Suchergebnisse - computer learning and pattern recognition::(automated OR automation) problems solving*

A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems von Xia, Youshen, Wang, Jun

“… In this paper, a bi-projection neural network for solving a class of constrained quadratic optimization problems is proposed …”
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Distributed Medical Image Analysis and Diagnosis through Crowd-Sourced Games: A Malaria Case Study von Mavandadi, Sam, Dimitrov, Stoyan, Feng, Steve, Yu, Frank, Sikora, Uzair, Yaglidere, Oguzhan, Padmanabhan, Swati, Nielsen, Karin, Ozcan, Aydogan

“… In this work we investigate whether the innate visual recognition and learning capabilities of untrained humans can be used in conducting reliable microscopic analysis of biomedical samples toward diagnosis …”
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An Interactive Approach to Solving Correspondence Problems von Jegelka, Stefanie, Kapoor, Ashish, Horvitz, Eric

“… Finding correspondences among objects in different images is a critical problem in computer vision …”
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Toward the Use of Neural Architecture Search: A Baseline Approach for Solving the Authorship Verification Problem von Salinas, Luis Ignacio Ferro, Castillo, Esteban, Hernández, Víctor Adrián Sosa

“… In this paper, we introduce a baseline approach for solving the authorship verification task by incorporating a straightforward Automated Machine Learning (AutoML …”
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Challenges and advanced concepts for the assessment of learning and memory function in mice von Lang, Benjamin, Kahnau, Pia, Hohlbaum, Katharina, Mieske, Paul, Andresen, Niek P., Boon, Marcus N., Thöne-Reineke, Christa, Lewejohann, Lars, Diederich, Kai

“… A wide range of protocols has been developed in mice to test, e.g., object recognition, spatial learning, procedural memory, sequential problem …”
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A Recurrent Neural Network for Solving Bilevel Linear Programming Problem von He, Xing, Li, Chuandong, Huang, Tingwen, Li, Chaojie, Huang, Junjian

“… ) modeled by means of a differential inclusion is proposed for solving the bilevel linear programming problem (BLPP …”
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Business Process Automation: A Workflow Incorporating Optical Character Recognition and Approximate String and Pattern Matching for Solving Practical Industry Problems von de Jager, Coenrad, Nel, Marinda

“… Companies are relying more on artificial intelligence and machine learning in order to enhance and automate existing business processes …”
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Deep Learning Applications in Surgery: Current Uses and Future Directions von Morris, Miranda X, Rajesh, Aashish, Asaad, Malke, Hassan, Abbas, Saadoun, Rakan, Butler, Charles E

“… Its tremendous capacity for powerful data-driven problem-solving has generated computational breakthroughs in many realms, with the fields of medicine and surgery becoming increasingly prominent avenues …”
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Integrating NSGA-II and Q-learning for Solving the Multi-objective Electric Vehicle Routing Problem with Battery Swapping Stations von Haddad, Anouar, Tlili, Takwa, Dahmani, Nadia, Krichen, Saoussen

“… ) and the Q-learning algorithm. This method not only addresses the NP-hard complexity of the problem but also aims to improve the sustainability and cost-effectiveness of electric vehicle routing operations …”
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Five points to check when comparing visual perception in humans and machines von Funke, Christina M., Borowski, Judy, Stosio, Karolina, Brendel, Wieland, Wallis, Thomas S. A., Bethge, Matthias

“… With the rise of machines to human-level performance in complex recognition tasks, a growing amount of work is directed toward comparing information processing in humans and machines …”
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Automated Gaze-Based Identification of Students’ Strategies in Histogram Tasks through an Interpretable Mathematical Model and a Machine Learning Algorithm von Boels, Lonneke, Moreno-Esteva, Enrique Garcia, Bakker, Arthur, Drijvers, Paul

“… As a first step toward automatic feedback based on students’ strategies for solving histogram tasks we investigated how strategy recognition can be automated based on students’ gazes …”
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A Novel Framework for Solving the Optimal Path Problem in Collaborative Consignment Delivery Systems Using Drones von K. B., Shibu Kumar, Samuel, Philip

“… Drone based consignment delivery system is considered to be the future of retail marketing where unmanned aerial vehicles are employed for door delivery of …”
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Solving Nonlinear Equality Constrained Multiobjective Optimization Problems Using Neural Networks von Mestari, Mohammed, Benzirar, Mohammed, Saber, Nadia, Khouil, Meryem

“… This paper develops a neural network architecture and a new processing method for solving in real time, the nonlinear equality constrained multiobjective optimization problem (NECMOP …”
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Comparing machines and humans on a visual categorization test von Fleuret, François, Li, Ting, Dubout, Charles, Wampler, Emma K, Yantis, Steven, Geman, Donald

“… Automated scene interpretation has benefited from advances in machine learning, and restricted tasks, such as face detection, have been solved with sufficient accuracy for restricted settings …”
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Alternative Approaches of Solving the Discrete Tomography von Sahakyan, H., Aslanyan, L.

“… We discuss Integer Linear Programming representation, and the ways of generating learning instances of this problem, to solve it using the machine learning methods …”
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Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network von Hu, Xiaolin, Wang, Jun

“… In recent years, a recurrent neural network called projection neural network was proposed for solving monotone variational inequalities and related convex optimization problems …”
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Computational thinking beyond coding: exploring student computational practices while playing and modifying a socio-scientific simulation game with integrated computational tools von Grizioti, Marianthi

“… Recently scientists have underscored a significant mismatch between the latest theoretical Computational Thinking conceptualizations as an upcoming literacy that goes beyond computer science …”
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KGE-UNIT: toward the unification of molecular interactions prediction based on knowledge graph and multi-task learning on drug discovery von Zhang, Chengcheng, Zang, Tianyi, Zhao, Tianyi

“… ) and multi-task learning, for simultaneous prediction of drug–target interactions (DTIs) and drug–drug interactions (DDIs) and enhancing the performance of each task, even when data availability is limited …”
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A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints von Xia, Youshen, Feng, Gang, Wang, Jun

“… This paper presents a novel recurrent neural network for solving nonlinear optimization problems with inequality constraints …”
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Does a language model “understand” high school math? A survey of deep learning based word problem solvers von Sundaram, Sowmya S., Gurajada, Sairam, Padmanabhan, Deepak, Abraham, Savitha Sam, Fisichella, Marco

“… From the latter half of the last decade, there has been a growing interest in developing algorithms for automatically solving mathematical word problems (MWP …”
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