Domokos Kelen

According to our database, Domokos Kelen authored at least 13 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A probabilistic perspective on nearest neighbor for implicit recommendation.

Domokos M. Kelen, András A. Benczúr

Int. J. Data Sci. Anal., August, 2023

ethp2psim: Evaluating and deploying privacy-enhanced peer-to-peer routing protocols for the Ethereum network.

Ferenc Béres, István András Seres, Domokos M. Kelen, András A. Benczúr

CoRR, 2023

Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis.

Domokos M. Kelen, Mihály Petreczky, Péter Kersch, András A. Benczúr

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Towards Measuring The Fungibility and Anonymity of Cryptocurrencies.

Domokos Miklós Kelen, István András Seres

CoRR, 2022

Causal Explanations for Performance in Radio Networks.

Domokos M. Kelen, Péter Kersch, András A. Benczúr

Proceedings of the Short Paper Proceedings of the First International Workshop on Artificial Intelligence in Beyond 5G and 6G Wireless Networks (AI6G 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI2022), 2022

2021

Tutorial on graph stream analytics.

András Benczúr, Ferenc Béres, Domokos Kelen, Róbert Pálovics

Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, 2021

2019

Session Recommendation via Recurrent Neural Networks over Fisher Embedding Vectors.

Domokos Kelen, Bálint Daróczy, Frederick Ayala-Gómez, Anna Ország, András Benczúr

Sensors, 2019

Node embeddings in dynamic graphs.

Ferenc Béres, Domokos M. Kelen, Róbert Pálovics, András A. Benczúr

Appl. Netw. Sci., 2019

Reading News with a Purpose: Explaining User Profiles for Self-Actualization.

Emily Sullivan, Dimitrios Bountouridis, Jaron Harambam, Shabnam Najafian, Felicia Loecherbach, Mykola Makhortykh, Domokos Kelen, Daricia Wilkinson, David Graus, Nava Tintarev

Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

2018

Efficient K-NN for Playlist Continuation.

Domokos M. Kelen, Dániel Berecz, Ferenc Béres, András A. Benczúr

Proceedings of the ACM Recommender Systems Challenge, 2018

2017

Tutorial on Open Source Online Learning Recommenders.

Róbert Pálovics, Domokos Kelen, András A. Benczúr

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Online Ranking Prediction in Non-stationary Environments.

Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr

Proceedings of the 1st Workshop on Temporal Reasoning in Recommender Systems co-located with 11th International Conference on Recommender Systems (RecSys 2017), 2017

Alpenglow: Open Source Recommender Framework with Time-aware Learning and Evaluation.

Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr

Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017