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Marek Gagolewski
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2020 – today
- 2024
- [j48]Jianzhang Wu
, Gleb Beliakov, Simon James
Random generation of linearly constrained fuzzy measures and domain coverage performance evaluation. Inf. Sci. 659: 120080 (2024) - [j47]Lucio Bertoli-Barsotti, Marek Gagolewski
Gini-stable Lorenz curves and their relation to the generalised Pareto distribution. J. Informetrics 18(2): 101499 (2024) - [j46]Lucio Bertoli-Barsotti, Marek Gagolewski
Equivalence of inequality indices in the three-dimensional model of informetric impact. J. Informetrics 18(4): 101566 (2024) - [c30]Gleb Beliakov, Simon James, Jian-Zhang Wu, Marek Gagolewski:
A Tractable Approach to Fitting the Choquet Integral for Explainable Prediction and Analysis. FUZZ 2024: 1-8 - 2023
- [j45]Michal Boczek
A benchmark-type generalization of the Sugeno integral with applications in bibliometrics. Fuzzy Sets Syst. 466: 108479 (2023) - [j44]Marek Gagolewski
Hierarchical clustering with OWA-based linkages, the Lance-Williams formula, and dendrogram inversions. Fuzzy Sets Syst. 473: 108740 (2023) - [j43]Barbara Zogala-Siudem
Interpretable reparameterisations of citation models. J. Informetrics 17(1): 101355 (2023) - [i12]Marek Gagolewski:
Deep R Programming. CoRR abs/2301.01188 (2023) - [i11]Marek Gagolewski, Anna Cena, Maciej Bartoszuk, Lukasz Brzozowski:
Clustering with minimum spanning trees: How good can it be? CoRR abs/2303.05679 (2023) - [i10]Marek Gagolewski, Anna Cena, Simon James, Gleb Beliakov:
Hierarchical Clustering with OWA-based Linkages, the Lance-Williams Formula, and Dendrogram Inversions. CoRR abs/2303.05683 (2023) - [i9]Lukasz Brzozowski, Grzegorz Siudem, Marek Gagolewski:
Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering. CoRR abs/2303.12212 (2023) - [i8]Lucio Bertoli-Barsotti, Marek Gagolewski, Grzegorz Siudem, Barbara Zogala-Siudem:
Equivalence of inequality indices: Three dimensions of impact revisited. CoRR abs/2304.07479 (2023) - 2022
- [j42]Marek Gagolewski:
A critique of the bounded fuzzy possibilistic method. Fuzzy Sets Syst. 426: 176-181 (2022) - [j41]Gleb Beliakov
Hierarchical data fusion processes involving the Möbius representation of capacities. Fuzzy Sets Syst. 433: 1-21 (2022) - [j40]Gleb Beliakov, Marek Gagolewski, Simon James
Reduction of variables and constraints in fitting antibuoyant fuzzy measures to data using linear programming. Fuzzy Sets Syst. 451: 266-284 (2022) - [j39]Agnieszka Geras
Time to vote: Temporal clustering of user activity on Stack Overflow. J. Assoc. Inf. Sci. Technol. 73(12): 1681-1691 (2022) - [j38]Anna Cena
Validating citation models by proxy indices. J. Informetrics 16(2): 101267 (2022) - [j37]Maciej J. Mrowinski
Accidentality in journal citation patterns. J. Informetrics 16(4): 101341 (2022) - [j36]Marek Gagolewski:
stringi: Fast and Portable Character String Processing in R. J. Stat. Softw. 103(2) (2022) - [j35]Marek Gagolewski
Ockham's index of citation impact. Scientometrics 127(5): 2829-2845 (2022) - [j34]Marek Gagolewski
Fairness in the three-dimensional model for citation impact. Scientometrics 127(10): 6055-6059 (2022) - [j33]Marek Gagolewski
A framework for benchmarking clustering algorithms. SoftwareX 20: 101270 (2022) - [i7]Marek Gagolewski, Maciej Bartoszuk, Anna Cena:
Are Cluster Validity Measures (In)valid? CoRR abs/2208.01261 (2022) - [i6]Marek Gagolewski:
Data Fusion: Theory, Methods, and Applications. CoRR abs/2208.01644 (2022) - [i5]Marek Gagolewski:
Adjusted Asymmetric Accuracy: A Well-Behaving External Cluster Validity Measure. CoRR abs/2209.02935 (2022) - [i4]Marek Gagolewski, Maciej Bartoszuk, Anna Cena:
Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm. CoRR abs/2209.05757 (2022) - [i3]Marek Gagolewski:
A Framework for Benchmarking Clustering Algorithms. CoRR abs/2209.09493 (2022) - [i2]Marek Gagolewski:
Minimalist Data Wrangling with Python. CoRR abs/2211.04630 (2022) - 2021
- [j32]Raúl Pérez-Fernández
On the aggregation of compositional data. Inf. Fusion 73: 103-110 (2021) - [j31]Marek Gagolewski, Maciej Bartoszuk
Are cluster validity measures (in) valid? Inf. Sci. 581: 620-636 (2021) - [j30]Maciej Bartoszuk
T-norms or t-conorms? How to aggregate similarity degrees for plagiarism detection. Knowl. Based Syst. 231: 107427 (2021) - [j29]Marek Gagolewski
genieclust: Fast and robust hierarchical clustering. SoftwareX 15: 100722 (2021) - [j28]Raúl Pérez-Fernández
A Characterization of the Property of Orthomonotonicity. IEEE Trans. Fuzzy Syst. 29(9): 2828 (2021) - 2020
- [j27]Lucian C. Coroianu
Constrained ordered weighted averaging aggregation with multiple comonotone constraints. Fuzzy Sets Syst. 395: 21-39 (2020) - [j26]Gleb Beliakov
Robust fitting for the Sugeno integral with respect to general fuzzy measures. Inf. Sci. 514: 449-461 (2020) - [j25]Anna Cena
Genie+OWA: Robustifying hierarchical clustering with OWA-based linkages. Inf. Sci. 520: 324-336 (2020) - [j24]Agnieszka Geras
Should we introduce a dislike button for academic articles? J. Assoc. Inf. Sci. Technol. 71(2): 221-229 (2020) - [j23]Maciej Bartoszuk
SimilaR: R Code Clone and Plagiarism Detection. R J. 12(1): 367 (2020) - [j22]Marek Gagolewski
An Inherent Difficulty in the Aggregation of Multidimensional Data. IEEE Trans. Fuzzy Syst. 28(3): 602-606 (2020)
2010 – 2019
- 2019
- [j21]Raúl Pérez-Fernández
A taxonomy of monotonicity properties for the aggregation of multidimensional data. Inf. Fusion 52: 322-334 (2019) - [j20]Gleb Beliakov
Aggregation on ordinal scales with the Sugeno integral for biomedical applications. Inf. Sci. 501: 377-387 (2019) - [j19]Lucian C. Coroianu, Marek Gagolewski
Piecewise linear approximation of fuzzy numbers: algorithms, arithmetic operations and stability of characteristics. Soft Comput. 23(19): 9491-9505 (2019) - [j18]Marek Gagolewski
Supervised Learning to Aggregate Data With the Sugeno Integral. IEEE Trans. Fuzzy Syst. 27(4): 810-815 (2019) - [c29]Lucian C. Coroianu
Penalty-Based Data Aggregation in Real Normed Vector Spaces. AGOP 2019: 160-171 - [e3]Radomír Halas, Marek Gagolewski, Radko Mesiar:
New Trends in Aggregation Theory, International Summer School on Aggregation Functions, AGOP 2019, Olomouc, Czech Republic, July 1-4, 2019. Advances in Intelligent Systems and Computing 981, Springer 2019, ISBN 978-3-030-19493-2 [contents] - 2018
- [j17]Gleb Beliakov, Marek Gagolewski
Measuring traffic congestion: An approach based on learning weighted inequality, spread and aggregation indices from comparison data. Appl. Soft Comput. 67: 910-919 (2018) - [c28]Gleb Beliakov, Marek Gagolewski
Least Median of Squares (LMS) and Least Trimmed Squares (LTS) Fitting for the Weighted Arithmetic Mean. IPMU (2) 2018: 367-378 - 2017
- [j16]Marek Gagolewski
Penalty-based aggregation of multidimensional data. Fuzzy Sets Syst. 325: 4-20 (2017) - [c27]Marek Gagolewski
Fitting Symmetric Fuzzy Measures for Discrete Sugeno Integration. EUSFLAT/IWIFSGN (2) 2017: 104-116 - [c26]Maciej Bartoszuk
Binary aggregation functions in software plagiarism detection. FUZZ-IEEE 2017: 1-6 - [c25]Anna Cena
OWA-based linkage and the genie correction for hierarchical clustering. FUZZ-IEEE 2017: 1-6 - [e2]Maria Brigida Ferraro, Paolo Giordani, Barbara Vantaggi, Marek Gagolewski, María Ángeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz:
Soft Methods for Data Science, SMPS 2016, Rome, Italy, 12-14 September, 2016. Advances in Intelligent Systems and Computing 456, Springer 2017, ISBN 978-3-319-42971-7 [contents] - 2016
- [j15]Gleb Beliakov, Marek Gagolewski
Penalty-Based and Other Representations of Economic Inequality. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 24(Supplement-1): 1-24 (2016) - [j14]Marek Gagolewski
Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm. Inf. Sci. 363: 8-23 (2016) - [j13]Radko Mesiar, Marek Gagolewski
H-Index and Other Sugeno Integrals: Some Defects and Their Compensation. IEEE Trans. Fuzzy Syst. 24(6): 1668-1672 (2016) - [c24]Anna Cena
Fuzzy K-Minpen Clustering and K-nearest-minpen Classification Procedures Incorporating Generic Distance-Based Penalty Minimizers. IPMU (2) 2016: 445-456 - [c23]Maciej Bartoszuk
Fitting Aggregation Functions to Data: Part I - Linearization and Regularization. IPMU (2) 2016: 767-779 - [c22]Maciej Bartoszuk
Fitting Aggregation Functions to Data: Part II - Idempotization. IPMU (2) 2016: 780-789 - [c21]Marek Gagolewski
Hierarchical Clustering via Penalty-Based Aggregation and the Genie Approach. MDAI 2016: 191-202 - 2015
- [j12]Marek Gagolewski
Spread measures and their relation to aggregation functions. Eur. J. Oper. Res. 241(2): 469-477 (2015) - [j11]Anna Cena
OM3: Ordered maxitive, minitive, and modular aggregation operators - Axiomatic and probabilistic properties in an arity-monotonic setting. Fuzzy Sets Syst. 264: 138-159 (2015) - [j10]Anna Cena
Problems and challenges of information resources producers' clustering. J. Informetrics 9(2): 273-284 (2015) - [c20]Anna Cena, Marek Gagolewski:
Aggregation and Soft Clustering of Informetric Data. AGOP 2015: 79-84 - [c19]Marek Gagolewski:
Some Issues in Aggregation of Multidimensional Data. AGOP 2015: 127-132 - [c18]Maciej Bartoszuk, Marek Gagolewski:
Detecting similarity of R functions via a fusion of multiple heuristic methods. IFSA-EUSFLAT 2015 - [c17]Anna Cena, Marek Gagolewski:
A K-means-like algorithm for informetric data clustering. IFSA-EUSFLAT 2015 - [c16]Marek Gagolewski:
Normalized WDpWAM and WDpOWA spread measures. IFSA-EUSFLAT 2015 - [c15]Marek Gagolewski, Jan Lasek:
Learning experts' preferences from informetric data. IFSA-EUSFLAT 2015 - [c14]Jan Lasek, Marek Gagolewski
The winning solution to the AAIA'15 data mining competition: Tagging Firefighter Activities at a Fire Scene. FedCSIS 2015: 375-380 - [c13]Jan Lasek, Marek Gagolewski:
Predictive Efficacy of a New Association Football League Format in Polish Ekstraklasa. MLSA@PKDD/ECML 2015: 1-9 - [e1]Przemyslaw Grzegorzewski, Marek Gagolewski, Olgierd Hryniewicz
Strengthening Links Between Data Analysis and Soft Computing, SMPS 2014, Warsaw, Poland, September 22-24, 2014. Advances in Intelligent Systems and Computing 315, Springer 2015, ISBN 978-3-319-10764-6 [contents] - [i1]Barbara Zogala-Siudem, Grzegorz Siudem, Anna Cena, Marek Gagolewski:
Agent-based model for the h-index - Exact solution. CoRR abs/1509.05798 (2015) - 2014
- [j9]Marek Gagolewski
Monotone measures and universal integrals in a uniform framework for the scientific impact assessment problem. Inf. Sci. 263: 166-174 (2014) - [c12]Maciej Bartoszuk
A Fuzzy R Code Similarity Detection Algorithm. IPMU (3) 2014: 21-30 - [c11]Lucian C. Coroianu, Marek Gagolewski
Piecewise Linear Approximation of Fuzzy Numbers Preserving the Support and Core. IPMU (2) 2014: 244-253 - [c10]Marek Gagolewski
The Use of Fuzzy Relations in the Assessment of Information Resources Producers' Performance. IEEE Conf. on Intelligent Systems (2) 2014: 289-300 - [c9]Marek Gagolewski
Sugeno Integral-Based Confidence Intervals for the Theoretical h-Index. SMPS 2014: 233-240 - 2013
- [j8]Lucian C. Coroianu, Marek Gagolewski
Nearest piecewise linear approximation of fuzzy numbers. Fuzzy Sets Syst. 233: 26-51 (2013) - [j7]Marek Gagolewski
On the relationship between symmetric maxitive, minitive, and modular aggregation operators. Inf. Sci. 221: 170-180 (2013) - [j6]Marek Gagolewski
Scientific impact assessment cannot be fair. J. Informetrics 7(4): 792-802 (2013) - [c8]Anna Cena
OM3: Ordered Maxitive, Minitive, and Modular Aggregation Operators: Axiomatic Analysis under Arity-Dependence (I). AGOP 2013: 93-103 - [c7]Anna Cena
OM3: Ordered Maxitive, Minitive, and Modular Aggregation Operators. A Simulation Study (II). AGOP 2013: 105-115 - 2012
- [j5]Marek Gagolewski
Aggregating different paper quality measures with a generalized h-index. J. Informetrics 6(4): 566-579 (2012) - [c6]Marek Gagolewski
On the Relation between Effort-Dominating and Symmetric Minitive Aggregation Operators. IPMU (3) 2012: 276-285 - [c5]Marek Gagolewski
Statistical Hypothesis Test for the Difference between Hirsch Indices of Two Pareto-Distributed Random Samples. SMPS 2012: 359-367 - 2011
- [j4]Marek Gagolewski
Possibilistic analysis of arity-monotonic aggregation operators and its relation to bibliometric impact assessment of individuals. Int. J. Approx. Reason. 52(9): 1312-1324 (2011) - [j3]Marek Gagolewski
Bibliometric impact assessment with R and the CITAN package. J. Informetrics 5(4): 678-692 (2011) - [c4]Marek Gagolewski, Przemyslaw Grzegorzewski
Axiomatic characterizations of (quasi-) L-statistics and S-statistics and the Producer Assessment Problem. EUSFLAT Conf. 2011: 53-58 - 2010
- [c3]Marek Gagolewski
Arity-Monotonic Extended Aggregation Operators. IPMU (1) 2010: 693-702 - [c2]Marek Gagolewski, Przemyslaw Grzegorzewski
S-Statistics and Their Basic Properties. SMPS 2010: 281-288
2000 – 2009
- 2009
- [j2]Marek Gagolewski:
A remark on limit properties of generalized h- and g-indices. J. Informetrics 3(4): 367-368 (2009) - [j1]Marek Gagolewski
A geometric approach to the construction of scientific impact indices. Scientometrics 81(3): 617-634 (2009) - [c1]Marek Gagolewski, Przemyslaw Grzegorzewski:
Possible and Necessary h-Indices. IFSA/EUSFLAT Conf. 2009: 1691-1695
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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