5 papers
Beyond binarity: Semidefinite programming for ternary quadratic problems
Frank de Meijer, Veronica Piccialli, Renata Sotirov +1
We study the ternary quadratic problem (TQP), a quadratic optimization problem with linear constraints where the variables take values in . While semidefinite program…
Exact and Heuristic Algorithms for Constrained Biclustering
Antonio M. Sudoso
Biclustering, also known as co-clustering or two-way clustering, simultaneously partitions the rows and columns of a data matrix to reveal submatrices with coherent patterns. Incor…
Optimal Placement of Nature-Based Solutions for Urban Challenges
Diego Maria Pinto, Davide Donato Russo, Antonio M. Sudoso
Increased urbanization and climate change intensify urban heat islands and degrade air quality, making current mitigation strategies insufficient. Nature-based solutions (NBSs), su…
A column generation algorithm with dynamic constraint aggregation for minimum sum-of-squares clustering
Antonio M. Sudoso, Daniel Aloise
The minimum sum-of-squares clustering problem (MSSC), also known as -means clustering, refers to the problem of partitioning data points into clusters, with the objectiv…
Improving Non-Intrusive Load Disaggregation through an Attention-Based Deep Neural Network
Veronica Piccialli, Antonio M. Sudoso
Energy disaggregation, known in the literature as Non-Intrusive Load Monitoring (NILM), is the task of inferring the power demand of the individual appliances given the aggregate p…