STEM Workshops and Students’ Interest in Mathematics, Physics, and Computer Science: Machine Learning Approach

Authors: Aleksandar Milenković, Dragutin Ostojić, Dalibor Rajković, Milan Milikić

Source: International Journal of Instruction. 19:367-386

STEM Workshops and Students’ Interest in Mathematics, Physics, and Computer Science: Machine Learning Approach.

Authors: Milenković, Aleksandar¹ aleksandar.milenkovic@pmf.kg.ac.rs, Ostojić, Dragutin¹ dragutin.ostojic@pmf.kg.ac.rs, Rajković, Dalibor¹ d.rajkovicrs@gmail.com, Milikić, Milan² milikic.milan@yahoo.com

Source: International Journal of Instruction. Jan2026, Vol. 19 Issue 1, p367-386. 20p.

Subject Terms: STEM education, Mathematics, Physics, Student engagement, Sociodemographic factors, Computer science, Student interests, Machine learning

Integrated trucks assignment and scheduling problem with mixed service mode docks: A Q-learning based adaptive large neighborhood search algorithm: A Q-learning based adaptive large neighborhood search algorithm

Authors: Yueyi Li, Mehrdad Mohammadi, Xiaodong Zhang, Yunxing Lan, Willem van Jaarsveld

Source: European Journal of Operational Research. 333:117-137

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Adaptive large neighborhood search, Optimization and Control (math.OC), Q-Learning algorithm, FOS: Mathematics, Truck assignment and scheduling, Mixed service mode, Mathematics - Optimization and Control, Assignment, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2412.09090
https://research.tue.nl/en/publications/72ff8157-c154-45bf-8f8e-ff89e6eefc6e
https://doi.org/10.1016/j.ejor.2025.12.036

Electrical impedance tomography for anisotropic media: A machine learning approach to classify inclusions

Authors: Romina Gaburro, Patrick Healy, Shraddha Naidu, Clifford Nolan

Contributors: ULRR

Source: Computers & Mathematics with Applications. 214:51-74

Subject Terms: anisotropic inclusions, FOS: Computer and information sciences, Computer Science - Machine Learning, machine learning, FOS: Mathematics, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), 65N21, 35R30, 68T99, electrical impedance tomography, Machine Learning (cs.LG)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2502.04273

MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks

Authors: Cunlai Pu, Fangrui Wu, Rajput Ramiz Sharafat, Guangzhao Dai, Xiangbo Shu

Source: IEEE Transactions on Knowledge and Data Engineering. 38:3765-3777

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2505.09331

Epidemiological model calibration via graybox Bayesian optimization

Authors: Puhua Niu, Byung-Jun Yoon, Xiaoning Qian

Source: Infect Dis Model

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Machine Learning (stat.ML), Article, Machine Learning (cs.LG)

Access URL: https://pubmed.ncbi.nlm.nih.gov/41551338
http://arxiv.org/abs/2412.07193

Hardness of Learning Boolean Functions from Label Proportions

Authors: Venkatesan Guruswami, Rishi Saket

Contributors: Venkatesan Guruswami and Rishi Saket

Source: ACM Transactions on Computation Theory. 18:1-15

Subject Terms: FOS: Computer and information sciences, Computer Science - Computational Complexity, Computer Science - Machine Learning, Hardness, Computational learning, Computer Science - Data Structures and Algorithms, Learning from label proportions, Data Structures and Algorithms (cs.DS), Boolean functions, Computational Complexity (cs.CC), Machine Learning (cs.LG)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2403.19401
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2023.37

Edge-Assisted ML-Aided Uncertainty-Aware Vehicle Collision Avoidance at Urban Intersections

Authors: Dinesh Cyril Selvaraj, Christian Vitale, Tania Panayiotou, Panayiotis Kolios, Carla-Fabiana Chiasserini, Georgios Ellinas

Source: IEEE TRANSACTIONS ON INTELLIGENT VEHICLES

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Collision Avoidance, Trajectory Predictions, Uncertainty Estimation, Intelligent Transportation System, Machine Learning, Connected Autonomous Vehicles, Machine Learning (cs.LG)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2404.14523
https://ieeexplore.ieee.org/document/10185090
https://doi.org/10.1109/TIV.2023.3296190
https://hdl.handle.net/11583/2983096

AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding

Authors: Zikun Li, Zhuofu Chen, Remi Delacourt, Gabriele Oliaro, Zeyu Wang, Qinghan Chen, Shuhuai Lin, April Yang, Zhihao Zhang, Zhuoming Chen, Yi-Hsiang Lai, Xinhao Cheng, Xupeng Miao, Zhihao Jia

Source: Proceedings of the 21st European Conference on Computer Systems. :36-54

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence, Distributed, Parallel, and Cluster Computing (cs.DC), Computation and Language (cs.CL), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2501.12162

Aligning Multiple Knowledge Graphs in A Single Pass

Authors: Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Weigang Lu, Xinyan Huang, Jiangtao Cui, Xiaofei He

Source: Proceedings of the ACM Web Conference 2026. :3588-3599

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Computation and Language (cs.CL), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2408.00662

How to Strategize Human Content Creation in the Era of GenAI?

Authors: Seyed A. Esmaeili, Kevin Lim, Kshipra Bhawalkar, Zhe Feng, Di Wang, Haifeng Xu

Source: Proceedings of the ACM Web Conference 2026. :285-296

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Computer Science and Game Theory, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, Computer Science and Game Theory (cs.GT), Human-Computer Interaction (cs.HC), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2406.05187

GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations

Authors: Zhuoning Guo, Guangxing Chen, Qian Gao, Xiaochao Liao, Jianjia Zheng, Lu Shen, Hao Liu

Source: Proceedings of the ACM Web Conference 2026. :7769-7778

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), Information Retrieval (cs.IR), Computer Science - Information Retrieval, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2502.11490

Coverage-Constrained Human-AI Cooperation with Multiple Experts

Authors: Zheng Zhang 0046, Cuong Nguyen 0006, Kevin Wells, Thanh-Toan Do, David Rosewarne, Gustavo Carneiro 0001

Source: Proceedings of the AAAI Conference on Artificial Intelligence. 40:18055-18062

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2411.11976
https://openresearch.surrey.ac.uk/esploro/outputs/preprint/Coverage-Constrained-Human-AI-Cooperation-with-Multiple-Experts/991003565502346

Can Humans Teach Machines to Code?

Authors: Céline Hocquette, Johannes Langer, Andrew Cropper, Ute Schmid

Source: Proceedings of the AAAI Conference on Artificial Intelligence. 40:17472-17480

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Human-Computer Interaction, Human-Computer Interaction (cs.HC), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2404.19397

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models

Authors: Yifan Jia, Yuntao Du 0001, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin 0003, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang 0002, Xiaoye Qu, Qian Li 0043, Dongrui Liu

Source: Proceedings of the AAAI Conference on Artificial Intelligence. 40:22283-22291

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2505.19509

Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations

Authors: Bohan Zhou, Haoqi Yuan, Yuhui Fu 0004, Zongqing Lu 0002

Source: Proceedings of the AAAI Conference on Artificial Intelligence. 40:28919-28927

Subject Terms: FOS: Computer and information sciences, Computer Science - Robotics, Computer Science - Machine Learning, Robotics (cs.RO), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2410.02477

Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions

Authors: Reda Ouhamma, Maryam Kamgarpour

Source: Proceedings of the AAAI Conference on Artificial Intelligence. 40:17170-17178

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computer Science and Game Theory, Computer Science and Game Theory (cs.GT), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2312.08008

Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange

Authors: Haoyang Zheng, Hengrong Du, Ruqi Zhang, Guang Lin 0001

Source: Proceedings of the AAAI Conference on Artificial Intelligence. 40:36775-36783

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Machine Learning (stat.ML), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2501.17323

SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache

Authors: Qiuyu Zhu 0002, Liang Zhang, Qianxiong Xu, Cheng Long 0001, Jie Zhang 0002

Source: Proceedings of the AAAI Conference on Artificial Intelligence. 40:35204-35212

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2505.10951

Fine-Grained Interpretation of Political Opinions in Large Language Models

Authors: Hu, Jingyu, Yang, Mengyue, Du, Mengnan, Liu, Weiru

Contributors: Koenig, Sven, Jenkins, Chad, Taylor, Matthew E.

Source: Hu, J, Yang, M, Du, M & Liu, W 2026, Fine-Grained Interpretation of Political Opinions in Large Language Models. in S Koenig, C Jenkins & M E Taylor (eds), Proceedings of the AAAI Conference on Artificial Intelligence : AAAI-26 Special Track AI for Social Impact I. 45 edn, vol. 40, AAAI Conference on Artificial Intelligence, AAAI Press, Washington, USA, pp. 38570-38579. https://doi.org/10.1609/aaai.v40i45.41199

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computation and Language (cs.CL), Machine Learning (cs.LG)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2506.04774
https://research-information.bris.ac.uk/en/publications/c6231bf0-8eb5-4089-91de-4af69ce5be66
https://research-information.bris.ac.uk/ws/files/487293991/Pure486885566_AAAI_FineGrained.pdf
https://doi.org/10.1609/aaai.v40i45.41199
https://hdl.handle.net/1983/c6231bf0-8eb5-4089-91de-4af69ce5be66