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Trinity: A No-Code AI platform for complex spatial datasets.

, , , , , , и . GeoAI@SIGSPATIAL, стр. 33-42. ACM, (2021)

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Indranil Ganguli

Arnab Ganguli

 

Другие публикации лиц с тем же именем

SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets., , , и . SIGSPATIAL/GIS, стр. 61:1-61:4. ACM, (2023)Temporal Embeddings: Scalable Self-Supervised Temporal Representation Learning from Spatiotemporal Data for Multimodal Computer Vision., , и . CoRR, (2024)Machine Learning for Better Models for Predicting Bond Prices., и . CoRR, (2017)Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities., , , и . CoRR, (2019)Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking., , и . CoRR, (2019)Reachability Embeddings: Scalable Self-Supervised Representation Learning from Markovian Trajectories for Geospatial Computer Vision., , и . CoRR, (2021)Conditional Generation of Synthetic Geospatial Images from Pixel-level and Feature-level Inputs., , и . CoRR, (2021)GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images., , и . CoRR, (2019)Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision., , и . CoRR, (2022)Reachability Embeddings: Scalable Self-Supervised Representation Learning from Mobility Trajectories for Multimodal Geospatial Computer Vision., , и . MDM, стр. 44-53. IEEE, (2022)