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Publication search results
found 209 matches
- 2024
- Tristan Becker, Michael Wolff, Anika Linzenich, Linda Engelmann, Katrin Arning, Martina Ziefle, Grit Walther:
An integrated bi-objective optimization model accounting for the social acceptance of renewable fuel production networks. Eur. J. Oper. Res. 315(1): 354-367 (2024) - Khushboo Teotia, Yueran Jia, Naira Link Woite, Leo Anthony Celi, João Matos, Tristan Struja:
Variation in monitoring: Glucose measurement in the ICU as a case study to preempt spurious correlations. J. Biomed. Informatics 153: 104643 (2024) - Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria B. Misiura, Girish Mittapalle, R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun:
Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links. NeuroImage 285: 120485 (2024) - Hassan Bencherif, Damaris Kirsch Pinheiro, Olivier Delage, Tristan Millet, Lucas Vaz Peres, Nelson Bègue, Gabriela Dornelles Bittencourt, Maria Paulete Pereira Martins, Francisco Raimundo da Silva, Luiz Angelo Steffenel, Nkanyiso Mbatha, Vagner Anabor:
Ozone Trend Analysis in Natal (5.4°S, 35.4°W, Brazil) Using Multi-Linear Regression and Empirical Decomposition Methods over 22 Years of Observations. Remote. Sens. 16(1): 208 (2024) - Rogerio Ribeiro Marinho, Jean-Michel Martinez, Tereza Cristina Souza de Oliveira, Wagner Picanço Moreira, Lino Augusto Sander de Carvalho, Patricia Moreira-Turcq, Tristan Harmel:
Estimating the Colored Dissolved Organic Matter in the Negro River, Amazon Basin, with In Situ Remote Sensing Data. Remote. Sens. 16(4): 613 (2024) - Philip Kenneweg, Tristan Kenneweg, Fabian Fumagalli, Barbara Hammer:
No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation. IJCNN 2024: 1-8 - Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri Opitz, Leonardo F. R. Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Sebastian Gehrmann, Lining Zhang, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou:
On the Role of Summary Content Units in Text Summarization Evaluation. NAACL (Short Papers) 2024: 272-281 - Linpei Song, Zhuang Ma, Tristan Chong, Qihai Huang:
Into the Future: Exploring AI-Enhanced Person-Organization Fit through Cultural Understanding and Supportive Work Climate. PACIS 2024 - Tristan Naumann, Asma Ben Abacha, Steven Bethard, Kirk Roberts, Danielle S. Bitterman:
Proceedings of the 6th Clinical Natural Language Processing Workshop, ClinicalNLP@NAACL 2024, Mexico City, Mexico, June 21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-109-4 [contents] - Yang (Trista) Cao, Isabel Papadimitriou, Anaelia Ovalle, Marcos Zampieri, Francis Ferraro, Swabha Swayamdipta:
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, NAACL 2024, Mexico City, Mexico, June 18, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-117-9 [contents] - Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo:
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR abs/2403.01628 (2024) - Philip Kenneweg, Leonardo Galli, Tristan Kenneweg, Barbara Hammer:
Faster Convergence for Transformer Fine-tuning with Line Search Methods. CoRR abs/2403.18506 (2024) - Philip Kenneweg, Tristan Kenneweg, Barbara Hammer:
Improving Line Search Methods for Large Scale Neural Network Training. CoRR abs/2403.18519 (2024) - Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri Opitz, Leonardo F. R. Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Lining Zhang, Sebastian Gehrmann, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou:
On the Role of Summary Content Units in Text Summarization Evaluation. CoRR abs/2404.01701 (2024) - Pierre Laclau, Stéphane Bonnet, Bertrand Ducourthial, Xiaoting Li, Trista Lin:
Enhancing Automotive User Experience with Dynamic Service Orchestration for Software Defined Vehicles. CoRR abs/2407.02491 (2024) - Philip Kenneweg, Tristan Kenneweg, Fabian Fumagalli, Barbara Hammer:
No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation. CoRR abs/2407.20650 (2024) - Ching-Chi Lin, Mario Günzel, Junjie Shi, Tristan Taylan Seidl, Kuan-Hsun Chen, Jian-Jia Chen:
Eliminating Timing Anomalies in Scheduling Periodic Segmented Self-Suspending Tasks with Release Jitter. CoRR abs/2409.09061 (2024) - 2023
- David Fernández Blanco, Frédéric Le Mouël, Trista Lin, Marie-Pierre Escudié:
A Comprehensive Survey on Software as a Service (SaaS) Transformation for the Automotive Systems. IEEE Access 11: 73688-73753 (2023) - Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan:
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. Nucleic Acids Res. 51(W1): 62-69 (2023) - Tomasz Pieciak, Guillem París, Dani Beck, Ivan I. Maximov, Antonio Tristán-Vega, Rodrigo de Luis García, Lars T. Westlye, Santiago Aja-Fernández:
Spherical means-based free-water volume fraction from diffusion MRI increases non-linearly with age in the white matter of the healthy human brain. NeuroImage 279: 120324 (2023) - Linda Toca, Rebekka R. E. Artz, Catherine Smart, Tristan Quaife, Keith Morrison, Alessandro Gimona, Robert Hughes, Mark H. Hancock, Daniela Klein:
Potential for Peatland Water Table Depth Monitoring Using Sentinel-1 SAR Backscatter: Case Study of Forsinard Flows, Scotland, UK. Remote. Sens. 15(7): 1900 (2023) - Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya V. Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland:
Compositional Zero-Shot Domain Transfer with Text-to-Text Models. Trans. Assoc. Comput. Linguistics 11: 1097-1113 (2023) - Keming Lu, Peter Potash, Xihui Lin, Yuwen Sun, Zihan Qian, Zheng Yuan, Tristan Naumann, Tianxi Cai, Junwei Lu:
Prompt Discriminative Language Models for Domain Adaptation. ClinicalNLP@ACL 2023: 247-258 - Ehsan ul Haq, Yiming Zhu, Zijun Lin, Haodi Weng, Gareth Tyson, Lik-Hang Lee, Reza Hadi Mogavi, Tristan Braud, Pan Hui:
Understanding Characteristics of Catalyst Users in the WallStreetBets Community. ASONAM 2023: 320-324 - Jackson Lim, Yi Lin Lau, Leshawn Khin Ming Chan, Jia Ming Tristan Paul Goo, Huahua Zhang, Zhiyuan Zhang, Huaqun Guo:
CVE Records of Known Exploited Vulnerabilities. ICCCS 2023: 738-743 - David Fernández Blanco, Frédéric Le Mouël, Trista Lin, Amir Rekik:
Can Software Containerisation Fit The Car On-Board Systems ? CloudCom 2023: 123-130 - Andrew A. Chien, Liuzixuan Lin, Hai Nguyen, Varsha Rao, Tristan Sharma, Rajini Wijayawardana:
Reducing the Carbon Impact of Generative AI Inference (today and in 2035). HotCarbon 2023: 11:1-11:7 - Linda Toca, Keith Morrison, Tristan Quaife, Rebekka R. E. Artz, Alessandro Gimona:
Restored Scottish Blanket Bog Monitoring Using Time Series of Optical and Radar Satellite Data. IGARSS 2023: 2708-2710 - Philip Kenneweg, Leonardo Galli, Tristan Kenneweg, Barbara Hammer:
Faster Convergence for Transformer Fine-tuning with Line Search Methods. IJCNN 2023: 1-8 - Le Chen, Pei-Hung Lin, Tristan Vanderbruggen, Chunhua Liao, Murali Emani, Bronis R. de Supinski:
LM4HPC: Towards Effective Language Model Application in High-Performance Computing. IWOMP 2023: 18-33
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