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cs.LG2024
CycleBNN: Cyclic Precision Training in Binary Neural Networks
Federico Fontana, Romeo Lanzino, Anxhelo Diko +2
This paper works on Binary Neural Networks (BNNs), a promising avenue for efficient deep learning, offering significant reductions in computational overhead and memory footprint to…
cs.LG2022
Analyzing EEG Data with Machine and Deep Learning: A Benchmark
Danilo Avola, Marco Cascio, Luigi Cinque +4
Nowadays, machine and deep learning techniques are widely used in different areas, ranging from economics to biology. In general, these techniques can be used in two ways: trying t…