Gabriele Lagani

29 papers B 1C 1Journal 17Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neuro-Inspired Visual Pattern Recognition via Biological Reservoir Computing.
CoRR
Luca Ciampi, Ludovico Iannello, Fabrizio Tonelli, Gabriele Lagani, Angelo Di Garbo, Federico Cremisi, Giuseppe Amato
2025 J jnl
CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge.
CoRR
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2025 J jnl
Comparison of Different Deep Neural Network Models in the Cultural Heritage Domain.
CoRR
Teodor Boyadzhiev, Gabriele Lagani, Luca Ciampi, Giuseppe Amato, Krassimira Ivanova
2025 — conf
From Neural Activity to Computation: Biological Reservoirs for Pattern Recognition in Digit Classification.
ICCVW
Ludovico Iannello, Luca Ciampi, Fabrizio Tonelli, Gabriele Lagani, Lucio Maria Calcagnile, Federico Cremisi, Angelo Di Garbo, Giuseppe Amato
2025 J jnl
From Neural Activity to Computation: Biological Reservoirs for Pattern Recognition in Digit Classification.
CoRR
Ludovico Iannello, Luca Ciampi, Fabrizio Tonelli, Gabriele Lagani, Lucio Maria Calcagnile, Federico Cremisi, Angelo Di Garbo, Giuseppe Amato
2025 J jnl
From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition.
CoRR
Ludovico Iannello, Luca Ciampi, Gabriele Lagani, Fabrizio Tonelli, Eleonora Crocco, Lucio Maria Calcagnile, Angelo Di Garbo, Federico Cremisi, Giuseppe Amato
2025 J jnl
Semi-Supervised Biomedical Image Segmentation via Diffusion Models and Teacher-Student Co-Training.
CoRR
Luca Ciampi, Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi
2024 — conf
A Biologically-Inspired Approach to Biomedical Image Segmentation.
ECCV Workshops (14)
Luca Ciampi, Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi
2024 J jnl
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging.
CoRR
Luca Ciampi, Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi
2024 — conf
CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge.
ECCV Workshops (11)
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2024 J jnl
Scalable bio-inspired training of Deep Neural Networks with FastHebb.
Neurocomputing
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Hannes Fassold, Giuseppe Amato
2023 — conf
AIMH Lab for a Susteinable Bio-Inspired AI.
Ital-IA
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2023 — conf
Scaling Bio-Inspired Neural Features to Real-World Image Retrieval Problems.
SEBD
Gabriele Lagani
2023 J jnl
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey.
CoRR
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2023 J jnl
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey.
CoRR
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2022 J jnl
Comparing the performance of Hebbian against backpropagation learning using convolutional neural networks.
Neural Comput. Appl.
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2022 C conf
Deep Features for CBIR with Scarce Data using Hebbian Learning.
CBMI
Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2022 J jnl
Deep Features for CBIR with Scarce Data using Hebbian Learning.
CoRR
Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2022 B conf
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level.
SISAP
Gabriele Lagani, Claudio Gennaro, Hannes Fassold, Giuseppe Amato
2022 J jnl
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level.
CoRR
Gabriele Lagani, Claudio Gennaro, Hannes Fassold, Giuseppe Amato
2022 — conf
Recent Advancements on Bio-Inspired Hebbian Learning for Deep Neural Networks.
SEBD
Gabriele Lagani
2021 — conf
Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation.
NER
Gabriele Lagani, Raffaele Mazziotti, Fabrizio Falchi, Claudio Gennaro, Guido Marco Cicchini, Tommaso Pizzorusso, Federico Cremisi, Giuseppe Amato
2021 — conf
Evaluating Hebbian Learning in a Semi-supervised Setting.
LOD
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2021 J jnl
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting.
CoRR
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2021 J jnl
Hebbian semi-supervised learning in a sample efficiency setting.
Neural Networks
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2021 — conf
Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches.
LOD
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2020 J jnl
Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation.
CoRR
Gabriele Lagani, Raffaele Mazziotti, Fabrizio Falchi, Claudio Gennaro, Guido Marco Cicchini, Tommaso Pizzorusso, Federico Cremisi, Giuseppe Amato
2020 J jnl
Training Convolutional Neural Networks With Hebbian Principal Component Analysis.
CoRR
Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro
2019 — conf
Hebbian Learning Meets Deep Convolutional Neural Networks.
ICIAP (1)
Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Gabriele Lagani