40 citations · 67 across the 7 of their papers we have counts for
7 papers
Hyperparameter optimization in deep multi-target prediction
Dimitrios Iliadis, Marcel Wever, Bernard De Baets +1
As a result of the ever increasing complexity of configuring and fine-tuning machine learning models, the field of automated machine learning (AutoML) has emerged over the past dec…
Ordinal sums of triangular norms on a bounded lattice
Yao Ouyang, Hua-Peng Zhang, Bernard De Baets
The ordinal sum construction provides a very effective way to generate a new triangular norm on the real unit interval from existing ones. One of the most prominent theorems concer…
A split-and-perturb decomposition of number-conserving cellular automata
Barbara Wolnik, Anna Nenca, Jan M. Baetens +1
This paper concerns -dimensional cellular automata with the von Neumann neighborhood that conserve the sum of the states of all their cells. These automata, called number-conser…
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression
Michiel Stock, Tapio Pahikkala, Antti Airola +2
Many machine learning problems can be formulated as predicting labels for a pair of objects. Problems of that kind are often referred to as pairwise learning, dyadic prediction or…
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method
Michiel Stock, Tapio Pahikkala, Antti Airola +2
Pairwise learning or dyadic prediction concerns the prediction of properties for pairs of objects. It can be seen as an umbrella covering various machine learning problems such as…
A dynamical systems approach to the discrimination of the modes of operation of cryptographic systems
Jeaneth Machicao, Jan M. Baetens, Anderson G. Marco +2
Evidence of signatures associated with cryptographic modes of operation is established. Motivated by some analogies between cryptographic and dynamical systems, in particular with…