Michael Mathioudakis

Orcid: 0000-0003-0074-3966

Affiliations:
  • University of Helsinki, Finland


According to our database1, Michael Mathioudakis authored at least 60 papers between 2006 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Optimizing a Data Science System for Text Reuse Analysis.
CoRR, 2024

WaZI: A Learned and Workload-aware Z-Index.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023
Fair Max-Min Diversity Maximization in Streaming and Sliding-Window Models.
Entropy, July, 2023

Workload-aware and Learned Z-Indexes.
CoRR, 2023

Cost-Effective Retraining of Machine Learning Models.
CoRR, 2023

Graph Summarization via Node Grouping: A Spectral Algorithm.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Designing Affirmative Action Policies under Uncertainty.
J. Learn. Anal., August, 2022

Succinct Graph Representations as Distance Oracles: An Experimental Evaluation.
Proc. VLDB Endow., 2022

Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study.
Mach. Learn. Knowl. Extr., 2022

Scalably Using Node Attributes and Graph Structure for Node Classification.
Entropy, 2022

Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Streaming Algorithms for Diversity Maximization with Fairness Constraints.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Workload-Aware Materialization of Junction Trees.
Proceedings of the 25th International Conference on Extending Database Technology, 2022

Robustness of Sketched Linear Classifiers to Adversarial Attacks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
(So) Big Data and the transformation of the city.
Int. J. Data Sci. Anal., 2021

Certifiable Machine Unlearning for Linear Models.
CoRR, 2021

Fair and Representative Subset Selection from Data Streams.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Minimum Coresets for Maxima Representation of Multidimensional Data.
Proceedings of the PODS'21: Proceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2021

Workload-aware Materialization for Efficient Variable Elimination on Bayesian Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Joint Use of Node Attributes and Proximity for Node Classification.
Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

2020
Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs.
CoRR, 2020

Streaming Submodular Maximization with Fairness Constraints.
CoRR, 2020

Intersectional Affirmative Action Policies for Top-k Candidates Selection.
CoRR, 2020

GRMR: Generalized Regret-Minimizing Representatives.
CoRR, 2020

Towards Data-Driven Affirmative Action Policies under Uncertainty.
CoRR, 2020

Affirmative action policies for top-k candidates selection: with an application to the design of policies for university admissions.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Evaluating Decision Makers over Selectively Labelled Data: A Causal Modelling Approach.
Proceedings of the Discovery Science - 23rd International Conference, 2020

2019
Query the model: precomputations for efficient inference with Bayesian Networks.
CoRR, 2019

2018
Social Media Analysis.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Quantifying Controversy on Social Media.
ACM Trans. Soc. Comput., 2018

Global citation recommendation using knowledge graphs.
J. Intell. Fuzzy Syst., 2018

Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Markov Chain Monitoring.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2017
Bump Hunting in the Dark: Local Discrepancy Maximization on Graphs.
IEEE Trans. Knowl. Data Eng., 2017

Modeling Urban Behavior by Mining Geotagged Social Data.
IEEE Trans. Big Data, 2017

Exposing Twitter Users to Contrarian News.
CoRR, 2017

Mary, Mary, Quite Contrary: Exposing Twitter Users to Contrarian News.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Reducing Controversy by Connecting Opposing Views.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Factors in Recommending Contrarian Content on Social Media.
Proceedings of the 2017 ACM on Web Science Conference, 2017

The Effect of Collective Attention on Controversial Debates on Social Media.
Proceedings of the 2017 ACM on Web Science Conference, 2017

Ad-blocking: A Study on Performance, Privacy and Counter-measures.
Proceedings of the 2017 ACM on Web Science Conference, 2017

Where Could We Go?: Recommendations for Groups in Location-Based Social Networks.
Proceedings of the 2017 ACM on Web Science Conference, 2017

The Ebb and Flow of Controversial Debates on Social Media.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Inferring Venue Visits from GPS Trajectories.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

2016
Balancing Opposing Views to Reduce Controversy.
CoRR, 2016

Extracting Patterns of Urban Activity from Geotagged Social Data.
CoRR, 2016

"What Is the City but the People?": Exploring Urban Activity Using Social Web Traces.
Proceedings of the 25th International Conference on World Wide Web, 2016

Exploring Controversy in Twitter.
Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

2015
Where Is the Soho of Rome? Measures and Algorithms for Finding Similar Neighborhoods in Cities.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Accessibility by Public Transport Predicts Residential Real Estate Prices: A Case Study in Helsinki Region.
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

Absorbing Random-Walk Centrality: Theory and Algorithms.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Detecting Prominent Patterns of Activity in Social Media.
PhD thesis, 2014

2011
Sparsification of influence networks.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
Identifying, Attributing and Describing Spatial Bursts.
Proc. VLDB Endow., 2010

Early online identification of attention gathering items in social media.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

TwitterMonitor: trend detection over the twitter stream.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

2009
Efficient identification of starters and followers in social media.
Proceedings of the EDBT 2009, 2009

2006
A study on workload-aware wavelet synopses for point and range-sum queries.
Proceedings of the DOLAP 2006, 2006


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