@article{de_Maio_Nascimento_2023,

title = {Differential Patterns in Motivations for Practicing Sport and Their Effects on Physical Activity Engagement across the Lifespan},

author = {Marcelo Maio Nascimento and Élvio Rúbio Gouveia and Bruna R. Gouveia and Adilson Marques and Cíntia França and Pedro Campos and Francisco Martins and Jesús García-Mayor and Andreas Ihle},

url = {https://doi.org/10.3390%2Fhealthcare11020274},

doi = {10.3390/healthcare11020274},

year  = {2023},

date = {2023-01-01},

journal = {Healthcare},

volume = {11},

number = {2},

pages = {274},

publisher = {MDPI AG},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Martins_2023b,

title = {Weekly External Load Performance Effects on Sports Injuries of Male Professional Football Players},

author = {Francisco Martins and Adilson Marques and Cíntia França and Hugo Sarmento and Ricardo Henriques and Andreas Ihle and Marcelo Maio Nascimento and Carolina Saldanha and Krzysztof Przednowek and Élvio Rúbio Gouveia},

url = {https://doi.org/10.3390%2Fijerph20021121},

doi = {10.3390/ijerph20021121},

year  = {2023},

date = {2023-01-01},

journal = {International Journal of Environmental Research and Public Health},

volume = {20},

number = {2},

pages = {1121},

publisher = {MDPI AG},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{masu_investigating_2023,

title = {Investigating performance ecologies using screen scores: a case study},

author = {Raul Masu and Mela Bettega and Nuno N. Correia and Teresa Romão},

url = {https://doi.org/10.1007/s00779-023-01719-y},

doi = {10.1007/s00779-023-01719-y},

issn = {1617-4917},

year  = {2023},

date = {2023-05-01},

urldate = {2023-05-22},

journal = {Personal and Ubiquitous Computing},

abstract = {The purpose of this paper is to deepen the understanding of interconnections among actors and artifacts in a music performance. To this end, this work presents a case study with four participants. Each participant created a piece using Puffin, a screen score system that allows for real-time generation of scores to be played by traditional instrumentalists. We collected field notes and interviews and formalized them with the support of ARCAA (Actors, Role, Context, Activities and Artifacts), a recently developed framework specifically developed for this purpose. By discussing the resulting ecology we highlight some possible design suggestions, including the importance of considering non-direct interaction with a digital system as fundamental for a good “usage” of a given musical system; the relevance of accounting for the entire ecology of artifacts; and that different conceptions of affordances should be used to understand different perspectives of an ecology (in our case, social and hidden affordances).},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Nascimento_2023,

title = {Sex Differences in Falls: The Mediating Role of Gait Stability Ratio and Body Balance in Vulnerable Older Adults},

author = {Marcelo Maio Nascimento and Élvio Rúbio Gouveia and Bruna R. Gouveia and Adilson Marques and Cíntia França and Priscila Marconcin and Duarte L. Freitas and Andreas Ihle},

url = {https://doi.org/10.3390%2Fjcm12020450},

doi = {10.3390/jcm12020450},

year  = {2023},

date = {2023-01-01},

journal = {Journal of Clinical Medicine},

volume = {12},

number = {2},

pages = {450},

publisher = {MDPI AG},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Louren_o_2023,

title = {Relationship between Objective and Subjective Fatigue Monitoring Tests in Professional Soccer},

author = {João Lourenço and Élvio Rúbio Gouveia and Hugo Sarmento and Andreas Ihle and Tiago Ribeiro and Ricardo Henriques and Francisco Martins and Cíntia França and Ricardo Maia Ferreira and Luís Fernandes and Pedro Teques and Daniel Duarte},

url = {https://doi.org/10.3390%2Fijerph20021539},

doi = {10.3390/ijerph20021539},

year  = {2023},

date = {2023-01-01},

journal = {International Journal of Environmental Research and Public Health},

volume = {20},

number = {2},

pages = {1539},

publisher = {MDPI AG},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{JBD2023,

title = {Using passive Wi-Fi for community crowd sensing during the COVID-19 

 pandemic},

author = {Miguel Ribeiro and Diogo Teixeira and Pedro Barbosa and Nuno Jardim Nunes},

url = {https://doi.org/10.1186/s40537-022-00675-3},

doi = {10.1186/s40537-022-00675-3},

year  = {2023},

date = {2023-12-01},

journal = {J. Big Data},

volume = {10},

number = {1},

pages = {7},

abstract = {Sensing passersby and detecting crowded locations is a growing area of research and development in the last decades. The COVID-19 pandemic compelled authorities and public and private institutions to monitor access and occupancy of crowded spaces. This work addresses the detection of crowds in points of interest (POI) by using a territory grid analysis categorizing POIs by the services available in each location and comparing data gathered from a community passive Wi-Fi infrastructure against mobile cellular tower association data from telecom companies. In Madeira islands (Portugal), we used data from the telecom provider NOS for the timespan of 4 months as ground truth and found a strong correlation with sparse passive Wi-Fi. An official regional mobile application shows the occupancy data to end-users based on the territory categorization and the passive Wi-Fi infrastructure in POIs. Occupancy data shows historical hourly trends of each location, and the real-time occupation, helping visitors and locals plan their commutes better to avoid crowded spaces.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{IJHCS2022,

title = {Modeling adoption of intelligent agents in medical imaging},

author = {Francisco Maria Calisto and Nuno Nunes and Jacinto C. Nascimento},

url = {https://doi.org/10.1016/j.ijhcs.2022.102922},

doi = {10.1016/j.ijhcs.2022.102922},

year  = {2022},

date = {2022-12-01},

journal = {Int. J. Hum. Comput. Stud.},

volume = {168},

pages = {102922},

abstract = {Artificial intelligence has the potential to transform many application domains fundamentally. One notable example is clinical radiology. A growing number of decision-making support systems are available for lesion detection and segmentation, two fundamental steps to accomplish diagnosis and treatment planning. This paper proposes a model based on the unified theory of acceptance and use of technology to study the determinants for the adoption of intelligent agents across the medical imaging workflow. We tested the model via confirmatory factor analysis and structural equation modeling using clinicians’ data from an international evaluation of healthcare practitioners. Results show an increased understanding of the vital role of security, risk, and trust in the usage intention of intelligent agents. These empirical findings provide valuable theoretical contributions to researchers by explaining the reasons behind the adoption and usage of intelligent agents in the medical imaging workflow.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Sensors2022a,

title = {A Data-Centric Analysis of the Impact of Non-Electric Data on the 

 Performance of Load Disaggregation Algorithms},

author = {João Gois and Lucas Pereira and Nuno Nunes},

url = {https://doi.org/10.3390/s22186914},

doi = {10.3390/s22186914},

year  = {2022},

date = {2022-12-01},

journal = {Sensors},

volume = {22},

number = {18},

pages = {6914},

abstract = {Recent research on non-intrusive load monitoring, or load disaggregation, suggests that the performance of algorithms can be affected by factors beyond energy data. In particular, by incorporating non-electric data in load disaggregation analysis, such as building and consumer characteristics, the estimation accuracy of consumption data may be improved. However, this association has rarely been explored in the literature. This work proposes a data-centric methodology for measuring the effect of non-electric characteristics on load disaggregation performance. A real-world dataset is considered for evaluating the proposed methodology, using various appliances and sample rates. The methodology results indicate that the non-electric characteristics may have varying effects on the performances of different building appliances. Therefore, the proposed methodology can be relevant for complementing load disaggregation analysis.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Sensors2022b,

title = {A Low-Cost Multi-Purpose IoT Sensor for Biologging and Soundscape 

 Activities},

author = {Dinarte Vasconcelos and Nuno Jardim Nunes},

url = {https://doi.org/10.3390/s22197100},

doi = {10.3390/s22197100},

year  = {2022},

date = {2022-12-01},

journal = {Sensors},

volume = {22},

number = {19},

pages = {7100},

abstract = {The rapid expansion in miniaturization, usability, energy efficiency, and affordability of Internet of Things (IoT) sensors, integrated with innovations in smart capability, is greatly increasing opportunities in ground-level monitoring of ecosystems at a specific scale using sensor grids. Surrounding sound is a powerful data source for investigating urban and non-urban ecosystem health, and researchers commonly use robust but expensive passive sensors as monitoring equipment to capture it. This paper comprehensively describes the hardware behind our low-cost, small multipurpose prototype, capable of monitoring different environments (e.g., remote locations) with onboard processing power. The device consists of a printed circuit board, microprocessor, local memory, environmental sensor, microphones, optical sensors and LoRa (Long Range) communication systems. The device was successfully used in different use cases, from monitoring mosquitoes enhanced with optical sensors to ocean activities using a hydrophone.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{TSAS2022,

title = {Modeling the Geospatial Evolution of COVID-19 using Spatio-temporal 

 Convolutional Sequence-to-sequence Neural Networks},

author = {Mário Cardoso and André Cavalheiro and Alexandre Borges and Ana Filipa Duarte and Amílcar Soares and Maria João Pereira and Nuno Jardim Nunes and Leonardo Azevedo and Arlindo L. Oliveira},

url = {https://doi.org/10.1145/3550272},

doi = {10.1145/3550272},

year  = {2022},

date = {2022-12-01},

journal = {ACM Trans. Spatial Algorithms Syst.},

volume = {8},

number = {4},

pages = {28:1--28:19},

abstract = {Europe was hit hard by the COVID-19 pandemic and Portugal was severely affected, having suffered three waves in the first twelve months. Approximately between January 19th and February 5th 2021 Portugal was the country in the world with the largest incidence rate, with 14-day incidence rates per 100,000 inhabitants in excess of 1,000. Despite its importance, accurate prediction of the geospatial evolution of COVID-19 remains a challenge, since existing analytical methods fail to capture the complex dynamics that result from the contagion within a region and the spreading of the infection from infected neighboring regions. We use a previously developed methodology and official municipality level data from the Portuguese Directorate-General for Health (DGS), relative to the first twelve months of the pandemic, to compute an estimate of the incidence rate in each location of mainland Portugal. The resulting sequence of incidence rate maps was then used as a gold standard to test the effectiveness of different approaches in the prediction of the spatial-temporal evolution of the incidence rate. Four different methods were tested: a simple cell level autoregressive moving average (ARMA) model, a cell level vector autoregressive (VAR) model, a municipality-by-municipality compartmental SIRD model followed by direct block sequential simulation, and a new convolutional sequence-to-sequence neural network model based on the STConvS2S architecture. We conclude that the modified convolutional sequence-to-sequence neural network is the best performing method in this task, when compared with the ARMA, VAR, and SIRD models, as well as with the baseline ConvLSTM model.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Smart Toys, Smart Tangibles, Robots and other Smart Things for Children Editorial},

author = {Cristina Sylla and Katriina Heljakka and Alejandro Catala and Arzu Guneysu Ozgur},

url = {https://doi.org/10.1016/j.ijcci.2022.100489},

doi = {10.1016/j.ijcci.2022.100489},

year  = {2022},

date = {2022-05-01},

journal = {International Journal of Child-Computer Interaction},

volume = {33},

number = {September},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/entropy/MendoncaMFDR22,

title = {Heuristic Optimization of Deep and Shallow Classifiers: An Application 

 for Electroencephalogram Cyclic Alternating Pattern Detection},

author = {Fábio Mendonça and Sheikh Shanawaz Mostafa and Diogo Freitas and Fernando Morgado Dias and Antonio G. Ravelo-García},

year  = {2022},

date = {2022-01-01},

journal = {Entropy},

volume = {24},

number = {5},

pages = {688},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Gil_2022,

title = {A close look into the storytelling process: The procedural nature of interactive digital narratives as learning opportunity},

author = {Maitê Gil and Cristina Sylla},

url = {https://doi.org/10.1016%2Fj.entcom.2021.100466},

doi = {10.1016/j.entcom.2021.100466},

year  = {2022},

date = {2022-03-01},

journal = {Entertainment Computing},

volume = {41},

pages = {100466},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/nca/MendoncaFMDR22,

title = {Automatic detection of cyclic alternating pattern},

author = {Fábio Mendonça and Ana L. N. Fred and Sheikh Shanawaz Mostafa and Fernando Morgado Dias and Antonio G. Ravelo-García},

year  = {2022},

date = {2022-01-01},

journal = {Neural Comput. Appl.},

volume = {34},

number = {13},

pages = {11097--11107},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Sylla_2022,

title = {Untangling the complexity of designing tools to support tangible and digital intercultural story telling in troubled times: a case in point},

author = {Cristina Sylla and Maitê Gil and Íris Susana Pires Pereira},

url = {https://doi.org/10.1111%2Flit.12263},

doi = {10.1111/lit.12263},

year  = {2022},

date = {2022-01-01},

journal = {Literacy},

volume = {56},

number = {1},

pages = {3--17},

publisher = {Wiley},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/corr/abs-2209-01611,

title = {ProBoost: a Boosting Method for Probabilistic Classifiers},

author = {Fábio Mendonça and Sheikh Shanawaz Mostafa and Fernando Morgado Dias and Antonio G. Ravelo-García and Mário A. T. Figueiredo},

year  = {2022},

date = {2022-01-01},

journal = {CoRR},

volume = {abs/2209.01611},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/corr/abs-2209-04715,

title = {Variational Autoencoder Kernel Interpretation and Selection for Classification},

author = {Fábio Mendonça and Sheikh Shanawaz Mostafa and Fernando Morgado Dias and Antonio G. Ravelo-García},

year  = {2022},

date = {2022-01-01},

journal = {CoRR},

volume = {abs/2209.04715},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gomes2022impact,

title = {Impact of forecasting models errors in a peer-to-peer energy sharing market},

author = {Luis Gomes and Hugo Morais and Calvin Gonçalves and Eduardo Gomes and Lucas Pereira and Zita Vale},

year  = {2022},

date = {2022-01-01},

journal = {Energies},

volume = {15},

number = {10},

pages = {3543},

publisher = {MDPI},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/toh/QuintalL22,

title = {HapWheel: In-Car Infotainment System Feedback Using Haptic and Hovering 

 Techniques},

author = {Filipe Quintal and Marco Lima},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Trans. Haptics},

volume = {15},

number = {1},

pages = {121--130},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{wong2022leveraging,

title = {Leveraging audible and inaudible signals for pronunciation training by sensing articulation through a smartphone},

author = {Aslan B Wong and ZiQi Huang and Kaishun Wu},

year  = {2022},

date = {2022-01-01},

journal = {Speech Communication},

volume = {144},

pages = {42--56},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}