Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part... von Bifet, Albert, Krilavičius, Tomas, Miliou, Ioanna, Nowaczyk, Slawomir

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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part... von Bifet, Albert, Krilavičius, Tomas, Miliou, Ioanna, Nowaczyk, Slawomir

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Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VI von Bifet, Albert, Davis, Jesse, Krilavičius, Tomas, Kull, Meelis, Ntoutsi, Eirini, Žliobaitė, Indrė

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Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VII von Bifet, Albert, Davis, Jesse, Krilavičius, Tomas, Kull, Meelis, Ntoutsi, Eirini, Žliobaitė, Indrė

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Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part III von Bifet, Albert, Davis, Jesse, Krilavičius, Tomas, Kull, Meelis, Ntoutsi, Eirini, Žliobaitė, Indrė

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Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part I von Bifet, Albert, Davis, Jesse, Krilavičius, Tomas, Kull, Meelis, Ntoutsi, Eirini, Žliobaitė, Indrė

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Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part II von Bifet, Albert, Davis, Jesse, Krilavičius, Tomas, Kull, Meelis, Ntoutsi, Eirini, Žliobaitė, Indrė

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Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part V von Bifet, Albert, Davis, Jesse, Krilavičius, Tomas, Kull, Meelis, Ntoutsi, Eirini, Žliobaitė, Indrė

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Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IV von Bifet, Albert, Davis, Jesse, Krilavičius, Tomas, Kull, Meelis, Ntoutsi, Eirini, Žliobaitė, Indrė

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A Novel Hybrid Gradient-Based Optimizer and Grey Wolf Optimizer Feature Selection Method for Human Activity Recognition Using Smartphone Sensors von Helmi, Ahmed Mohamed, Al-qaness, Mohammed A. A., Dahou, Abdelghani, Damaševičius, Robertas, Krilavičius , Tomas, Elaziz, Mohamed Abd

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Deep Learning Based Evaluation of Spermatozoid Motility for Artificial Insemination von Valiuškaitė, Viktorija, Raudonis, Vidas, Maskeliūnas, Rytis, Damaševičius, Robertas, Krilavičius, Tomas

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Pedestrian and Animal Recognition Using Doppler Radar Signature and Deep Learning von Buchman, Danny, Drozdov, Michail, Krilavičius, Tomas, Maskeliūnas, Rytis, Damaševičius, Robertas

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A Review of the Modification Strategies of the Nature Inspired Algorithms for Feature Selection Problem von Abu Khurma, Ruba, Aljarah, Ibrahim, Sharieh, Ahmad, Abd Elaziz, Mohamed, Damaševičius, Robertas, Krilavičius, Tomas

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Automatic Simplification of Lithuanian Administrative Texts von Mandravickaitė, Justina, Rimkienė, Eglė, Kapkan, Danguolė Kotryna, Kalinauskaitė, Danguolė, Krilavičius, Tomas

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Correcting Diacritics and Typos with a ByT5 Transformer Model von Stankevičius, Lukas, Lukoševičius, Mantas, Kapočiūtė-Dzikienė, Jurgita, Briedienė, Monika, Krilavičius, Tomas

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Reply to Nicholas et al. Using a ResNet-18 Network to Detect Features of Alzheimer's Disease on Functional Magnetic Resonance Imaging: A Failed Replication. Comment on "Odusami et... von Odusami, Modupe, Maskeliūnas, Rytis, Damaševičius, Robertas, Krilavičius, Tomas

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A comparative study of feature selection and feature extraction methods for financial distress identification von Kuizinienė, Dovilė, Savickas, Paulius, Kunickaitė, Rimantė, Juozaitienė, Rūta, Damaševičius, Robertas, Maskeliūnas, Rytis, Krilavičius, Tomas

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Analysis of Features of Alzheimer's Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network von Odusami, Modupe, Maskeliūnas, Rytis, Damaševičius, Robertas, Krilavičius, Tomas

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Brain Tissue Segmentation and Bias Field Correction of MR Image Based on Spatially Coherent FCM with Nonlocal Constraints von Song, Jianhua, Zhang, Zhe

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An Improved Sliding Window Area Method for T Wave Detection von Chen, Lei, Wei, Dingwen, Liu, Feifei, Wei, Shoushui, Shang, Haixia, Liu, Chengyu

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