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Publication search results
found 1,051 matches
- 2024
- Derek Abbott, Sonia Aissa, Anuradha Annaswamy, Nirwan Ansari, Jun Cai, Kun-Shan Chen, Yixin Chen, J.-C. Chiao, Ayman El-Baz, Shaikh Fattah, Hoay Gooi, Maya Gokhale, Chih-Lin I, Giuseppe Iannaccone, Yumi Iwashita, Bruce Jacob, Abbas Jamalipour, Bahram Javidi, Weihua Jiang, Okyay Kaynak, Hulya Kirkici, Germano Lambert-Torres, Shengtao Li, Michal Mrozowski, Michele Nappi, Dalma Novak, Hugo Proença, Yi Qian, Zhihua Qu, Susanto Rahardja, Mehrdad Saif, Ali Serpengüzel, Peter H. Siegel, Ashitey Trebi-Ollennu, Daniela Tuninetti, Ge Wang, Keith A. Wear, Andreas Weisshaar, C. Patrick Yue, Enrico Zio:
Editor-in-Chief. IEEE Access 12: i-xi (2024) - Roberto Figliè, Riccardo Amadio, Marios Tyrovolas, Chrysostomos D. Stylios, Lukasz Pasko, Dorota Stadnicka, Anna Carreras-Coch, Agustín Zaballos, Joan Navarro, Daniele Mazzei:
Towards a Taxonomy of Industrial Challenges and Enabling Technologies in Industry 4.0. IEEE Access 12: 19355-19374 (2024) - Diego Mañanes, Inés Rivero-García, Carlos Relaño, Miguel Torres, David Sancho, Daniel Jimenez-Carretero, Carlos Torroja Fungairino, Fátima Sánchez-Cabo:
SpatialDDLS: an R package to deconvolute spatial transcriptomics data using neural networks. Bioinform. 40(2) (2024) - Rudolf Vetschera, Dmitriy Knyazev, Daniel Rehsmann:
Properties of bundle valuations in carrier collaboration. Central Eur. J. Oper. Res. 32(2): 241-266 (2024) - Daniel Valero-Carreras, Raul Moragues, Juan Aparicio, Nadia M. Guerrero:
Evaluating different methods for ranking inputs in the context of the performance assessment of decision making units: A machine learning approach. Comput. Oper. Res. 163: 106485 (2024) - Roberto Magán-Carrión, Daniel Urda, Ignacio Díaz-Cano, Bernabé Dorronsoro:
Evaluating the Impact of Different Feature as a Counter Data Aggregation approaches on the Performance of NIDSs and Their Selected Features. Log. J. IGPL 32(2): 263-280 (2024) - Carlos Alexander Osorio Quero, Daniel Durini, José de Jesus Rangel-Magdaleno, José Martínez-Carranza, Ruben Ramos-Garcia:
Emerging Vision Technology: SPI Camera an Overview. IEEE Instrum. Meas. Mag. 27(2): 38-47 (2024) - Joshua C. Smith, Brian D. Williamson, David J. Cronkite, Daniel Park, Jill M. Whitaker, Michael F. McLemore, Joshua Osmanski, Robert Winter, Arvind Ramaprasan, Ann Kelley, Mary Shea, Saranrat Wittayanukorn, Danijela Stojanovic, Yueqin Zhao, Sengwee Toh, Kevin B. Johnson, David Aronoff, David S. Carrell:
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease. J. Am. Medical Informatics Assoc. 31(3): 574-582 (2024) - Daniel W. Carruth, Christopher Goodin, Lalitha Dabbiru, Nicklaus Scherrer, Marc N. Moore, Christopher H. Hudson, Lucas D. Cagle, Paramsothy Jayakumar:
Comparing real and simulated performance for an off-road autonomous ground vehicle in obstacle avoidance. J. Field Robotics 41(3): 798-810 (2024) - Álvaro Hernández, Rubén Nieto, Laura de Diego-Otón, María Carmen Pérez-Rubio, Jose M. Villadangos Carrizo, Daniel Pizarro, Jesús Ureña:
Detection of Anomalies in Daily Activities Using Data from Smart Meters. Sensors 24(2): 515 (2024) - Tingjun Lei, Chaomin Luo, Simon X. Yang, Daniel W. Carruth, Zhuming Bi:
Bio-Inspired Intelligence-Based Multiagent Navigation With Safety-Aware Considerations. IEEE Trans. Artif. Intell. 5(6): 2946-2961 (2024) - Thomas Sergent, Morgane Daniel, François Bouchet, Thibault Carron:
How Can Self-Evaluation and Self-Efficacy Skills of Young Learners be Scaffolded in a Web Application? IEEE Trans. Learn. Technol. 17: 1184-1197 (2024) - Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini:
Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer. ECIR (3) 2024: 226-242 - Daniel W. Carruth, Julie Baca, Christopher Lewis, Michael Stephens:
Bridging Understanding: A Multi-year Study of the Effect of Aesthetics, Usability and User Domain Knowledge on Interpreting Scientific Visualization. HCI (7) 2024: 3-13 - Timothy Sellers, Tingjun Lei, Chaomin Luo, Lantao Liu, Daniel W. Carruth:
Enhancing Human-Robot Cohesion through HAT Methods: A Crowd-Avoidance Model for Safety Aware Navigation. ICHMS 2024: 1-6 - Daniel Carrijo Polonio Araujo, Gabriel De Souza Pereira Gomes, Sofia Moreira de Andrade Lopes, Rafael Prux Fehlberg, Murilo Marques Pinto, Rogério Andrade Flauzino:
A Physics-informed Stairway Statistical Neural Model for DGA Analysis. ISGT 2024: 1-5 - Brandon Black, Timothy Sellers, Tingjun Lei, Chaomin Luo, Daniel W. Carruth:
Optimal Multi-target Navigation via Graph-based Algorithms in Complex Environments. ISIE 2024: 1-6 - Daniele Buonocore, Marco Carratù, Giuseppe Ciavolino, Matteo Ferro, Matteo Marino, Vincenzo Paciello:
Development of a Smart Sensor Framework for Predictive Maintenance. MetroInd4.0 & IoT 2024: 361-365 - Daniele Buonocore, Marco Carratù, Vincenzo Gallo, Valter Laino, Antonio Pietrosanto, Paolo Sommella:
Propagation of Measurement Uncertainty in IMU Orientation Tracking Algorithms. MetroInd4.0 & IoT 2024: 65-69 - José Álvaro Fernández-Carrasco, Lucía Muñoz-Solanas, Lander Segurola-Gil, Daniel Paredes-García:
CredSSI: Enhancing Security and Privacy with Self-Sovereign Identities Approach. PerCom Workshops 2024: 745-750 - Francisco J. Carreras Riudavets, Ainara Estarrona, Aritz Farwell, Mikel Iruskieta, Manuel Marco, Maite Melero, Arturo Montejo-Ráez, Daniel Riaño, German Rigau, Dolores Romero, Salvador Ros, Elena Sánchez, Xulio Sousa:
CLARIAH-ES: Strategic Network for the Integration in the European Research Infrastructures in Social Sciences and Humanities. SEPLN (Projects and Demonstrations) 2024: 30-35 - Daniel Zielasko, Ben Rehling, David Clement, Gregor Domes:
Carry-Over Effects Ruin Your (Cybersickness) Experiments and Balancing Conditions Is Not a Solution. VR Workshops 2024: 1-5 - Benjamin Kiefer, Lojze Zust, Matej Kristan, Janez Pers, Matija Tersek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Tuan-Anh Vu, Hai Nguyen-Truong, Tan-Sang Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan Feng, Nguyen Thanh Thien, Lixin Tian, Sheng-Yao Kuan, Yuan-Hao Ho, Ángel Bueno Rodríguez, Borja Carrillo-Perez, Alexander Klein, Antje Alex, Yannik Steiniger, Felix Sattler, Edgardo Solano-Carrillo, Matej Fabijanic, Magdalena Sumunec, Nadir Kapetanovic, Andreas Michel, Wolfgang Gross, Martin Weinmann:
2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results. WACV (Workshops) 2024: 869-891 - Charlotte Muth, Benedikt Geiger, Daniel Gil Gaviria, Laurent Schmalen:
Loss Design for Single-carrier Joint Communication and Neural Network-based Sensing. WSA 2024: 131-137 - Jesse Hoogland, George Wang, Matthew Farrugia-Roberts, Liam Carroll, Susan Wei, Daniel Murfet:
The Developmental Landscape of In-Context Learning. CoRR abs/2402.02364 (2024) - Riku Kikuta, Daniel W. Carruth, John E. Ball, Reuben Burch, Ichiro Kageyama:
Risk assessment and observation of driver with pedestrian using instantaneous heart rate and HRV. CoRR abs/2402.07041 (2024) - Himar Fabelo, Samuel Ortega, Adam Szolna, Diederik Bulters, Juan F. Piñeiro, Silvester Kabwama, Aruma J. O'Shanahan, Harry Bulstrode, Sara Bisshopp, B. R. Kiran, D. Ravi, Raquel Lazcano, Daniel Madroñal, C. Sosa, Carlos Espino Palma, M. Marquez, Maria De La Luz Plaza, R. Camacho, D. Carrera, M. Hernandez, Gustavo Marrero Callicó, Jesús Morera, Bogdan Stanciulescu, Guang-Zhong Yang, Rubén Salvador, Eduardo Juárez, César Sanz, R. Sarmiento:
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. CoRR abs/2402.10776 (2024) - Syed I. Munzir, Daniel B. Hier, Michael D. Carrithers:
High Throughput Phenotyping of Physician Notes with Large Language and Hybrid NLP Models. CoRR abs/2403.05920 (2024) - Alvaro Gomariz, Yusuke Kikuchi, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Daniela Ferrara, Huanxiang Lu, Orcun Goksel:
Joint semi-supervised and contrastive learning enables zero-shot domain-adaptation and multi-domain segmentation. CoRR abs/2405.05336 (2024) - Syed I. Munzir, Daniel B. Hier, Chelsea Oommen, Michael D. Carrithers:
A Large Language Model Outperforms Other Computational Approaches to the High-Throughput Phenotyping of Physician Notes. CoRR abs/2406.14757 (2024)
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