Publications

Year:  

[1] Rui Figueiredo, Atabak Dehban, Plinio Moreno, Alexandre Bernardino, José Santos-Victor, Helder Araujo, A robust and efficient framework for fast cylinder detection, Accepted in Robotics and Autonomous Systems, Vol. 117, pp. 17, 2019 - PDF
[2] Joel Reis, Pedro Batista, Paulo Oliveira, Carlos Silvestre, Calibration of High-Grade Inertial Measurement Units using a Rate Table, IEEE Sensors Letters, Vol. 3, No. 4, 2019
[3] Pedro Batista, Carlos Silvestre, Paulo Oliveira, Attitude Observer on the Special Orthogonal Group with Earth Velocity Estimation, Systems & Control Letters, Vol. 126, pp. 33-39, 2019
[4] Jayakorn Vongkulbhisal, Fernando De la Torre, João Paulo Costeira, Discriminative Optimization: Theory and Applications to Computer Vision, IEEE transactions on pattern analysis and machine intelligence, Vol 41, Issue 4, pp 829-843, 2019
[5] Pedro Batista, Carlos Silvestre, Paulo Oliveira, Globally Exponentially Stable Attitude Observer with Earth Velocity Estimation, Asian Journal of Control (in press), 2019
[6] Pedro Lourenço, Pedro Batista, Paulo Oliveira, Carlos Silvestre, Strategies for uncertainty optimization through motion planning in GES sensor-based SLAM, Robotics and Autonomous Systems, vol. 113, pp. 38-55, 2019
[7] André Mateus, David Ribeiro, Pedro Miraldo, Jacinto Nascimento, Efficient and robust Pedestrian Detection using Deep Learning for Human-Aware Navigation, Robotics and Autonomous Systems, Vol. 113, pp 23-37, 2019
[8] Rodolfo Abreu, Alberto Leal, Patrícia Figueiredo, Identification of epileptic brain states by dynamic functional connectivity analysis of simultaneous EEG-fMRI, Scientific Reports Vol. 24, No. 9(1), Article 638 , 2019
[9] Giovanni Saponaro, Lorenzo Jamone, Alexandre Bernardino, Giampiero Salvi, Beyond the Self: Using Grounded Affordances to Interpret and Describe Others’ Actions, IEEE Transactions on Cognitive and Developmental Systems (TCDS), 2019
[10] Mainak Biswas, Venkatanareshbabu Kuppili, Luca Saba, Damodar Edla, Harman S. Suri, Elisa Cuadrado-Godia, John R. Laird, Rui Marinhoe, João Sanches, Andrew Nicolaides, Jasjit S. Suri, State-of-the-art review on deep learning in medical imaging, Frontiers in Bioscience, Vol. 24 pp. 392-426, 2019
[1] Maria Fernandes, João Sanches, Raquel Seruca, Targeting the PI3K Signalling as a Therapeutic Strategy in Colorectal Cancer, Targeted Therapy of Colorectal Cancer Subtypes. Advances in Experimental Medicine and Biology. vol 1110. Springer, Cham., 2019
[2] Pedro Cardoso, Jânio Monteiro, Nelson Pinto, Dario Cruz, João Rodrigues, Application of Machine Learning Algorithms to the IoE: A Survey, In Harnessing the Internet of Everything (IoE) for Accelerated Innovation Opportunities, pp. 31-56, IGI Global, 2019
[1] Tiago Veiga, Miguel Silva, Rodrigo Ventura, Pedro Lima, An Hierarchical Approach to Active Semantic Mapping Using Probabilistic Logic and Information Reward POMDP, Accepted in Proc. of ICAPS 2019 - 29th International Conference on Automated Planning and Scheduling, Berkeley, USA, 2019
[2] Gonçalo Pais, Jacinto Nascimento, Pedro Miraldo, OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras, Proc. of IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, 2019
[3] Carlos Azevedo, Pedro Lima, A GSPN Software Framework to Model and Analyze Robot Tasks, Proc. of 19th IEEE Int. Conf. on Autonomous Robot Systems and Competitions (ICARSC 2019), 2019
[4] Emilia Brzozowska, Oscar Lima, Rodrigo Ventura, A generic optimization based cartesian controller for robotic mobile manipulation, Proc. of IEEE International Conference on Robotics and Automation (ICRA-19), Montreal, Canada, 2019
[5] João Campos, J. Cardoso, POSEAMM: A Unified Framework for Solving Pose Problems using an Alternating Minimization Method, Proc. IEEE International Conf. Robotics and Automation (ICRA), 2019, 2019
[6] João Gonçalves, Pedro Lima, Grasp Planning with Incomplete Knowledge About the Object to be Grasped, Proc. of 19th IEEE Int. Conf. on Autonomous Robot Systems and Competitions (ICARSC 2019), 2019
[7] Min Lee, Alexandre Bernardino, Sergi i Badia, Learning to Assess the Quality of Stroke Rehabilitation Exercises, Proc. International Conference on Intelligent User Interfaces (IUI ’19). Marina del Rey, CA, USA, 2019 - PDF
[8] Sebastião Miranda, David Nogueira, Afonso Mendes, Andreas Vlachos, Andrew Secker, Rebecca Garret, Jeff Mitchel, Zita Marinho, Automated Fact-Checking in the News Room, The Web Conference, San Francisco, USA, 2019
[9] Catarina Barata, Jacinto Nascimento, Jorge S. Marques, Multiple Agents Representation Using Motion Fields, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Brighton, UK, 2019 - PDF
[10] Daniela Medley, Carlos Santiago, Jacinto Nascimento, Segmenting the left ventricle in cardiac MRI: from handcrafted to deep region based descriptors, IEEE International Symposium on Biomedical Imaging (ISBI). Venice, Italy, 2019 - PDF
[11] Catarina Barata, Jorge S. Marques, Deep Learning for Skin Cancer Diagnosis with Hierarchical Architectures, IEEE International Symposium on Biomedical Imaging (ISBI). Venice, Italy, 2019 - PDF
[12] João Pereira, Margarida Silveira, Learning Representations from Healthcare Time Series Data for Unsupervised Anomaly Detection, Proc. of BDSC 2019 - 6th IEEE International Conference on Big Data and Smart Computing, Kyoto, Japan, 2019
[13] Leandro Dihl, Leandro Cruz, Nuno Barroso Monteiro, Nuno Goncalves, A Content-aware Filtering for RGBD Faces, International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP). Prague, Czech Republic, 2019 - PDF
[14] André Mateus, O. Tahri, Pedro Miraldo, Active Estimation of 3D Lines in Spherical Coordinates, Proc. of American Control Conference, USA, 2019
[1] Pedro Guerreiro, Distributed Algorithms for Collaborative Learning, Ph.D. Thesis, Instituto Superior Técnico, Universidade de Lisboa, February, 2019
[2] Pedro Lourenço, Globally Convergent Simultaneous Localization and Mapping: Design Techniques, Analysis, and Implementation, Ph.D. Thesis, Instituto Superior Técnico, Universidade de Lisboa, January, 2019
[1] João Avelino, Ricardo Ribeiro, Hugo Simão, Plinio Moreno, Rui Figueiredo, Nuno Duarte, Ricardo Nunes, Alexandre Bernardino, Martina Čaić, Dominik Mahr, Gaby Odekerken-Schröder, Experiments with Vizzy as a Coach for Elderly Exercise, Personal Robots for Exercising and Coaching (PREC) workshop at ACM/IEEE International Conference on Human-Robot Interaction (HRI 2018). Chicago, USA, 2019