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检索条件"机构=Computer Science and Intelligent Systems Program"
215 条 记 录,以下是1-10 订阅
A Fairness Analysis of Human and AI-Generated Student Reflection Summaries  5
A Fairness Analysis of Human and AI-Generated Student Reflec...
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5th Workshop on Gender Bias in Natural Language Processing, GeBNLP 2024, held in conjunction with the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024
作者: Baghel, Bhiman Kumar Narayanan, Arun Balajiee Lekshmi Yoder, Michael Miller Department of Computer Science United States Intelligent Systems Program University of Pittsburgh PA United States
This study examines the fairness of human- and AI-generated summaries of student reflections in university STEM classes, focusing on potential gender biases. Using topic modeling, we first identify topics that are mor... 详细信息
来源: 评论
Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval
Quantifying the Gaps Between Translation and Native Percepti...
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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
作者: Buettner, Kyle Kovashka, Adriana Intelligent Systems Program University of Pittsburgh United States Department of Computer Science University of Pittsburgh United States
There is a scarcity of multilingual vision-language models that properly account for the perceptual differences that are reflected in image captions across languages and cultures. In this work, through a multimodal, m... 详细信息
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Dynamic Sampling-Based Meta-Learning Using Multilingual Acoustic Data for Under-Resourced Speech Recognition
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IEEE Access 2024年 12卷 106070-106083页
作者: Hsieh, I-Ting Wu, Chung-Hsien Zhao, Zhe-Hong National Cheng Kung University Graduate Program of Multimedia Systems and Intelligent Computing Tainan70101 Taiwan National Cheng Kung University Department of Computer Science and Information Engineering Tainan70101 Taiwan
Under-resourced automatic speech recognition (ASR) has become an active field of research and has experienced significant progress during the past decade. However, the performance of under-resourced ASR trained by exi... 详细信息
来源: 评论
An Approach to Detect Abnormal Submissions for CodeWorkout Dataset  8
An Approach to Detect Abnormal Submissions for CodeWorkout D...
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8th Educational Data Mining in computer science Education Workshop, CSEDM 2024
作者: Hicks, Alex Shi, Yang Lekshmi-Narayanan, Arun-Balajiee Yan, Wei Marwan, Samiha Dept of Computer Science Virginia Tech Blacksburg VA Dept of Computer Science Utah State University Logan UT Intelligent Systems Program University of Pittsburgh Pittsburgh PA School of Informatics Computing and Cyber Systems North Arizona University Flagstaff AZ Dept. of Computer Science University of Virginia wCharlottesville VA
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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intelligent Constellation Generation based on Autoencoder Communication System  2
Intelligent Constellation Generation based on Autoencoder Co...
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2nd IEEE International Conference on computer Vision and Machine Intelligence, CVMI 2023
作者: Matsumoto, Kaisei Toma, Takao Oshiro, Shiho Wada, Tomohisa Computer Science and Intelligent Systems Program University of the Ryukyus Okinawa Japan Magna Design Net Inc Okinawa Japan Information Technology Center University of the Ryukyus Okinawa Japan Area of Computer Science and Intelligent Systems University of the Ryukyus Dept. of Engineering Okinawa Japan
This paper discusses intelligent constellation generation based on autoencoder communication system. In previous studies, the amplitude was set to fluctuate between r=0.0 and 1.0. However, when checking the generated ... 详细信息
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Scalability in Autoencoder-based OFDM Communication System  2
Scalability in Autoencoder-based OFDM Communication System
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2nd IEEE International Conference on computer Vision and Machine Intelligence, CVMI 2023
作者: Tsugawa, Seizan Toma, Takao Oshiro, Shiho Wada, Tomohisa University of the Ryukyus Computer Science and Intelligent Systems Program Okinawa Japan Magna Design Net Inc Okinawa Japan University of the Ryukyus Information Technology Center Okinawa Japan University of the Ryukyus Area of Computer Science and Intelligent Systems Dept. of Engineering Okinawa Japan
This paper proposed Scalability in Autoencoder-based Orthogonal Frequency Division Multiplexing(OFDM) communication system. In the previous research, only the comparison between IEEE802.11a and Autoencoder by the conv... 详细信息
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A Multimodal Recaptioning Framework to Account for Perceptual Diversity in Multilingual Vision-Language Modeling
arXiv
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arXiv 2025年
作者: Buettner, Kyle Emmerson, Jacob Kovashka, Adriana Intelligent Systems Program Department of Computer Science University of Pittsburgh United States
There are many ways to describe, name, and group objects when captioning an image. Differences are evident when speakers come from diverse cultures due to the unique experiences that shape perception. Machine translat... 详细信息
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Towards Generalization of Tactile Image Generation: Reference-Free Evaluation in a Leakage-Free Setting
arXiv
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arXiv 2025年
作者: Gungor, Cagri Eppinger, Derek Kovashka, Adriana Intelligent Systems Program Department of Computer Science University of Pittsburgh United States
Tactile sensing, which relies on direct physical contact, is critical for human perception and underpins applications in computer vision, robotics, and multimodal learning. Because tactile data is often scarce and cos... 详细信息
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Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition
Incorporating Geo-Diverse Knowledge into Prompting for Incre...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Kyle Buettner Sina Malakouti Xiang Lorraine Li Adriana Kovashka Intelligent Systems Program Department of Computer Science University of Pittsburgh PA USA
Existing object recognition models have been shown to lack robustness in diverse geographical scenarios due to domain shifts in design and context. Class representations need to be adapted to more accurately reflect a... 详细信息
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Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth
Boosting Weakly Supervised Object Detection using Fusion and...
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IEEE Workshop on Applications of computer Vision (WACV)
作者: Cagri Gungor Adriana Kovashka Intelligent Systems Program University of Pittsburgh Department of Computer Science University of Pittsburgh
Despite recent attention to depth for various tasks, it is still an unexplored modality for weakly-supervised object detection (WSOD). We propose an amplifier method for enhancing the performance of WSOD by integratin...
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