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Maya (Margareta) Ackerman
Maya (Margareta) Ackerman
WaveAI, Santa Clara University
Verified email at wave-ai.net - Homepage
Title
Cited by
Cited by
Year
Measures of clustering quality: A working set of axioms for clustering
S Ben-David, M Ackerman
Advances in neural information processing systems 21, 2008
2302008
To cluster, or not to cluster: An analysis of clusterability methods
A Adolfsson, M Ackerman, NC Brownstein
Pattern Recognition 88, 13-26, 2019
1622019
Clusterability: A theoretical study
M Ackerman, S Ben-David
Artificial intelligence and statistics, 1-8, 2009
1582009
Weighted clustering
M Ackerman, S Ben-David, S Brânzei, D Loker
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 858-863, 2012
832012
Towards property-based classification of clustering paradigms
M Ackerman, S Ben-David, D Loker
Advances in Neural Information Processing Systems 23, 2010
802010
Incremental clustering: The case for extra clusters
M Ackerman, S Dasgupta
Advances in Neural Information Processing Systems 27, 2014
742014
Human cluster evaluation and formal quality measures: A comparative study
J Lewis, M Ackerman, V de Sa
Proceedings of the Annual Meeting of the Cognitive Science Society 34 (34), 2012
612012
Characterization of linkage-based clustering.
M Ackerman, S Ben-David, D Loker
COLT 2010, 270-281, 2010
592010
A characterization of linkage-based hierarchical clustering
M Ackerman, S Ben-David
The Journal of Machine Learning Research 17 (1), 8182-8198, 2016
452016
Algorithmic songwriting with alysia
M Ackerman, D Loker
International conference on evolutionary and biologically inspired music and …, 2017
382017
Orthogonal query recommendation
H Vahabi, M Ackerman, D Loker, R Baeza-Yates, A Lopez-Ortiz
Proceedings of the 7th ACM Conference on Recommender Systems, 33-40, 2013
322013
Clustering oligarchies
M Ackerman, S Ben-David, D Loker, S Sabato
Artificial Intelligence and Statistics, 66-74, 2013
302013
Descriptive statistics and visualization of data from the R datasets package with implications for clusterability
NC Brownstein, A Adolfsson, M Ackerman
Data in brief 25, 104004, 2019
242019
Discerning linkage-based algorithms among hierarchical clustering methods
M Ackerman, S Ben-David
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
192011
The authorship dilemma: alphabetical or contribution?
M Ackerman, S Brânzei
Autonomous Agents and Multi-Agent Systems 31 (5), 1077-1093, 2017
182017
Efficient enumeration of words in regular languages
M Ackerman, J Shallit
Theoretical Computer Science 410 (37), 3461-3470, 2009
172009
Co-PoeTryMe: interactive poetry generation
HG Oliveira, T Mendes, A Boavida, A Nakamura, M Ackerman
Cognitive Systems Research 54, 199-216, 2019
162019
Teaching computational creativity
M ACKERMAN, A Goel, C JOHNSON, A Jordanous, C León, ...
ICCC, 2017
132017
Interactive augmented reality for dance
T Brockhoeft, J Petuch, J Bach, E Djerekarov, M Ackerman, G Tyson
Proceedings of the Seventh International Conference on Computational …, 2016
132016
Which data sets are clusterable?-a theoretical study of clusterability
M Ackerman, S Ben-David
preprint, 2008
132008
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