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Margareta Ackerman
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Books and Theses
- 2012
- [b1]Margareta Ackerman:
Towards Theoretical Foundations of Clustering. University of Waterloo, Ontario, Canada, 2012
Journal Articles
- 2022
- [j9]Lee Cheatley, Margareta Ackerman, Alison Pease, Wendy Moncur:
Musical creativity support tools for bereavement support. Digit. Creativity 33(1): 1-17 (2022) - 2021
- [j8]Margareta Ackerman, Shai Ben-David, Simina Brânzei, David Loker:
Weighted clustering: Towards solving the user's dilemma. Pattern Recognit. 120: 108152 (2021) - 2020
- [j7]Rafael Pérez y Pérez, Margareta Ackerman:
Towards a Methodology for Field Work in Computational Creativity. New Gener. Comput. 38(4): 713-737 (2020) - 2019
- [j6]Hugo Gonçalo Oliveira, Tiago Mendes, Ana Boavida, Ai Nakamura, Margareta Ackerman:
Co-PoeTryMe: Interactive poetry generation. Cogn. Syst. Res. 54: 199-216 (2019) - [j5]Andreas Adolfsson, Margareta Ackerman, Naomi C. Brownstein:
To cluster, or not to cluster: An analysis of clusterability methods. Pattern Recognit. 88: 13-26 (2019) - 2017
- [j4]Margareta Ackerman, Simina Brânzei:
The authorship dilemma: alphabetical or contribution? Auton. Agents Multi Agent Syst. 31(5): 1077-1093 (2017) - 2016
- [j3]Margareta Ackerman, Shai Ben-David:
A Characterization of Linkage-Based Hierarchical Clustering. J. Mach. Learn. Res. 17: 232:1-232:17 (2016) - 2014
- [j2]Margareta Ackerman, Daniel G. Brown, David Loker:
Effects of rooting via out-groups on in-group topology in phylogeny. Int. J. Bioinform. Res. Appl. 10(4/5): 426-446 (2014) - 2009
- [j1]Margareta Ackerman, Jeffrey O. Shallit:
Efficient enumeration of words in regular languages. Theor. Comput. Sci. 410(37): 3461-3470 (2009)
Conference and Workshop Papers
- 2023
- [c32]Juliana Shihadeh, Margareta Ackerman:
What Does Genius Look Like? An Analysis of Brilliance Bias in Text-to-Image Models. ICCC 2023: 235-244 - [c31]Juliana Shihadeh, Margareta Ackerman:
Shattering Bias: A Path to Bridging the Gender Divide with Creative Machines. ICCC 2023: 278-282 - [c30]Lauryn Gayhardt, Margareta Ackerman, Lee Cheatley:
Fostering Mental Well-Being through Creative Interaction: An Assessment of SOVIA. ICCC 2023: 362-366 - 2022
- [c29]Juliana Shihadeh, Margareta Ackerman, Ashley Troske, Nicole Lawson, Edith Gonzalez:
Brilliance Bias in GPT-3. GHTC 2022: 62-69 - [c28]Alison Pease, Margareta Ackerman, Nic Pease, Bernadette McFadden:
A Roadmap for Therapeutic Computational Creativity. ICCC 2022: 261-270 - 2020
- [c27]Lee Cheatley, Margareta Ackerman, Alison Pease, Wendy Moncur:
Co-Creative Songwriting for Bereavement Support. ICCC 2020: 33-40 - [c26]Jun Chang, Margareta Ackerman:
A Climate Change Educational Creator. ICCC 2020: 77-80 - [c25]Juliana Shihadeh, Margareta Ackerman:
EMILY: An Emily Dickinson Machine. ICCC 2020: 243-246 - [c24]Christopher Cassion, Yuhang Qian, Constant Bossou, Margareta Ackerman:
Investors Embrace Gender Diversity, Not Female CEOs: The Role of Gender in Startup Fundraising. INTETAIN 2020: 145-164 - 2019
- [c23]Margareta Ackerman, Rafael Pérez y Pérez:
Field Work in Computational Creativity. ICCC 2019: 236-242 - [c22]Rachel Goldstein, Andy Vainauskas, Margareta Ackerman, Robert M. Keller:
MindMusic: Brain-Controlled Musical Improvisation. ICCC 2019: 282-285 - 2018
- [c21]James Morgan, Margareta Ackerman, Christopher Cassion:
Co-Creative Conceptual Art. ICCC 2018: 1-8 - 2017
- [c20]Margareta Ackerman, David Loker:
Algorithmic Songwriting with ALYSIA. EvoMUSART 2017: 1-16 - [c19]Margareta Ackerman, Ashok K. Goel, Colin G. Johnson, Anna Jordanous, Carlos León, Rafael Pérez y Pérez, Hannu Toivonen, Dan Ventura:
Teaching Computational Creativity. ICCC 2017: 9-16 - [c18]Divya Singh, Margareta Ackerman, Rafael Pérez y Pérez:
A Ballad of the Mexicas: Automated Lyrical Narrative Writing. ICCC 2017: 229-236 - [c17]Amit Dhurandhar, Margareta Ackerman, Xiang Wang:
Uncovering Group Level Insights with Accordant Clustering. SDM 2017: 228-236 - 2016
- [c16]Taylor Brockhoeft, Jennifer Petuch, James Bach, Emil Djerekarov, Margareta Ackerman, Gary Tyson:
Interactive Augmented Reality for Dance. ICCC 2016: 396-403 - [c15]Jarrod Moore, Margareta Ackerman:
Foundations of Perturbation Robust Clustering. ICDM 2016: 1089-1094 - 2014
- [c14]Margareta Ackerman, Simina Brânzei:
The authorship dilemma: alphabetical or contribution? AAMAS 2014: 1487-1488 - [c13]Margareta Ackerman, Sanjoy Dasgupta:
Incremental Clustering: The Case for Extra Clusters. NIPS 2014: 307-315 - 2013
- [c12]Margareta Ackerman, Shai Ben-David, David Loker, Sivan Sabato:
Clustering Oligarchies. AISTATS 2013: 66-74 - [c11]Hossein Vahabi, Margareta Ackerman, David Loker, Ricardo Baeza-Yates, Alejandro López-Ortiz:
Orthogonal query recommendation. RecSys 2013: 33-40 - 2012
- [c10]Margareta Ackerman, Shai Ben-David, Simina Brânzei, David Loker:
Weighted Clustering. AAAI 2012: 858-863 - [c9]Joshua M. Lewis, Margareta Ackerman, Virginia R. de Sa:
Human Cluster Evaluation and Formal Quality Measures: A Comparative Study. CogSci 2012 - [c8]Margareta Ackerman, Dan Brown, David Loker:
Effects of rooting via outgroups on ingroup topology in phylogeny. ICCABS 2012: 1-7 - 2011
- [c7]Margareta Ackerman, Shai Ben-David:
Discerning Linkage-Based Algorithms among Hierarchical Clustering Methods. IJCAI 2011: 1140-1145 - 2010
- [c6]Margareta Ackerman, Shai Ben-David, David Loker:
Characterization of Linkage-based Clustering. COLT 2010: 270-281 - [c5]Margareta Ackerman, Shai Ben-David, David Loker:
Towards Property-Based Classification of Clustering Paradigms. NIPS 2010: 10-18 - 2009
- [c4]Margareta Ackerman, Erkki Mäkinen:
Three New Algorithms for Regular Language Enumeration. COCOON 2009: 178-191 - [c3]Margareta Ackerman, Shai Ben-David:
Clusterability: A Theoretical Study. AISTATS 2009: 1-8 - 2008
- [c2]Shai Ben-David, Margareta Ackerman:
Measures of Clustering Quality: A Working Set of Axioms for Clustering. NIPS 2008: 121-128 - 2007
- [c1]Margareta Ackerman, Jeffrey O. Shallit:
Efficient Enumeration of Regular Languages. CIAA 2007: 226-242
Informal and Other Publications
- 2018
- [i9]Andreas Adolfsson, Margareta Ackerman, N. C. Brownstein:
To Cluster, or Not to Cluster: An Analysis of Clusterability Methods. CoRR abs/1808.08317 (2018) - 2017
- [i8]Amit Dhurandhar, Margareta Ackerman, Xiang Wang:
Uncovering Group Level Insights with Accordant Clustering. CoRR abs/1704.02378 (2017) - 2016
- [i7]Margareta Ackerman, Jarrod Moore:
When is Clustering Perturbation Robust? CoRR abs/1601.05900 (2016) - [i6]Margareta Ackerman, Andreas Adolfsson, Naomi Brownstein:
An Effective and Efficient Approach for Clusterability Evaluation. CoRR abs/1602.06687 (2016) - [i5]Margareta Ackerman, David Loker:
Algorithmic Songwriting with ALYSIA. CoRR abs/1612.01058 (2016) - 2014
- [i4]Margareta Ackerman, Sanjoy Dasgupta:
Incremental Clustering: The Case for Extra Clusters. CoRR abs/1406.6398 (2014) - 2012
- [i3]Margareta Ackerman, Simina Brânzei:
Research Quality, Fairness, and Authorship Order. CoRR abs/1208.3391 (2012) - 2011
- [i2]Margareta Ackerman, David Loker, Alejandro López-Ortiz:
Orthogonal Query Expansion. CoRR abs/1109.0530 (2011) - [i1]Margareta Ackerman, Shai Ben-David, Simina Brânzei, David Loker:
Weighted Clustering. CoRR abs/1109.1844 (2011)
Coauthor Index
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