João Lopes

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 18

Top Topics

Predictive Analytics

Business Intelligence

Scheduling Problem

Top Venues

MoDELS (Workshops)

Publications

Vasco Quaresma, João Lopes, João Paulo Ferreira, A. Paulo Coimbra, Manuel M. Crisóstomo
Handwriting Assessment Using a Haptic Joystick for Rehabilitation Purposes. IEEE Access 12 (2024)
João Gomes, João Lopes, Tiago Guimarães, Manuel Filipe Santos
Identifying Diabetic Patient Profile Through Machine Learning-Based Clustering Analysis. ANT/EDI40 (2023)
César Carpinteiro, João Lopes, António Abelha, Manuel Filipe Santos
A Comparative Study of Classification Algorithms for Early Detection of Diabetes. ANT/EDI40 (2023)
João Lopes, Alberto Partida, Pedro Pinto, António Pinto
On the Use of VGs for Feature Selection in Supervised Machine Learning - A Use Case to Detect Distributed DoS Attacks. OL2A (1) (2023)
João Lopes, Gonçalo Vieira, Rita Veloso, Susana Ferreira, Maria Salazar, Manuel Filipe Santos
Optimization of Surgery Scheduling Problems Based on Prescriptive Analytics. DATA (2023)
Afonso Lobo, Agostinho Barbosa, Tiago Guimarães, João Lopes, Hugo Peixoto, Manuel Filipe Santos
Better Medical Efficiency by Means of Hospital Bed Management Optimization - A Comparison of Artificial Intelligence Techniques. EPIA (2) (2023)
Isabel Fernandes, João Lopes, João Braga, Manuel Filipe Santos
Applying optimization models in the scheduling of medical exams. ANT/EDI40 (2022)
Rui Macedo, Agostinho Barbosa, João Lopes, Manuel Santos
Intelligent Decision Support in Beds Management and Hospital Planning. EUSPN/ICTH (2022)
Mariana Faria, Agostinho Barbosa, Tiago Guimarães, João Lopes, Manuel Filipe Santos
Predictive analytics for hospital discharge flow determination. EUSPN/ICTH (2022)
Diogo Peixoto, Mariana Faria, Rui Macedo, Hugo Peixoto, João Lopes, Agostinho Barbosa, Tiago Guimarães, Manuel Filipe Santos
Determining Internal Medicine Length of Stay by Means of Predictive Analytics. EPIA (2022)
Maria João Vaz, João Lopes, Hugo Peixoto, Manuel Filipe Santos
Predictive Analytics to support diabetic patient detection. ANT/EDI40 (2022)
Diogo Peixoto, Agostinho Barbosa, Hugo Peixoto, João Lopes, Tiago Guimarães, Manuel Filipe Santos
Predictive analytics for hospital inpatient flow determination. EUSPN/ICTH (2022)
João Lopes, João Braga, Manuel Filipe Santos
Adaptive Business Intelligence platform and its contribution as a support in the evolution of Hospital 4.0. ANT/EDI40 (2021)
Ana Luísa Sousa, João Lopes, Tiago Guimarães, Manuel Filipe Santos
mHealth: Monitoring Platform for Diabetes Patients. ANT/EDI40 (2021)
João Lopes, Tiago Guimarães, Manuel Filipe Santos
Predictive and Prescriptive Analytics in Healthcare: A Survey. ANT/EDI40 (2020)
João Lopes, Tiago Guimarães, Manuel Filipe Santos
Adaptive Business Intelligence: A New Architectural Approach. EUSPN/ICTH (2020)
João Lopes, Carlos Serrão, Luís Nunes, Ana de Almeida, João Oliveira
Overview of machine learning methods for Android malware identification. ISDFS (2019)
João Lopes, João Cambeiro, Vasco Amaral
ModelByVoice - towards a general purpose model editor for blind people. MoDELS (Workshops) (2018)
Mauro Figueiredo, José Gomes, Cristina Gomes, João Lopes
Augmented Reality Tools and Learning Practice in Mobile-Learning. HCI (5) (2014)
João Lopes, Susana Sargento, André Zúquete
A Dependable Alternative to the Spanning Tree Protocol. EWDC (2013)
João Lopes, Orlando Belo, Carlos Vieira
Applying User Signatures on Fraud Detection in Telecommunications Networks. ICDM (2011)
João Lopes, Luís M. Correia, Luís Santo
Performance Analysis of UMTS/HSPA at the Cellular Level. VTC Spring (2009)
Dag I. K. Sjøberg, Malcolm P. Atkinson, João Lopes, Philip W. Trinder
Building an Integrated Persistent Application. DBPL (1993)