Geo Inf. 10(7): 483 (2021) - [c9]Riccardo La Grassa, Ignazio Gallo, Nicola Landro:
EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task. CAIP (1) 2021: 393-402 - [c8]Riccardo La Grassa, Ignazio Gallo, Calogero Vetro, Nicola Landro:
Learning to Navigate in the Gaussian Mixture Surface. CAIP (1) 2021: 414-423 - 2020
- [c7]Riccardo La Grassa, Ignazio Gallo, Nicola Landro:
Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data. DICTA 2020: 1-7 - [c6]Ignazio Gallo, Shah Nawaz, Nicola Landro, Riccardo La Grassa:
Visual Word Embedding for Text Classification. ICPR Workshops (6) 2020: 339-352 - [c5]Ignazio Gallo, Gabriele Magistrali, Nicola Landro, Riccardo La Grassa:
Improving the Efficient Neural Architecture Search via Rewarding Modifications. IVCNZ 2020: 1-6 - [c4]Ignazio Gallo, Gianmarco Ria, Nicola Landro, Riccardo La Grassa:
Image and Text fusion for UPMC Food-101 using BERT and CNNs. IVCNZ 2020: 1-6 - [i9]Riccardo La Grassa, Ignazio Gallo, Nicola Landro:
OCmst: One-class Novelty Detection using Convolutional Neural Network and Minimum Spanning Trees. CoRR abs/2003.13524 (2020) - [i8]Riccardo La Grassa, Ignazio Gallo, Nicola Landro:
Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data. CoRR abs/2004.02273 (2020) - [i7]Nicola Landro, Ignazio Gallo, Riccardo La Grassa:
Can a powerful neural network be a teacher for a weaker neural network? CoRR abs/2005.00393 (2020) - [i6]Riccardo La Grassa, Ignazio Gallo, Nicola Landro:
Learn Class Hierarchy using Convolutional Neural Networks. CoRR abs/2005.08622 (2020) - [i5]Riccardo La Grassa, Ignazio Gallo, Nicola Landro:
σ2R Loss: a Weighted Loss by Multiplicative Factors using Sigmoidal Functions. CoRR abs/2009.08796 (2020) - [i4]Nicola Landro, Ignazio Gallo, Riccardo La Grassa:
Mixing ADAM and SGD: a Combined Optimization Method. CoRR abs/2011.08042 (2020)
2010 – 2019
- 2019
- [c3]Riccardo La Grassa, Ignazio Gallo, Alessandro Calefati, Dimitri Ognibene:
Binary Classification Using Pairs of Minimum Spanning Trees or N-Ary Trees. CAIP (2) 2019: 365-376 - [c2]Ignazio Gallo, Shah Nawaz, Alessandro Calefati, Riccardo La Grassa, Nicola Landro:
Picture What You Read. DICTA 2019: 1-7 - [c1]Riccardo La Grassa, Ignazio Gallo, Alessandro Calefati, Dimitri Ognibene:
A Classification Methodology Based on Subspace Graphs Learning. DICTA 2019: 1-8 - [i3]Riccardo La Grassa, Ignazio Gallo, Alessandro Calefati, Dimitri Ognibene:
Binary Classification using Pairs of Minimum Spanning Trees or N-ary Trees. CoRR abs/1906.06090 (2019) - [i2]Riccardo La Grassa, Ignazio Gallo, Alessandro Calefati, Dimitri Ognibene:
A Classification Methodology based on Subspace Graphs Learning. CoRR abs/1909.04078 (2019) - [i1]Ignazio Gallo, Shah Nawaz, Alessandro Calefati, Riccardo La Grassa, Nicola Landro:
Picture What you Read. CoRR abs/1909.05663 (2019)
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