Suchergebnisse - computer learning AND pattern recognition::(automated OR automation) problems solving~

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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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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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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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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Deconstruct to reconstruct: an automated pipeline for parsing complex CT assemblies von Lippmann, Peter, Remme, Roman, Hamprecht, Fred A.

“… Deconstructing such assemblies is an industrially important problem and an inspiring challenge for machine learning approaches …”
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Student assessment in cybersecurity training automated by pattern mining and clustering von Švábenský, Valdemar, Vykopal, Jan, Čeleda, Pavel, Tkáčik, Kristián, Popovič, Daniel

“… However, automated analysis of these data is challenging. The training tasks feature complex problem-solving, and many different solution approaches are possible …”
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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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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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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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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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Gemini-Assisted Deep Learning Classification Model for Automated Diagnosis of High-Resolution Esophageal Manometry Images von Popa, Stefan Lucian, Surdea-Blaga, Teodora, Dumitrascu, Dan Lucian, Pop, Andrei Vasile, Ismaiel, Abdulrahman, David, Liliana, Brata, Vlad Dumitru, Turtoi, Daria Claudia, Chiarioni, Giuseppe, Savarino, Edoardo Vincenzo, Zsigmond, Imre, Czako, Zoltan, Leucuta, Daniel Corneliu

“… Background/Objectives: To develop a deep learning model for esophageal motility disorder diagnosis using high-resolution manometry images with the aid of Gemini. Methods …”
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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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A synchronous deep reinforcement learning model for automated multi-stock trading von AbdelKawy, Rasha, Abdelmoez, Walid M., Shoukry, Amin

“… Automated trading is one of the research areas that has benefited from the recent success of deep reinforcement learning (DRL …”
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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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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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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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Using the K-Nearest Neighbors Algorithm for Automated Detection of Myocardial Infarction by Electrocardiogram Data Entries von Savostin, A. A., Ritter, D. V., Savostina, G. V.

“… This article presents a new approach to solving the problem of automated detection of myocardial infarction of various localization by electrocardiogram data entries …”
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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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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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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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