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41

Predicting Programming Anxiety Among Computer Studies Students Using Automated Machine Learning
null Eduardo R. Yu II ; null Elmerito D. Pineda ; null Isagani M. Tano ; et al.
International Journal of Latest Technology in Engineering Management & Applied Science. 14:314-324

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42

Integer linear programming for unsupervised training set selection in molecular machine learning
Haeberle, Matthieu ; van Gerwen, Puck ; Laplaza, Ruben ; et al.
Mach. Learn.: Sci. Technol. 6, 025030 (2025)

Physics - Chemical Physi... Computer Science - Machi...
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43

Hybrid Genetic Programming and Deep Reinforcement Learning for Low-Complexity Robot Arm Trajectory Planning
Vacher, Quentin ; Beuve, Nicolas ; Allaire, Paul ; et al.
16th International Conference on Evolutionary Computation Theory and Applications. :139-150

Porto, Portugal Machine learning Physics Astronomy Genetic programming Reinforcement learning …
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44

Score Prediction from Programming Exercise System Logs Using Machine Learning
Tanaka, Tetsuo ; Ueda, Mari
7

Scores Prediction Programming Artificial Intelligence Web Based Instruction Web Sites …
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45

Promoting Deep Learning Through a Concept Map-Building Collaborative Activity in an Introductory Programming Course
Barros, João Paulo ; CTS - Centro de Tecnologia e Sistemas ; UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias ; et al.

active-learning concept maps concepts education learning activity object-oriented programm... …
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46

Answer Set Networks: Casting Answer Set Programming into Deep Learning
Skryagin, Arseny ; Ochs, Daniel ; Deibert, Phillip ; et al.

Computer Science - Artif... Computer Science - Machi... Computer Science - Symbo... 68T37, 68T30, 68T27 I.2.4 I.2.5
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47

Image-based machine learning and cluster analysis for urban road network: employing Orange for codeless visual programming
Zuo Zhang ; Mengwei Zhang ; Xiangxiang Song ; et al.
Geo-spatial Information Science, Pp 1-18 (2024)

QB275-343 05 social sciences 0211 other engineering a... Mathematical geography.... 02 engineering and techn... Urban road networks …
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48

Technical Note—Data-Driven Sample Average Approximation with Covariate Information.
Kannan, Rohit ; Bayraksan, Güzin ; Luedtke, James R.
Operations Research. Nov/Dec2025, Vol. 73 Issue 6, p3245-3259. 15p.

DECISION making EMPIRICAL research MATHEMATICAL optimizatio... STOCHASTIC programming MACHINE learning INDEPENDENT variables …
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49

Bridging Logic Programming and Deep Learning for Explainability through ILASP
Dreossi, Talissa
EPTCS 416, 2025, pp. 314-323

Computer Science - Logic...
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50

Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components: Need for Standardization
Salmanpour, Mohammad R. ; Alizadeh, Morteza ; Mousavi, Ghazal ; et al.

Computer Science - Machi... Computer Science - Softw... Physics - Computational...
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51

A comprehensive methodology combining machine learning and unified robust stochastic programming for medical supply chain viability
Yılmaz, Ömer Faruk ; Guan, Yongpei ; Yılmaz, Beren Gürsoy ; et al.
In Omega June 2025 133

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52

Analysis of Online Learning Behavior in Java Programming Design Courses using a Hybrid Machine Learning Approach
Wenchang Wang
2025 International Conference on Intelligent Computing and Knowledge Extraction (ICICKE). :1-7

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53

Machine Learning-Enhanced Data Exchange with Azure Application Programming Interface Management
Karthikeyan Marappan ; Ramchandar Rao R ; Monisha R ; et al.
2025 11th International Conference on Communication and Signal Processing (ICCSP). :1784-1789

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54

SkePU-DNN: Algorithmic Skeleton Programming for Deep Learning on Heterogeneous Systems
Sehrish Qummar ; August Ernstsson ; Christoph Kessler ; et al.
2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). :423-432

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55

Programming Language Identification via Selection of Target Categories and Machine Learning for Unknown Category
Heejeong Yoo ; Eunsu Lee ; Hoon Yoo
The transactions of The Korean Institute of Electrical Engineers. 74:950-956

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56

Machine Learning and Genetic Programming-based behavioral modeling approaches of Li-ion Batteries
Giulia Di Capua ; Mario Molinara ; Antonio Maffucci ; et al.
2025 IEEE International Symposium on Circuits and Systems (ISCAS). :1-5

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58

A 65 nm General-Purpose Compute-in-Memory Processor Supporting Both General Programming and Deep Learning Tasks
Yuhao Ju ; Yijie Wei ; Jie Gu
IEEE Journal of Solid-State Circuits. 60:1500-1511

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59

Performance of machine learning tools. Comparve analysis of libraries in interpreted and compiled programming languages
Tomasz Wiejak ; Jakub Smołka
Journal of Computer Sciences Institute, Vol 33 (2024)

compiled language 0301 basic medicine interpreted language 0303 health sciences 03 medical and health sc... machine learning …
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60

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