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ORCIDDavid Martín 0001
David Martín Gómez
Person information
- affiliation: Universidad Carlos III de Madrid, Spain
- affiliation (PhD 2008): National University of Distance Education, Spain
Other persons with the same name
- David Martín — disambiguation page
- David Martín 0002 — CICtourGUNE, San Sebastián, Spain
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2020 – today
- 2025
[j35]Giulia Slavic
, Pamela Zontone, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Vehicle localization in an explainable dynamic Bayesian network framework for self-aware agents. Inf. Fusion 122: 103136 (2025)- 2024
- [j34]Sheida Nozari, Ali Krayani, Pablo Marin, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Modeling Autonomous Vehicle Responses to Novel Observations Using Hierarchical Cognitive Representations Inspired Active Inference. Comput. 13(7): 161 (2024) - [j33]Sheida Nozari, Ali Krayani, Pablo Marin, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Exploring action-oriented models via active inference for autonomous vehicles. EURASIP J. Adv. Signal Process. 2024(1): 92 (2024) - [j32]Zhuoyao He, David Martín Gómez, Pablo Flores Peña, Arturo de la Escalera Hueso, Xingcai Lu, José María Armingol Moreno:
Battery parameter identification for unmanned aerial vehicles with hybrid power system. Integr. Comput. Aided Eng. 31(4): 341-362 (2024) - [c47]Raul Fernandez-Matellan, David Puertas-Ramirez, David Martín Gómez, Jesus Boticario:
Comparison of Physiological Data Acquisition for Modeling of Drivers in Autonomous Vehicles. EUROCAST (1) 2024: 327-341 - [c46]Abrham Shiferaw Alemaw, Pamela Zontone, Lucio Marcenaro, Pablo Marin, David Martín Gómez, Carlo S. Regazzoni:
Integrated Learning and Decision Making for Autonomous Agents through Energy based Bayesian Models. FUSION 2024: 1-8 - [c45]Raul Fernandez-Matellan, David Puertas-Ramirez, David Martín Gómez, Jesus Boticario:
Fusion of Physiological Signals for Modeling Driver Awareness Levels in Conditional Autonomous Vehicles using Semi-Supervised Learning. FUSION 2024: 1-8 - [c44]Saleemullah Memon, Ali Krayani, Pamela Zontone, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Learning 3D LiDAR Perception Models for Self-Aware Autonomous Systems. FUSION 2024: 1-8 - [c43]Giulia Slavic, Mattia Bracco, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni, Pamela Zontone:
Joint Data-Driven Analysis of Visual-Odometric Anomaly Signals in Generative Ai-Based Agents. ICASSP Workshops 2024: 264-268 - [c42]Muhammad Adnan, Pamela Zontone, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Classifying Static and Dynamic Tracks for LiDAR-Based Navigation of Autonomous Vehicle Systems. ICFSP 2024: 111-117 - [c41]Muhammad Farhan Humayun, Pamela Zontone, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Incremental Learning Through Fusion of Discrete Anomaly Models from Odometry Signals in Autonomous Agent Navigation. SiPS 2024: 83-88 - 2023
- [j31]Jesús Urdiales, David Martín, José María Armingol:
An improved deep learning architecture for multi-object tracking systems. Integr. Comput. Aided Eng. 30(2): 121-134 (2023) - [j30]Muhammad Adnan, Giulia Slavic, David Martín Gómez, Lucio Marcenaro, Carlo S. Regazzoni:
Systematic and Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications. Sensors 23(13): 6119 (2023) - [j29]Zhuoyao He, David Martín Gómez, Arturo de la Escalera Hueso, Pablo Flores Peña, Xingcai Lu, José María Armingol Moreno:
Battery-SOC Estimation for Hybrid-Power UAVs Using Fast-OCV Curve with Unscented Kalman Filters. Sensors 23(14): 6429 (2023) - [j28]Giulia Slavic, Abrham Shiferaw Alemaw, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
A Kalman Variational Autoencoder Model Assisted by Odometric Clustering for Video Frame Prediction and Anomaly Detection. IEEE Trans. Image Process. 32: 415-429 (2023) - [c40]Sheida Nozari, Ali Krayani, Pablo Marin, Lucio Marcenaro, David Martín, Carlo S. Regazzoni:
Adapting Exploratory Behaviour in Active Inference for Autonomous Driving. ICASSP 2023: 1-5 - 2022
- [j27]Sheida Nozari, Ali Krayani, Pablo Marín-Plaza, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Active Inference Integrated With Imitation Learning for Autonomous Driving. IEEE Access 10: 49738-49756 (2022) - [j26]Divya Thekke Kanapram, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Graph-Powered Interpretable Machine Learning Models for Abnormality Detection in Ego-Things Network. Sensors 22(6): 2260 (2022) - [j25]Pablo Flores Peña, Marco Andrés Luna, Mohammad Sadeq Ale Isaac, Ahmed Refaat Ragab, Khaled Elmenshawy, David Martín Gómez, Pascual Campoy, Martin Molina:
A Proposed System for Multi-UAVs in Remote Sensing Operations. Sensors 22(23): 9180 (2022) - [j24]Hafsa Iqbal, Damian Campo, Pablo Marín-Plaza, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Modeling Perception in Autonomous Vehicles via 3D Convolutional Representations on LiDAR. IEEE Trans. Intell. Transp. Syst. 23(9): 14608-14619 (2022) - [c39]Abrham Shiferaw Alemaw, Giulia Slavic, Hafsa Iqbal, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
A Data-Driven Approach for the Localization of Interacting Agents via a Multi-Modal Dynamic Bayesian Network Framework. AVSS 2022: 1-8 - [c38]Giulia Slavic, Pablo Marín-Plaza, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Simultaneous Localization and Anomaly Detection from First-Person Video Data through a Coupled Dynamic Bayesian Network Model. AVSS 2022: 1-8 - [c37]Jesús Urdiales, David Martín, Jose M. Armingol:
Deep Learning Data Association Applied to Multi-object Tracking Systems. EUROCAST 2022: 354-361 - [c36]Sheida Nozari, Ali Krayani, Lucio Marcenaro, David Martín, Carlo S. Regazzoni:
Incremental Learning through Probabilistic Behavior Prediction. EUSIPCO 2022: 1502-1506 - [c35]Sheida Nozari, Ali Krayani, Pablo Marin, Lucio Marcenaro, David Martín, Carlo S. Regazzoni:
Autonomous Driving Based on Imitation and Active Inference. SYSINT 2022: 13-22 - 2021
- [j23]Ángel Madridano, Abdulla Al-Kaff, David Martín, Arturo de la Escalera:
Trajectory planning for multi-robot systems: Methods and applications. Expert Syst. Appl. 173: 114660 (2021) - [j22]Divya Thekke Kanapram, Mario Marchese, Eliane L. Bodanese, David Martín Gómez, Lucio Marcenaro, Carlo S. Regazzoni:
Dynamic Bayesian Collective Awareness Models for a Network of Ego-Things. IEEE Internet Things J. 8(5): 3224-3241 (2021) - [j21]Hafsa Iqbal, Damian Campo, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Data-driven transition matrix estimation in probabilistic learning models for autonomous driving. Signal Process. 188: 108170 (2021) - [j20]Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Learning Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models. IEEE Trans. Intell. Transp. Syst. 22(6): 3372-3386 (2021) - [c34]Hafsa Iqbal, Abdulla Al-Kaff, Pablo Marin, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Detection of Abnormal Motion by Estimating Scene Flows of Point Clouds for Autonomous Driving. ITSC 2021: 2788-2793 - [c33]David Puertas-Ramirez, Ana Serrano Mamolar, David Martín Gómez, Jesús González-Boticario:
Should Conditional Self-Driving Cars Consider the State of the Human Inside the Vehicle? UMAP (Adjunct Publication) 2021: 137-141 - 2020
- [j19]Divya Kanapram, Fabio Patrone, Pablo Marín-Plaza, Mario Marchese, Eliane L. Bodanese, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles. IEEE Internet Things J. 7(5): 3774-3789 (2020) - [j18]Divya Thekke Kanapram, Pablo Marín-Plaza, Lucio Marcenaro, David Martín Gómez, Arturo de la Escalera, Carlo S. Regazzoni:
Self-awareness in intelligent vehicles: Feature based dynamic Bayesian models for abnormality detection. Robotics Auton. Syst. 134: 103652 (2020) - [j17]Ángel Madridano, Abdulla Al-Kaff, David Martín, Arturo de la Escalera:
3D Trajectory Planning Method for UAVs Swarm in Building Emergencies. Sensors 20(3): 642 (2020) - [j16]Damian Campo, David Martín, Lucio Marcenaro:
Unsupervised Anomaly Detection Using Intelligent and Heterogeneous Autonomous Systems: Highlights From the 2020 IEEE Signal Processing Cup Student Competition [SP Competitions]. IEEE Signal Process. Mag. 37(5): 152-157 (2020) - [j15]Damian Campo, Mohamad Baydoun, Pablo Marin, David Martín, Lucio Marcenaro, Arturo de la Escalera, Carlo S. Regazzoni:
Learning Probabilistic Awareness Models for Detecting Abnormalities in Vehicle Motions. IEEE Trans. Intell. Transp. Syst. 21(3): 1308-1320 (2020) - [c32]Giulia Slavic, Damian Campo, Mohamad Baydoun, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models. EAIS 2020: 1-8 - [c31]Hafsa Iqbal, Damian Campo, Giulia Slavic, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Optimization of Probabilistic Switching Models Based on a Two-Step Clustering Approach. SiPS 2020: 1-6 - [i8]Giulia Slavic, Damian Campo, Mohamad Baydoun, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models. CoRR abs/2003.07623 (2020) - [i7]Divya Thekke Kanapram, Fabio Patrone, Pablo Marín-Plaza, Mario Marchese, Eliane L. Bodanese, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles. CoRR abs/2010.14908 (2020) - [i6]Divya Kanapram, Pablo Marín-Plaza, Lucio Marcenaro, David Martín, Arturo de la Escalera, Carlo S. Regazzoni:
Self-awareness in Intelligent Vehicles: Experience Based Abnormality Detection. CoRR abs/2010.15056 (2020) - [i5]Divya Thekke Kanapram, Pablo Marín-Plaza, Lucio Marcenaro, David Martín, Arturo de la Escalera, Carlo S. Regazzoni:
Self-awareness in intelligent vehicles: Feature based dynamic Bayesian models for abnormality detection. CoRR abs/2010.15441 (2020)
2010 – 2019
- 2019
- [j14]Carlos Guindel, David Martín, José María Armingol:
Traffic scene awareness for intelligent vehicles using ConvNets and stereo vision. Robotics Auton. Syst. 112: 109-122 (2019) - [j13]Pablo Marín-Plaza, Ahmed Hussein, David Martín, Arturo de la Escalera:
iCab Use Case for ROS-based Architecture. Robotics Auton. Syst. 118: 251-262 (2019) - [c30]Raúl Sosa San Frutos, Abdulla Al-Kaff, Ahmed Hussein, Ángel Madridano, David Martín, Arturo de la Escalera:
ROS-Based Architecture for Multiple Unmanned Vehicles (UXVs) Formation. EUROCAST (1) 2019: 11-19 - [c29]Mustafa Ismail, Ahmed Tarek, Pablo Marín-Plaza, David Martín Gómez, José María Armingol, Mohamed Abdelaziz:
Advanced Mapping and Localization for Autonomous Vehicles using OSM. ICVES 2019: 1-6 - [c28]Ángel Madridano, Abdulla Al-Kaff, David Martín Gómez, Arturo de la Escalera:
Multi-Path Planning Method for UAVs Swarm Purposes. ICVES 2019: 1-6 - [c27]Divya Kanapram, Pablo Marín-Plaza, Lucio Marcenaro, David Martín, Arturo de la Escalera, Carlo S. Regazzoni:
Self-awareness in Intelligent Vehicles: Experience Based Abnormality Detection. ROBOT (1) 2019: 216-228 - 2018
- [j12]Abdulla Al-Kaff, David Martín, Fernando García, Arturo de la Escalera, José María Armingol:
Survey of computer vision algorithms and applications for unmanned aerial vehicles. Expert Syst. Appl. 92: 447-463 (2018) - [j11]Carlos Guindel, David Martín, José María Armingol:
Fast Joint Object Detection and Viewpoint Estimation for Traffic Scene Understanding. IEEE Intell. Transp. Syst. Mag. 10(4): 74-86 (2018) - [c26]Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving. FUSION 2018: 1866-1873 - [c25]Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni:
a Multi-Perspective Approach to Anomaly Detection for Self -Aware Embodied Agents. ICASSP 2018: 6598-6602 - [c24]Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Hierarchy of Gans for Learning Embodied Self-Awareness Model. ICIP 2018: 1987-1991 - [c23]Bahae Abidi, Francisco Miguel Moreno, Mohamed El Haziti, Ahmed Hussein, Abdulla Al-Kaff, David Martín Gómez:
Hybrid V2X Communication Approach using WiFi and 4G Connections. ICVES 2018: 1-5 - [c22]Carlos Guindel, David Martín, José María Armingol, Christoph Stiller:
Analysis of the Influence of Training Data on Road User Detection. ICVES 2018: 1-6 - [i4]Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni:
A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents. CoRR abs/1803.06579 (2018) - [i3]Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving. CoRR abs/1806.02609 (2018) - [i2]Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Hierarchy of GANs for learning embodied self-awareness model. CoRR abs/1806.04012 (2018) - 2017
- [j10]Fernando García, David Martín, Arturo de la Escalera, José María Armingol Moreno:
Sensor Fusion Methodology for Vehicle Detection. IEEE Intell. Transp. Syst. Mag. 9(1): 123-133 (2017) - [j9]Abdulla Al-Kaff, Fernando García, David Martín, Arturo de la Escalera, José María Armingol:
Obstacle Detection and Avoidance System Based on Monocular Camera and Size Expansion Algorithm for UAVs. Sensors 17(5): 1061 (2017) - [c21]Juan Sebastian Olier, Pablo Marín-Plaza, David Martín, Lucio Marcenaro, Emilia I. Barakova, Matthias Rauterberg, Carlo S. Regazzoni:
Dynamic representations for autonomous driving. AVSS 2017: 1-6 - [c20]Carlos Guindel, David Martín, José María Armingol:
Stereo Vision-Based Convolutional Networks for Object Detection in Driving Environments. EUROCAST (2) 2017: 427-434 - [c19]Carlos Guindel, David Martín, José María Armingol:
Joint object detection and viewpoint estimation using CNN features. ICVES 2017: 145-150 - [c18]Carlos Guindel, Jorge Beltrán, David Martín, Fernando García:
Automatic extrinsic calibration for lidar-stereo vehicle sensor setups. ITSC 2017: 1-6 - [c17]Carlos Guindel, David Martín, José María Armingol:
Modeling Traffic Scenes for Intelligent Vehicles Using CNN-Based Detection and Orientation Estimation. ROBOT (2) 2017: 487-498 - [c16]Pablo Marín-Plaza, Ahmed Hussein, David Martín, Arturo de la Escalera:
Complete ROS-based Architecture for Intelligent Vehicles. ROBOT (2) 2017: 499-510 - [c15]Abdulla Al-Kaff, Francisco Miguel Moreno, Luis Javier San José, Fernando García, David Martín, Arturo de la Escalera, Alberto Nieva, José Luis Meana Garcéa:
VBII-UAV: Vision-Based Infrastructure Inspection-UAV. WorldCIST (2) 2017: 221-231 - [i1]Carlos Guindel, Jorge Beltrán, David Martín, Fernando García:
Automatic Extrinsic Calibration for Lidar-Stereo Vehicle Sensor Setups. CoRR abs/1705.04085 (2017) - 2016
- [j8]Arturo de la Escalera, Ebroul Izquierdo, David Martín, Basam Musleh, Fernando García, José María Armingol:
Stereo visual odometry in urban environments based on detecting ground features. Robotics Auton. Syst. 80: 1-10 (2016) - [j7]Basam Musleh, David Martín, José María Armingol, Arturo de la Escalera:
Pose Self-Calibration of Stereo Vision Systems for Autonomous Vehicle Applications. Sensors 16(9): 1492 (2016) - [c14]Fernando García, Jesús Urdiales, Juan Carmona, David Martín, José María Armingol:
Mobile based pedestrian detection with accurate tracking. Intelligent Vehicles Symposium 2016: 44-48 - [c13]Juan Carmona, Miguel Ángel de Miguel, David Martín, Fernando García, Arturo de la Escalera:
Embedded system for driver behavior analysis based on GMM. Intelligent Vehicles Symposium 2016: 61-65 - [c12]Abdulla Al-Kaff, Qinggang Meng, David Martín, Arturo de la Escalera, José María Armingol:
Monocular vision-based obstacle detection/avoidance for unmanned aerial vehicles. Intelligent Vehicles Symposium 2016: 92-97 - [c11]Ahmed Hussein, Pablo Marín-Plaza, David Martín, Arturo de la Escalera, José María Armingol:
Autonomous off-road navigation using stereo-vision and laser-rangefinder fusion for outdoor obstacles detection. Intelligent Vehicles Symposium 2016: 104-109 - [c10]Pablo Marín-Plaza, Jorge Beltrán, Ahmed Hussein, Basam Musleh, David Martín, Arturo de la Escalera, José María Armingol:
Stereo Vision-based Local Occupancy Grid Map for Autonomous Navigation in ROS. VISIGRAPP (3: VISAPP) 2016: 703-708 - [p1]Fernando García, Aurelio Ponz, David Martín, Arturo de la Escalera, José María Armingol:
Data Fusion Enhanced with Context Information for Road Safety Application. Context-Enhanced Information Fusion 2016: 653-674 - 2015
- [j6]María José Gómez-Silva, Fernando García, David Martín, Arturo de la Escalera, José María Armingol:
Intelligent surveillance of indoor environments based on computer vision and 3D point cloud fusion. Expert Syst. Appl. 42(21): 8156-8171 (2015) - [j5]Juan Carmona, Fernando García, David Martín, Arturo de la Escalera, José María Armingol:
Data Fusion for Driver Behaviour Analysis. Sensors 15(10): 25968-25991 (2015) - [c9]Arturo de la Escalera, Ebroul Izquierdo, David Martín, Fernando García, José María Armingol:
Stereo Visual Odometry for Urban Vehicles Using Ground Features. ROBOT (1) 2015: 385-397 - 2014
- [j4]David Martín, Fernando García, Basam Musleh, Daniel Olmeda, Gustavo A. Peláez Coronado, Pablo Marin, Aurelio Ponz, C. Rodríguez, Abdulla Al-Kaff, Arturo de la Escalera, Jose M. Armingol:
IVVI 2.0: An intelligent vehicle based on computational perception. Expert Syst. Appl. 41(17): 7927-7944 (2014) - [c8]C. H. Rodríguez-Garavito, Aurelio Ponz, Fernando García, David Martín, Arturo de la Escalera, Jose M. Armingol:
Automatic laser and camera extrinsic calibration for data fusion using road plane. FUSION 2014: 1-6 - [c7]Basam Musleh, David Martín, José María Armingol, Arturo de la Escalera:
Continuous pose estimation for stereo vision based on UV disparity applied to visual odometry in urban environments. ICRA 2014: 3983-3988 - [c6]Fernando García, Aurelio Ponz, David Martín, Arturo de la Escalera, José María Armingol:
Computer vision and laser scanner road environment perception. IWSSIP 2014: 63-66 - [c5]Basam Musleh, David Martín, José María Armingol, Arturo de la Escalera:
Extrinsic Parameter Self-Calibration and Nonlinear Filtering for in-Vehicle Stereo Vision Systems at Urban Environments. VISAPP (3) 2014: 427-434 - 2012
- [j3]Enrique D. Martí, David Martín, Jesús García, Arturo de la Escalera, José Manuel Molina, José María Armingol:
Context-Aided Sensor Fusion for Enhanced Urban Navigation. Sensors 12(12): 16802-16837 (2012) - [c4]Basam Musleh, David Martín, Arturo de la Escalera, Domingo Miguel Guinea, María C. García-Alegre:
Estimation and Prediction of the Vehicle's Motion Based on Visual Odometry and Kalman Filter. ACIVS 2012: 491-502 - [c3]Basam Musleh, David Martín, Arturo de la Escalera, José María Armingol:
Visual ego motion estimation in urban environments based on U-V disparity. Intelligent Vehicles Symposium 2012: 444-449 - 2011
- [j2]David Martín, Mariano Rincón, María C. García-Alegre, Domingo Guinea:
ARDIS: knowledge-based architecture for visual system configuration in dynamic surface inspection. Expert Syst. J. Knowl. Eng. 28(4): 353-374 (2011) - 2010
- [j1]David Martín, Domingo Miguel Guinea, María C. García-Alegre, E. Villanueva, Domingo Guinea:
Multi-modal defect detection of residual oxide scale on a cold stainless steel strip. Mach. Vis. Appl. 21(5): 653-666 (2010)
2000 – 2009
- 2009
- [c2]David Martín, Domingo Miguel Guinea, María C. García-Alegre, Domingo Guinea:
Mining Linguistic Information for Configuring a Visual Surface Inspection System. IFSA/EUSFLAT Conf. 2009: 1729-1734 - [c1]David Martín, Mariano Rincón, María C. García-Alegre, Domingo Guinea:
ARDIS: Knowledge-Based Dynamic Architecture for Real-Time Surface Visual Inspection. IWINAC (1) 2009: 395-404
Coauthor Index
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