Institution · Vicomtech
Most cited papers from Vicomtech
What are the most cited papers from Vicomtech?
The most cited paper from Vicomtech is "Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet" (Jorge Posada, Carlos Toro, Íñigo Barandiarán et al., 2015), with 623 citations. Next come "Deep reinforcement learning for dynamic scheduling of a flexible job shop" (306) and "Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture" (288).
Showing 50 of 60 papers. Every paper with more than 46 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet Jorge Posada, Carlos Toro, Íñigo Barandiarán et al. · IEEE Computer Graphics and Applications | Mar 2015 | 623 |
| 2 | Deep reinforcement learning for dynamic scheduling of a flexible job shop Renke Liu, Rajesh Piplani, Carlos Toro · International Journal of Production Research | 11 Apr 2022 | 306 |
| 3 | Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture María Teresa Linaza, Jorge Posada, Jürgen Bund et al. · Agronomy | 17 Jun 2021 | 288 |
| 4 | Synthetic data generation for tabular health records: A systematic review Mikel Hernandez, Gorka Epelde, Ane Alberdi et al. · Neurocomputing | 13 Apr 2022 | 284 |
| 5 | Sentiment Analysis on Social Media Federico Neri, Carlo Aliprandi, Federico Capeci et al. | Aug 2012 | 233 |
| 6 | Predictive models for hospital readmission risk: A systematic review of methods Arkaitz Artetxe, Andoni Beristain, Manuel Graña · Computer Methods and Programs in Biomedicine | 28 Jun 2018 | 208 |
| 7 | Virtual Engineering Object / Virtual Engineering Process: A specialized form of Cyber Physical System for Industrie 4.0 Syed Imran Shafiq, Cesar Sanín, Edward Szczerbicki et al. · Procedia Computer Science | 2015 | 183 |
| 8 | Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing Debbie Rankin, Michaela M. Black, Raymond B Bond et al. · JMIR Medical Informatics | 4 Jun 2020 | 174 |
| 9 | Virtual Engineering Object (VEO): Toward Experience-Based Design and Manufacturing for Industry 4.0 Syed Imran Shafiq, Cesar Sanín, Carlos Toro et al. · Cybernetics & Systems | 17 Feb 2015 | 160 |
| 10 | Adaptive Multicue Background Subtraction for Robust Vehicle Counting and Classification Luis Unzueta, Marcos Nieto, Andoni Cortés et al. · IEEE Transactions on Intelligent Transportation Systems | 30 Nov 2011 | 154 |
| 11 | Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks Karen López‐Linares, Nerea Aranjuelo, Luis Kabongo et al. · Medical Image Analysis | 27 Mar 2018 | 153 |
| 12 | Sustainable and flexible industrial human machine interfaces to support adaptable applications in the Industry 4.0 paradigm Aitor Ardanza, Aitor Moreno, Álvaro Segura et al. · International Journal of Production Research | 6 Feb 2019 | 138 |
| 13 | A new tool for touch-free patient registration for robot-assisted intracranial surgery: application accuracy from a phantom study and a retrospective surgical series Francesco Cardinale, Michele Rizzi, Piergiorgio d’Orio et al. · Neurosurgical FOCUS | May 2017 | 122 |
| 14 | DMD: A Large-Scale Multi-modal Driver Monitoring Dataset for Attention and Alertness Analysis Juan Diego Ortega, Neslihan Kose, Paola Cañas et al. · Lecture notes in computer science | 2020 | 118 |
| 15 | Data Science Methodologies: Current Challenges and Future Approaches Iñigo Martı́nez, Elisabeth Viles, Igor Garcia Olaizola · Big Data Research | 10 Jan 2021 | 117 |
| 16 | Visual computing technologies to support the Operator 4.0 Álvaro Segura, Helen V. Diez, Íñigo Barandiarán et al. · Computers & Industrial Engineering | 28 Nov 2018 | 117 |
| 17 | Integrating public transportation in personalised electronic tourist guides Ander García, Pieter Vansteenwegen, Olatz Arbelaitz et al. · Computers & Operations Research | 18 Apr 2011 | 115 |
| 18 | Online Student Authentication and Proctoring System Based on Multimodal Biometrics Technology Mikel Labayen, Ricardo Vea, J. Flórez et al. · IEEE Access | 2021 | 113 |
| 19 | Virtual Engineering Factory: Creating Experience Base for Industry 4.0 Syed Imran Shafiq, Cesar Sanín, Edward Szczerbicki et al. · Cybernetics & Systems | 2 Jan 2016 | 113 |
| 20 | A deep multi-agent reinforcement learning approach to solve dynamic job shop scheduling problem Renke Liu, Rajesh Piplani, Carlos Toro · Computers & Operations Research | 2 Jun 2023 | 108 |
| 21 | Interactive visualization of volumetric data with WebGL in real-time John Congote, Álvaro Segura, Luis Kabongo et al. | 20 Jun 2011 | 106 |
| 22 | A Perspective on Knowledge Based and Intelligent Systems Implementation in Industrie 4.0 Carlos Toro, Íñigo Barandiarán, Jorge Posada · Procedia Computer Science | 2015 | 101 |
| 23 | COVID-19 Detection in Chest X-ray Images using a Deep Learning Approach. Fátima A. Saiz, Íñigo Barandiarán · International Journal of Interactive Multimedia and Artificial Intelligence | 3 May 2020 | 99 |
| 24 | Network Resource Allocation System for QoE-Aware Delivery of Media Services in 5G Networks Ángel Martín, Jon Egana, J. Flórez et al. · IEEE Transactions on Broadcasting | 4 May 2018 | 98 |
| 25 | Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules Urtzi Otamendi, Iñigo Martı́nez, Marco Quartulli et al. · Solar Energy | 21 Apr 2021 | 90 |
| 26 | A Novel Machine Learning-Based Methodology for Tool Wear Prediction Using Acoustic Emission Signals Juan Luís Ferrando, Telmo Fernández De Barrena, Ander García et al. · Sensors | 6 Sep 2021 | 88 |
| 27 | What drives the helpfulness of online reviews? A deep learning study of sentiment analysis, pictorial content and reviewer expertise for mature destinations Enrique Bigne, Carla Ruíz Mafé, Antonio Carlos Cuenca Ballester et al. · Journal of Destination Marketing & Management | 7 Mar 2021 | 87 |
| 28 | The Vicomtech Audio Deepfake Detection System Based on Wav2vec2 for the 2022 ADD Challenge Juan M. Martín-Doñas, Aitor Álvarez · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | 27 Apr 2022 | 86 |
| 29 | Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network Andrik Rampun, Karen López‐Linares, Philip Morrow et al. · Medical Image Analysis | 20 Jun 2019 | 86 |
| 30 | Embracing the threat: machine translation as a solution for subtitling Lindsay Bywood, Panayota Georgakopoulou, Thierry Etchegoyhen · Perspectives | 27 Mar 2017 | 86 |
| 31 | Real-Time People Counting Using Multiple Lines Javier Barandiarán, Berta Murguia, Fernando Boto | 2008 | 86 |
| 32 | Gamified mobile experiences: smart technologies for tourism destinations Ander García, María Teresa Linaza, Aitor Gutierrez et al. · Tourism Review | 18 Sep 2018 | 85 |
| 33 | Synthetic Tabular Data Evaluation in the Health Domain Covering Resemblance, Utility, and Privacy Dimensions Mikel Hernadez, Gorka Epelde, Ane Alberdi et al. · Methods of Information in Medicine | 9 Jan 2023 | 77 |
| 34 | A Method for Detecting Coffee Leaf Rust through Wireless Sensor Networks, Remote Sensing, and Deep Learning: Case Study of the Caturra Variety in Colombia David Velásquez, Alejandro Sánchez, Sebastián Sarmiento et al. · Applied Sciences | 19 Jan 2020 | 74 |
| 35 | Video analysis-based vehicle detection and tracking using an MCMC sampling framework Jon Arróspide, Luís Salgado, Marcos Nieto · EURASIP Journal on Advances in Signal Processing | 6 Jan 2012 | 72 |
| 36 | Network traffic analysis through node behaviour classification: a graph-based approach with temporal dissection and data-level preprocessing Francesco Zola, Lander Segurola-Gil, Jan L. Bruse et al. · Computers & Security | 29 Jan 2022 | 69 |
| 37 | Communities of practice: a model for their cultivation Edurne Loyarte, Olga Rivera · Journal of Knowledge Management | 5 Jun 2007 | 69 |
| 38 | A Hybrid Machine-Learning Ensemble for Anomaly Detection in Real-Time Industry 4.0 Systems David Velásquez, Enrique Pérez, Xabier Oregui et al. · IEEE Access | 2022 | 67 |
| 39 | Pervasive Augmented Reality Games to Experience Tourism Destinations María Teresa Linaza, Aitor Gutierrez, Ander García | 2013 | 67 |
| 40 | Efficient Recreation of t(11;22) EWSR1-FLI1+ in Human Stem Cells Using CRISPR/Cas9 Raúl Torres-Ruiz, Marta Martínez-Lage, Maria Carmen Martín et al. · Stem Cell Reports | May 2017 | 63 |
| 41 | Evaluation of Mobile Augmented Reality Applications for Tourism Destinations María Teresa Linaza, David Marimón, Paula Carrasco et al. | 2012 | 63 |
| 42 | Personalized Tourist Route Generation Ander García, Olatz Arbelaitz, María Teresa Linaza et al. · Lecture notes in computer science | 2010 | 63 |
| 43 | Elderly Users in Ambient Intelligence: Does an Avatar Improve the Interaction? Amalia Ortiz, María del Puy Carretero, David Oyarzun et al. · Lecture notes in computer science | 2007 | 62 |
| 44 | A review of EO image information mining Marco Quartulli, Igor Garcia Olaizola · ISPRS Journal of Photogrammetry and Remote Sensing | 13 Nov 2012 | 61 |
| 45 | Decisional DNA: A multi-technology shareable knowledge structure for decisional experience Cesar Sanín, Carlos Toro, Haoxi Zhang et al. · Neurocomputing | 27 Jan 2012 | 61 |
| 46 | Methodology for Carbon Footprint Calculation Towards Sustainable Innovation in Intangible Assets Edurne Loyarte, Mario Barral, Juan Carlos Morla · Sustainability | 21 Feb 2020 | 57 |
| 47 | Automatic analysis of textual hotel reviews Aitor García Pablos, Montse Cuadros, María Teresa Linaza · Information Technology & Tourism | 22 Dec 2015 | 57 |
| 48 | Q-WordNet: Extracting Polarity from WordNet Senses Rodrigo Agerri, Ana M. García-Serrano | May 2010 | 57 |
| 49 | Boosting Masked Face Recognition with Multi-Task ArcFace David Montero, Marcos Nieto, Peter Leškovský et al. | Oct 2022 | 55 |
| 50 | Cross reality to enhance worker cognition in industrial assembly operations Bruno Costa Simões, Raffaele De Amicis, Íñigo Barandiarán et al. · The International Journal of Advanced Manufacturing Technology | 21 Jun 2019 | 55 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.