activity
20172025
most citedVisual-Based Analysis of Classification Measures with Applications to Imbalanced Data

43 citations · 87 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

Utility Inspired Generalizations of TOPSIS

Robert Susmaga, Izabela Szczech

TOPSIS, a popular method for ranking alternatives is based on aggregated distances to ideal and anti-ideal points. As such, it was considered to be essentially different from widel…

cs.LG2024★ 9 cited

Properties of fairness measures in the context of varying class imbalance and protected group ratios

Dariusz Brzezinski, Julia Stachowiak, Jerzy Stefanowski +5

Society is increasingly relying on predictive models in fields like criminal justice, credit risk management, or hiring. To prevent such automated systems from discriminating again…

cs.AI2023★ 35 cited

Towards Explainable TOPSIS: Visual Insights into the Effects of Weights and Aggregations on Rankings

Robert Susmaga, Izabela Szczech, Dariusz Brzezinski

Multi-Criteria Decision Analysis (MCDA) is extensively used across diverse industries to assess and rank alternatives. Among numerous MCDA methods developed to solve real-world ran…

stat.ME2023

confidence-planner: Easy-to-Use Prediction Confidence Estimation and Sample Size Planning

Antoni Klorek, Karol Roszak, Izabela Szczech +1

Machine learning applications, especially in the fields of me\-di\-cine and social sciences, are slowly being subjected to increasing scrutiny. Similarly to sample size planning pe…

cs.OH2017★ 43 cited

Visual-Based Analysis of Classification Measures with Applications to Imbalanced Data

Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga +1

With a plethora of available classification performance measures, choosing the right metric for the right task requires careful thought. To make this decision in an informed manner…