Latest publications

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| 2023 | 2022 | 2021 | 2020 | 2019 |

    2023

  1. Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Renata Borovica-Gajic, Jesus Camacho-Rodriguez, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Jerome Darmont, Gillian Dobbie, Amr El Abbadi, Avrilla Flouratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Behrooz Omidvar-Tehrani, Fatma Ozcan, Liat Peterfreund, Wenny Rahayu, Shazia Sadiq, Sana Sellami, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Pinar Tozun, Genoveva Vargas-Solar, Neeraja Yadwadkar, Victor Zakhary, Meihui Zhang, Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report, ACM SIGMOD Record (ACM SIGMOD '23), 52(2):38-42, Seattle, WA, USA, August 2023.

    2. 2022

  2. Tahereh Arabghalizi, Alexandros Labrinidis, A Ranked Bandit Approach for Multi-stakeholder Recommender Systems, Workshop of Multi-Objective Recommender Systems (MORS’22), in conjunction with the 16th ACM Conference on Recommender Systems, RecSys (MORS '22), 22, September 2022.

  3. Tahereh Arabghalizi, Alexandros Labrinidis, Context-aware Multi-stakeholder Recommender Systems, The International FLAIRS Conference Proceedings (FLAIRS '22), 35, May 2022.

    4. 2021

  4. Tahereh Arabghalizi, Alexandros Labrinidis, 2SRS: A Two-Sided Recommender System to Connect Local Businesses to Bus Passengers, 22nd IEEE International Conference on Mobile Data Management (MDM) (MDM'21), 127-132, June 2021.

    5. 2020

  5. Tahereh Arabghalizi, Alexandros Labrinidis, Multi-characteristic Subject Selection from Biased Datasets, arXiv (arXiv), December 2020.

  6. Tahereh Arabghalizi, Alexandros Labrinidis, Data-driven bus crowding prediction models using context-specific features, ACM Transactions on Data Science (ACM TDS), 1(3):1-33, September 2020.

  7. Kristi Bushman, Alexandros Labrinidis, Set it and forget it: utility-based scheduling for public displays, Personal and Ubiquitous Computing (PUC), 26:781-794, June 2020.

  8. Nikos R. Katsipoulakis, Alexandros Labrinidis, Panos K. Chrysanthis, SPEAr: Expediting Stream Processing with Accuracy Guarantees, 36th International Conference on Data Engineering (ICDE '20), 1105-1116, Dallas, Texas, April 2020.

    9. 2019

  9. Rakan Alseghayer, Daniel Petrov, Panos K. Chrysanthis, Mohamed Sharaf, Alexandros Labrinidis, DCS: A Policy Framework for the Detection of Correlated Data Streams, Lecture Notes in Business Information Processing, Volume 337 (LNBIP), 191-210, October 2019, (BIRTE (Revised Selected Papers) 2017).

  10. Tahereh Arabghalizi, Alexandros Labrinidis, How full will my next bus be? A Framework to Predict Bus Crowding Levels, 8th International Workshop on Urban Computing (ACM) (UrbComp'19), August 2019.