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ORCIDErnesto Diaz-Aviles
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2020 – today
- 2021
[c29]Ernesto Diaz-Aviles, Claudia Orellana-Rodriguez, Igor Brigadir
, Reshma Narayanan Kutty:
NU: BRIEF - A Privacy-aware Newsletter Personalization Engine for Publishers. RecSys 2021: 764-767- [i14]Ernesto Diaz-Aviles, Claudia Orellana-Rodriguez, Igor Brigadir, Reshma Narayanan Kutty:
NU: BRIEF - A Privacy-aware Newsletter Personalization Engine for Publishers. CoRR abs/2109.03955 (2021) - [i13]Reshma Narayanan Kutty, Claudia Orellana-Rodriguez, Igor Brigadir, Ernesto Diaz-Aviles:
Personalization, Privacy, and Me. CoRR abs/2109.06990 (2021) - [i12]Ernesto Diaz-Aviles, Claudia Orellana-Rodriguez, Beth Jochim:
The Joy of Neural Painting. CoRR abs/2111.10283 (2021)
2010 – 2019
- 2017
- [c28]John Savage, Akihiro Kishimoto, Beat Buesser, Ernesto Diaz-Aviles, Carlos Alzate:
Chemical Reactant Recommendation Using a Network of Organic Chemistry. RecSys 2017: 210-214 - 2016
- [i11]Lucas Drumond, Ernesto Diaz-Aviles, Lars Schmidt-Thieme:
Multi-Relational Learning at Scale with ADMM. CoRR abs/1604.00647 (2016) - [i10]Avaré Stewart, Sara Romano, Nattiya Kanhabua, Sergio Di Martino, Wolf Siberski, Antonino Mazzeo, Wolfgang Nejdl, Ernesto Diaz-Aviles:
Why is it Difficult to Detect Sudden and Unexpected Epidemic Outbreaks in Twitter? CoRR abs/1611.03426 (2016) - 2015
- [c27]Ernesto Diaz-Aviles, Fabio Pinelli, Karol Lynch, Zubair Nabi, Yiannis Gkoufas, Eric Bouillet, Francesco Calabrese, Eoin Coughlan, Peter Holland, Jason Salzwedel:
Towards real-time customer experience prediction for telecommunication operators. IEEE BigData 2015: 1063-1072 - [c26]Asmelash Teka Hadgu, Aastha Nigam, Ernesto Diaz-Aviles:
Large-scale learning with AdaGrad on Spark. IEEE BigData 2015: 2828-2830 - [c25]Claudia Orellana-Rodriguez, Ernesto Diaz-Aviles, Wolfgang Nejdl:
Mining Affective Context in Short Films for Emotion-Aware Recommendation. HT 2015: 185-194 - [c24]Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale, Yiannis Gkoufas, Bei Chen:
(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories. DC@PKDD/ECML 2015 - [c23]Ujwal Gadiraju, Stefan Dietze, Ernesto Diaz-Aviles:
Ranking Buildings and Mining the Web for Popular Architectural Patterns. WebSci 2015: 8:1-8:10 - [i9]Ernesto Diaz-Aviles, Fabio Pinelli, Karol Lynch, Zubair Nabi, Yiannis Gkoufas, Eric Bouillet, Francesco Calabrese, Eoin Coughlan, Peter Holland, Jason Salzwedel:
Towards Real-time Customer Experience Prediction for Telecommunication Operators. CoRR abs/1508.02884 (2015) - [i8]Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale, Yiannis Gkoufas, Bei Chen:
(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories. CoRR abs/1509.05257 (2015) - 2014
- [c22]Lucas Rêgo Drumond, Ernesto Diaz-Aviles, Lars Schmidt-Thieme, Wolfgang Nejdl:
Optimizing Multi-Relational Factorization Models for Multiple Target Relations. CIKM 2014: 191-200 - [c21]Claudia Orellana-Rodriguez, Wolfgang Nejdl, Ernesto Diaz-Aviles, Ismail Sengör Altingövde:
Learning to rank for joy. WWW (Companion Volume) 2014: 569-570 - [i7]Bernat Coma-Puig, Ernesto Diaz-Aviles, Wolfgang Nejdl:
Collaborative Filtering Ensemble for Personalized Name Recommendation. CoRR abs/1407.4832 (2014) - [i6]Ernesto Diaz-Aviles, Hoang Thanh Lam, Fabio Pinelli, Stefano Braghin, Yiannis Gkoufas, Michele Berlingerio, Francesco Calabrese:
Predicting User Engagement in Twitter with Collaborative Ranking. CoRR abs/1412.7990 (2014) - 2013
- [b1]Ernesto Diaz-Aviles:
Living analytics methods for the social web. University of Hanover, [CreateSpace] 2013, ISBN 978-1-4921-9424-8, pp. 1-169 - [j1]Ernesto Diaz-Aviles:
Living analytics methods for the social web. SIGIR Forum 47(2): 139 (2013) - [c20]Claudia Orellana-Rodriguez, Ernesto Diaz-Aviles, Wolfgang Nejdl:
Mining emotions in short films: user comments or crowdsourcing? WWW (Companion Volume) 2013: 69-70 - [c19]Ernesto Diaz-Aviles, Wolfgang Nejdl, Lucas Drumond, Lars Schmidt-Thieme:
Towards real-time collaborative filtering for big fast data. WWW (Companion Volume) 2013: 779-780 - [c18]Ernesto Diaz-Aviles:
Living analytics methods for the web observatory. WWW (Companion Volume) 2013: 1321-1324 - [p1]Patrick Siehndel, Fabian Abel, Ernesto Diaz-Aviles, Nicola Henze, Daniel Krause:
Cross-Domain Analysis of the Blogosphere for Trend Prediction. The Influence of Technology on Social Network Analysis and Mining 2013: 275-301 - 2012
- [c17]Ernesto Diaz-Aviles, Lucas Drumond, Zeno Gantner, Lars Schmidt-Thieme, Wolfgang Nejdl:
What is happening right now ... that interests me?: online topic discovery and recommendation in twitter. CIKM 2012: 1592-1596 - [c16]Avaré Stewart, Ernesto Diaz-Aviles:
Epidemic Intelligence: For the Crowd, by the Crowd. ICWE 2012: 504-505 - [c15]Ernesto Diaz-Aviles, Avaré Stewart, Edward Velasco, Kerstin Denecke, Wolfgang Nejdl:
Epidemic Intelligence for the Crowd, by the Crowd. ICWSM 2012 - [c14]Ernesto Diaz-Aviles, Claudia Orellana-Rodriguez, Wolfgang Nejdl:
Taking the Pulse of Political Emotions in Latin America Based on Social Web Streams. LA-WEB 2012: 40-47 - [c13]Ernesto Diaz-Aviles, Lucas Drumond, Lars Schmidt-Thieme, Wolfgang Nejdl:
Real-time top-n recommendation in social streams. RecSys 2012: 59-66 - [c12]Ernesto Diaz-Aviles, Mihai Georgescu, Wolfgang Nejdl:
Swarming to rank for recommender systems. RecSys 2012: 229-232 - [c11]Ernesto Diaz-Aviles, Avaré Stewart:
Tracking Twitter for epidemic intelligence: case study: EHEC/HUS outbreak in Germany, 2011. WebSci 2012: 82-85 - [c10]Ernesto Diaz-Aviles, Ricardo Kawase:
Exploiting Twitter as a Social Channel for Human Computation. CrowdSearch 2012: 15-19 - [c9]Ernesto Diaz-Aviles, Avaré Stewart, Edward Velasco, Kerstin Denecke, Wolfgang Nejdl:
Towards personalized learning to rank for epidemic intelligence based on social media streams. WWW (Companion Volume) 2012: 495-496 - [i5]Ernesto Diaz-Aviles, Avaré Stewart, Edward Velasco, Kerstin Denecke, Wolfgang Nejdl:
Epidemic Intelligence for the Crowd, by the Crowd (Full Version). CoRR abs/1203.1378 (2012) - 2011
- [c8]Ernesto Diaz-Aviles, Marco Fisichella, Ricardo Kawase, Wolfgang Nejdl, Avaré Stewart:
Unsupervised Auto-tagging for Learning Object Enrichment. EC-TEL 2011: 83-96 - [c7]Avare Stewart, Ernesto Diaz-Aviles, Alexandros Nanopoulos:
Self-supervised detection of disease reporting events in outbreak reports. IRI 2011: 416-421 - [c6]Ernesto Diaz-Aviles, Patrick Siehndel, Kaweh Djafari Naini:
Exploiting Social #-Tagging Behavior in Twitter for Information Filtering and Recommendation. TREC 2011 - [i4]Avaré Stewart, Ricardo Lage, Ernesto Diaz-Aviles, Peter Dolog:
Personalized Event-Based Surveillance and Alerting Support for the Assessment of Risk. CoRR abs/1101.0654 (2011) - 2010
- [c5]Fabian Abel, Ernesto Diaz-Aviles, Nicola Henze, Daniel Krause, Patrick Siehndel:
Analyzing the Blogosphere for Predicting the Success of Music and Movie Products. ASONAM 2010: 276-280 - [c4]Ernesto Diaz-Aviles, Mihai Georgescu, Avaré Stewart, Wolfgang Nejdl:
LDA for on-the-fly auto tagging. RecSys 2010: 309-312
2000 – 2009
- 2009
- [c3]Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-Thieme:
Swarming to rank for information retrieval. GECCO 2009: 9-16 - [c2]Avare Stewart, Ernesto Diaz-Aviles, Wolfgang Nejdl, Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Cross-tagging for personalized open social networking. Hypertext 2009: 271-278 - [i3]Ernesto Diaz-Aviles:
Alleviating Media Bias Through Intelligent Agent Blogging. CoRR abs/0902.0798 (2009) - 2008
- [c1]Avare Stewart, Ernesto Diaz-Aviles, Wolfgang Nejdl:
Mining User Profiles to Support Structure and Explanation in Open Social Networking. IMC-SSW@SAMT 2008 - [i2]Ernesto Diaz-Aviles, Lars Schmidt-Thieme, Cai-Nicolas Ziegler:
Emergence of Spontaneous Order Through Neighborhood Formation in Peer-to-Peer Recommender Systems. CoRR abs/0812.4460 (2008) - [i1]Avare Stewart, Ernesto Diaz-Aviles, Wolfgang Nejdl:
Mining User Profiles to Support Structure and Explanation in Open Social Networking. CoRR abs/0812.4461 (2008)
Coauthor Index
aka: Avaré Stewart
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