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Publication search results
found 59 matches
- 2024
- Adel Remadi, Karim El Hage, Yasmina Hobeika, Francesca Bugiotti:
To prompt or not to prompt: Navigating the use of Large Language Models for integrating and modeling heterogeneous data. Data Knowl. Eng. 152: 102313 (2024) - Bruna Coelho de Lima, José Alexandre Melo Demattê, Carlos H. dos Santos, Carlos S. Tiritan, Raúl Roberto Poppiel, Marcos Rafael Nanni, Renan Falcioni, Caio Almeida de Oliveira, Nicole G. Vedana, Guilherme Zimmermann, Amanda Silveira Reis:
The Use of Vis-NIR-SWIR Spectroscopy and X-ray Fluorescence in the Development of Predictive Models: A Step forward in the Quantification of Nitrogen, Total Organic Carbon and Humic Fractions in Ferralsols. Remote. Sens. 16(16): 3009 (2024) - Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent J. Hecht, Jaime Teevan:
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. ACL (1) 2024: 11100-11115 - Abir Gorrab, Nourhène Ben Rabah, Bénédicte Le Grand, Rébecca Deneckère, Thomas Bonnerot:
Detecting Signs of Depression in Social Networks Users: A Framework for Enhancing the Quality of Machine Learning Models. AINA (2) 2024: 303-315 - René Kuchenbuch, Laura Niemann, Johann Schütz, Jürgen Sauer:
Towards Intelligent Systems to Improve IEC 62559 Use Cases and Smart Grid Architecture Models Quality. CAiSE Forum 2024: 38-46 - Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye:
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models. USENIX Security Symposium 2024 - Alison Callahan, Duncan C. McElfresh, Juan M. Banda, Gabrielle Bunney, Danton Char, Jonathan H. Chen, Conor K. Corbin, Debadutta Dash, Norman L. Downing, Sneha S. Jain, Nikesh Kotecha, Jonathan Masterson, Michelle M. Mello, Keith E. Morse, Srikar Nallan, Abby Pandya, Anurang Revri, Aditya Sharma, Christopher D. Sharp, Rahul Thapa, Michael Wornow, Alaa Youssef, Michael A. Pfeffer, Nigam H. Shah:
Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems. CoRR abs/2403.07911 (2024) - Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent J. Hecht, Jaime Teevan:
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. CoRR abs/2403.12388 (2024) - David Mulvey, Chuan Heng Foh, Muhammad Ali Imran, Rahim Tafazolli:
Use of Parallel Explanatory Models to Enhance Transparency of Neural Network Configurations for Cell Degradation Detection. CoRR abs/2404.11311 (2024) - Sai Krishna Revanth Vuruma, Dezhi Wu, Saborny Sen Gupta, Lucas Aust, Valerie Lookingbill, Caleb Henry, Yang Ren, Erin Kasson, Li-Shiun Chen, Patricia A. Cavazos-Rehg, Dian Hu, Ming Huang:
Utilizing Large Language Models to Identify Reddit Users Considering Vaping Cessation for Digital Interventions. CoRR abs/2404.17607 (2024) - Jordan Rey-Jouanchicot, André Bottaro, Eric Campo, Jean-Léon Bouraoui, Nadine Vigouroux, Frédéric Vella:
Leveraging Large Language Models for enhanced personalised user experience in Smart Homes. CoRR abs/2407.12024 (2024) - Zonghao Huang, Neil Zhenqiang Gong, Michael K. Reiter:
A General Framework for Data-Use Auditing of ML Models. CoRR abs/2407.15100 (2024) - 2023
- Qiankun Hu, Yong-Ping Zhao, Lihua Ren:
Novel Transformer-Based Fusion Models for Aero-Engine Remaining Useful Life Estimation. IEEE Access 11: 52668-52685 (2023) - Isadora Santos, Regina Barwaldt, Anderson Santos, Miguel Santos, Luis Otoni Ribeiro, Jeferson da Silva Oliveira:
Performance Comparison Between Sentiment Classification Models for Use in Chatbots in Virtual Learning Environments. FIE 2023: 1-8 - Rohit Gupta, Nico Jansen, Nikolaus Regnat, Bernhard Rumpe:
User-Centric Model-Aware Recommendations for Industrial Domain-Specific Modelling Languages. MoDELS (Companion) 2023: 330-341 - Yesugen Baatartogtokh, Irene Foster, Alicia M. Grubb:
Visualizations for User-supported State Space Exploration of Goal Models. RE 2023: 281-286 - Manuel Muñoz Sánchez, Emilia Silvas, Jos Elfring, René van de Molengraft:
Robustness Benchmark of Road User Trajectory Prediction Models for Automated Driving. CoRR abs/2304.01895 (2023) - Vagner Figueredo de Santana, Larissa Monteiro Da Fonseca Galeno, Emilio Vital Brazil, Aliza Heching, Renato Cerqueira:
Retrospective End-User Walkthrough: A Method for Assessing How People Combine Multiple AI Models in Decision-Making Systems. CoRR abs/2305.07530 (2023) - Gonzalo Martínez, Javier Conde, Elena Merino Gómez, Beatriz Bermúdez-Margaretto, José Alberto Hernández, Pedro Reviriego, Marc Brysbaert:
The continued usefulness of vocabulary tests for evaluating large language models. CoRR abs/2310.14703 (2023) - 2022
- Rohit Gupta, Nico Jansen, Nikolaus Regnat, Bernhard Rumpe:
Design guidelines for improving user experience in industrial domain-specific modelling languages. MoDELS (Companion) 2022: 737-748 - 2021
- Andreas Obermeier, Nikolaus Vollmer, Christoph Windmeier, Erik Esche, Jens-Uwe Repke:
Generation of linear-based surrogate models from non-linear functional relationships for use in scheduling formulation. Comput. Chem. Eng. 146: 107203 (2021) - Paul Boutot, Mirza Rehenuma Tabassum, Sadaf Mustafiz:
UCM4IoT: A Use Case Modelling Environment for IoT Systems. MoDELS (Companion) 2021: 767-776 - Tugçe Günes, Cahid Arda Öz, Fatma Basak Aydemir:
ArTu: A Tool for Generating Goal Models from User Stories. RE 2021: 436-437 - 2020
- Meghan Reading Turchioe, Natalie C. Benda, Lisa Grossman Liu, Fei Wang, Kristen E. Miller:
Designing a window into the "black box": User-centered design for improving interpretability of predictive models. AMIA 2020 - Josef Florian, Jakub Drdák, Radek Tomsu, Karel Koupil, Václav Blahut, Jaroslav Kuchar, Michal Rehor:
Combining Models for Better User Satisfaction in Video Recommendation. ORSUM@RecSys 2020 - Raphael Thiago, Renan Souza, Leonardo Azevedo, Eduardo E. M. Soares, Rodrigo C. M. Santos, Wallas Henrique S. dos Santos, Maximilien de Bayser, Marcelo Cardoso, Márcio Ferreira Moreno, Renato Cerqueira:
Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case. CoRR abs/2003.04915 (2020) - 2019
- Muhammad Raza, Farookh Khadeer Hussain, Omar Khadeer Hussain, Ming Zhao, Zia ur Rehman:
A comparative analysis of machine learning models for quality pillar assessment of SaaS services by multi-class text classification of users' reviews. Future Gener. Comput. Syst. 101: 341-371 (2019) - 2018
- Mike Schwank, Reza Naderpour, Christian Mätzler:
"Tau-Omega"- and Two-Stream Emission Models Used for Passive L-Band Retrievals: Application to Close-Range Measurements over a Forest. Remote. Sens. 10(12): 1868 (2018) - Narsi Reddy, Ajita Rattani, Reza Derakhshani:
Comparison of Deep Learning Models for Biometric-based Mobile User Authentication. BTAS 2018: 1-6 - Nathaniel Watson, Steve Reeves, Paolo Masci:
Integrating User Design and Formal Models within PVSio-Web. F-IDE@FLoC 2018: 95-104
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