Vladan Radosavljevic

Orcid: 0009-0006-9128-1101

According to our database1, Vladan Radosavljevic authored at least 50 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks.
CoRR, 2024

2023
Machine Learning for Streaming Media.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

AdKDD 2023.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
AdKDD 2022.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Multi-Modal Trajectory Prediction of NBA Players.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

AdKDD 2021.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

PodRecs: Workshop on Podcast Recommendations.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019
Homepage personalization at spotify.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks.
CoRR, 2018

2017
Modeling Healthcare Quality via Compact Representations of Electronic Health Records.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Proceedings of the 2017 AdKDD & TargetAd Workshop.
CoRR, 2017

Analyzing Uber's Ride-sharing Economy.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2016
Smartphone App Categorization for Interest Targeting in Advertising Marketplace.
Proceedings of the 25th International Conference on World Wide Web, 2016

Travel the World: Analyzing and Predicting Booking Behavior using E-mail Travel Receipts.
Proceedings of the 25th International Conference on World Wide Web, 2016

Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

TargetAd2016: 2nd International Workshop on Ad Targeting at Scale.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Leveraging Blogging Activity on Tumblr to Infer Demographics and Interests of Users for Advertising Purposes.
Proceedings of the 6th Workshop on 'Making Sense of Microposts' co-located with the 25th International World Wide Web Conference (WWW 2016), 2016

Network-Efficient Distributed Word2vec Training System for Large Vocabularies.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Gaussian Conditional Random Fields for Aggregation of Operational Aerosol Retrievals.
IEEE Geosci. Remote. Sens. Lett., 2015

queryCategorizr: A Large-Scale Semi-Supervised System for Categorization of Web Search Queries.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Search Retargeting using Directed Query Embeddings.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Hate Speech Detection with Comment Embeddings.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Hierarchical Neural Language Models for Joint Representation of Streaming Documents and their Content.
Proceedings of the 24th International Conference on World Wide Web, 2015

Large-scale Contextual Query-to-Ad Matching and Retrieval System for Sponsored Search: (Abstract).
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Context- and Content-aware Embeddings for Query Rewriting in Sponsored Search.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

E-commerce in Your Inbox: Product Recommendations at Scale.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Gender and Interest Targeting for Sponsored Post Advertising at Tumblr.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Panning for gold: using variograms to select useful connections in a temporal multigraph setting.
Soc. Netw. Anal. Min., 2014

Neural Gaussian Conditional Random Fields.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Utilizing temporal patterns for estimating uncertainty in interpretable early decision making.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Hidden Conditional Random Fields with Deep User Embeddings for Ad Targeting.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Non-Linear Label Ranking for Large-Scale Prediction of Long-Term User Interests.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Early Diagnosis and Its Benefits in Sepsis Blood Purification Treatment.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

Extraction of Interpretable Multivariate Patterns for Early Diagnostics.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Which links should I use?: a variogram-based selection of relationship measures for prediction of node attributes in temporal multigraphs.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Multi-dimensional coherence deblending of simultaneous sources.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

A data mining approach for optimization of acute inflammation therapy.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2010
A Data-Mining Technique for Aerosol Retrieval Across Multiple Accuracy Measures.
IEEE Geosci. Remote. Sens. Lett., 2010

Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes.
Proceedings of the KDIR 2010, 2010

Continuous Conditional Random Fields for Regression in Remote Sensing.
Proceedings of the ECAI 2010, 2010

2009
Reduction of ground-based sensor sites for spatio-temporal analysis of aerosols.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

2008
Aerosol Optical Depth Prediction from Satellite Obsercations by Multiple Instance Regression.
Proceedings of the SIAM International Conference on Data Mining, 2008

Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy.
Proceedings of the SIAM International Conference on Data Mining, 2008

Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2007
Accelerating of Image Retrieval in CBIR System with Relevance Feedback.
EURASIP J. Adv. Signal Process., 2007


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