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Paraschakis, Dimitris
15  results:
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1

Artificial Intelligence in the Energy Transition for Solar ..:

, In: Digital Humanism,
Schmidt, Malte ; Marrone, Stefano ; Paraschakis, Dimitris. - p. 105-123 , 2022
Link: https://doi.org/10.1007/..
 
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2

Matchmaking Under Fairness Constraints: A Speed Dating Case..:

, In: Communications in Computer and Information Science; Bias and Social Aspects in Search and Recommendation,
Paraschakis, Dimitris ; Nilsson, Bengt J. - p. 43-57 , 2020
Link: https://doi.org/10.1007/..
 
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3

FlowRec: Prototyping Session-Based Recommender Systems in S..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,
Paraschakis, Dimitris ; Nilsson, Bengt J. - p. 65-77 , 2020
Link: https://doi.org/10.1007/..
 
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4

A Bandit-Based Ensemble Framework for Exploration/Exploitat..:

Brodén, Björn ; Hammar, Mikael ; Nilsson, Bengt J..
ACM Transactions on Interactive Intelligent Systems (TiiS).  10 (2019)  1 - p. 1-32 , 2019
Link: https://dl.acm.org/doi/1..
 
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5

A Bandit-Based Ensemble Framework for Exploration/Exploitat..:

Brodén, Björn ; Hammar, Mikael ; Nilsson, Bengt J..
ACM Transactions on Interactive Intelligent Systems.  10 (2019)  1 - p. 1-32 , 2019
Link: https://doi.org/10.1145/..
 
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6

Ensemble Recommendations via Thompson Sampling : an Expe..:

, In: 23rd International Conference on Intelligent User Interfaces,
Brodén, Björn ; Hammar, Mikael ; Nilsson, Bengt J.. - p. 19-29 , 2018
Link: https://dl.acm.org/doi/1..
 
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7

Bandit Algorithms for e-Commerce Recommender Systems : E..:

, In: Proceedings of the Eleventh ACM Conference on Recommender Systems,
Brodén, Björn ; Hammar, Mikael ; Nilsson, Bengt J.. - p. 349 ff. , 2017
Link: https://dl.acm.org/doi/1..
 
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8

Recommender Systems from an Industrial and Ethical Perspect..:

, In: Proceedings of the 10th ACM Conference on Recommender Systems,
Paraschakis, Dimitris - p. 463-466 , 2016
Link: https://dl.acm.org/doi/1..
 
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9

Sociotechnical Aspects of Automated Recommendations : Algor..:

Paraschakis, Dimitris
Studies in Computer Science.  , 2020
Link: http://urn.kb.se/resolve..
 
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10

Algorithmic and Ethical Aspects of Recommender Systems in e..:

Paraschakis, Dimitris
Studies in Computer Science.  , 2018
Link: http://urn.kb.se/resolve..
 
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11

Ensemble Recommendations via Thompson Sampling : an Experim..:

Brodén, Björn ; Hammar, Mikael ; Nilsson, Bengt J.
Proceeding IUI '18 23rd International Conference on Intelligent User Interfaces, p. 19-29.  , 2018
Link: http://urn.kb.se/resolve..
 
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12

An Ensemble Recommender System for E-Commerce:

Paraschakis, Dimitris
orcid:0000-0002-9767-5324.  , 2017
Link: http://urn.kb.se/resolve..
 
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13

Recommender Systems from an Industrial and Ethical perspect..:

Paraschakis, Dimitris
Proceedings of the 10th ACM Conference on Recommender Systems, p. 463-466.  , 2016
Link: http://urn.kb.se/resolve..
 
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14

Comparative Evaluation of Top-N Recommenders in e-Commerce ..:

Paraschakis, Dimitris ; Nilsson, Bengt ; Holländer, John
Proceedings : 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015, p. 1024-1031.  , 2015
Link: http://urn.kb.se/resolve..
 
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15

Crowdsourcing cultural heritage metadata through social med..:

Paraschakis, Dimitris
http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20739.  , 2013
Link: http://urn.kb.se/resolve..
 
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