Abstract: We explore the interpretability and explainability of machine learning software defect prediction models in the context of commercial system-level testing in Nokia 5G. We evaluate how they ...
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NFL player props, odds, bets: Week 1, 2025 NFL picks, SportsLine Machine Learning Model AI predictions, SGP
The arrival of the 2025 NFL season means more than just making spread or total picks, as it also gives bettors the opportunity to make NFL prop bets on the league's biggest stars. From the 13 games on ...
The Kansas City Chiefs and Los Angeles Chargers renew their AFC West rivalry when they meet in the 2025 NFL Sao Paulo Game on Friday. Kickoff at Corinthians Arena is scheduled for 8 p.m. ET. This ...
Laboratory for Chemistry and Life Science, Institute of Science Tokyo, R1-17, 4259 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa 226-8501, Japan ...
The FIA have announced the final classification from the F1 2025 Dutch Grand Prix at Zandvoort. In a thrilling return to racing, Isack Hadjar claimed his maiden F1 podium after Lando Norris suffered ...
This is the implementation of the paper "LLM4CDSR: Large Language Models Can Be a Good Bridge for Cross-domain Sequential Recommendation".
This is the code of the paper 'Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation' (Accepted by AAAI 2025).
Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. Most organismal traits result from the complex ...
Department of Materials Process Engineering, Nagoya University, Furo-chou, Chikusa-ku, Nagoya 464-8601, Japan Global Consolidated Research Institute for Science Wisdom, Waseda University, 513 ...
Abstract: This paper addresses the dynamic task assignment problem for multiple uncrewed aerial vehicles (UAVs) operating under weak communication. Existing learning-based methods face two primary ...
Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
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