News - Institute of Computer Science Polish Academy of Sciences

New classification methods for data with incomplete observability

The Statistical Analysis and Modeling Group of IPI PAN achieved significant results regarding two new machine learning methods for positive-unlabeld data in an important case when their availability depends on the characteristics of the examined entities. The first proposed method examined a new parametric model for generating this type of data and an iterative procedure for estimating its parameters. The second method is based on the concept of variational autoencoders combined with outlier detection techniques. In addition to the theoretical justification of the methods, a significantly better quality of the resulting classifiers for tabular and image data was experimentally demonstrated.

Both methods were presented at the European Conference on Artificial Intelligence, ECAI 2023, which took place in Krakow on September 30-October 4, 2023.

Is Bonnie (syntactically) more important than Clyde?

In an article accepted for this year's Annual Meeting of the Association for Computational Linguistics – the most important and largest conference on computational linguistics – a professor of linguistics from the Institute of Computer Science of the Polish Academy of Sciences and the University of Warsaw, together with a student of cognitive science at the University of Warsaw – presented a new argument for symmetric theories of coordinate structures.

This argument is based on automatic processing of large collections of texts, in this case English texts, and on advanced statistical analysis of extracted linguistic data.

Maximizing information, minimizing costs: Optimal selection of variables in multi-label classification

The article "Cost-constrained feature selection in multilabel classification using an information-theoretic approach " has been published in the Pattern Recognition journal. The article was co-authored by Tomasz Klonecki, a student of the Information and Biomedical Technologies Polish Academy of Sciences (TIB PAN) Doctoral School, Dr. Paweł Teisseyre from the Institute of Computer Science of the Polish Academy of Sciences and Prof. Jaesung Lee from Chung-Ang University, Rebublic of Korea.

Automatic generation of multiple labeled test data sets

The article "On the Discrepancy between Kleinberg's Clustering Axioms and k-Means Clustering Algorithm Behavior" has been published in the journal "Machine Learning". The article was co-authored by Professor Mieczysław Kłopotek from the Institute of Computer Science of the Polish Academy of Sciences.

Professor Marta Kwiatkowska elected to American Academy of Arts and Sciences

We are pleased to announce that Professor Marta Kwiatkowska has been elected as a member of the American Academy of Arts and Sciences. Professor Kwiatkowska will be a part of Section 6 – Computer Sciences as the International Honorary Member, in the class I – Mathematical and Physical Sciences of the American Academy.

News of the Institute of Computer Science Polish Academy of Sciences

New classification methods for data with incomplete observability

Is Bonnie (syntactically) more important than Clyde?

Maximizing information, minimizing costs: Optimal selection of variables in multi-label classification

Automatic generation of multiple labeled test data sets

Professor Marta Kwiatkowska elected to American Academy of Arts and Sciences

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