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Mostrando 1 - 20 resultados de 51 para a busca '(((( _ simple computer code net ) OR ( j dna clamp can newts ))) OR ( j daily commute case now ))*', tempo de busca: 1.49s Refinar Resultados
Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, With Applications to Neural Nets
Tree-based indexing for real-time ConvNet landmark-based visual place recognition

Transactions on computational systems biology XI
25th Annual Computational Neuroscience Meeting: CNS-2016

Confero: an integrated contrast data and gene set platform for computational analysis and biological interpretation of omics data
GPU-FS-kNN: a software tool for fast and scalable kNN computation using GPUs.

GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs
The multi-assumption architecture and testbed (MAAT v1.0): R code for generating ensembles with dynamic model structure and analysis of epistemic uncertainty from multiple sources

Exploring the Connection Between Binary and Spiking Neural Networks
Beginning visual C# 2005 express edition from novice to professional /

Modified Transposition Using TDEA Encryption for FishCoral-PRSA Management System
Implementation and application of functional languages 16th International Workshop, IFL 2004, Lübeck, Germany, september 8-10, 2004 : revised selected papers /

Game On, Science - How Video Game Technology May Help Biologists Tackle Visualization Challenges
Learning Calibrated-Guidance for Object Detection in Aerial Images

A flexible forward simulator for populations subject to selection and demography
CH5M3D: an HTML5 program for creating 3D molecular structures

GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification
Reliable software technologies - Ada-Europe 2008 13th Ada-Europe International Conference on Reliable Software Technologies, Venice, Italy, June 16-20, 2008 : proceedings /

TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks
phraSED-ML: A paraphrased, human-readable adaptation of SED-ML

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