Results 1 to 10 of about 914,980 (369)
MEG and EEG data analysis with MNE-Python
Frontiers in Neuroscience, 2013 Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals generated by neuronal activity in the brain. Using these signals to characterize and locate neural activation in the brain is a challenge that requires ...
Alexandre Gramfort +2 more
exaly +2 more sources
Biopython: freely available Python tools for computational molecular biology and bioinformatics [PDF]
Bioinform., 2009 Summary: The Biopython project is a mature open source international collaboration of volunteer developers, providing Python libraries for a wide range of bioinformatics problems. Biopython includes modules for reading and writing different sequence file
Peter Cock +10 more
openalex +2 more sources
PsychoPy—Psychophysics software in Python
Journal of Neuroscience Methods, 2007 Jonathan W. Peirce
exaly +2 more sources
ViperGPT: Visual Inference via Python Execution for Reasoning [PDF]
IEEE International Conference on Computer Vision, 2023 Answering visual queries is a complex task that requires both visual processing and reasoning. End-to-end models, the dominant approach for this task, do not explicitly differentiate between the two, limiting interpretability and generalization. Learning
D'idac Sur'is +2 more
semanticscholar +1 more source
Prediction of Heart Disease using Biomedical Data through Machine Learning Techniques [PDF]
EAI Endorsed Transactions on Pervasive Health and Technology, 2021 INTRODUCTION: Random Forests are an important model in machine learning. They are simple and very effective classification approach. The random forest identifies the most important features of a given problem.
Nagaraj Lutimath +2 more
doaj +1 more source
Facilitating Word Retrieval in Aphasia: Which Type of Cues for Which Aphasic Speakers?
Frontiers in Human Neuroscience, 2021 Background: Even if both phonological and semantic cues can facilitate word retrieval in aphasia, it remains unclear if their respective effectiveness varies according to the underlying anomic profile.Aim: The aim of the present facilitation study is to ...
Grégoire Python +4 more
doaj +1 more source
Image Classification Using Machine Learning Algorithms in Google Earth Engine Environment [PDF]
Informatică economică, 2021 In this paper it is proposed to classify an image using a Machine Learning approach inside the Google Earth Engine platform and Jupyter Notebook: feeding the computer with training data (in our case being points/pixels having a label which represent the ...
Paul TEODORESCU, Simona-Nicoleta VOICU
doaj +1 more source
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 We introduce Stanza, an open-source Python natural language processing toolkit supporting 66 human languages. Compared to existing widely used toolkits, Stanza features a language-agnostic fully neural pipeline for text analysis, including tokenization ...
Peng Qi +4 more
semanticscholar +1 more source
GPAW: An open Python package for electronic structure calculations. [PDF]
Journal of Chemical Physics, 2023 We review the GPAW open-source Python package for electronic structure calculations. GPAW is based on the projector-augmented wave method and can solve the self-consistent density functional theory (DFT) equations using three different wave-function ...
J. Mortensen +46 more
semanticscholar +1 more source
MitoHiFi: a python pipeline for mitochondrial genome assembly from PacBio high fidelity reads
bioRxiv, 2023 Background PacBio high fidelity (HiFi) sequencing reads are both long (15–20 kb) and highly accurate (> Q20). Because of these properties, they have revolutionised genome assembly leading to more accurate and contiguous genomes.
Marcela Uliano-Silva +9 more
semanticscholar +1 more source