Browsing Tetherless World Constellation by Issue Date

Now showing items 1-20 of 1019

    • SQuAT: An Unsupervised, Semantic-Driven Question Answering System over Tables 

      Pan, Feifei; Katsis, Y.; Canim, M.; Mihindukulasooriya, N.; Dash, S.; Massimiliano Gliozzo, A.; Kumar, V.; Fauceglia, N.R.; Fox, Peter (VLDB, 2023-12-01)
      NA

    • Leveraging Large Language Models for Mental Health Prediction via Online Text Data 

      Xu, Xuhai; Yao, Bingsheng; Dong, Yuanzhe; Yu, Hong; Hendler, James A.; Dey, Anind K.; Wang, Dakuo (ACM, 2023-07-26)
      The recent technology boost of large language models (LLMs) has empowered a variety of applications. However, there is very little research on understanding and improving LLMs' capability for the mental health domain. In ...

    • Semantically enabling clinical decision support recommendations 

      Seneviratne, Oshani; Das, Amar K.; Chari, Shruthi; Agu, Nkechinyere N.; Rashid, Sabbir M.; McCusker, Jamie P.; Franklin, Jade S.; Qi, Miao; Bennett, Kristin P.; Chen, Ching-Hua; Hendler, James A.; McGuinness, Deborah L. (BMC/Springer Nature, 2023-07-18)
      Background Clinical decision support systems have been widely deployed to guide healthcare decisions on patient diagnosis, treatment choices, and patient management through evidence-based recommendations. These recommendations ...

    • Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations 

      Yao, Bingsheng; Sen, Prithviraj; Popa, Lucian; Hendler, James A.; Wang, Dakuo (Association for Computational Linguistics, 2023-07)
      Human-annotated labels and explanations are critical for training explainable NLP models. However, unlike human-annotated labels whose quality is easier to calibrate (e.g., with a majority vote), human-crafted free-form ...

    • Characterizing Common Quarterly Behaviors In DeFi Lending Protocols 

      Green, Aaron; Giannattasio, Michael; Wang, Keran; Erickson, John S.; Seneviratne, Oshani; Bennett, Kristin P. (Springer, Cham., 2023-07)
      The emerging decentralized financial ecosystem (DeFi) is comprised of numerous protocols, one type being lending protocols. People make transactions in lending protocols, each of which is attributed to a specific blockchain ...

    • Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture 

      Yao, Bingsheng; Jindal, Ishan; Popa, Lucian; Katsis, Yannis; Ghosh, Sayan; He, Lihong; Lu, Yuxuan; Srivastava, Shashank; Hendler, James A.; Wang, Dakuo (arXiv, 2023-05-23)
      Data annotation is a costly task; thus, researchers have proposed low-scenario learning techniques like Active-Learning (AL) to support human annotators; Yet, existing AL works focus only on the label, but overlook the ...

    • Facilitating Reuse of Mental Health Questionnaires via Knowledge Graphs 

      Santos, Henrique; Rook, Kelsey; Pinheiro, Paulo; Gruen, Daniel M.; Chorpita, Bruce F.; McGuinness, Deborah L. (The Healthcare and Life Sciences Symposium, 2023-05-08)
      Questionnaires are one of the most common instrument types for screening patients for mental disorders. They are composed of items whose answers are typically scored to determine the elevation on a specified dimension, and ...

    • Eat4Genes: A Bioinformatic Rational Gene Targeting App and Prototype Model for Improving Human Health 

      Ford, M.L.; Cooley, J.M.; Sripada, V.; Erickson, John S.; Bennett, Kristin P.; Crawford, Dana R. (Frontiers in Nutrition, 2023-05-04)
      Eat4Genes is a prototype diet recommendation web app for patients, healthcare providers, and researchers that aids in the selection of a healthy diet to help treat and prevent numerous health conditions. Our approach is ...

    • Towards an Indoor Environmental Quality Management Ontology 

      Chung, Jihoon; Jacoby-Cooper, Gabriel; Rook, Kelsey; Santos, Henrique; Shelden, Dennis; Kendall, Elisa F.; McGuinness, Deborah L. (First International Workshop on Semantic Web on Constrained Things @ESWC-23 (SWoCoT-23), 2023-05)
      Buildings consume one-third of the world’s energy and are some of the major energy consumers on the planet. Occupants use this energy for enhancing indoor environmental quality (IEQ) which is affected by many factors ...

    • Whyis 2: An Open Source Framework for Knowledge Graph Development and Research 

      McCusker, Jamie; McGuinness, Deborah L. (Springer, 2023-03-23)
      Whyis is the first open source framework for creating custom provenance-driven knowledge graph applications, or KGApps, support- ing three principal tasks: knowledge curation, inference, and interaction. It has been used ...

    • RPIrates: Fun with OpenAI, GPTStudio and R! 

      Erickson, John S. (The Rensselaer IDEA, 2023-02-14)
      Seemingly everyone has been talking about the impact of OpenAI's ChatGPT on, well, everything​, including writing code. In this very special RPIrates we talk specifically about generating great, and sometimes not-so-great, ...

    • Understanding the limits of AI coding 

      Hendler, James A. (AAAS, 2023-02-09)
      In the 9 December 2022 issue, the Research Article “Competition-level code generation with AlphaCode” (Y. Li et al., p. 1092) and the accompanying Perspective, “AlphaCode and ‘datadriven’ programming” (J. Z. Kolter, p. ...

    • Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes 

      Chari, Shruthi; Acharya, Prasant; Gruen, Daniel M.; Zhang, Olivia; Eyigoz, Elif K.; Ghalwash, Mohamed; Seneviratne, Oshani; Saiz, Fernando Suarez; Meyer, Pablo; Chakraborty, Prithwish; McGuinness, Deborah L. (Elsevier, 2023-02)
      Medical experts may use Artificial Intelligence (AI) systems with greater trust if these are supported by ‘contextual explanations’ that let the practitioner connect system inferences to their context of use. However, their ...

    • Loaded Language and Conspiracy Theories on Reddit and Parler 

      Klein, Emily; Hendler, James A.; Golbeck, Jen (eScholarship.org (Univ. of California), 2023)
      Previous research found that loaded language (i.e., words, phrases, and overall rhetorical strategies that have strong emotional implications and intent to sway others) is used with significantly greater frequency by users ...

    • Analyzing and predicting success of professional musicians 

      Kang, Inwon; Michael, Mandulak; Szymanśki, Bolesław (Scientific Reports, 2022-12-17)
      The emergence of streaming services, e.g., Spotify, has changed the way people listen to music and the way professional musicians achieve fame and success. Classical music has been the backbone of Western media for a long ...

    • Semantic Technologies for Clinically Relevant Personal Health Applications 

      Chen, Ching-Hau; Gruen, Daniel; Harris, Jonathan; Hendler, James A.; McGuinness, Deborah L.; Monti, Marco; Rastogi, Nidhi; Seneviratne, Oshani; Zaki, Mohammed J (Springer, 2022-11-23)
      Despite recent advances in digital health solutions and machine learning, personal health applications that aim to modify health behaviors are still limited in their ability to offer more personalized decision support. ...

    • Taxonomy generation to insert out of vocabulary terms and hypernym-hyponym pair induction 

      Pan, Feifei; Chowdhury, Md Faisal Mahbub; Gliozzo, Alfio Massimiliano (USPTO, 2022-11-15)
      An approach to induction of unknown terms into a term taxonomy graph may be provided. The approach may include analyzing a domain specific corpus to generate a term taxonomy graph using a term taxonomy graph generation ...

    • Guiding principles for technical infrastructure to support computable biomedical knowledge 

      McCusker, Jamie; McIntosh, Leslie D.; Shaffer, Chris; Boisvert, Peter; Ryan, James; Navale, Vivek; Topaloglu, Umit; Richesson, Rachel L. (Wiley Periodicals LLC, 2022-11-01)
      Over the past 4 years, the authors have participated as members of the Mobilizing Computable Biomedical Knowledge Technical Infrastructure working group and focused on conceptualizing the infrastructure required to use ...

    • Building and Analyzing the Brazilian Legal Knowledge Graph 

      Pires, Rilder S.; Santos, Henrique; Guedes, Ricardo; Neto, João A. Monteiro; Caminha, Carlos; Furtado, Vasco (Joint Proceedings of the 3th International Workshop on Artificial Intelligence Technologies for Legal Documents (AI4LEGAL 2022) and the 1st International Workshop on Knowledge Graph Summarization (KGSum 2022), 2022-11-01)
      Artificial Intelligence has proven to be effective in streamlining processes in several domains. The Brazilian judiciary, specifically, has a very large number of cases, above the work capacity of the courts, generating ...

    • EaT-PIM: Substituting Entities in Procedural Instructions Using Flow Graphs and Embeddings 

      Shirai, Sola; Kim, HyeongSik (Springer, Cham, 2022-10-16)
      When cooking, it can sometimes be desirable to substitute ingredients for purposes such as avoiding allergens, replacing a missing ingredient, or exploring new flavors. More generally, the problem of substituting entities ...