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- ArticleDecember 2024
UAV-Enhanced Combination to Application: Comprehensive Analysis and Benchmarking of a Human Detection Dataset for Disaster Scenarios
AbstractUnmanned aerial vehicles (UAVs) have revolutionized search and rescue (SAR) operations, but the lack of specialized human detection datasets for training machine learning models poses a significant challenge. To address this gap, this paper ...
- ArticleNovember 2024
MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes
- Casper van Engelenburg,
- Fatemeh Mostafavi,
- Emanuel Kuhn,
- Yuntae Jeon,
- Michael Franzen,
- Matthias Standfest,
- Jan van Gemert,
- Seyran Khademi
AbstractDiverse and realistic floor plan data are essential for the development of useful computer-aided methods in architectural design. Today’s large-scale floor plan datasets predominantly feature simple floor plan layouts, typically representing ...
- ArticleOctober 2024
WiMANS: A Benchmark Dataset for WiFi-Based Multi-user Activity Sensing
AbstractWiFi-based human sensing has exhibited remarkable potential to analyze user behaviors in a non-intrusive and device-free manner, benefiting applications as diverse as smart homes and healthcare. However, most previous works focus on single-user ...
- ArticleJune 2024
CSEPrompts: A Benchmark of Introductory Computer Science Prompts
- Nishat Raihan,
- Dhiman Goswami,
- Sadiya Sayara Chowdhury Puspo,
- Christian Newman,
- Tharindu Ranasinghe,
- Marcos Zampieri
AbstractRecent advances in AI, machine learning, and NLP have led to the development of a new generation of Large Language Models (LLMs) that are trained on massive amounts of data and often have trillions of parameters. Commercial applications (e.g., ...
- research-articleSeptember 2023
Legal Holding Extraction from Italian Case Documents using Italian-LEGAL-BERT Text Summarization
ICAIL '23: Proceedings of the Nineteenth International Conference on Artificial Intelligence and LawPages 148–156https://doi.org/10.1145/3594536.3595177Legal holdings are used in Italy as a critical component of the legal system, serving to establish legal precedents, provide guidance for future legal decisions, and ensure consistency and predictability in the interpretation and application of the law. ...
- research-articleMay 2019
NIFify: Towards Better Quality Entity Linking Datasets
WWW '19: Companion Proceedings of The 2019 World Wide Web ConferencePages 815–818https://doi.org/10.1145/3308560.3316465The Entity Linking (EL) task identifies entity mentions in a text corpus and associates them with a corresponding unambiguous entry in a Knowledge Base. The evaluation of EL systems relies on the comparison of their results against gold standards. A ...
- ArticleNovember 2016
Automatic Key Selection for Data Linking
AbstractThe paper proposes an RDF key ranking approach that attempts to close the gap between automatic key discovery and data linking approaches and thus reduce the user effort in linking configuration. Indeed, data linking tool configuration is a ...
- ArticleFebruary 2016
Benchmark Datasets for Fault Detection and Classification in Sensor Data
SENSORNETS 2016: Proceedings of the 5th International Confererence on Sensor NetworksPages 185–195https://doi.org/10.5220/0005637901850195Data measured and collected from embedded sensors often contains faults, i.e., data points which are not an
accurate representation of the physical phenomenon monitored by the sensor. These data faults may be caused
by deployment conditions outside the ...
- research-articleDecember 2015
Recognizing Your Touch: Towards Strengthening Mobile Device Authentication via Touch Dynamics Integration
MoMM 2015: Proceedings of the 13th International Conference on Advances in Mobile Computing and MultimediaPages 108–116https://doi.org/10.1145/2837126.2837127Mobile devices have become an integral part of our routine activities. Some of the activities involve the storage or access of sensitive data (e.g. on-line banking, paperless prescription services, etc.). These mobile electronic services (e-Services) ...
- ArticleSeptember 2014
Cutset Networks: A Simple, Tractable, and Scalable Approach for Improving the Accuracy of Chow-Liu Trees
Machine Learning and Knowledge Discovery in DatabasesPages 630–645https://doi.org/10.1007/978-3-662-44851-9_40AbstractIn this paper, we present cutset networks, a new tractable probabilistic model for representing multi-dimensional discrete distributions. Cutset networks are rooted OR search trees, in which each OR node represents conditioning of a variable in ...