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Leonidas Aristodemou
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The state-of-the-art on Intellectual Property Analytics (IPA): A literature review on artificial intelligence, machine learning and deep learning methods for analysing …
L Aristodemou, F Tietze
World Patent Information 55 (December 2018), 37-51, 2018
2252018
Crisis-Critical Intellectual Property: Findings From the COVID-19 Pandemic
F Tietze, P Vimalnath, L Aristodemou, J Molloy
IEEE Transactions on Engineering Management, 2020
732020
Citations as a measure of technological impact: a review of forward citation-based measures
L Aristodemou, F Tietze
World Patent Information 53, 39-44, 2018
632018
Exploring the Future of Patent Analytics: A Technology Roadmapping approach
L Aristodemou, F Tietze, N Athanassopoulou, T Minshall
Centre for Technology Management Working Paper Series 201711 (5), 2017
30*2017
World Corporate Top R&D Investors: Paving the way for Climate Neutrality
S Amoroso, L Aristodemou, C Criscuolo, A Dechezleprêtre, H Dernis, ...
Publications Office of the European Union, EUJRC-OECD Joint Report, 2021
142021
A Literature Review on Technology Development Process (TDP) Models
L Aristodemou, F Tietze, E O'Leary, M Shaw
Centre for Technology Management Working Paper Series 201901 (6), 2019
142019
Stage Gate Decision making: a scoping review of Technology Strategic Selection Criteria for Early Stage Projects
L Aristodemou, F Tietze, M Shaw
IEEE Engineering Management Review 48 (2), 118-135, 2020
132020
Identifying Valuable Patents: A Deep Learning Approach
L Aristodemou
University of Cambridge, 2020
72020
A novel method for visually mapping intellectual property risks and uncertainties in evolving innovation ecosystems: A design science research approach for the COVID-19 pandemic
A Moerchel, F Tietze, L Aristodemou, P Vimalnath
IEEE Transactions on Engineering Management, 2022
62022
Identifying crisis-critical intellectual property challenges during the Covid-19 pandemic
A Moerchel, F Tietze, L Aristodemou, P Vimalnath
Academy of Management Proceedings 2021 (1), 15224, 2021
5*2021
Technology Strategic Decision Making (SDM): an overview of decision theories, processes and methods
L Aristodemou, F Tietze
Centre for Technology Management Working Paper Series 201901 (5), 2019
52019
Predicting wine prices based on the weather: Bordeaux vineyards in a changing climate
A Roucher, L Aristodemou, F Tietze
Frontiers of Environmental Science 10, 2022
32022
Investigation of deep learning architectures and features for adversarial machine learning attacks in modulation classifications
M Aristodemou, S Lambotharan, G Zheng, L Aristodemou
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop …, 2022
22022
Identifying Crisis-Critical Intellectual Property Challenges during the Covid-19 Pandemic: A scenario analysis and conceptual extrapolation of innovation ecosystem dynamics …
A Moerchel, F Tietze, L Aristodemou, P Vimalnath
Centre for Technology Management Working Paper series 202010 (1), 2020
22020
Disruptive technologies: characteristics and early identification, using machine learning and text mining from patent data
X Li, L Aristodemou, F Tietze, Y Jeong
R&D Management Conference 2020, University of Strathclyde, Glasgow, Scotland …, 2020
22020
Chinese innovation system stakeholders’ perception of the importance and use of IP: Lessons from a field trip
F Tietze, A Tang, L Aristodemou, M Elsen
Centre for Technology Management Working Paper series, 2021
12021
What the United States (US) Intellectual Property (IP) waiver announcement tells us about patent values: A patent premium perspective on Covid-19 vaccine patents
F Tietze, L Aristodemou
Centre for Technology Management Working Paper series 202105 (1), 2021
12021
Intellectual Property Analytics Decisions Support Tool (IPDST) for Early Stage Technology Decision Making
L Aristodemou, F Tietze, A Brintrup, S Deeble
Centre for Technology Management Working Paper Series 201901 (1), 2019
12019
Measuring governments’ R&D funding response to COVID-19: An application of the OECD Fundstat infrastructure to the analysis of R&D directionality
L Aristodemou, F Galindo-Rueda, K Matsumoto, A Murakami
OECD Science, Technology and Industry Working Papers 2023 (06), 68, 2023
2023
Publication text: code, data, and new measures
S Arts, N Melluso, R Veugelers, L Aristodemou
https://zenodo.org/record/8283353, 2023
2023
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Articles 1–20