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Martin Ruskov
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2020 – today
- 2024
- [j3]Alba Morollon Diaz-Faes, Carla Sofia Ribeiro Murteira, Martin Ruskov:
Values That Are Explicitly Present in Fairy Tales: Comparing Samples from German, Italian and Portuguese Traditions. J. Data Min. Digit. Humanit. 2024 (2024) - [c15]Stefano Montanelli, Francesco Saverio Mula, Martin Ruskov:
Engaging Users in Writing Imaginary Conversations on Cultural Heritage Paintings. AVICH@AVI 2024 - [c14]Stefano Montanelli, Francesco Saverio Mula, Martin Ruskov:
Canvas Conversation Tales: A Web Application for Collaboratively Writing Imaginary Dialogues. CoG 2024: 1-2 - [i7]Miriam Cuscito, Alfio Ferrara, Martin Ruskov:
How BERT Speaks Shakespearean English? Evaluating Historical Bias in Contextual Language Models. CoRR abs/2402.05034 (2024) - [i6]Alba Morollon Diaz-Faes, Carla Sofia Ribeiro Murteira, Martin Ruskov:
Values That Are Explicitly Present in Fairy Tales: Comparing Samples from German, Italian and Portuguese Traditions. CoRR abs/2402.08318 (2024) - 2023
- [c13]Martin Ruskov:
Who and How: Using Sentence-Level NLP to Evaluate Idea Completeness. AIED (Posters/Late Breaking Results/...) 2023: 284-289 - [c12]Martin Ruskov, Maria Dagioglou, Marko Kokol, Stefano Montanelli, Georgios Petasis:
A Knowledge Graph of Values across Space and Time (full paper). IAI4CH@AI*IA 2023: 8-20 - [c11]Emily Theophilou, Cansu Koyuturk, Mona Yavari, Sathya Bursic, Gregor Donabauer, Alessia Telari, Alessia Testa, Raffaele Boiano, Davinia Hernández Leo, Martin Ruskov, Davide Taibi, Alessandro Gabbiadini, Dimitri Ognibene:
Learning to Prompt in the Classroom to Understand AI Limits: A Pilot Study. AI*IA 2023: 481-496 - [c10]Martin Ruskov, Sara Sullam:
Towards a Phenomenographic Framework for Exploratory Visual Analysis of Bibliographic Data. CHR 2023: 100-110 - [c9]Martin Ruskov:
Who Should Do It? Automatic Identification of Responsible Stakeholder in Writings During Training. ICALT 2023: 344-346 - [c8]Stefano Montanelli, Martin Ruskov:
A Systematic Literature Review of Online Collaborative Story Writing. INTERACT (3) 2023: 73-93 - [c7]Martin Ruskov:
Grimm in Wonderland: Prompt Engineering with Midjourney to Illustrate Fairytales. IRCDL 2023: 180-191 - [c6]Georgios Petasis, Martin Ruskov, Anna Gradou, Marko Kokol:
The VAST Collaborative Multimodal Annotation Platform: Annotating Values. WorldCIST (4) 2023: 205-216 - [i5]Martin Ruskov:
Grimm in Wonderland: Prompt Engineering with Midjourney to Illustrate Fairytales. CoRR abs/2302.08961 (2023) - [i4]Cansu Koyuturk, Mona Yavari, Emily Theophilou, Sathya Bursic, Gregor Donabauer, Alessia Telari, Alessia Testa, Raffaele Boiano, Alessandro Gabbiadini, Davinia Hernández-Leo, Martin Ruskov, Dimitri Ognibene:
Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy. CoRR abs/2306.10645 (2023) - [i3]Emily Theophilou, Cansu Koyuturk, Mona Yavari, Sathya Bursic, Gregor Donabauer, Alessia Telari, Alessia Testa, Raffaele Boiano, Davinia Hernández Leo, Martin Ruskov, Davide Taibi, Alessandro Gabbiadini, Dimitri Ognibene:
Learning to Prompt in the Classroom to Understand AI Limits: A pilot study. CoRR abs/2307.01540 (2023) - 2022
- [c5]Francesco Periti, Alfio Ferrara, Stefano Montanelli, Martin Ruskov:
What is Done is Done: an Incremental Approach to Semantic Shift Detection. LChange@ACL 2022: 33-43 - [c4]Alfio Ferrara, Stefano Montanelli, Martin Ruskov:
Detecting the Semantic Shift of Values in Cultural Heritage Document Collections (short paper). AI4CH@AI*IA 2022: 35-43 - [c3]Martin Ruskov, Lora Taseva:
Computer-Aided Modelling of the Bilingual Word Indices to the Nineth-Century Uchitel'noe evangelie. TPDL Workshops 2022: 19-31 - [i2]Martin Ruskov, Paul Ekblom, M. Angela Sasse:
Getting Users Smart Quick about Security: Results from 90 Minutes of Using a Persuasive Toolkit for Facilitating Information Security Problem Solving by Non-Professionals. CoRR abs/2209.02420 (2022) - [i1]Martin Ruskov, Lora Taseva:
Computer-Aided Modelling of the Bilingual Word Indices to the Ninth-Century Uchitel'noe evangelie. CoRR abs/2211.05579 (2022)
2010 – 2019
- 2014
- [j2]Ben Cowley, Martino Fantato, Charlene Jennett, Martin Ruskov, Niklas Ravaja:
Learning When Serious: Psychophysiological Evaluation of a Technology-Enhanced Learning Game. J. Educ. Technol. Soc. 17(1): 3-16 (2014) - [p1]Martin Ruskov, Paul Ekblom, M. Angela Sasse:
Towards a Simulation of Information Security Behaviour in Organisations. Cyberpatterns 2014: 177-184 - 2012
- [c2]Stefano Bocconi, Yulia Bachvarova, Martin Ruskov, Manuel Fradinho Duarte de Oliveira:
Dealing with Threshold Concepts in Serious Games for Competence Development. SGDA 2012: 158-169 - 2011
- [j1]William Seager, Martin Ruskov, M. Angela Sasse, Manuel Oliveira:
Eliciting and modelling expertise for serious games in project management. Entertain. Comput. 2(2): 75-80 (2011) - [c1]Martin Ruskov, William Seager:
What Can Bits Teach about Leadership: A Study of the Application of Variation Theory in Serious Games. SGDA 2011: 49-60
Coauthor Index
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