Publications related to Quadratic classifier

Hardware-Friendly Random Forest Classification of iEEG Signals for Implantable Seizure Detection

Early and accurate detection of epileptic seizures is an extremely important therapeutic goal due to the severity of complications it can prevent. To this end, a low-power machine learning-based seizure detection implemented on an FPGA is proposed in this ...

IEEE2022

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU

Nahal Mansouri, Sahand Jamal Rahi

Rationale: Given the expanding number of COVID-19 cases and the potential for new waves of infection, there is an urgent need for early prediction of the severity of the disease in intensive care unit (ICU) patients to optimize treatment strategies.Objecti ...

FRONTIERS MEDIA SA2022

Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima’s Replica Formula)

Florent Gérard Krzakala, Alia Abbara

There has been a recent surge of interest in the study of asymptotic reconstruction performance in various cases of generalized linear estimation problems in the teacher-student setting, especially for the case of i.i.d standard normal matrices. Here, we g ...

2022

Predicting Superagers by Machine Learning Classification Based on the Functional Brain Connectome Using Resting-State Functional Magnetic Resonance Imaging

Chang-Hyun Park

Superagers are defined as older adults who have youthful memory performance comparable to that of middle-aged adults. Classifying superagers based on the brain connectome using machine learning modeling can provide important insights on the physiology unde ...

OXFORD UNIV PRESS INC2021

Reach-to-grasp motions: Towards a dynamic classification approach for upper-limp prosthesis

Aude Billard, Iason Batzianoulis

During reach-to-grasp motions,the Electromyographic (EMG) activity of the arm varies depending on motion stage. The variability of the EMG signals results in low classification accuracy during the reaching phase, delaying the activation of the prosthesis. ...

IEEE2019

Machine-learning Classifiers for Intermediate Redshift Emission-line Galaxies

Jean-Paul Richard Kneib, Johan Comparat, David Schlegel

Classification of intermediate redshift (z = 0.3-0.8) emission line galaxies as star-forming galaxies, composite galaxies, active galactic nuclei (AGNs), or low-ionization nuclear emission regions (LINERs) using optical spectra alone was impossible because ...

IOP PUBLISHING LTD2019

Discriminating among degenerative parkinsonisms using advanced 123I-ioflupane SPECT analyses

Dimitri Nestor Alice Van De Ville, Simon Pierre Jean Badoud

I-123-ioflupane single photon emission computed tomography (SPECT) is a sensitive and well established imaging tool in Parkinson's disease (PD) and atypical parkinsonian syndromes (APS), yet a discrimination between PD and APS has been considered inconsist ...

Elsevier Sci Ltd2016

Intrusion Detection in MANET Using Classification Algorithms: The Effects of Cost and Model Selection

Christos Dimitrakakis, Aikaterini Mitrokotsa

Intrusion detection is frequently used as a second line of defense in Mobile Ad-hoc Networks (MANETs). In this paper we examine how to properly use classification methods in intrusion detection for MANETs. In order to do so we evaluate five supervised clas ...

Elsevier2013

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Quadratic classifier

Hardware-Friendly Random Forest Classification of iEEG Signals for Implantable Seizure Detection

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU

Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima’s Replica Formula)

Predicting Superagers by Machine Learning Classification Based on the Functional Brain Connectome Using Resting-State Functional Magnetic Resonance Imaging

Reach-to-grasp motions: Towards a dynamic classification approach for upper-limp prosthesis

Improving the arm-hand coordination in neuroprosthetics control with prior information from muscle activity

Machine-learning Classifiers for Intermediate Redshift Emission-line Galaxies

Discriminating among degenerative parkinsonisms using advanced 123I-ioflupane SPECT analyses

Challenges in Algorithmic Mechanism Design

Intrusion Detection in MANET Using Classification Algorithms: The Effects of Cost and Model Selection

Graph Chatbot

Chat with Graph Search

Hardware-Friendly Random Forest Classification of iEEG Signals for Implantable Seizure Detection

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU

Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima’s Replica Formula)

Machine-learning Classifiers for Intermediate Redshift Emission-line Galaxies

Predicting Superagers by Machine Learning Classification Based on the Functional Brain Connectome Using Resting-State Functional Magnetic Resonance Imaging

Improving the arm-hand coordination in neuroprosthetics control with prior information from muscle activity

Reach-to-grasp motions: Towards a dynamic classification approach for upper-limp prosthesis

Challenges in Algorithmic Mechanism Design

Discriminating among degenerative parkinsonisms using advanced 123I-ioflupane SPECT analyses

Intrusion Detection in MANET Using Classification Algorithms: The Effects of Cost and Model Selection