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Publication search results
found 88 matches
- 2024
- Joaquín Torres-Sospedra, Ivo Silva, Cristiano G. Pendão, Filipe Meneses, Adriano J. C. Moreira:
Hyperparameterless k-NN for Wi-Fi Fingerprinting. ICL-GNSS 2024: 1-7 - 2023
- Ivo Silva, Cristiano G. Pendão, Joaquín Torres-Sospedra, Adriano J. C. Moreira:
Industrial Environment Multi-Sensor Dataset for Vehicle Indoor Tracking with Wi-Fi, Inertial and Odometry Data. Data 8(10): 157 (2023) - Clara Berenguer, Adriano Borges, Sávio Freire, Nicolli Rios, Robert Ramac, Nebojsa Tausan, Boris Pérez, Camilo Castellanos, Darío Correal, Alexia Pacheco, Gustavo López, Manoel G. Mendonça, Davide Falessi, Carolyn Seaman, Vladimir Mandic, Clemente Izurieta, Rodrigo O. Spínola:
Investigating the Relationship between Technical Debt Management and Software Development Issues. J. Softw. Eng. Res. Dev. 11: 3:1-3:21 (2023) - Adriano Torres, Caio Oliveira, Márcio Vinicius Okimoto, Diego Marcilio, Pedro Queiroga, Fernando Castor, Rodrigo Bonifácio, Edna Dias Canedo, Márcio Ribeiro, Eduardo Monteiro:
An Investigation of confusing code patterns in JavaScript. J. Syst. Softw. 203: 111731 (2023) - Adriano Torres, Pedro Henrique Teixeira Costa, Luis Henrique Vieira Amaral, Jonata Pastro, Rodrigo Bonifácio, Marcelo d'Amorim, Owolabi Legunsen, Eric Bodden, Edna Dias Canedo:
Runtime Verification of Crypto APIs: An Empirical Study. IEEE Trans. Software Eng. 49(10): 4510-4525 (2023) - Paulo Quaresma, Pedro D. Medeiros, Adriano Lopes:
PSE for Analysis of 3D Tomographic Images in Materials Science. FedCSIS 2023: 1113-1117 - Miguel Matey-Sanz, Joaquín Torres-Sospedra, Adriano J. C. Moreira:
Temporal Stability on Human Activity Recognition based on Wi-Fi CSI. IPIN 2023: 1-6 - Cristiano G. Pendão, Ivo Silva, Adriano J. C. Moreira, Fernando J. Aranda, Joaquín Torres-Sospedra:
Towards Quality Wi-Fi Synthetic Data for Indoor Positioning Evaluation. IPIN 2023: 1-6 - Ivo Silva, Cristiano G. Pendão, Joaquín Torres-Sospedra, Adriano J. C. Moreira:
Overcoming Radio Map Degradation in Wi-Fi-based Positioning Systems. IPIN 2023: 1-6 - Joaquín Torres-Sospedra, Cristiano G. Pendão, Ivo Silva, Filipe Meneses, Darwin Quezada-Gaibor, Raúl Montoliu, Antonino Crivello, Paolo Barsocchi, Antoni Pérez-Navarro, Adriano J. C. Moreira:
Let's Talk about k-NN for Indoor Positioning: Myths and Facts in RF-based Fingerprinting. IPIN 2023: 1-6 - Adriano Torres, Sebastian Baltes, Christoph Treude, Markus Wagner:
Applying information theory to software evolution. NLBSE@ICSE 2023: 48-55 - Xiaorui Du, Zhuoxiao Meng, Anibal Siguenza-Torres, Alois Knoll, Adriano Pimpini, Andrea Piccione, Stefano Bortoli, Alessandro Pellegrini:
Autonomic Orchestration of in-Situ and in-Transit Data Analytics For Simulation Studies. WSC 2023: 781-792 - Adriano Torres, Sebastian Baltes, Christoph Treude, Markus Wagner:
Applying information theory to software evolution. CoRR abs/2303.13729 (2023) - 2022
- Joaquín Torres-Sospedra, Elena Simona Lohan, Antonella Molinaro, Adriano J. C. Moreira, Alexandru Rusu-Casandra, Zdenek Smékal:
Applications and Innovations on Sensor-Enabled Wearable Devices. Sensors 22(7): 2599 (2022) - Joaquín Torres-Sospedra, Philipp Richter, Adriano J. C. Moreira, Germán M. Mendoza-Silva, Elena Simona Lohan, Sergio Trilles, Miguel Matey-Sanz, Joaquín Huerta:
A Comprehensive and Reproducible Comparison of Clustering and Optimization Rules in Wi-Fi Fingerprinting. IEEE Trans. Mob. Comput. 21(3): 769-782 (2022) - Ivo Silva, Cristiano G. Pendão, Joaquín Torres-Sospedra, Adriano J. C. Moreira:
TrackInFactory: A Tight Coupling Particle Filter for Industrial Vehicle Tracking in Indoor Environments. IEEE Trans. Syst. Man Cybern. Syst. 52(7): 4151-4162 (2022) - Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR 2022: 18973-18990 - Joaquín Torres-Sospedra, Michiel Aernouts, Adriano J. C. Moreira, Rafael Berkvens:
LoRaWAN Fingerprinting with K-Means: the Relevance of Clusters Visual Inspection. ICL-GNSS (Work in Progress) 2022 - Moisés Ramires, Joaquín Torres-Sospedra, Adriano J. C. Moreira:
Accurate and Efficient Wi-Fi Fingerprinting-Based Indoor Positioning in Large Areas. VTC Fall 2022: 1-6 - 2021
- Germán Martín Mendoza-Silva, Joaquín Torres-Sospedra, Francesco Potortì, Adriano J. C. Moreira, Stefan Knauth, Rafael Berkvens, Joaquín Huerta:
Beyond Euclidean Distance for Error Measurement in Pedestrian Indoor Location. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - Cristiano G. Pendão, Ivo Silva, Adriano J. C. Moreira, Joaquín Torres-Sospedra:
Dioptra - A Data Generation Application for Indoor Positioning Systems. IPIN 2021: 1-8 - Ivo Silva, Cristiano G. Pendão, Joaquín Torres-Sospedra, Adriano J. C. Moreira:
Quantifying the Degradation of Radio Maps in Wi-Fi Fingerprinting. IPIN 2021: 1-8 - Joaquín Torres-Sospedra, Ivo Silva, Lucie Klus, Darwin Quezada-Gaibor, Antonino Crivello, Paolo Barsocchi, Cristiano G. Pendão, Elena Simona Lohan, Jari Nurmi, Adriano J. C. Moreira:
Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets. IPIN 2021: 1-8 - Clara Berenguer, Adriano Borges, Sávio Freire, Nicolli Rios, Nebojsa Tausan, Robert Ramac, Boris Pérez, Camilo Castellanos, Darío Correal, Alexia Pacheco, Gustavo López, Davide Falessi, Carolyn Seaman, Vladimir Mandic, Clemente Izurieta, Rodrigo O. Spínola:
Technical Debt is not Only about Code and We Need to be Aware about It. SBQS 2021: 14 - Joaquín Torres-Sospedra, Fernando J. Aranda, Fernando J. Álvarez, Darwin Quezada-Gaibor, Ivo Silva, Cristiano G. Pendão, Adriano J. C. Moreira:
Ensembling Multiple Radio Maps with Dynamic Noise in Fingerprint-based Indoor Positioning. VTC Spring 2021: 1-5 - Joaquín Torres-Sospedra, Ivo Silva, Lucie Klus, Darwin Quezada-Gaibor, Antonino Crivello, Paolo Barsocchi, Cristiano G. Pendão, Elena Simona Lohan, Jari Nurmi, Adriano J. C. Moreira:
Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets. CoRR abs/2109.09436 (2021) - Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR abs/2110.07058 (2021) - 2020
- Francesco Potorti, Sangjoon Park, Antonino Crivello, Filippo Palumbo, Michele Girolami, Paolo Barsocchi, Soyeon Lee, Joaquín Torres-Sospedra, Antonio Ramón Jiménez Ruiz, Antoni Pérez-Navarro, Germán Martín Mendoza-Silva, Fernando Seco, Miguel Ortiz, Johan Perul, Valérie Renaudin, Hyunwoong Kang, Soyoung Park, Jae Hong Lee, Chan Gook Park, Jisu Ha, Jaeseung Han, Changjun Park, Keunhye Kim, Yonghyun Lee, Seunghun Gye, Keumryeol Lee, Eun-Jee Kim, Jeongsik Choi, Yang-Seok Choi, Shilpa Talwar, Seong Yun Cho, Boaz Ben-Moshe, Alex Scherbakov, Leonid Antsfeld, Emilio Sansano-Sansano, Boris Chidlovskii, Nikolai Kronenwett, Silvia Prophet, Yael Landay, Revital Marbel, Lingxiang Zheng, Ao Peng, Zhichao Lin, Bang Wu, Chengqi Ma, Stefan Poslad, David R. Selviah, Wei Wu, Zixiang Ma, Wenchao Zhang, Dongyan Wei, Hong Yuan, Jun-Bang Jiang, Shao-Yung Huang, Jing-Wen Liu, Kuan-Wu Su, Jenq-Shiou Leu, Kazuki Nishiguchi, Walid Bousselham, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, Rin-Ichiro Taniguchi, Vicente Cortés Puschel, Tomás Lungenstrass Poulsen, Imran Ashraf, Chanseok Lee, Muhammad Usman Ali, Yeongjun Im, Gunzung Kim, Jeongsook Eom, Soojung Hur, Yongwan Park, Miroslav Opiela, Adriano J. C. Moreira, Maria João Nicolau, Cristiano G. Pendão, Ivo Silva, Filipe Meneses, António Costa, Jens Trogh, David Plets, Ying-Ren Chien, Tzu-Yu Chang, Shih-Hau Fang, Yu Tsao:
The IPIN 2019 Indoor Localisation Competition - Description and Results. IEEE Access 8: 206674-206718 (2020) - Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
KutralNet: A Portable Deep Learning Model for Fire Recognition. IJCNN 2020: 1-8 - Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
KutralNet: A Portable Deep Learning Model for Fire Recognition. CoRR abs/2008.06866 (2020)
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