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Margareta Ackerman · SciRah

Researcher profile · Semantic Scholar

Margareta Ackerman

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Margareta Ackerman — researcher profile on SciRah

h-index: 18
Works: 77
Citations: 1,538

Most-cited papers

To Cluster, or Not to Cluster: An Analysis of Clusterability Methods
Andreas Adolfsson, Margareta Ackerman, Naomi C. Brownstein
2018Pattern Recognition248 citations Open access
Semantic Scholar
Measures of Clustering Quality: A Working Set of Axioms for Clustering
S. Ben-David, Margareta Ackerman
2008Neural Information Processing Systems209 citations
Semantic Scholar
Clusterability: A Theoretical Study
Margareta Ackerman, Shai Ben-David
2009International Conference on Artificial Intelligence and Statistics140 citations
Semantic Scholar
Use of multidetector computed tomography for the assessment of acute chest pain: a consensus statement of the North American Society of Cardiac Imaging and the European Society of Cardiac Radiology
A. Stillman, M. Oudkerk, Margareta Ackerman, Christoph R. Becker +15 more
2007The International Journal of Cardiovascular Imaging104 citations Open access
Semantic Scholar
Towards Property-Based Classification of Clustering Paradigms
Margareta Ackerman, Shai Ben-David, D. Loker
2010Neural Information Processing Systems79 citations
Semantic Scholar
Weighted Clustering
Margareta Ackerman, Shai Ben-David, Simina Brânzei, D. Loker
2011AAAI Conference on Artificial Intelligence75 citations Open access
Semantic Scholar
Incremental Clustering: The Case for Extra Clusters
Margareta Ackerman, S. Dasgupta
2014Neural Information Processing Systems71 citations
Semantic Scholar
A Characterization of Linkage-Based Hierarchical Clustering
Margareta Ackerman, S. Ben-David
2016Journal of machine learning research53 citations
Semantic Scholar
Human Cluster Evaluation and Formal Quality Measures: A Comparative Study
J. Lewis, Margareta Ackerman, V. D. de Sa
2012Annual Meeting of the Cognitive Science Society50 citations
Semantic Scholar
Characterization of Linkage-based Clustering
Margareta Ackerman, Shai Ben-David, D. Loker
2010Annual Conference Computational Learning Theory50 citations
Semantic Scholar
Descriptive statistics and visualization of data from the R datasets package with implications for clusterability
Naomi C. Brownstein, Andreas Adolfsson, Margareta Ackerman
2019Data in Brief48 citations Open access
Semantic Scholar
Algorithmic Songwriting with ALYSIA
Margareta Ackerman, D. Loker
2016EvoMUSART42 citations
Semantic Scholar
Clustering Oligarchies
Margareta Ackerman, S. Ben-David, D. Loker, Sivan Sabato
2013International Conference on Artificial Intelligence and Statistics29 citations
Semantic Scholar
Orthogonal query recommendation
H. Vahabi, Margareta Ackerman, D. Loker, R. Baeza-Yates +1 more
2013ACM Conference on Recommender Systems27 citations
Semantic Scholar
Co-PoeTryMe: Interactive poetry generation
Hugo Gonçalo Oliveira, Tiago Mendes, A. Boavida, Ai Nakamura +1 more
2019Cognitive Systems Research25 citations
Semantic Scholar
Simultaneous and Successive Discrimination of Similar Letters.
Joanna P. Williams, Margareta Ackerman
197124 citations
Semantic Scholar
Efficient enumeration of words in regular languages
Margareta Ackerman, J. Shallit
2009Theoretical Computer Science23 citations Open access
Semantic Scholar
Teaching Computational Creativity
Margareta Ackerman, Ashok K. Goel, Colin G. Johnson, Anna Jordanous +4 more
2017ICCC19 citations Open access
Semantic Scholar
Weighted clustering: Towards solving the user's dilemma
Margareta Ackerman, Shai Ben-David, Simina Brânzei, D. Loker
2021Pattern Recognition17 citations
Semantic Scholar
Interactive Augmented Reality for Dance
Taylor Brockhoeft, Jennifer Petuch, James Bach, Emil Djerekarov +2 more
2016ICCC17 citations
Semantic Scholar
The authorship dilemma: alphabetical or contribution?
Margareta Ackerman, Simina Brânzei
2012Autonomous Agents and Multi-Agent Systems16 citations
Semantic Scholar
Which Data Sets are ‘Clusterable’? – A Theoretical Study of Clusterability
Margareta Ackerman, S. Ben-David
200814 citations
Semantic Scholar
Brilliance Bias in GPT-3
Juliana Shihadeh, Margareta Ackerman, Ashley Troske, Nicole Lawson +1 more
2022IEEE Global Humanitarian Technology Conference12 citations
Semantic Scholar
Co-Creative Songwriting for Bereavement Support
Lee Cheatley, Margareta Ackerman, A. Pease, Wendy Moncur
2020ICCC12 citations
Semantic Scholar
A Ballad of the Mexicas: Automated Lyrical Narrative Writing
Divyajyoti Singh, Margareta Ackerman, R. P. Ý. Pérez
2017ICCC12 citations
Semantic Scholar
An Effective and Efficient Approach for Clusterability Evaluation
Margareta Ackerman, Andreas Adolfsson, Naomi C. Brownstein
2016arXiv.org12 citations
Semantic Scholar
Three New Algorithms for Regular Language Enumeration
Margareta Ackerman, Erkki Mäkinen
2009International Computing and Combinatorics Conference11 citations
Semantic Scholar
Towards Theoretical Foundations of Clustering
Margareta Ackerman
20129 citations
Semantic Scholar
EMILY: An Emily Dickinson Machine
Juliana Shihadeh, Margareta Ackerman
2020ICCC8 citations
Semantic Scholar
CAEP 2015 Academic Symposium: Recommendations for University Governance and Administration for Emergency Medicine.
D. Petrie, Anil Chopra, A. Chochinov, J. Artz +7 more
2016CJEM8 citations Open access
Semantic Scholar
Efficient Enumeration of Regular Languages
Margareta Ackerman, J. Shallit
2007International Conference on Implementation and Application of Automata8 citations
Semantic Scholar
Effects of rooting via outgroups on ingroup topology in phylogeny
Margareta Ackerman, Daniel G. Brown, D. Loker
2012International Conference on Computational Advances in Bio and Medical Sciences6 citations
Semantic Scholar
Research Quality, Fairness, and Authorship Order
Margareta Ackerman, Simina Brânzei
2012arXiv.org6 citations
Semantic Scholar
A Roadmap for Therapeutic Computational Creativity
A. Pease, Margareta Ackerman, Nic Pease, Bernadette McFadden
2022ICCC5 citations
Semantic Scholar
To Cluster, or Not to Cluster: How to Answer the Question
Andreas Adolfsson, Margareta Ackerman, Naomi C. Brownstein
20175 citations
Semantic Scholar
Musical creativity support tools for bereavement support
Lee Cheatley, Margareta Ackerman, A. Pease, Wendy Moncur
2022Digital Creativity4 citations Open access
Semantic Scholar
Investors Embrace Gender Diversity, Not Female CEOs: The Role of Gender in Startup Fundraising
Christopher Cassion, Yuhang Qian, C. Bossou, Margareta Ackerman
2021Intelligent Technologies for Interactive Entertainment4 citations Open access
Semantic Scholar
A Climate Change Educational Creator
Jun Chang, Margareta Ackerman
2020ICCC4 citations
Semantic Scholar
Acquisition and Transfer Value of Initial Training with Multiple Grapheme-Phoneme Correspondence.
Margareta Ackerman
19734 citations
Semantic Scholar
What does genius look like? Investigating brilliance bias in AI-generated images
Juliana Shihadeh, Margareta Ackerman, D. Loker
2025Ai & Society3 citations Open access
Semantic Scholar
Towards a Methodology for Field Work in Computational Creativity
R. P. Ý. Pérez, Margareta Ackerman
2020New generation computing3 citations
Semantic Scholar
Foundations of Perturbation Robust Clustering
Jarrod Moore, Margareta Ackerman
2016Industrial Conference on Data Mining3 citations
Semantic Scholar
Musical Mandala Mindfulness: A Generative Biofeedback Experience
Andreas Adolfsson, Jonathan Bernal, Margareta Ackerman, Julia Scott
20202 citations
Semantic Scholar
MindMusic: Brain-Controlled Musical Improvisation
R. Goldstein, Andy Vainauskas, Margareta Ackerman, R. Keller
2019ICCC2 citations
Semantic Scholar
Field Work in Computational Creativity
Margareta Ackerman, R. P. Ý. Pérez
2019ICCC2 citations
Semantic Scholar
Co-Creative Conceptual Art
J. Morgan, Margareta Ackerman, Christopher Cassion
2018ICCC2 citations
Semantic Scholar
What Does Genius Look Like? An Analysis of Brilliance Bias in Text-to-Image Models
Juliana Shihadeh, Margareta Ackerman
2023ICCC1 citations
Semantic Scholar
Shattering Bias: A Path to Bridging the Gender Divide with Creative Machines
Juliana Shihadeh, Margareta Ackerman
2023ICCC1 citations
Semantic Scholar
Uncovering Group Level Insights with Accordant Clustering
Amit Dhurandhar, Margareta Ackerman, Xiang Wang
2017SDM1 citations Open access
Semantic Scholar
When is Clustering Perturbation Robust?
Margareta Ackerman, Jarrod Moore
2016arXiv.org1 citations
Semantic Scholar

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Andreas Adolfsson×5
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Juliana Shihadeh×5
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Naomi C. Brownstein

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