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2020 – today
- 2020
[j7]Sezin Gizem Yaman, Fabian Fagerholm
, Myriam Munezero, Tomi Männistö, Tommi Mikkonen:
Patterns of user involvement in experiment-driven software development. Inf. Softw. Technol. 120: 106244 (2020)
2010 – 2019
- 2019
- [j6]Sezin Gizem Yaman, Myriam Munezero, Jürgen Münch, Fabian Fagerholm, Ossi Syd, Mika Aaltola, Christina Palmu, Tomi Männistö:
Corrigendum to "Introducing continuous experimentation in large software-intensive product and service organisations" [The Journal of Systems and Software 133 (2017) 195-211]. J. Syst. Softw. 151: 119 (2019) - 2018
- [j5]Magnus Melin, Asta Bäck, Caj Södergård, Myriam Munezero, Leo Leppänen, Hannu Toivonen:
No Landslide for the Human Journalist - An Empirical Study of Computer-Generated Election News in Finland. IEEE Access 6: 43356-43367 (2018) - [c14]Rola Alhalaseh, Myriam Munezero, Miika Leinonen, Leo Leppänen, Jari Avikainen, Hannu Toivonen:
Towards Data-Driven Generation of Visualizations for Automatically Generated News Articles. MindTrek 2018: 100-109 - 2017
- [j4]Sezin Gizem Yaman, Myriam Munezero, Jürgen Münch, Fabian Fagerholm, Ossi Syd, Mika Aaltola, Christina Palmu, Tomi Männistö:
Introducing continuous experimentation in large software-intensive product and service organisations. J. Syst. Softw. 133: 195-211 (2017) - [c13]Sezin Gizem Yaman, Fabian Fagerholm, Myriam Munezero, Hanna Mäenpää, Tomi Männistö:
Notifying and Involving Users in Experimentation: Ethical Perceptions of Software Practitioners. ESEM 2017: 199-204 - [c12]Myriam Munezero, Tero Kojo, Tomi Männistö:
An Exploratory Analysis of a Hybrid OSS Company's Forum in Search of Sales Leads. ESEM 2017: 442-447 - [c11]Leo Leppänen, Myriam Munezero, Mark Granroth-Wilding, Hannu Toivonen:
Data-Driven News Generation for Automated Journalism. INLG 2017: 188-197 - [c10]Hanna Mäenpää, Fabian Fagerholm, Myriam Munezero, Terhi Kilamo, Tommi Mikkonen:
Entering an Ecosystem: The Hybrid OSS Landscape from a Developer Perspective. IWSECO 2017: 127-137 - [c9]Leo Leppänen, Myriam Munezero, Stefanie Sirén-Heikel, Mark Granroth-Wilding, Hannu Toivonen:
Finding and expressing news from structured data. MindTrek 2017: 174-183 - [c8]Hanna Mäenpää, Myriam Munezero, Fabian Fagerholm, Tommi Mikkonen:
The many hats and the broken binoculars: State of the practice in developer community management. OpenSym 2017: 18:1-18:9 - 2016
- [j3]Yuki Kobayashi, Myriam Munezero, Maxim Mozgovoy:
Analysis of Emotions in Real-time Twitter Streams. Informatica (Slovenia) 40(4) (2016) - [c7]Hanna Mäenpää, Tero Kojo, Myriam Munezero, Fabian Fagerholm, Terhi Kilamo, Mikko Nurminen, Tomi Männistö:
Supporting Management of Hybrid OSS Communities - A Stakeholder Analysis Approach. PROFES 2016: 102-108 - [c6]Sezin Gizem Yaman, Fabian Fagerholm, Myriam Munezero, Jürgen Münch, Mika Aaltola, Christina Palmu, Tomi Männistö:
Transitioning Towards Continuous Experimentation in a Large Software Product and Service Development Organisation - A Case Study. PROFES 2016: 344-359 - 2015
- [c5]Myriam Munezero, Calkin Suero Montero, Maxim Mozgovoy, Erkki Sutinen:
EmoTwitter - A Fine-Grained Visualization System for Identifying Enduring Sentiments in Tweets. CICLing (2) 2015: 78-91 - 2014
- [j2]Myriam Munezero, Calkin Suero Montero, Tuomo Kakkonen, Erkki Sutinen, Maxim Mozgovoy, Vitaly Klyuev:
Automatic Detection of Antisocial Behaviour in Texts. Informatica (Slovenia) 38(1) (2014) - [j1]Myriam Munezero, Calkin Suero Montero, Erkki Sutinen, John Pajunen:
Are They Different? Affect, Feeling, Emotion, Sentiment, and Opinion Detection in Text. IEEE Trans. Affect. Comput. 5(2): 101-111 (2014) - [c4]Calkin Suero Montero, Myriam Munezero, Tuomo Kakkonen:
Investigating the Role of Emotion-Based Features in Author Gender Classification of Text. CICLing (2) 2014: 98-114 - 2013
- [c3]Myriam Munezero, Maxim Mozgovoy, Tuomo Kakkonen, Vitaly Klyuev, Erkki Sutinen:
Antisocial Behavior Corpus for Harmful Language Detection. FedCSIS 2013: 261-265 - [c2]Myriam Munezero, Tuomo Kakkonen, Carolina Islas Sedano, Erkki Sutinen, Calkin Suero Montero:
EmotionExpert: Facebook game for crowdsourcing annotations for emotion detection. IGIC 2013: 179-186 - [c1]Myriam Munezero, Calkin Suero Montero, Maxim Mozgovoy, Erkki Sutinen:
Exploiting sentiment analysis to track emotions in students' learning diaries. Koli Calling 2013: 145-152
Coauthor Index
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