Image Classification With Small Datasets: Overview and Benchmark von Brigato, Lorenzo, Barz, Bjorn, Iocchi, Luca, Denzler, Joachim

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The Nutritional Content of Meal Images in Free-Living Conditions—Automatic Assessment with goFOODTM von Papathanail, Ioannis, Abdur Rahman, Lubnaa, Brigato, Lorenzo, Bez, Natalie, Vasiloglou, Maria, van der Horst, Klazine, Mougiakakou, Stavroula

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Eco-friendliness and fashion perceptual attributes of fashion brands: An analysis of consumers’ perceptions based on twitter data mining von Blasi, Silvia, Brigato, Lorenzo, Sedita, Silvia Rita

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Reducing meat consumption using a diet-related written prompt and the Swiss food pyramid: A field study von Zumthurm, Samuel, Papathanail, Ioannis, Abdur Rahman, Lubnaa, Brigato, Lorenzo, Mougiakakou, Stavroula, Stämpfli, Aline

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The Nutritional Content of Meal Images in Free-Living Conditions—Automatic Assessment with goFOOD[sup.TM] von Papathanail, Ioannis, Abdur Rahman, Lubnaa, Brigato, Lorenzo, Bez, Natalie S, Vasiloglou, Maria F, van der Horst, Klazine, Mougiakakou, Stavroula

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The Nutritional Content of Meal Images in Free-Living Conditions-Automatic Assessment with goFOOD TM von Papathanail, Ioannis, Abdur Rahman, Lubnaa, Brigato, Lorenzo, Bez, Natalie S, Vasiloglou, Maria F, van der Horst, Klazine, Mougiakakou, Stavroula

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Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets von Brigato, Lorenzo, Mougiakakou, Stavroula

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No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets von Brigato, Lorenzo, Mougiakakou, Stavroula

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RoboCup@Home-Objects: Benchmarking Object Recognition for Home Robots von Massouh, Nizar, Brigato, Lorenzo, Iocchi, Luca

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On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets von Brigato, Lorenzo, Iocchi, Luca

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Exploiting Time Dynamics for One-Class and Open-Set Anomaly Detection von Brigato, Lorenzo, Sartea, Riccardo, Simonazzi, Stefano, Farinelli, Alessandro, Iocchi, Luca, Napoli, Christian

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Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets von Brigato, Lorenzo, Mougiakakou, Stavroula

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No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets von Brigato, Lorenzo, Mougiakakou, Stavroula

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A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management von Panagiotou, Maria, Papathanail, Ioannis, Abdur Rahman, Lubnaa, Brigato, Lorenzo, Bez, Natalie S., Vasiloglou, Maria F., Stathopoulou, Thomai, de Galan, Bastiaan E., Pedersen-Bjergaard, Ulrik, van der Horst, Klazine, Mougiakakou, Stavroula

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A SAM based Tool for Semi-Automatic Food Annotation von Lubnaa Abdur Rahman, Papathanail, Ioannis, Brigato, Lorenzo, Mougiakakou, Stavroula

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On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets von Brigato, Lorenzo, Iocchi, Luca

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Food Recognition and Nutritional Apps von Lubnaa Abdur Rahman, Papathanail, Ioannis, Brigato, Lorenzo, Spanakis, Elias K, Mougiakakou, Stavroula

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A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge von Barz, Björn, Brigato, Lorenzo, Iocchi, Luca, Denzler, Joachim

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Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification von Brigato, Lorenzo, Barz, Björn, Iocchi, Luca, Denzler, Joachim

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An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports von Dack, Ethan, Brigato, Lorenzo, McMurray, Matthew, Fontanellaz, Matthias, Frauenfelder, Thomas, Hoppe, Hanno, Exadaktylos, Aristomenis, Geiser, Thomas, Funke-Chambour, Manuela, Christe, Andreas, Ebner, Lukas, Mougiakakou, Stavroula

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