User profiles for Maria Teresa Vizzari
Maria Teresa VizzariPostdoctoral researcher, University of Ferrara Verified email at unife.it Cited by 20 |
[PDF][PDF] Tracing eastern wolf origins from whole-genome data in context of extensive hybridization
…, A Benazzo, TJ Wheeldon, MT Vizzari… - Molecular Biology …, 2023 - academic.oup.com
Southeastern Canada is inhabited by an amalgam of hybridizing wolf-like canids, raising
fundamental questions regarding their taxonomy, origins, and timing of hybridization events. …
fundamental questions regarding their taxonomy, origins, and timing of hybridization events. …
Climate and mountains shaped human ancestral genetic lineages
…, A Hovhannisyan, M Parker, V Siska, MT Vizzari… - BioRxiv, 2021 - biorxiv.org
Extensive sequencing of modern and ancient human genomes has revealed that contemporary
populations can be explained as the result of recent mixing of a few distinct ancestral …
populations can be explained as the result of recent mixing of a few distinct ancestral …
[HTML][HTML] Genetic structure and differentiation from early bronze age in the mediterranean island of sicily: Insights from ancient mitochondrial genomes
A Modi, MT Vizzari, G Catalano… - Frontiers in …, 2022 - frontiersin.org
Sicily is one of the main islands of the Mediterranean Sea, and it is characterized by a variety
of archaeological records, material culture and traditions, reflecting the history of migrations …
of archaeological records, material culture and traditions, reflecting the history of migrations …
Distinguishing among complex evolutionary models using unphased whole‐genome data through random forest approximate Bayesian computation
Inferring past demographic histories is crucial in population genetics, and the amount of
complete genomes now available should in principle facilitate this inference. In practice, …
complete genomes now available should in principle facilitate this inference. In practice, …
[HTML][HTML] A revised model of anatomically modern human expansions out of Africa through a machine learning approximate Bayesian computation approach
There is a wide consensus in considering Africa as the birthplace of anatomically modern
humans (AMH), but the dispersal pattern and the main routes followed by our ancestors to …
humans (AMH), but the dispersal pattern and the main routes followed by our ancestors to …
Supervised Machine Learning and ABC for population genetic inference
MT Vizzari - 2021 - sfera.unife.it
In this PhD dissertation I outline the work that I did over three years, which so far has led to
the publication of two papers in peer-reviewed journals. All of these studies focus on the …
the publication of two papers in peer-reviewed journals. All of these studies focus on the …
A new Approximate Bayesian Computation framework to distinguish among complex evolutionary models using whole-genome data
S Ghirotto, M Teresa Vizzari, F Tassi, G Barbujani… - bioRxiv, 2018 - biorxiv.org
Inferring past demographic histories is crucial in population genetics, and the amount of
complete genomes now available for many species should in principle facilitate this inference. In …
complete genomes now available for many species should in principle facilitate this inference. In …
Photovoltaic pavement and solar road: A review and perspectives
S Li, T Ma, D Wang - Sustainable Energy Technologies and Assessments, 2023 - Elsevier
As an emerging energy harvesting pavement technology, the photovoltaic (PV) pavement,
which combines mature photovoltaic power generation technology with traditional pavement …
which combines mature photovoltaic power generation technology with traditional pavement …
Simulation and experimental study on the energy performance of a pre-fabricated photovoltaic pavement
… The five parameters used in this study include diode thermal voltage V t (V), series and
parallel resistances R se (Ω) and R pa (Ω), photocurrent I pc (A) and reserve saturation diode …
parallel resistances R se (Ω) and R pa (Ω), photocurrent I pc (A) and reserve saturation diode …
Deep learning-based pedestrian trajectory prediction and risk assessment at signalized intersections using trajectory data captured through roadside LiDAR
In recent years, rapid advancements in the Autonomous Vehicles (AVs) industry have
greatly motivated the research and development in pedestrian trajectory prediction and risk …
greatly motivated the research and development in pedestrian trajectory prediction and risk …