Stevan Rudinac | DeepAI

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∙ 07/05/2023

Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters

Multimodal demand forecasting aims at predicting product demand utilizin...

0 Maarten Sukel, et al. ∙

∙ 08/30/2022

PanorAMS: Automatic Annotation for Detecting Objects in Urban Context

Large collections of geo-referenced panoramic images are freely availabl...

1 Inske Groenen, et al. ∙

∙ 05/17/2021

Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings

We propose ArtSAGENet, a novel multimodal architecture that integrates G...

0 Athanasios Efthymiou, et al. ∙

∙ 01/30/2020

Echo Chambers Exist! (But They're Full of Opposing Views)

The theory of echo chambers, which suggests that online political discus...

0 Jonathan Bright, et al. ∙

∙ 09/19/2019

HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities

Multimodal datasets contain an enormous amount of relational information...

52 Devanshu Arya, et al. ∙

∙ 05/07/2019

Interactive Search and Exploration in Online Discussion Forums Using Multimodal Embeddings

In this paper we present a novel interactive multimodal learning system,...

0 Iva Gornishka, et al. ∙

∙ 04/30/2019

Multimodal Classification of Urban Micro-Events

In this paper we seek methods to effectively detect urban micro-events. ...

0 Maarten Sukel, et al. ∙

∙ 04/18/2019

Exquisitor: Interactive Learning at Large

Increasing scale is a dominant trend in today's multimedia collections, ...

0 Björn Þór Jónsson, et al. ∙

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