Generating Heterogeneous Multi-dimensional Data : A Comparative Study
arXiv:2507.00090v3 Announce Type: replace-cross Abstract: Allocation of personnel and material resources is highly sensible in the case of firefighter interventions.…
arXiv:2507.00090v3 Announce Type: replace-cross Abstract: Allocation of personnel and material resources is highly sensible in the case of firefighter interventions.…
arXiv:2507.21395v1 Announce Type: cross Abstract: Multimodal emotion recognition (MER) is crucial for enabling emotionally intelligent systems that perceive and respond…
arXiv:2506.01665v2 Announce Type: replace-cross Abstract: The deployment of autonomous robots in safety-critical applications requires safety guarantees. Provably safe reinforcement learning…
arXiv:2507.20623v1 Announce Type: cross Abstract: As the development of lightweight deep learning algorithms, various deep neural network (DNN) models have…
arXiv:2507.19657v1 Announce Type: cross Abstract: The development of next-generation networking systems has inherently shifted from throughput-based paradigms towards intelligent, information-aware…
arXiv:2507.01061v2 Announce Type: replace-cross Abstract: The integration of Large Language Models (LLMs) into social science experiments represents a transformative approach…
arXiv:2507.20578v1 Announce Type: cross Abstract: Recent advances in recommender systems rely on external resources such as knowledge graphs or large…
arXiv:2506.18414v2 Announce Type: replace-cross Abstract: Melanoma represents a critical health risk due to its aggressive progression and high mortality, underscoring…
arXiv:2507.19368v1 Announce Type: cross Abstract: Artificial intelligence is increasingly leveraged across various domains to automate decision-making processes that significantly impact…
arXiv:2503.05996v2 Announce Type: replace-cross Abstract: Reinforcement learning agents are fundamentally limited by the quality of the reward functions they learn…