95 citations · 234 across the 18 of their papers we have counts for
4 papers · 1 filter
Adaptive regularization for Lasso models in the context of non-stationary data streams
Ricardo Pio Monti, Christoforos Anagnostopoulos, Giovanni Montana
Large scale, streaming datasets are ubiquitous in modern machine learning. Streaming algorithms must be scalable, amenable to incremental training and robust to the presence of non…
Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization
Romy Lorenz, Ricardo Pio Monti, Adam Hampshire +7
Non-invasive brain stimulation, such as transcranial alternating current stimulation (tACS) provides a powerful tool to directly modulate brain oscillations that mediate complex co…
Text-mining the NeuroSynth corpus using Deep Boltzmann Machines
Ricardo Pio Monti, Romy Lorenz, Robert Leech +2
Large-scale automated meta-analysis of neuroimaging data has recently established itself as an important tool in advancing our understanding of human brain function. This research…
Classifying HCP Task-fMRI Networks Using Heat Kernels
Ai Wern Chung, Emanuele Pesce, Ricardo Pio Monti +1
Network theory provides a principled abstraction of the human brain: reducing a complex system into a simpler representation from which to investigate brain organisation. Recent ad…