Sergio Altares-López

On June 20, OpenAlex will host a webinar dedicated to data: ‘Finding, tracking, and analyzing research datasets in OpenAlex’. At the webinar, OpenAlex will cover the work they are doing to index datasets, and Iratxe Puebla from Make Data Count will present on the importance of data citations to understand connections between data and other outputs. Join the webinar on June 20 to hear more about the importance of open infrastructure to evaluate the impact and reach of open data: https://lnkd.in/egTcgu3r #opendata #datametrics

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📣Highly-Cited Papers #Article A Comparative Study of the Method to Rapid Identification of the Mural Pigments by Combining LIBS-Based Dataset and Machine Learning Methods by Duixiong Sun, et al. 👉https://lnkd.in/eF6VAxSn MDPI Northwest Normal University #laserinducedbreakdownspectroscopy #machinelearningmethod #muralpigment #rapididentification This article belongs to the Special Issue Application of Laser-Induced Breakdown Spectroscopy https://lnkd.in/g7pkQKcX

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We're really glad to hear that NASA developed an extension to Croissant for Earth Observation data 🌏 . If you missed our earlier posts, Croissant 🥐 is a framework designed by a group of scientists, including our Head of ML Luis Oala, to describe AI-compatible datasets. Its purpose is to streamline the use of datasets across various machine learning platforms and repositories. By supplying metadata, Croissant 🥐 allows ML platforms to easily access and utilise these datasets, facilitating their integration into model training or assessment with limited coding required. Geo-Croissant 🌏 🥐 will involve developing tools and platforms for converting existing datasets to the Croissant format that could be used directly with ML/deep learning frameworks such as PyTorch, Tensorflow, Keras, and HuggingFace. #croissant #geocroissant #NASA #MLdata Read more in NASA EarthData blog post:

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Introducing MOSAICo: a large-scale resource with millions of high-quality annotations for tasks like Word Sense Disambiguation and Semantic Parsing across five languages! 🌐 Boosting applications in Language Modeling and Machine Translation. #NLPproc #NAACL24

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📢 #HighlyCited 1. Application of Bayesian Neural Network (BNN) for the Prediction of Blast-Induced Ground Vibration https://lnkd.in/gqUa_EMC 2. Seismotectonics, Geomorphology and Paleoseismology of the Doroud Fault, a Source of Seismic Hazard in Zagros https://lnkd.in/gk9C5yXb 3. Cable Force Optimization of Cable-Stayed Bridge Based on Multiobjective Particle Swarm Optimization Algorithm with Mutation Operation and the Influence Matrix https://lnkd.in/gXWwpERk 4. Stress Analysis and Spalling Failure Simulation on Surrounding Rock of Deep Arch Tunnel https://lnkd.in/gxPPWFDh

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The call for papers for the largest European PostgreSQL conference in Athens is in just three weeks - 1 July! That's actually not a lot of time for coming up with an idea, drafting your talk, and submitting it. So, what are you waiting for? https://lnkd.in/euG3e2ZZ #postgresql #postgres #database

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📢 Read our Review paper 📚 Machine Learning Methods in Weather and Climate Applications: A Survey 🔗 https://lnkd.in/gSE_JSPZ 👨‍🔬 by Ms. Liuyi Chen et al. #MachineLearning #weatherprediction

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My Charla from PyCon US talking about the Apache Arrow columnar format is up. PyCon Charlas are in Spanish: https://lnkd.in/d7hYyPU6

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New paper led by Dr. Eloy Peña-Asensio from DART Lab - Polimi: "Statistical equivalence of metrics for meteor dynamical association" Advances in Space Research ElsevierConnect. It evaluates dynamical association of meteors using traditional approaches and Machine Learning metrics. 👉 Link to the paper: https://lnkd.in/dXisrp9Q #DAER #AerospacePoliMi #PoliMi Francesco Topputo, Fabio Ferrari

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📥 Feedback to the openCARP JupyterLab interface 📥  The JupyterLab based interface to openCARP (https://lnkd.in/dnzMCbRA) was already advertised in the previous newsletter. We would like to invite you again to start simulations in openCARP within a few clicks on a remote server. To increase usability, please help us understand what could be improved for you by trying out the interface and answering a short survey: https://lnkd.in/dk-xcpFM

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📢 Original article Sharing-Vol. 23 No. 7 💕 Title: Exploring Implicit Biological Heterogeneity in ASD Diagnosis Using a Multi-Head Attention Graph Neural Network 🤵 Authors: Hyung-Jun Moon, Sung-Bae Cho,* 🔔 Full Text: https://lnkd.in/gtMHteqU 😎Welcome to your reading! #Parkinsons #ParkinsonsDisease #Neurology #BrainHealth #MovementDisorders #Dopamine #NeurodegenerativeDiseases #Healthcare #Research #Awareness #Treatment #SupportGroups #PatientCare #Therapeutics #MentalHealth #Neuroscience #CureParkinsons #BrainMapping #Neurobiology #BrainInjury #NeuroscienceNews #NeuroImaging

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📈 Don't miss this #highlycited #article by Gilberto Gonzalez-Parra Analysis of Delayed Vaccination Regimens: A Mathematical Modeling Approach 🔎 More info: https://lnkd.in/dmSNycJU 📑 This article belongs to the Special Issue Mathematical Modeling for Understanding Viral Infections Within-Host and Between-Host. #epidemiology #openaccess #covid #vaccination #mathematicalmodeling

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#Mathematics #ParticularInterestPaper 🎆 Consistency of Decision in Finite and Numerable Multinomial Models 🎇 https://buff.ly/3zShuZK #stochastic_convergence #decision_theory #estimators #MDPIOpenAccess #ComSciMathMdpi #MathematicsMdpi

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✳️ The Special Issue "#QueueingSystems Models and Their Applications" aims to investigate such models, discuss important research problems and new directions, and promote the use of different analysis methods in various research areas. https://buff.ly/49WexUq #Queueingnetworks; #non-homogeneous #non-identicalservers; #matrix methods #MDPIOpenAccess #ComSciMath_Mdpi

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Faster Analysis & Improved esolution for AAV Aggregate Analysis Exclusive access to online studies with useful information on AAV Aggregate Analysis. https://ow.ly/Osqo50RwaCn

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The Model Openness Framework (MOF) encourages transparency and reproducibility in development and sharing of models based on #openscience principle. An updated MOF paper has been published on arxiv. We invite you to review and provide us feedback on this approach being researched and implemented as effort of the Generative AI Commons at LF AI & Data Foundation. 🔗 https://lnkd.in/eFU-CC2T We’ll be releasing the Model Openness Tool (MOT) at AI_dev Europe (19-20 June) as a way to easily classify and badge models based on their level of openness! 👉 https://lnkd.in/giFijmas #opensource #lfaidata #oss #genai

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