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检索条件"机构=Computer Science and Intelligent Systems Program"
214 条 记 录,以下是31-40 订阅
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Toward Automatically Identifying Legally Relevant Factors  35
Toward Automatically Identifying Legally Relevant Factors
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35th International Conference on Legal Knowledge and Information systems, JURIX 2022
作者: Gray, Morgan Savelka, Jaromir Oliver, Wesley Ashley, Kevin Intelligent Systems Program University of Pittsburgh United States School of Law University of Pittsburgh United States School of Computer Science Carnegie Mellon University United States School of Law Duquesne University United States
In making legal decisions, courts apply relevant law to facts. While the law typically changes slowly over time, facts vary from case to case. Nevertheless, underlying patterns of fact may emerge. This research focuse... 详细信息
来源: 评论
A Two-stage Reconfiguration in Network Function Virtualization: Toward Service Function Chain Optimization
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IEEE Transactions on Network and Service Management 2025年
作者: Assis, Karcius D. R. Almeida, Raul C. Baghban, Hojjat Santos, Alex F. Boutaba, Raouf Electrical and Computer Engineering Department Salvador Brazil University of Waterloo David R. Cheriton School of Computer Science Canada Department of Electronics and Systems Recife Brazil Chang Gung University Department of Artificial Intelligence Taiwan Chang Gung University College of Intelligent Computing Taiwan Center of Science and Technology in Energy and Sustainability Brazil Postgraduate Program in Computer Science Bahia Brazil
Network Function Virtualization (NFV), as a promising paradigm, speeds up the service deployment by separating network functions from proprietary devices and deploying them on common servers in the form of software. A... 详细信息
来源: 评论
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics
arXiv
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arXiv 2023年
作者: Murali, Nihal Puli, Aahlad Yu, Ke Ranganath, Rajesh Batmanghelich, Kayhan Intelligent Systems Program University of Pittsburgh United States Department of Computer Science New York University United States Department of Electrical and Computer Engineering Boston University United States
Deep Neural Networks (DNNs) are prone to learning spurious features that correlate with the label during training but are irrelevant to the learning problem. This hurts model generalization and poses problems when dep... 详细信息
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Model for Anomaly Detection in Reducing Water Losses in the Distribution Network of Peru using Machine Learning Algorithms
Model for Anomaly Detection in Reducing Water Losses in the ...
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Software Engineering and computer science (CSECS), International Conference on
作者: Mayra Rivera Pricila Lucero José Luis Castillo-Sequera Lenis Wong Information Systems Engineering Program Universidad Peruana de Ciencias Aplicadas Lima Peru Department of Computer Science Group: Health Computing and Intelligent System Universidad de Alcalá Alcalá de Henares Spain
Water leakage in distribution networks is a significant challenge, especially in regions with limited infrastructure like Huancayo, Peru, where losses account for 32.82% of the distributed volume. This study introduce... 详细信息
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An Approach to Formation Control of UAVs Based on Applying Adapted Kohonen Neural Network
An Approach to Formation Control of UAVs Based on Applying A...
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Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)
作者: Mikhail Khachumov Intelligent Control Laboratory Ailamazyan Program Systems Institute of RAS Pereslavl-Zalessky Russia Federal Research Center” Computer Science and Control” of RAS Moscow Russia
The paper gives a statement and considers the solution of an urgent scientific problem of formation control for a group of unmanned aerial vehicles (UAVs) operating in an unstable environment. To construct the referen...
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LEATHER: A Framework for Learning to Generate Human-like Text in Dialogue
arXiv
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arXiv 2022年
作者: Sicilia, Anthony Alikhani, Malihe Intelligent Systems Program United States Computer Science Department University of Pittsburgh PittsburghPA United States
Algorithms for text-generation in dialogue can be misguided. For example, in task-oriented settings, reinforcement learning that optimizes only task-success can lead to abysmal lexical diversity. We hypothesize this i... 详细信息
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Modeling Non-Cooperative Dialogue: Theoretical and Empirical Insights
arXiv
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arXiv 2022年
作者: Sicilia, Anthony Maidment, Tristan Healy, Pat Alikhani, Malihe Intelligent Systems Program University of Pittsburgh Pittsburgh United States Department of Informatics and Networked Systems University of Pittsburgh Pittsburgh United States Department of Computer Science and Intelligent Systems Program University of Pittsburgh Pittsburgh United States
Investigating cooperativity of interlocutors is central in studying pragmatics of dialogue. Models of conversation that only assume cooperative agents fail to explain the dynamics of strategic conversations. Thus, we ... 详细信息
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The Model of Managing a Group of UAVs by a Single Operator for Tasks Requiring Increased Attention
The Model of Managing a Group of UAVs by a Single Operator f...
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International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
作者: Mikhail Khachumov Vyacheslav Khachumov Intelligent Control Laboratory Ailamazyan Program Systems Institute of RAS Pereslavl-Zalessky Russia RUDN University Federal Research Center "Computer Science and Control" of RAS Moscow Russia
The problem of optimizing the load on an operator of unmanned aerial vehicles (UAVs), which performs real-time tasks of researching and monitoring territories in an unstable environment is considered. Working load dep...
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Using LLMs to Discover Legal Factors
arXiv
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arXiv 2024年
作者: Gray, Morgan Savelka, Jaromir Oliver, Wesley Ashley, Kevin Intelligent Systems Program University of Pittsburgh United States School of Law University of Pittsburgh United States School of Computer Science Carnegie Mellon University United States School of Law Duquesne University United States
Factors are a foundational component of legal analysis and computational models of legal reasoning. These factor-based representations enable lawyers, judges, and AI and Law researchers to reason about legal cases. In... 详细信息
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An Approach to Detect Abnormal Submissions for CodeWorkout Dataset
arXiv
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arXiv 2024年
作者: Hicks, Alex Shi, Yang Arun-Balajiee Yan, Wei Marwan, Samiha Dept of Computer Science Virginia Tech BlacksburgVA United States Dept of Computer Science Utah State University LoganUT United States Lekshmi-Narayanan Intelligent Systems Program University of Pittsburgh PittsburghPA United States School of Informatics Computing and Cyber Systems North Arizona University FlagstaffAZ United States Dept. of Computer Science University of Virginia CharlottesvilleVA United States
Students’ interactions while solving problems in learning environments (i.e. log data) are often used to support students’ learning. For example, researchers use log data to develop systems that can provide students... 详细信息
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