Faculty profile
Lorenzo Livi
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Latest papers
Fractal Geometry Meets Computational Intelligence: Future Perspectives.
Advances in neurobiology · 2024 · first author
On Multiscaling of Parkinsonian Rest Tremor Signals and Their Classification.
Advances in neurobiology · 2024 · first author
Transferring chemical and energetic knowledge between molecular systems with machine learning.
Communications chemistry · 2023
Latest funding
- $87,000
Machine learning for graph-structured data: Understanding complex biological systems
NSERC · 2020 · Principal investigator
- $12,500
Machine learning for graph-structured data: Understanding complex biological systems
NSERC · 2020 · Principal investigator
- $190,000
Complex Data
NSERC · 2017 · Principal investigator
8 publications.
Fractal Geometry Meets Computational Intelligence: Future Perspectives.
Livi L, Sadeghian A, Di Ieva A
On Multiscaling of Parkinsonian Rest Tremor Signals and Their Classification.
Livi L
Transferring chemical and energetic knowledge between molecular systems with machine learning.
Heydari S, Raniolo S, Livi L, Limongelli V
Learn to synchronize, synchronize to learn.
Verzelli P, Alippi C, Livi L
Recurrence quantification analysis of dynamic brain networks.
Lopes MA, Zhang J, Krzemiński D, Hamandi K, Chen Q, Livi L, Masuda N
Data-Driven Prediction of Freezing of Gait Events From Stepping Data.
Parakkal Unni M, Menon PP, Livi L, Wilson MR, Young WR, Bronte-Stewart HM, Tsaneva-Atanasova K
Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere.
Verzelli P, Alippi C, Livi L
Deep divergence-based approach to clustering.
Kampffmeyer M, Løkse S, Bianchi FM, Livi L, Salberg AB, Jenssen R
Machine learning for graph-structured data: Understanding complex biological systems
Principal investigators: Livi, Lorenzo
Machine learning for graph-structured data: Understanding complex biological systems
Principal investigators: Livi, Lorenzo
Complex Data
Principal investigators: Livi, Lorenzo
Complex Data
Principal investigators: Livi, Lorenzo
Keywords: complex data machine learning neural networks complex systems graphs biological systems
Complex Data
Principal investigators: Livi, Lorenzo
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
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