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Kolomvatsos, K. and Anagnostopoulos, C. (2021) Proactive, uncertainty-driven queries management at the edge. Future Generation Computer Systems, 118, pp. 75-93. (doi: 10.1016/j.future.2020.12.028)

Anagnostopoulos, C. and Kolomvatsos, K. (2020) Predictive intelligence of reliable analytics in distributed computing environments. Applied Intelligence, 50, pp. 3219-3238. (doi: 10.1007/s10489-020-01712-5)

Kolomvatsos, K. and Anagnostopoulos, C. (2020) An intelligent edge-centric queries allocation scheme based on ensemble models. ACM Transactions on Internet Technology, 20(4), 45. (doi: 10.1145/3417297)

Savva, F. , Anagnostopoulos, C. , Triantafillou, P. and Kolomvatsos, K. (2020) Large-scale data exploration using explanatory regression functions. ACM Transactions on Knowledge Discovery from Data, 14(6), 76. (doi: 10.1145/3410448)

Savva, F. , Anagnostopoulos, C. and Triantafillou, P. (2020) Adaptive learning of aggregate analytics under dynamic workloads. Future Generation Computer Systems, 109, pp. 317-330. (doi: 10.1016/j.future.2020.03.063)

Savva, F. , Anagnostopoulos, C. and Triantafillou, P. (2020) SuRF: Identification of Interesting Data Regions with Surrogate Models. In: 36th IEEE International Conference on Data Engineering (IEEE ICDE), Dallas, TX, USA, 20-24 April 2020, pp. 1321-1332. ISBN 9781728129037 (doi: 10.1109/ICDE48307.2020.00118)

Kolomvatsos, K. and Anagnostopoulos, C. (2020) A probabilistic model for assigning queries at the edge. Computing, 102, pp. 865-892. (doi: 10.1007/s00607-019-00767-8)

Savva, F. , Anagnostopoulos, C. and Triantafillou, P. (2020) Aggregate Query Prediction under Dynamic Workloads. In: 2019 IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, USA, 09-12 Dec 2019, pp. 671-676. ISBN 9781728108582 (doi: 10.1109/BigData47090.2019.9006267)

Kolomvatsos, K. and Anagnostopoulos, C. (2020) Edge-centric queries stream management based on an ensemble model. In: Hatzilygeroudis, I., Perikos, I. and Grivokostopoulou, F. (eds.) Advances in Integration of Intelligent Methods. Series: Smart innovation, systems and technologies (170). Springer: Singapore, pp. 27-48. ISBN 9789811519178 (doi: 10.1007/978-981-15-1918-5_2)

Karanika, A., Oikonomou, P., Kolomvatsos, K. and Anagnostopoulos, C. (2020) An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge. In: CD-MAKE Cross Domain Conference for Machine Learning and Knowledge Extraction, All-Digital Conference, 25-28 Aug 2020, pp. 517-534. ISBN 9783030573201 (doi: 10.1007/978-3-030-57321-8_29)

Kolomvatsos, K. and Anagnostopoulos, C. (2019) Multi-criteria optimal task allocation at the edge. Future Generation Computer Systems, 93, pp. 358-372. (doi: 10.1016/j.future.2018.10.051)

Savva, F. , Anagnostopoulos, C. and Triantafillou, P. (2019) Explaining Aggregates for Exploratory Analytics. In: IEEE Big Data 2018, Seattle, WA, USA, 10-13 Dec 2018, pp. 478-487. ISBN 9781538650356 (doi: 10.1109/BigData.2018.8621953)

Kolomvatsos, K. and Anagnostopoulos, C. (2018) In-Network Decision Making Intelligence for Task Allocation in Edge Computing. In: 30th International Conference on Tools with Artificial Intelligence (ICTAI 2018), Volos, Greece, 5-7 Nov 2018, pp. 655-662. ISBN 9781538674499 (doi: 10.1109/ICTAI.2018.00104)

This list was generated on Thu Mar 28 18:28:54 2024 GMT.