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
M Ackerman, S Ben-David
Proceedings of Neural Information Processing Systems (NIPS), 121-128, 2008
1952008
Clusterability: A theoretical study
M Ackerman, S Ben-David
Artificial intelligence and statistics, 1-8, 2009
1412009
To cluster, or not to cluster: An analysis of clusterability methods
A Adolfsson, M Ackerman, NC Brownstein
Pattern Recognition 88, 13-26, 2019
742019
Weighted clustering
M Ackerman, S Ben-David, S Brânzei, D Loker
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 2012
732012
Towards property-based classification of clustering paradigms
M Ackerman, S Ben-David, D Loker
Advances in Neural Information Processing Systems 23, 10-18, 2010
682010
Incremental clustering: The case for extra clusters
M Ackerman, S Dasgupta
arXiv preprint arXiv:1406.6398, 2014
662014
Characterization of Linkage-based Clustering.
M Ackerman, S Ben-David, D Loker
COLT, 270-281, 2010
552010
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
512012
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
282013
A characterization of linkage-based hierarchical clustering
M Ackerman, S Ben-David
The Journal of Machine Learning Research 17 (1), 8182-8198, 2016
262016
Algorithmic songwriting with alysia
M Ackerman, D Loker
International conference on evolutionary and biologically inspired music and …, 2017
232017
Discerning linkage-based algorithms among hierarchical clustering methods
M Ackerman, S Ben-David
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
162011
The authorship dilemma: alphabetical or contribution?
M Ackerman, S Brânzei
Autonomous Agents and Multi-Agent Systems 31 (5), 1077-1093, 2017
142017
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
122019
Efficient enumeration of words in regular languages
M Ackerman, J Shallit
Theoretical computer science 410 (37), 3461-3470, 2009
122009
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
102016
Which data sets are clusterable?-a theoretical study of clusterability
M Ackerman, S Ben-David
preprint, 2008
102008
Teaching computational creativity
M ACKERMAN, A Goel, C JOHNSON, A Jordanous, C León, ...
ICCC, 2017
92017
A ballad of the Mexicas: Automated lyrical narrative writing
D Singh, M ACKERMAN, R PEREZ Y PEREZ
ICCC, 2017
92017
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