research
∙
05/17/2023
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks
The evaluation of natural language processing (NLP) systems is crucial f...
share
research
∙
05/12/2023
On the Fair Comparison of Optimization Algorithms in Different Machines
An experimental comparison of two or more optimization algorithms requir...
research
∙
03/22/2023
Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues
As the issue of robustness in AI systems becomes vital, statistical lear...
research
∙
03/15/2022
Comparing two samples through stochastic dominance: a graphical approach
Non-deterministic measurements are common in real-world scenarios: the p...
research
∙
02/08/2022
What are the best systems? New perspectives on NLP Benchmarking
In Machine Learning, a benchmark refers to an ensemble of datasets assoc...
research
∙
01/25/2022
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems
This paper reports on the first international competition on AI for the ...
research
∙
01/20/2022
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications
The concept of median/consensus has been widely investigated in order to...
research
∙
10/19/2019
Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem
The Quadratic Assignment Problem (QAP) is a well-known permutation-based...
research
∙
10/19/2019
