| 2025 | A Practical Synthesis of Detecting AI-Generated Textual, Visual, and Audio Content. | Lele Cao |
| 2025 | Class-Aware Hierarchical Feature Clustering for High-Dimensional Complex Ransomware Detection. | Bsra aliskan |
| 2025 | Large-Scale Optimizations in Proton Beam Radiotherapy by Neural Network Denoising of Robust Simulated Patient Data. | Angelo Calingo, Bikash Gautam, Peter L. Jin, Sidhya Pathak, Michelle Zhao, Hussam Fateen, Harrison Lewis, Matthias K. Gobbert, Vijay R. Sharma, Lei Ren, Ananta Chalise, Stephen W. Peterson, Jerimy C. Polf |
| 2025 | PULSAR: Advancing Interval-Based Time Series Classification to State-of-the-Art Performance. | Nestor Cabello, Lars Kulik |
| 2025 | Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms. | Fanchen Bu, Ruochen Yang, Paul Bogdan, Kijung Shin |
| 2025 | Efficient Deadline-Constrained Scheduling and Hybrid Parallelism Optimization of Distributed AutoML Pipelines. | Nikolay Butakov, Anton Vakhrushev, Maria Khodorchenko, Anastasiia Zakharova, Alexander Ryzhkov, Olga Plosskaya, Azamat Gainetdinov, Rinchin Damdinov, Dmitriy Alexandrov, Denis A. Nasonov, Maxim Savchenko |
| 2025 | Identifying Group Anchors in Real-World Group Interactions Under Label Scarcity. | Fanchen Bu, Geon Lee, Kijung Shin, Minyoung Choe |
| 2025 | Parameterized Hardware Generation for Mini-Float Summation-of-Absolute-Differences for AdderNet Based CNN Models. | Spencer Miles Buchanan, Jose Ramos, Cameron D. DiSomma, Yunxiang Zhang, Wenfeng Zhao, Xiaokun Yang |
| 2025 | Autoformalization of Cryptographic Protocols. | Lauren Brandt, Joshua D. Guttman, Andres Molina-Markham |
| 2025 | Discovering Communities in Continuous-Time Temporal Networks by Optimizing L-Modularity. | Victor Brabant, Angela Bonifati, Rmy Cazabet |
| 2025 | Smooth Transitions in Graph Self-Supervision: Mitigating Feature Twist Across Abstraction Levels. | Mohamed Bouguessa, Nairouz Mrabah, Youssef Amdouni |
| 2025 | Rockfall Forecasting Using Ensemble Deep Learning and Temporal Gradient-Based Explanations. | Sabrine Bouaziz, Christophe Lin-Kwong-Chon, Nicolas Mger, David Amitrano |
| 2025 | FlavorCharter: Development of a Smartphone App for Quantifying Food Flavor. | Francesco Botto, Guadalupe Canahuate, Xinhua Zhang, Clifton D. Fuller, G. Elisabeta Marai |
| 2025 | Efficient Large-Scale Learning of Minimax Risk Classifiers. | Kartheek Bondugula, Santiago Mazuelas, Aritz Prez |
| 2025 | Invariant and Environment-specific Preference Learning with Auxiliary Information for Unbiased Recommendation. | Ting Bi, Hangtong XU, Yuanbo Xu |
| 2025 | Subtrajectory Clustering with Machine Learning on Quantum Computers. | Wil Bishop, Eleazar Leal, Le Gruenwald |
| 2025 | Classification of Variable Stars Using Convolutional Neural Network. | Abhina Premachandran Bindu, Greg Olmschenk, Zhigang Zhu |
| 2025 | Mining Trustworthy Symbolic Regression Models in Federated Settings. | Mattia Billa, Veronica Guidetti, Luca La Rocca, Federica Mandreoli |
| 2025 | Resilient Pattern Mining. | Pengxin Bian, Panagiotis Charalampopoulos, Lorraine A. K. Ayad, Manal Mohamed, Solon P. Pissis, Grigorios Loukides |
| 2025 | NMRet: A Memory-Augmented Retrieval Framework for Large Language Models. | Sachin Bhat, Erik Cambria, Haibo Pen |
| 2025 | Feature-Guided SAE Steering for Refusal-Rate Control using Contrasting Prompts. | Samaksh Bhargav, Zining Zhu |
| 2025 | MuRAL-CPD: Active Learning for Multiresolution Change Point Detection. | Stefano Bertolasi, Diego Carrera, Diego Stucchi, Pasqualina Fragneto, Luigi Amedeo Bianchi |
| 2025 | An Efficient Self-Supervised Learning Framework for Swarm Robot Trajectory Analysis. | Brooklyn Berry, Gaukhar Nurbek, Juan Manuel Perez, Richard Tapia, Qi Lu, Yifeng Gao |
| 2025 | OA | Kamal Berahmand, Razieh Sheikhpour, Farid Saberi-Movahed, Mahdi Jalili |
| 2025 | Days of Future Past: Towards Robust Detection of Malware Variants via LLM-Based Embedding Generation. | Giacomo Benedetti, Luca Caviglione, Michal Choras, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Antonino Rullo |