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András A. Benczúr

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Domokos Kelen

> Home > Persons > András A. Benczúr

Publications

2023
[j28]
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  - journals/ijdsa/KelenB23
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  - https://dblp.org/rec/journals/ijdsa/KelenB23
Domokos M. Kelen, András A. Benczúr:
A probabilistic perspective on nearest neighbor for implicit recommendation. Int. J. Data Sci. Anal. 16(2): 217-235 (2023)
[c96]
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  - conf/icdm/KelenPKB23
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Domokos M. Kelen, Mihály Petreczky, Péter Kersch, András A. Benczúr:
Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis. ICDM 2023: 210-219
[i21]
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  - journals/corr/abs-2306-15024
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Ferenc Béres, István András Seres, Domokos M. Kelen, András A. Benczúr:
ethp2psim: Evaluating and deploying privacy-enhanced peer-to-peer routing protocols for the Ethereum network. CoRR abs/2306.15024 (2023)
[i19]
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  - journals/corr/abs-2310-09961
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Domokos M. Kelen, Mihály Petreczky, Péter Kersch, András A. Benczúr:
Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis. CoRR abs/2310.09961 (2023)
2022
[c92]
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  - conf/wcci/KelenKB22
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Domokos M. Kelen, Péter Kersch, András A. Benczúr:
Causal Explanations for Performance in Radio Networks. AI6G@WCCI 2022
2021
[c90]
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  - conf/debs/BenczurBKP21
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András Benczúr, Ferenc Béres, Domokos Kelen, Róbert Pálovics:
Tutorial on graph stream analytics. DEBS 2021: 168-171
[c89]
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  - conf/incdm/KelenB21
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Domokos M. Kelen, András A. Benczúr:
A probabilistic perspective on nearest neighbor for implicit recommendation. ICDM (Workshops) 2021: 27-35
2019
[j26]
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  - journals/ans/BeresKPB19
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Ferenc Béres, Domokos M. Kelen, Róbert Pálovics, András A. Benczúr:
Node embeddings in dynamic graphs. Appl. Netw. Sci. 4(1): 64:1-64:25 (2019)
[j24]
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  - journals/sensors/KelenDAOB19
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Domokos Kelen, Bálint Daróczy, Frederick Ayala-Gómez, Anna Ország, András Benczúr:
Session Recommendation via Recurrent Neural Networks over Fisher Embedding Vectors. Sensors 19(16): 3498 (2019)
2018
[c83]
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  - conf/recsys/KelenBBB18
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Domokos M. Kelen, Dániel Berecz, Ferenc Béres, András A. Benczúr:
Efficient K-NN for Playlist Continuation. RecSys Challenge 2018: 6:1-6:4
2017
[c81]
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  - conf/recsys/FrigoPKKB17
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Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr:
Alpenglow: Open Source Recommender Framework with Time-aware Learning and Evaluation. RecSys Posters 2017
[c80]
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Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr:
Online Ranking Prediction in Non-stationary Environments. RecTemp@RecSys 2017: 28-34
[c79]
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  - conf/recsys/PalovicsKB17
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Róbert Pálovics, Domokos Kelen, András A. Benczúr:
Tutorial on Open Source Online Learning Recommenders. RecSys 2017: 400-401

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