Alpenglow: Open Source Recommender Framework with Time-aware Learning and Evaluation. - Erzsébet Frigó; Róbert Pálovics; Domokos Kelen; Levente Kocsis; András A. Benczúr (RecSys Posters, 2017)

Online Ranking Prediction in Non-stationary Environments. - Erzsébet Frigó; Róbert Pálovics; Domokos Kelen; Levente Kocsis; András A. Benczúr (RecTemp@RecSys, 2017)

Tutorial on Open Source Online Learning Recommenders. - Róbert Pálovics; Domokos Kelen; András A. Benczúr (RecSys, 2017)

Efficient K-NN for Playlist Continuation. - Domokos M. Kelen; Dániel Berecz; Ferenc Béres; András A. Benczúr (RecSys Challenge, 2018)

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 (UMAP (Adjunct Publication), 2019)

Node embeddings in dynamic graphs. - Ferenc Béres; Domokos M. Kelen; Róbert Pálovics; András A. Benczúr (Appl. Netw. Sci., 2019)

Session Recommendation via Recurrent Neural Networks over Fisher Embedding Vectors. - Domokos Kelen; Bálint Daróczy; Frederick Ayala-Gómez; Anna Ország; András Benczúr (Sensors, 2019)

Tutorial on graph stream analytics. - András Benczúr; Ferenc Béres; Domokos Kelen; Róbert Pálovics (DEBS, 2021)

A probabilistic perspective on nearest neighbor for implicit recommendation. - Domokos M. Kelen; András A. Benczúr (ICDM (Workshops), 2021)

Causal Explanations for Performance in Radio Networks. - Domokos M. Kelen; Péter Kersch; András A. Benczúr (AI6G@WCCI, 2022)

Towards Measuring The Fungibility and Anonymity of Cryptocurrencies. - Domokos Miklós Kelen; István András Seres (CoRR, 2022)

Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis. - Domokos M. Kelen; Mihály Petreczky; Péter Kersch; András A. Benczúr (ICDM, 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)

Towards Measuring the Traceability of Cryptocurrencies. - Domokos M. Kelen; István András Seres (ICBC, 2025)

Distribution-Free Data Uncertainty for Neural Network Regression. - Domokos M. Kelen; Ádám Jung; Péter Kersch; András A. Benczúr (ICLR, 2025)