Zerendatu Artikuluak honen arabera: egilea"Taleb-Ahmed, Abdelmalik"

5-tik 1-5 emaitza erakusten

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      CNN based facial aesthetics analysis through dynamic robust losses and ensemble regression 

      Bougourzi, Fares; Dornaika, Fadi; Barrena Orueechebarria, Nagore; Distante, Cosimo; Taleb-Ahmed, Abdelmalik (Springer, 2023-05)
      In recent years, estimating beauty of faces has attracted growing interest in the fields of computer vision and machine learning. This is due to the emergence of face beauty datasets (such as SCUT-FBP, SCUT-FBP5500 and ...
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      COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge 

      Bougourzi, Fares; Distante, Cosimo; Dornaika, Fadi; Taleb-Ahmed, Abdelmalik; Hadid, Abdenour; Chaudhary, Suman; Yang, Wanting; Qiang, Yan; Anwar, Talha; Breaban, Mihaela Elena; Hsu, Chih-Chung; Tai, Shen-Chieh; Chen, Shao-Ning; Tricarico, Davide; Chaudhry, Hafiza Ayesha Hoor; Fiandrotti, Attilio; Grangetto, Marco; Spatafora, Maria Ausilia Napoli; Ortis, Alessandro; Battiato, Sebastiano (MDPI, 2024-02-28)
      COVID-19 analysis from medical imaging is an important task that has been intensively studied in the last years due to the spread of the COVID-19 pandemic. In fact, medical imaging has often been used as a complementary ...
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      Deep learning based face beauty prediction via dynamic robust losses and ensemble regression 

      Bougourzi, Fares; Dornaika, Fadi; Taleb-Ahmed, Abdelmalik (Elsevier, 2022-04-22)
      In the last decade, several studies have shown that facial attractiveness can be learned by machines. In this paper, we address Facial Beauty Prediction from static images. The paper contains three main contributions. ...
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      Face Presentation Attack Detection Using Deep Background Subtraction 

      Benlamoudi, Azeddine; Bekhouche, Salah Eddine; Korichi, Maarouf; Bensid, Khaled; Ouahabi, Abdeldjalil; Hadid, Abdenour; Taleb-Ahmed, Abdelmalik (MDPI, 2022-05-15)
      Currently, face recognition technology is the most widely used method for verifying an individual’s identity. Nevertheless, it has increased in popularity, raising concerns about face presentation attacks, in which a photo ...
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      Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans 

      Bougourzi, Fares; Distante, Cosimo; Ouafi, Abdelkrim; Dornaika, Fadi; Hadid, Abdenour; Taleb-Ahmed, Abdelmalik (MDPI, 2021-09-18)
      COVID-19 infection recognition is a very important step in the fight against the COVID-19 pandemic. In fact, many methods have been used to recognize COVID-19 infection including Reverse Transcription Polymerase Chain ...