1 code implementation • 10 Apr 2024 • Daniel Platnick, Sourena Khanzadeh, Alireza Sadeghian, Richard Anthony Valenzano
We experiment with the GANsemble framework on a small and imbalanced microplastics data set.
no code implementations • 18 Dec 2020 • Ashirbani Saha, Pantea Fadaiefard, Jessica E. Rabski, Alireza Sadeghian, Michael D. Cusimano
We performed a PubMed search to find 148 papers published between January 2010 and December 2019 related to human brain, Diffusion Tensor Imaging (DTI), and Machine Learning (ML).
no code implementations • 16 Apr 2016 • Enrico De Santis, Antonello Rizzi, Alireza Sadeghian
In particular, this study focuses on the application of a Hierarchical Genetic Algorithm (HGA) for tuning the Rule Base (RB) of a Fuzzy Inference System (FIS), trying to discover a minimal fuzzy rules set in a Fuzzy Logic Controller (FLC) adopted to perform decision making in the microgrid.
no code implementations • 29 Nov 2015 • Filippo Maria Bianchi, Enrico De Santis, Hedieh Montazeri, Parisa Naraei, Alireza Sadeghian
In this position paper we describe a general framework for applying machine learning and pattern recognition techniques in healthcare.
1 code implementation • 24 Oct 2015 • Enrico Maiorino, Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
We assume that such a dynamical process is predictable to a certain degree by means of a class of recurrent networks called Echo State Network (ESN), which are capable to model a generic dynamical process.
no code implementations • 10 Apr 2015 • Lorenzo Livi, Alireza Sadeghian, Hamid Sadeghian
The subjects belong to two different groups, formed by four and eight subjects with, respectively, high- and low-amplitude rest tremors.
no code implementations • 19 Jan 2015 • Francesca Possemato, Maurizio Paschero, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
In this paper, we face the problem of joint optimization of both topology and network parameters in a real smart grid.
no code implementations • 17 Sep 2014 • Filippo Maria Bianchi, Enrico Maiorino, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
We propose a multi-agent algorithm able to automatically discover relevant regularities in a given dataset, determining at the same time the set of configurations of the adopted parametric dissimilarity measure yielding compact and separated clusters.
no code implementations • 17 Aug 2014 • Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
We evaluate a version of the recently-proposed classification system named Optimized Dissimilarity Space Embedding (ODSE) that operates in the input space of sequences of generic objects.
no code implementations • 30 Jul 2014 • Lorenzo Livi, Alessandro Giuliani, Alireza Sadeghian
This paper deals with the relations among structural, topological, and chemical properties of the E. Coli proteome from the vantage point of the solubility/aggregation propensity of proteins.
no code implementations • 28 Jul 2014 • Lorenzo Livi, Alireza Sadeghian, Witold Pedrycz
The one-class classification problem is a well-known research endeavor in pattern recognition.
no code implementations • 26 Jul 2014 • Lorenzo Livi, Alireza Sadeghian
The proposed framework is conceived (i) to offer a guideline for the synthesis of information granules and (ii) to build a groundwork to compare and quantitatively judge over different data granulation procedures.
no code implementations • 25 Jul 2014 • Enrico De Santis, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi
Modern electric power grids (smart grids) are equipped with smart sensors that allow to gather real-time information regarding the physical status of all the component elements belonging to the whole infrastructure (e. g., cables and related insulation, transformers, breakers and so on).