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Dmitrii Ignatov

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Interpretable Concept-Based Classification with Shapley Values
AIST2019 – opening slides
Turning Krimp into a Triclustering Technique on Sets of Attribute-Condition Pairs that Compress
Personal Experiences of Publishing with Springer from both Editor and Author Perspectives
On the Family of Concept Forming Operators in Polyadic FCA
Sequence mining
NIPS 2016, Tensor-Learn@NIPS, and IEEE ICDM 2016
Searching for optimal patterns in Boolean tensors
Experimental Economics and Machine Learning workshop
Pattern-based classification of demographic sequences
A lattice-based consensus clustering
A lattice-based consensus clustering
AIST 2016 Opening Slides
Putting OAC-triclustering on MapReduce