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Scaling of Stochasticity in Dengue Hemorrhagic Fever Epidemics

José Martins; M. Aguiar; B. W. Kooi; N. Stollenwerk

Date: 2012   |   Origin: INESC TEC

Impacts of Stochastic Wind Power and Storage Participation on Economic Dispatch...

Bizuayehu,AW; Sanchez de la Nieta,AAS; Contreras,J; João Catalão

Evaluating the impact related to stochastic wind generation and generic storage on economic dispatch in distribution system operation is an important issue in power systems. This paper presents the analysis of the impacts of high wind power and storage participation on a distribution system over a period of 24 h using grid reconfiguration for electrical distribution system (EDS) radial operation. In order to me...

Date: 2016   |   Origin: INESC TEC

The Dial-a-Ride Problem with Split Requests and Profits

Parragh,SN; Jorge Pinho de Sousa; Bernardo Almada-Lobo

In this paper we introduce the dial-a-ride problem with split requests and profits (DARPSRP). Users place transportation requests, specifying a pickup location, a delivery location, and a time window for either of the two. Based on maximum user ride time considerations, the second time window is generated. A given fleet of vehicles, each with a certain capacity, is available to serve these requests, and maximum...

Date: 2015   |   Origin: INESC TEC

A collaborative approach for semantic time-based video annotation using gamific...

Paula Viana; José Pedro Pinto

Efficient access to large scale video assets, may it be our life memories in our hard drive or a broadcaster archive which the company is eager to sell, requires content to be conveniently annotated. Manually annotating video content is, however, an intellectually expensive and time-consuming process. In this paper we argue that crowdsourcing, an approach that relies on a remote task force to perform activities...

Date: 2017   |   Origin: INESC TEC

Filter & hold: a mixed continuous-/discrete-time technique for time-constant sc...

Vítor Grade Tavares; Manuel Cândido Santos; de Oliveira,PG; Principe,JC

The work reported in this paper introduces a periodic switching technique applied to continuous-time filters, whose outcome is an equivalent filter with scaled time-constants. The principle behind the method is based on a procedure that extends the integration time by periodically interrupting the normal integration of the filter. The net result is an up scaling of the time constant, inversely proportional to t...

Date: 2015   |   Origin: INESC TEC

Power interference modeling for CSMA/CA based networks using directional antenna

Saravanan Kandasamy; Ricardo Morla; Manuel Ricardo

Date: 2016   |   Origin: INESC TEC

Urban@CRAS dataset: Benchmarking of visual odometry and SLAM techniques

Ana Gaspar; Aníbal Matos; Andry Maykol Pinto; Alexandra Nunes

Date: 2018   |   Origin: INESC TEC

Eigenspace method for spatiotemporal hotspot detection

Hadi Fanaee Tork; João Gama

Hotspot detection aims at identifying sub-groups in the observations that are unexpected, with respect to some baseline information. For instance, in disease surveillance, the purpose is to detect sub-regions in spatiotemporal space, where the count of reported diseases (e.g. cancer) is higher than expected, with respect to the population. The state-of-the-art method for this kind of problem is the space-time s...

Date: 2015   |   Origin: INESC TEC


A Survey on Concept Drift Adaptation

João Gama; Zliobaite,I; Bifet,A; Pechenizkiy,M; Bouchachia,A

Concept drift primarily refers to an online supervised learning scenario when the relation between the input data and the target variable changes over time. Assuming a general knowledge of supervised learning in this article, we characterize adaptive learning processes; categorize existing strategies for handling concept drift; overview the most representative, distinct, and popular techniques and algorithms; d...

Date: 2014   |   Origin: INESC TEC

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