Solving Min-Max MTSP in a Reinforcement Learning context von Buinoschi-Tîrpescu, Anda, Breabăn, Mihaela Elena

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COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge von 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

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Integral Bone Age Regression von Doncean, Şerban-Gabriel, Barbu, Vlad, Balcan, Roxana, Miron, Radu, Breabăn, Mihaela Elena

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Advanced methods for dealing with high data imbalance for Embryo Fertility Classification von Panaite, Doru-Răzvan, Barbu, Vlad, Rosu, Radu-Andrei, Stoica, George, Doncean, Şerban-Gabriel, Breabăn, Mihaela Elena

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Automatic diagnosis of liver masses in Computed Tomography scans von Roşu, Radu-Andrei, Panaite, Doru-Răzvan, Balcan, Roxana Mihaela, Stoica, George, Barbu, Vlad, Doncean, Şerban-Gabriel, Gavriliuc, Emanuel, Breabăn, Mihaela Elena

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Artificial Intelligence Applied to Chest X-ray: A Reliable Tool to Assess the Differential Diagnosis of Lung Pneumonia in the Emergency Department von Ippolito, Davide, Maino, Cesare, Gandola, Davide, Franco, Paolo Niccolò, Miron, Radu, Barbu, Vlad, Bologna, Marco, Corso, Rocco, Breaban, Mihaela Elena

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Dealing with Data Imbalance in Text Classification von Padurariu, Cristian, Breaban, Mihaela Elena

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Artificial Intelligent Approaches in Petroleum Geosciences von Cranganu, Constantin, Luchian, Henri, Breaban, Mihaela Elena

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Revitalizing Regression Tasks Through Modern Training Procedures: Applications in Medical Image Analysis for Covid-19 Infection Percentage Estimation von Miron, Radu, Breaban, Mihaela Elena

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An Evolutionary Distributed Framework for Projection Pursuit von Ungureanu, Robert-Mihail, Breaban, Mihaela Elena

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Dynamic Objective Sampling in Many-objective Optimization von Breaban, Mihaela Elena, Iftene, Adrian

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Evolving Ensembles of Feature Subsets towards Optimal Feature Selection for Unsupervised and Semi-supervised Clustering von Breaban, Mihaela Elena

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Optimized Ensembles for Clustering Noisy Data von Breaban, Mihaela Elena

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Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification von Rosu, Radu-Andrei, Breaban, Mihaela-Elena, Luchian, Henri

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Multiobjective Projection Pursuit for Semisupervised Feature Extraction von Breaban, Mihaela Elena

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Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification von Radu-Andrei Rosu, Mihaela-Elena Breaban, Luchian, Henri

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SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP von Lupoaie, Vlad-Ioan, Chili, Ivona-Alexandra, Breaban, Mihaela Elena, Raschip, Madalina

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Application of Artificial Neural Networks in Geoscience and Petroleum Industry von Ashena, Rahman, Thonhauser, Gerhard

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Permeability Estimation in Petroleum Reservoir by Meta-heuristics: An Overview von Mohebbi, Ali, Kaydani, Hossein

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Use of Active Learning Method to Determine the Presence and Estimate the Magnitude of Abnormally Pressured Fluid Zones: A Case Study from the Anadarko Basin, Oklahoma von Cranganu, Constantin, Bahrpeyma, Fouad

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