Intelligent Systems Associate Laboratory (LASI)

About Us

The Intelligent Systems Associate LAboratory (LASI), headquartered at the Centro Algoritmi, University of Minho in Guimarães, is coordinated by prof. Paulo Novais. LASI is a reference laboratory for Artificial Intelligence and Data Science in Portugal. It intends to create sustainable and inclusive innovation for
our society, improving applications/materials/products and using advanced intelligent systems technologies, providing high levels of precision, performance and adaptation over time. It will, therefore, enable new business models and processes in industry, services, community and improve the way we interact with everything around us.

Research Units

Recent Publications

Linking information systems team resilience to project management success

Varajão J.Fernandes G., Amaral A.,

Project Leadership and Society, December 2023

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Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

Górriz J.M.Álvarez-Illán I., Álvarez-Marquina A., Arco J.E., Atzmueller M., Ballarini F., Barakova E., Bologna G., Bonomini P., Castellanos-Dominguez G., Castillo-Barnes D., Cho S.B., Contreras R., Cuadra J.M., Domínguez E., Domínguez-Mateos F., Duro R.J., Elizondo D., Fernández-Caballero A., Fernandez-Jover E., Formoso M.A., Gallego-Molina N.J., Gamazo J., González J.G., Garcia-Rodriguez J., Garre C., Garrigós J., Gómez-Rodellar A., Gómez-Vilda P., Graña M., Guerrero-Rodriguez B., Hendrikse S.C.F., Jimenez-Mesa C., Jodra-Chuan M., Julian V., Kotz G., Kutt K., Leming M., de Lope J., Macas B., Marrero-Aguiar V., Martinez J.J., Martinez-Murcia F.J., Martínez-Tomás R., Mekyska J., Nalepa G.J., Novais P., Orellana D., Ortiz A., Palacios-Alonso D., Palma J., Pereira A., Pinacho-Davidson P., Pinninghoff M.A., Ponticorvo M., Psarrou A., Ramírez J., Rincón M., Rodellar-Biarge V., Rodríguez-Rodríguez I., Roelofsma P.H.M.P., Santos J., Salas-Gonzalez D., Salcedo-Lagos P., Segovia F., Shoeibi A., Silva M., Simic D., Suckling J., Treur J., Tsanas A., Varela R., Wang S.H., Wang W., Zhang Y.D., Zhu H., Zhu Z., Ferrández-Vicente J.M.,

Information Fusion, December 2023

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Adaptive timing in a dynamic field architecture for natural human–robot interactions

Wojtak W.Ferreira F., Louro L., Bicho E., Erlhagen W.,

Cognitive Systems Research, December 2023

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Correction : Low carbon futures: assessing the status of decarbonisation efforts at universities within a 2050 perspective (Energy, Sustainability and Society, (2023), 13, 1, (5), 10.1186/s13705-023-00384-6)

Filho W.L.Vidal D.G., Dinis M.A.P., Lambrechts W., Vasconcelos C.R.P., Molthan‑Hill P., Abubakar I.R., Dunk R.M., Salvia A.L., Sharifi A.,

Energy, Sustainability and Society, December 2023

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Low carbon futures: assessing the status of decarbonisation efforts at universities within a 2050 perspective

Filho W.L.Vidal D.G., Dinis M.A.P., Lambrechts W., Vasconcelos C.R.P., Molthan-Hill P., Abubakar I.R., Dunk R.M., Salvia A.L., Sharif A.,

Energy, Sustainability and Society, December 2023

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A multi-task convolutional neural network for classification and segmentation of chronic venous disorders

Oliveira B.Torres H.R., Morais P., Veloso F., Baptista A.L., Fonseca J.C., Vilaça J.L.,

Scientific Reports, December 2023

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