Faculty of Engineering (FEUP)
Faculdade de Engenharia

University of Porto (UP)

Publications Actions
Publications at Authenticus Institutional Profile

An Authenticus institution (group) is an organization which consists of a set of researchers (institutional/group team). The set of researchers depends on the organizational structure of the institution per year and can be set at the institution profile, under ‘Researchers’ interface. Based on the institutional team we produce listings of publications, statistics and institutional reports. 

Publications displayed at an Authenticus institutional profile depend on two parameters:

  • Researchers team associated with the institution per year. 
  • Publications source type. 

We define 3 types of publication sources:

  • Validated by team members - includes all publications validated by team members. Requires the definition of the institutional team. 
  • All published by team members - includes all publications validated by the institution team members plus all not-validated (only identified) publications. Requires the definition of the institutional team. 
  • Affiliation Based - includes publications that have the institution/group in the publication affiliation. Does not require institutional team, but at the same time does not guarantee that all publications will be listed. 
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Update Citation

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 This actions updates publications citations of every team member.
 Only validated by team members publications are included.
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Update PrePrints

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Rules:
 This actions updates all pre print publications of the group/institution.
 Only validated by current year team members publications are included.
 The action is executed in the background, thus the results are NOT immediate.
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Publications Count: 28204

576 Team Members
Filters -> Year: 2024
4361
TITLE: Damage evolution in single-layer cube armoured breakwaters with a regular placement pattern  Full Text
AUTHORS: Vieira, F; Taveira Pinto, F; Rosa Santos, P ;
PUBLISHED: 2021, SOURCE: COASTAL ENGINEERING, VOLUME: 169, PAGES: 103943
INDEXED IN: WOS CrossRef
4362
TITLE: Data Augmentation Using Adversarial Image-to-Image Translation for the Segmentation of Mobile-Acquired Dermatological Images
AUTHORS: Andrade, C; Luis F. Teixeira ; Vasconcelos, MJM; Rosado, L;
PUBLISHED: 2021, SOURCE: JOURNAL OF IMAGING, VOLUME: 7, ISSUE: 1, PAGES: 2
INDEXED IN: WOS DBLP CrossRef
4363
TITLE: Data integration by two-sensors in a LEAP-based Virtual Glove for human-system interaction  Full Text
AUTHORS: Placidi, G; Avola, D; Cinque, L; Polsinelli, M; Theodoridou, E; João Manuel R. S. Tavares ;
PUBLISHED: 2021, SOURCE: MULTIMEDIA TOOLS AND APPLICATIONS
INDEXED IN: Scopus WOS
4364
TITLE: Data integration by two-sensors in a LEAP-based Virtual Glove for human-system interaction
AUTHORS: Giuseppe Placidi; Danilo Avola; Luigi Cinque; Matteo Polsinelli; Eleni Theodoridou; João Manuel R. S. Tavares ;
PUBLISHED: 2021, SOURCE: Multim. Tools Appl., VOLUME: 80, ISSUE: 12, PAGES: 18263-18277
INDEXED IN: DBLP
4365
TITLE: Data-Driven Chance-Constrained Optimal Gas-Power Flow Calculation: A Bayesian Nonparametric Approach
AUTHORS: Wang, JY; Wang, C; Liang, YL; Bi, TS; Shafie khah, M; João P. S. Catalão ;
PUBLISHED: 2021, SOURCE: IEEE TRANSACTIONS ON POWER SYSTEMS, VOLUME: 36, ISSUE: 5, PAGES: 4683-4698
INDEXED IN: Scopus WOS CrossRef: 23
4366
TITLE: Day-ahead Modified Dispatching Model Considering Power System Flexibility  Full Text
AUTHORS: Chen, Peng; Zhen, Zhao; Wang, Fei; Shafie khah, Miadreza; Yin, Rui; João P. S. Catalão ;
PUBLISHED: 2021, SOURCE: Annual Meeting of the IEEE-Industry-Applications-Society (IAS) in 2021 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING (IAS), VOLUME: 2021-October, PAGES: 1-6
INDEXED IN: Scopus WOS DBLP CrossRef
4367
TITLE: Day-ahead optimal bidding of microgrids considering uncertainties of price and renewable energy resources  Full Text
AUTHORS: Nikpour, A; Nateghi, A; Shafie khah, M; João P. S. Catalão ;
PUBLISHED: 2021, SOURCE: ENERGY, VOLUME: 227, PAGES: 120476
INDEXED IN: Scopus WOS CrossRef: 36
4368
TITLE: Day-Ahead Optimal Management of Plug-in Hybrid Electric Vehicles in Smart Homes Considering Uncertainties
AUTHORS: Hasankhani, Arezoo; Hakimi, Seyed Mehdi; Bodaghi, Maryam; Shafie Khah, Miadreza; Osorio, Gerardo J.; João P. S. Catalão ;
PUBLISHED: 2021, SOURCE: 14th IEEE Madrid PowerTech Conference (IEEE POWERTECH) in 2021 IEEE MADRID POWERTECH
INDEXED IN: Scopus WOS CrossRef: 2
4369
4370
TITLE: Decision-Making Framework for Implementing Safer Human-Robot Collaboration Workstations: System Dynamics Modeling
AUTHORS: Borges, GD; Reis, AM; Neto, RA; de Mattos, DL; Cardoso, A; Goncalves, H; Merino, E; Colim, A; Carneiro, P; Arezes, P ;
PUBLISHED: 2021, SOURCE: SAFETY, VOLUME: 7, ISSUE: 4, PAGES: 75
INDEXED IN: Scopus WOS CrossRef: 7
4372
TITLE: Deep Convolutional Graph Rough Variational Auto-Encoder for Short-Term Photovoltaic Power Forecasting
AUTHORS: Saffari, M; Khodayar, M; Jalali, SMJ; Shafie khah, M; João P. S. Catalão ;
PUBLISHED: 2021, SOURCE: 4th International Conference on Smart Energy Systems and Technologies (SEST) in 2021 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST)
INDEXED IN: Scopus WOS CrossRef: 9
4373
TITLE: Deep Learning and Capsule Endoscopy: Automatic Classification of Small Bowel Cleansing Using a Convolutional Neural Network
AUTHORS: Mascarenhas, M; Afonso, J; Ribeiro, T; Ferreira, J ; Cardoso, H ; Andrade, P; Natal, R; Macedo, G;
PUBLISHED: 2021, SOURCE: AMERICAN JOURNAL OF GASTROENTEROLOGY, VOLUME: 116
INDEXED IN: WOS
4374
TITLE: DEEP LEARNING AND CAPSULE ENDOSCOPY: AUTOMATIC DETECTION OF ULCERS AND ENTERIC EROSIONS IN CAPSULE ENDOSCOPY USING A CONVOLUTIONAL NEURAL NETWORK  Full Text
AUTHORS: Saraiva, MM; Cardoso, H; Afonso, J; Ferreira, J ; Andrade, P; Macedo, G;
PUBLISHED: 2021, SOURCE: GASTROINTESTINAL ENDOSCOPY, VOLUME: 93, ISSUE: 6
INDEXED IN: WOS
4375
TITLE: Deep learning and capsule endoscopy: automatic identification and differentiation of small bowel lesions with distinct haemorrhagic potential using a convolutional neural network
AUTHORS: Saraiva, MJM; Afonso, J; Ribeiro, T; Ferreira, J ; Cardoso, H ; Andrade, AP; Parente, M ; Natal, R; Saraiva, MM; Macedo, G;
PUBLISHED: 2021, SOURCE: BMJ OPEN GASTROENTEROLOGY, VOLUME: 8, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef: 21
4376
TITLE: Deep Learning and Capsule Endoscopy: Automatic Identification and Differentiation of Small Bowel Lesions With Distinct Hemorrhagic Potential Using a Convolutional Neural Network
AUTHORS: Mascarenhas, M; Afonso, J; Ribeiro, T; Ferreira, J ; Cardoso, H ; Andrade, P; Parente, M ; Natal, R; Macedo, G;
PUBLISHED: 2021, SOURCE: Annual Scientific Meeting and Postgraduate Course of the American-College-of-Gastroenterology (ACG) in AMERICAN JOURNAL OF GASTROENTEROLOGY, VOLUME: 116
INDEXED IN: WOS
4377
TITLE: Deep Learning and Device-Assisted Enteroscopy: Automatic Detection of Gastrointestinal Angioectasia
AUTHORS: Saraiva, MM; Ribeiro, T; Afonso, J; Andrade, P; Cardoso, P; Ferreira, J ; Cardoso, H ; Macedo, G ;
PUBLISHED: 2021, SOURCE: MEDICINA-LITHUANIA, VOLUME: 57, ISSUE: 12, PAGES: 1378
INDEXED IN: Scopus WOS CrossRef: 9
4378
TITLE: Deep Learning and Digital Single-Operator Cholangioscopy: Automatic Detection and Classification of Malignant Biliary Masses in Patients With Indeterminate Biliary Strictures
AUTHORS: Mascarenhas, M; Ribeiro, T; Afonso, J; Ferreira, J; Boas, FV; Cardoso, E; Natal, R; Pereira, P ; Macedo, G;
PUBLISHED: 2021, SOURCE: AMERICAN JOURNAL OF GASTROENTEROLOGY, VOLUME: 116
INDEXED IN: WOS
4379
TITLE: DEEP LEARNING AND DIGITAL SINGLE-OPERATOR CHOLANGIOSCOPY: AUTOMATIC IDENTIFICATION OF NEOPLASTIC BILIARY NODULES IN PATIENTS WITH INDETERMINATE BILIARY STENOSIS.  Full Text
AUTHORS: Mascarenhas, M; Ribeiro, T; Afonso, J; Ferreira, J; Vilas Boas, F; Cardoso, H ; Santos, AL; Natal, R; Pereira, P ; Macedo, G;
PUBLISHED: 2021, SOURCE: HEPATOLOGY, VOLUME: 74, PAGES: 631A-632A
INDEXED IN: WOS
4380
TITLE: Deep Learning-Assisted Short-Term Load Forecasting for Sustainable Management of Energy in Microgrid
AUTHORS: Moradzadeh, A; Moayyed, H; Zakeri, S; Mohammadi Ivatloo, B; A. Pedro Aguiar ;
PUBLISHED: 2021, SOURCE: INVENTIONS, VOLUME: 6, ISSUE: 1, PAGES: 1-11
INDEXED IN: Scopus WOS CrossRef: 1

Results per Page: 20.
Page 219 of 1411. Total results: 28204.