Search Results - "Machine learning with applications" :: K.UTB vyhledávací portál

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AddGBoost: A gradient boosting-style algorithm based on strong learners

by Sipper, Moshe, Moore, Jason H.
Published in Machine learning with applications (15.03.2022)

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Multi-objective deep learning: Taxonomy and survey of the state of the art

by Peitz, Sebastian, Hotegni, Sèdjro Salomon
Published in Machine learning with applications (01.09.2025)

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PyRHOH: A meta-learning analysis framework for determining the impact of compilation on malicious JavaScript identification

by Fulkerson, Eli, Yocam, Eric, Vaidyan, Varghese, Kamepalli, Mahesh, Wang, Yong, Comert, Gurcan
Published in Machine learning with applications (01.09.2025)

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Optimizing travel time reliability with XAI: A Virginia interstate network case using machine learning and meta-heuristics

by Khorshidi, Navid, Zargari, Shahriar Afandizadeh, Rezashoar, Soheil, Mirzahossein, Hamid
Published in Machine learning with applications (01.09.2025)

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Topological data analysis for driver behavior classification driven by vehicle trajectory data

by Indah, Debbie, Mwakalonge, Judith, Comert, Gurcan, Siuhi, Saidi, Musau, Hannah, Osei, Eric, Omulokoli, Paul, Sulle, Methusela, Ruganuza, Denis, Gyimah, Nana Kankam
Published in Machine learning with applications (01.09.2025)

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A fine-tuned deep learning model for detecting Japanese beetles in soybeans using unmanned aircraft systems (UAS) and mobile imaging

by Grijalva, Ivan, Adams, H. Braden, McCornack, Brian
Published in Machine learning with applications (01.09.2025)

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Feature engineering through two-level genetic algorithm

by Gulati, Aditi, Felahatpisheh, Armin, Valderrama, Camilo E.
Published in Machine learning with applications (01.09.2025)

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Predicting flow-blurring droplet size using neural networks and Bayesian optimization: A data-driven approach

by S. Madani, S. Amirreza, Vaezi, Erfan, Mirfasihi, Seyed Sorosh, Keshmiri, Amir
Published in Machine learning with applications (01.09.2025)

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EmoFusion: An integrated machine learning model leveraging embeddings and lexicons to improve textual emotion classification

by Bhardwaj, Anjali, Abulaish, Muhammad
Published in Machine learning with applications (01.09.2025)

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Predicting abnormality-guided multimodal linguistic semantics Arabic image captioning

by Aljojo, Nahla, Ardah, Hanin, Tashkandi, Araek, Habibullah, Safa
Published in Machine learning with applications (01.09.2025)

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A Configurable Intrinsic Curiosity Module for a Testbed for Developing Intelligent Swarm UAVs

by Mahmood, Jawad, Raja, Muhammad Adil, Loane, John, McCaffery, Fergal
Published in Machine learning with applications (01.09.2025)

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AdVision: An efficient and effective deep learning based advertisement detector for printed media

by Sayyad, Faeze Zakaryapour, Shallari, Irida, Mousavirad, Seyed Jalaleddin, O’Nils, Mattias, Qureshi, Faisal Z.
Published in Machine learning with applications (01.09.2025)

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Enhanced credit risk prediction using deep learning and SMOTE-ENN resampling

by Aruleba, Idowu, Sun, Yanxia
Published in Machine learning with applications (01.09.2025)

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Predictive modelling of graphene-enhanced greases using classical feedback control and quantum kernel regression

by Stefan-Henningsen, Ethan, Kiani, Amirkianoosh
Published in Machine learning with applications (01.09.2025)

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Enhanced early detection of dysarthric speech disabilities using stacking ensemble deep learning model

by Prabhala, Jagat Chaitanya, Ragoju, Ravi, Kuppili, Venkatanareshbabu, Chesneau, Christophe
Published in Machine learning with applications (01.09.2025)

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DCLMA: Deep correlation learning with multi-modal attention for visual-audio retrieval

by Zhang, Jiwei, Hachiya, Hirotaka
Published in Machine learning with applications (01.09.2025)

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Connecting instance and model sparsity in multiple instance learning

by Riccardi, Enrico, Minotto, Thomas, Haff, Ingrid Hobæk, Sandve, Geir Kjetil
Published in Machine learning with applications (01.09.2025)

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Prediction of retention time in larger antisense oligonucleotide datasets using machine learning

by Rahal, Manal, Ahmed, Bestoun S., Bauer, Christoph A., Ulander, Johan, Samuelsson, Jörgen
Published in Machine learning with applications (01.09.2025)

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Precision glass thermoforming assisted by neural networks

by Zhang, Yuzhou, Hua, Mohan, Liu, Jinan, Ruan, Haihui
Published in Machine learning with applications (01.09.2025)

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Regularized regression outperforms trees for predicting cognitive function in the Health and Retirement Study

by Ishikawa, Kyle Masato, Taira, Deborah, Kaholokula, Joseph Keaweʻaimoku, Uechi, Matthew, Davis, James, Lim, Eunjung
Published in Machine learning with applications (01.09.2025)

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