Time and temporality in machine learning methods to improve cancer clinical decision support: A literature review.

Anastasia Griva https://orcid.org/0000-0001-8346-9389

Yiyu Wang Anastasia Griva Umair ul Hassan Time and temporality in machine learning methods to improve cancer clinical decision support: A literature review. 106219 2026 207 Int. J. Medical Informatics https://doi.org/10.1016/j.ijmedinf.2025.106219 db/journals/ijmi/ijmi207.html#WangGH26 streams/journals/ijmi

Anastasia Griva Leona Chandra Kruse Monika Hattinger Karin Högberg Ilias O. Pappas Kieran Conboy Making space for time: Strategies for the design of time-aware hybrid work. 611-645 2025 March 35 Inf. Syst. J. 2 https://doi.org/10.1111/isj.12552 db/journals/isj/isj35.html#GrivaKHHPC25 streams/journals/isj

Efpraxia D. Zamani Anastasia Griva Konstantina Spanaki Paidi O'Raghallaigh David Sammon Making sense of business analytics in project selection and prioritisation: insights from the start-up trenches. 895-918 2024 37 Inf. Technol. People 2 https://doi.org/10.1108/ITP-09-2020-0633 db/journals/itp/itp37.html#ZamaniGSOS24

Anastasia Griva Eleni Zampou Vasilis Stavrou Dimitris Papakiriakopoulos Georgios I. Doukidis A two-stage business analytics approach to perform behavioural and geographic customer segmentation using e-commerce delivery data. 1-29 2024 January 33 J. Decis. Syst. 1 https://doi.org/10.1080/12460125.2022.2151071 db/journals/jds/jds33.html#GrivaZSPD24

Rasmus Ulfsnes Nils Brede Moe Jostein Emmerhoff Marcin Floryan Anastasia Griva Jan Henrik Gundelsby Astri Moksnes Barbala Kieran Conboy Responsible AI in Agile Software Engineering - An Industry Perspective. 33-41 2024 XP Workshops https://doi.org/10.1007/978-3-031-72781-8_4 conf/xpu/2024w db/conf/xpu/xp2024w.html#UlfsnesMEFGGBC24

Anastasia Griva Dimosthenis Kotsopoulos Angeliki Karagiannaki Efpraxia D. Zamani What do growing early-stage digital start-ups look like? A mixed-methods approach. 102427 2023 April 69 Int. J. Inf. Manag. https://doi.org/10.1016/j.ijinfomgt.2021.102427 db/journals/ijinfoman/ijinfoman69.html#GrivaKKZ23

Denis Dennehy Anastasia Griva Nancy Pouloudi Matti Mäntymäki Ilias O. Pappas Artificial intelligence for decision-making and the future of work. 102574 2023 April 69 Int. J. Inf. Manag. https://doi.org/10.1016/j.ijinfomgt.2022.102574 db/journals/ijinfoman/ijinfoman69.html#DennehyGPMP23

Denis Dennehy Anastasia Griva Nancy Pouloudi Yogesh K. Dwivedi Matti Mäntymäki Ilias O. Pappas Artificial Intelligence (AI) and Information Systems: Perspectives to Responsible AI. 1-7 2023 February 25 Inf. Syst. Frontiers 1 https://doi.org/10.1007/s10796-022-10365-3 db/journals/isf/isf25.html#DennehyGPDMP23

Anastasia Griva Denis Dennehy Ilias O. Pappas Matti Mäntymäki Nancy Pouloudi Yogesh K. Dwivedi Bill Schmarzo Artificial intelligence and analytics in practice. 535-541 2023 July 32 J. Decis. Syst. 3 https://doi.org/10.1080/12460125.2022.2122218 db/journals/jds/jds32.html#GrivaDPMPDS23

Anastasia Griva Cleopatra Bardaki Katerina Pramatari Georgios I. Doukidis Factors Affecting Customer Analytics: Evidence from Three Retail Cases. 493-516 2022 24 Inf. Syst. Frontiers 2 https://doi.org/10.1007/s10796-020-10098-1 db/journals/isf/isf24.html#GrivaBPD22

Efpraxia D. Zamani Anastasia Griva Kieran Conboy Using Business Analytics for SME Business Model Transformation under Pandemic Time Pressure. 1145-1166 2022 24 Inf. Syst. Frontiers 4 https://doi.org/10.1007/s10796-022-10255-8 db/journals/isf/isf24.html#ZamaniGC22

Anastasia Griva Stephen Byrne Denis Dennehy Kieran Conboy Software Requirements Quality: Using Analytics to Challenge Assumptions at Intel. 80-88 2022 39 IEEE Softw. 2 https://doi.org/10.1109/MS.2020.3043868 https://www.wikidata.org/entity/Q114629028 db/journals/software/software39.html#GrivaBDC22

Anastasia Griva Denis Dennehy Mining Segmentation Patterns Using e-Commerce Retail Data: An Experience Report. 545-551 2021 I3E https://doi.org/10.1007/978-3-030-85447-8_45 conf/i3e/2021 db/conf/i3e/i3e2021.html#GrivaD21 Denis Dennehy Anastasia Griva Nancy Pouloudi Yogesh K. Dwivedi Ilias O. Pappas Matti Mäntymäki Responsible AI and Analytics for an Ethical and Inclusive Digitized Society - 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021, Galway, Ireland, September 1-3, 2021, Proceedings I3E Springer 2021 Lecture Notes in Computer Science 12896 978-3-030-85446-1 978-3-030-85447-8 https://doi.org/10.1007/978-3-030-85447-8 db/conf/i3e/i3e2021.html Katerina Batziakoudi Anastasia Griva Angeliki Karagiannaki Katerina Pramatari Human Computer Interaction in Business Analytics: the Case of a Retail Analytics Platform. 2020 ECIS https://aisel.aisnet.org/ecis2020_rip/54 conf/ecis/2020 db/conf/ecis/ecis2020.html#BatziakoudiGKP20 Anastasia Griva Data-driven innovation in shopper marketing: a business analytics approach for visit segmentation in the retail industry Athens University Economics and Business, Greece 2019 National Archive of PhD Theses: oai:10442/46349 http://hdl.handle.net/10442/hedi/46349

Anastasia Griva Cleopatra Bardaki Katerina Pramatari Dimitris Papakiriakopoulos Retail business analytics: Customer visit segmentation using market basket data. 1-16 2018 100 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2018.01.029 db/journals/eswa/eswa100.html#GrivaBPP18

Katerina Kalaidopoulou Stratos Triantafyllou Anastasia Griva Katerina Pramatari Identifying Customer Satisfaction Patterns Via Data Mining: The Case Of Greek E-Shops. 16 2017 MCIS https://aisel.aisnet.org/mcis2017/16 conf/mcis/2017 db/conf/mcis/mcis2017.html#KalaidopoulouTG17 Anastasia Griva Cleopatra Bardaki Katerina Pramatari Georgios I. Doukidis Mapping Moving Object Events into a Network of Object flows to Support Decisions. Research Paper 112 2016 ECIS http://aisel.aisnet.org/ecis2016_rp/112 conf/ecis/2016 db/conf/ecis/ecis2016.html#GrivaBPG16 Anastasia Griva Cleopatra Bardaki Katerina Pramatari RFID Enabled Visualisation of Product Flows: A Data Analytics Approach. 11 2015 MCIS http://aisel.aisnet.org/mcis2015/11 conf/mcis/2015 db/conf/mcis/mcis2015.html#GrivaBP15 Anastasia Griva Cleopatra Bardaki Sarantopoulos Panagiotis Dimitris A. Papakiriakopoulos A Data Mining-Based Framework to Identify Shopping Missions. 20 2014 MCIS http://aisel.aisnet.org/mcis2014/20 conf/mcis/2014 db/conf/mcis/mcis2014.html#GrivaBPP14 Astri BarbalaAstri Moksnes Barbala Cleopatra Bardaki Katerina Batziakoudi Stephen Byrne Kieran Conboy Denis Dennehy Georgios I. Doukidis Yogesh Kumar DwivediYogesh K. Dwivedi Jostein Emmerhoff Marcin Floryan Jan Henrik Gundelsby Umair ul Hassan Monika Hattinger Karin Högberg Katerina Kalaidopoulou Angeliki Karagiannaki Dimosthenis Kotsopoulos Leona Chandra Kruse Matti Mäntymäki Nils Brede Moe Paidi O'Raghallaigh Sarantopoulos Panagiotis Dimitris A. PapakiriakopoulosDimitris Papakiriakopoulos Ilias O. Pappas Nancy Pouloudi Katerina Pramatari David Sammon Bill Schmarzo Konstantina Spanaki Vasilis Stavrou Stratos Triantafyllou Rasmus Ulfsnes Yiyu Wang Efpraxia D. Zamani Eleni Zampou