activity
20152017
most citedPerceived Social Loafing in Undergraduate Software Engineering Teams

10 citations · 40 across the 28 of their papers we have counts for

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Showing 2015Show all

25 papers · 1 filter

cs.CY2015

Social Loafing Among Members of Undergraduate Software Engineering Groups: Persistence of Perception Seven Years After

Reginald Neil C. Recario, Marie Betel B. de Robles, Kristine Elaine P. Bautista +1

We surveyed 169 undergraduate students who are enrolled in various courses. They were members of software engineering groups formed to solve various real-world computational proble…

cs.CL2015

On Gobbledygook and Mood of the Philippine Senate: An Exploratory Study on the Readability and Sentiment of Selected Philippine Senators' Microposts

Fatima M. Moncada, Jaderick P. Pabico

This paper presents the findings of a readability assessment and sentiment analysis of selected six Philippine senators' microposts over the popular Twitter microblog. Using the Si…

cs.NE2015★ 1 cited

The Interactive Effects of Operators and Parameters to GA Performance Under Different Problem Sizes

Jaderick P. Pabico, Elizer A. Albacea

The complex effect of genetic algorithm's (GA) operators and parameters to its performance has been studied extensively by researchers in the past but none studied their interactiv…

cs.SI2015★ 2 cited

Inferences in a Virtual Community: Demography, User Preferences, and Network Topology

Jaderick P. Pabico

This paper presents a computational procedure for extracting demography data, mining patterns of human preferences, and measuring the topology of a virtual network. The network was…

cs.CY2015★ 10 cited

Perceived Social Loafing in Undergraduate Software Engineering Teams

Jaderick P. Pabico, Joseph Anthony C. Hermocilla, John Paul C. Galang +1

We surveyed 237 undergraduate students who are enrolled in various subjects and are members of software engineering teams. Their being a member in a team is part of the requirement…

cs.CV2015

Capturing the Dynamics of Pedestrian Traffic Using a Machine Vision System

Louie Vincent A. Ngoho, Jaderick P. Pabico

We developed a machine vision system to automatically capture the dynamics of pedestrians under four different traffic scenarios. By considering the overhead view of each pedestria…