Ana Maria Tomé

Position	Associate professor
Affiliation	DETI / University of Aveiro
Group	Biomedical Informatics and Technologies
Status	Researcher with PhD
Country	Portugal
Students
Former PhD students	A. R. Hidalgo-Muñoz, Hamidreza Kasaei, Daniel Malafaia, João M. O. S. Rodrigues, Ana Rita Teixeira
Former masters students	Show list
Courses	Exploração de Dados
Projects	RETIOT
Past projects	CReATION, Casa Sapo, FCTDAAD, IBERO-NBIC, Identity Verification, NeuroPath, RACE, SOCA - Smart Open Campus, epSOS
Events
Proposals
ORCID	0000-0002-1210-0266
Personal page

Publications

Articles in international journals listed in the ISI

• Simon Wein, Ana Maria Tomé, Markus Goldhacker, Mark W. Greenlee, Elmar W. Lang. A Constrained ICA-EMD Model for Group Level fMRI Analysis. Frontiers in Neuroscience, vol. 14, p. 221, April 2020 [IF 2018: 3.648 (Q2, 92/267)]
• C. Gouveia, Ana Maria Tomé, F. Barros, S. C. Soares, José M. N. Vieira, P. Pinho. Study on the usage feasibility of continuous-wave radar for emotion recognition. Biomedical Signal Processing and Control, vol. 58, April 2020 [IF 2018: 2.943 (Q2, 27/80)]
• S. Al-Baddai, P. Marti-Puig, E. Gallego-Jutglà, K. Al-Subari, Ana Maria Tomé, B. Ludwig, Elmar W. Lang, J. Solé-Casals. A recognition–verification system for noisy faces based on an empirical mode decomposition with Green’s functions. Soft Computing, vol. 24, no. 5, p. 3809-3827, March 2020 [IF 2018: 2.784 (Q2, 53/134)]
• Peter Weiderer, Ana Maria Tomé, Elmar W. Lang. A NMF-based extraction of physically meaningful components from sensory data of metal casting processes. Journal of Manufacturing Systems, vol. 54, p. 62-73, January 2020 [IF 2018: 3.642 (Q1, 9/46)]
• Hamidreza Kasaei, Luís Seabra Lopes, Ana Maria Tomé. Local-LDA: Open-Ended Learning of Latent Topics for 3D Object Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, November 2019 [IF 2018: 17.730 (Q1, 1/266)]
• Ana Rita Teixeira, Isabel Santos, Ana Maria Tomé. Identifying evoked potential response patterns using independent component analysis and unsupervised learning. Biomedical Physics & Engineering Express, vol. 5, no. 1, p. 015019, November 2018
• T. Götz, Ana Maria Tomé, B. Hensel, Elmar W. Lang. MDSLAB: A toolbox for the analysis of point sets using multi-dimensional scaling, hartigan dip test and α-stable distributions. Biomedical Physics & Engineering Express, vol. 4, no. 6, October 2018
• M. Goldhacker, Ana Maria Tomé, M. Greenle, Elmar W. Lang. Frequency-resolved dynamic functional connectivity reveals scale-stable features of connectivity-states. Frontiers in Human Neuroscience, vol. 12, June 2018 [IF 2018: 2.870 (Q2, 21/77)]
• Hamidreza Kasaei, Miguel Riem Oliveira, Gi Hyun Lim, Luís Seabra Lopes, Ana Maria Tomé. Towards Lifelong Assistive Robotics: A Tight Coupling Between Object Perception and Manipulation. Neurocomputing, vol. 291, p. 151-166, May 2018 [IF 2018: 4.072 (Q1, 28/134)]
• V. Vigneron, A. Kodewitz, M.N. da Costa, Ana Maria Tomé, Elmar W. Lang. Non-negative sub-tensor ensemble factorization (NsTEF) algorithm. A new incremental tensor factorization for large data sets. Signal Processing, vol. 144, p. 77-86, March 2018 [IF 2018: 4.086 (Q1, 53/266)]
• M. Goldhacker, P. Keck, A. Igel, Elmar W. Lang, Ana Maria Tomé. A multi-variate blind source separation algorithm. Computer Methods and Programs in Biomedicine, vol. 151, p. 91-99, November 2017 [IF 2017: 2.674 (Q1, 19/103)] [IF 2018: 3.424 (Q1, 15/105)]
• Götz, Th.I., Ermer, M., Salas-González, D., Kellermeier, Strna, V., Bert, Ch., Hensel, B., Ana Maria Tomé, Elmar W. Lang. On the use of multi-dimensional scaling and electromagnetic tracking in high dose rate brachytherapy. Physics in Medicine and Biology, vol. 62, no. 20, p. 7959-7980, October 2017 [IF 2018: 3.030 (Q2, 26/80)]
• Götz, Th.I., Lahmer, G., Strnad, V., Bert, Ch., Hensel, B., Ana Maria Tomé, Elmar W. Lang. A tool to automatically analyze electromagnetic tracking data from high dose rate brachytherapy of breast cancer patients. PLoS ONE, vol. 12, no. 9, September 2017 [IF 2017: 2.766 (Q1, 15/64)] [IF 2018: 2.776 (Q2, 24/69)]
• Götz, Th.I., Lahmer, G., Brandt, T., Kallis, K., Strnad, V., Bert, C., Hensel, B., Ana Maria Tomé, Elmar W. Lang. On the use of particle filters for electromagnetic tracking in high dose rate brachytherapy. Physics in Medicine and Biology, vol. 62, no. 19, p. 7617-7640, September 2017 [IF 2018: 3.030 (Q2, 26/80)]
• T. Gotz, L. Stadler, G. Fraunhofer, Ana Maria Tomé, H. Hausner, Elmar W. Lang. A combined cICA-EEMD analysis of EEG recordings from depressed or schizophrenic patients during olfactory stimulation. Journal of Neural Engineering, vol. 14, no. 1, February 2017 [IF 2018: 4.551 (Q1, 10/80)]
• Daniel Malafaia, José M. N. Vieira, Ana Maria Tomé. Adaptive threshold spectrum sensing based on expectation maximization algorithm. Physical Communication, vol. 21, p. 60-69, December 2016 [IF 2016: 1.583 (Q3, 137/262)]
• Al-Subari K, Al-Baddai S, Ana Maria Tomé, Volberg G, Ludwig B, Elmar W. Lang. Combined EMD-sLORETA Analysis of EEG Data Collected during a Contour Integration Task. PLoS ONE, vol. 11, no. 12, p. 1-20, December 2016 [IF 2016: 2.806 (Q1, 15/64)] [IF 2018: 2.776 (Q2, 24/69)]
• Hamidreza Kasaei, Ana Maria Tomé, Luís Seabra Lopes, Miguel Riem Oliveira. GOOD: A Global Orthographic Object Descriptor for 3D Object Recognition and Manipulation. Pattern Recognition Letters, vol. 83, Part 3, p. 312–320, November 2016 [IF 2016: 1.995 (Q2, 58/133)] [IF 2018: 2.810 (Q2, 50/134)]
• Al-Baddai, S., Al-Subari, K., Ana Maria Tomé, Ludwig, B., Salas-Gonzales, D., Elmar W. Lang. Analysis of fMRI images with bi-dimensional empirical mode decomposition based-on Green's functions. Biomedical Signal Processing and Control, vol. 30, p. 53-63, September 2016 [IF 2016: 2.214 (Q2, 33/77)] [IF 2018: 2.943 (Q2, 27/80)]
• Daniel Malafaia, José M. N. Vieira, Tiago Miguel Valente Varum, Ana Maria Tomé. Cognitive bio-radar: The natural evolution of bio-signals measurement. Journal of Medical Systems, vol. 40, no. 10, p. 1-2, August 2016 [IF 2016: 2.456 (Q2, 9/23)] [IF 2018: 2.415 (Q2, 12/26)]
• ...further results

Other articles in journals

• A. Neubauer, Ana Maria Tomé, A. Kodewitz, J. M. Górriz, Carlos García Puntonet, Elmar W. Lang. Bidimensional Ensemble Empirical mode Decomposition of Functional Biomedical Images.. Advances in Adaptive Data Analysis, vol. 6, no. 1, January 2014
• Javier de Alfonso Minambres, Ana Maria Tomé. Face Recognition Using Principal Component Analysis. Electrónica e Telecomunicações, vol. 5, no. 4, p. 386-390, December 2012
• Elmar W. Lang, Ana Maria Tomé, I.R. Keck, J.M. Saez, C. G. Puntonet. Brain Connectivity Analysis - A short survey. Computational Intelligence and Neurosciences, vol. 2012, no. ID-412512, p. 21, August 2012
• R Faltermeier, A Zeiler, Ana Maria Tomé, A. Brawanski, and Elmar W. Lang. Weighted Sliding Empirical Mode Decomposition. Advances in Adaptive Data Analysis, vol. 3, no. 4, p. 509-526, December 2011
• Ana Maria Tomé, Ana Rita Teixeira, António J. S. Teixeira, G.Miguel, Petia Georgieva, Elmar W. Lang. Linear Invariant Systems Theory for Signal Enhancement. Electrónica e Telecomunicações, vol. 5, no. 3, p. 290-294, June 2011
• K. Stadlthanner, F.J. Theis, Elmar W. Lang, Ana Maria Tomé, W. Gronwald, and H.R. Kalbitzer.. A Matrix Pencil to the Blind Source Separation of Artifacts in 2D NMR Spectra.. Neural Information Processing- Letters and Reviews, vol. 1, no. 3, p. 103-110, December 2003
• João M. O. S. Rodrigues, Ana Maria Tomé. Audio Compression: Discussion of an Alternative Approach. Electrónica e Telecomunicações - Revista do DETUA, vol. 3, no. 4, p. 362-364, September 2001
• Lars Rüdiger, João M. O. S. Rodrigues, Ana Maria Tomé. Advanced Audio Compression for Multimedia. Electrónica e Telecomunicações - Revista do DETUA, vol. 2, no. 6, p. 718-723, September 1999
• João M. O. S. Rodrigues, Ana Maria Tomé. Codificação Perceptual de Áudio usando Quantização Retro-Adaptativa. Electrónica e Telecomunicações - Revista do DETUA, vol. 1, no. 7, p. 621-626, January 1997

Chapters in books

• Antonio R. Hidalgo‐Muñoz, Míriam M. López, Isabel M. Santos, Manuel Vázquez‐Marrufo, Elmar W. Lang, Ana Maria Tomé. Affective Valence Detection from EEG Signals Using Wrapper Methods. Emotion and Attention Recognition Based on Biological Signals and Images, Seyyed Abed Hosseini (Ed.), INTECH, February 2017
• R. Schachtner, G. Poppel, Ana Maria Tomé, and Elmar W. Lang. From Binary NMF to Variational Bayes NMF: A Probabilistic Approach.. Non-negative Matrix Factorization Techniques, Ganesh R. Naik (Ed.), Springer, Springer Berlin Heidelberg, p. 1-48, 2016
• Hamidreza Kasaei, Nima Shafii, Luís Seabra Lopes, Ana Maria Tomé. Object Learning and Grasping Capabilities for Robotic Home Assistants. RoboCup-2016: Robot Soccer World Cup, Lecture Notes in Computer Science,, Springer, vol. 9776, July 2016
• A. Zeiler, R. Faltermeier, Ana Maria Tomé, I.R. Keck, C. Puntonet, A. Brawanski, Elmar W. Lang. Sliding Empirical Mode Decomposition-Brain Status Data Analysis and Modeling. Advances in Intelligent Signal Processing and Data Mining, Petia Georgieva, L. Mihaylova, Jain Lakhmi (Ed.), Springer Berlin Heidelberg, vol. 410, p. 311-349, January 2013
• Ana Maria Tomé, Ana Rita Teixeira, Elmar W. Lang. Subspace Techniques and Biomedical Time Series Analysis. Recent Advances in Biomedical Signal Processing, J.M. Górriz, Elmar W. Lang, Javier Ramirez (Ed.), Bentham Science, vol. 1, p. 48-59, 2011
• Nuno Figueiredo, Filipe Silva, Petia Georgieva, Ana Maria Tomé. Advances in Non-Invasive Brain-Computer Interfaces for Control and Biometry. Recent Advances in Brain-Computer Interface Systems, Reza Fazel (Ed.), INTECH, p. 171-192, February 2011

Articles in conference proceedings

• José Castanheira, Francisco Curado, Eurico Pedrosa, Edgar Gonçalves, Ana Maria Tomé. Machine Learning Methods for Radar-Based People Detection and Tracking by Mobile Robots. Advances in Intelligent Systems and Computing. Proc. Fourth Iberian Robotics Conference. ROBOT'2019, vol. 1093, p. 379-391, 2020
• José Castanheira, Francisco Curado, Ana Maria Tomé, Edgar Gonçalves. Machine Learning Methods for Radar-Based People Detection and Tracking. Lecture Notes in Computer Science. Progress in Artificial Intelligence: Proc. EPIA'2019, Vila Real, Portugal, vol. 11804, p. 412-423, September 2019
• Ana Rita Teixeira, I.M. Santos, Elmar W. Lang, Ana Maria Tomé. Mining EEG scalp maps of independent components related to HCT tasks. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 10.1109/EMBC.2019.8857600, p. 3888-3891, July 2019
• Hamidreza Kasaei, Nima Shafii, Luís Seabra Lopes, Ana Maria Tomé. Interactive Open-Ended Object, Affordance and Grasp Learning. Proc. IEEE International Conference on Robotics and Automation (ICRA’2019), p. 3747-3753, May 2019
• S. Wein, Ana Maria Tomé, M. Goldhacker, M. Greenlee, Elmar W. Lang. Hybridizing EMD with cICA for fMRI Analysis of Patient Groups. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 10.1109/EMBC.2019.8856355, p. 194-197, April 2019
• Hamidreza Kasaei, Luís Seabra Lopes, Ana Maria Tomé. Coping with Context Change in Open-Ended Object Recognition without Explicit Context Information. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), October 2018
• Hamidreza Kasaei, Juil Sock, Luís Seabra Lopes, Ana Maria Tomé, Tae-Kyun Kim. Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots. Thirty-Second Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2018
• Daniel Malafaia, José M. N. Vieira, Ana Maria Tomé. Energy based clustering method to estimate channel occupation of LTE in unlicensed spectrum. Lecture Notes in Computer Sciences, vol. 10338, p. 325-332, June 2017
• V. Vigneron, T. Q. Syed, L.T. Duarte, Elmar W. Lang, S.I. Behlim, Ana Maria Tomé. Z-images. Lecture Notes in Computer Science, vol. 10255, p. 177-184, June 2017
• Hamidreza Kasaei, Ana Maria Tomé, Luís Seabra Lopes. Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition. Proc. Thirtieth Annual Conference on Neural Information Processing Systems (NIPS’2016), 2016
• Hamidreza Kasaei, Ana Maria Tomé, Luís Seabra Lopes, Miguel Riem Oliveira. An Orthographic Descriptor for 3D Object Learning and Recognition. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Seoul, Korea, October 2016
• Ana Rita Teixeira, Ana Maria Tomé, Isabel Santos. Automatic elimination of High Amplitude Artifacts in EEG signals. Proc. SIGNAL 2016, June 2016
• Hamidreza Kasaei, Luís Seabra Lopes, Ana Maria Tomé. Concurrent 3D Object Category Learning and Recognition based on Topic Modelling and Human Feedback. Proceedings of the 2016 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2016), Bragança, Portugal, April 2016, May 2016
• Miguel Riem Oliveira, Luís Seabra Lopes, Gi Hyun Lim, Hamidreza Kasaei, Angel D. Sappa, Ana Maria Tomé. Concurrent Learning of Visual Codebooks and Object Categories in Open-ended Domains. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, September 2015
• A.R. Hidalgo-Muñoz, Ana Maria Tomé, Latcu, Zarzoso, V. Empirical mode decomposition of multiple ECG leads for catheter ablation long-term outcome prediction in persistent atrial fibrillation. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS),, Milan, Italy, vol. 2015, August 2015
• Hamidreza Kasaei, Miguel Riem Oliveira, Gi Hyun Lim, Luís Seabra Lopes, Ana Maria Tomé. An Adaptive Object Perception System Based on Environment Exploration and Bayesian Learning. Proceedings of the 2015 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2015), Vila Real, Portugal, April 2015
• Hamidreza Kasaei, Miguel Riem Oliveira, Gi Hyun Lim, Luís Seabra Lopes, Ana Maria Tomé. An Interactive Open-Ended Learning Approach for 3D Object Recognition. Proceedings of the 2014 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2014
• Krishna S.R. Dubba, Miguel Riem Oliveira, Gi Hyun Lim, Hamidreza Kasaei, Luís Seabra Lopes, Ana Maria Tomé, Anthony G. Cohn. Grounding Language in Perception for Scene Conceptualization in Autonomous Robots. Proceedings of the 2014 AAAI Spring Symposium on Qualitative Representations for Robots, 2014
• Gi Hyun Lim, Miguel Riem Oliveira, Vahid Mokhtari, Hamidreza Kasaei, Luís Seabra Lopes, Ana Maria Tomé. Interactive Teaching and Experience Extraction for Learning about Objects and Robot Activities. Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN'2014), p. 153-160, 2014
• Miguel Riem Oliveira, Gi Hyun Lim, Luís Seabra Lopes, Hamidreza Kasaei, Ana Maria Tomé, Aneesh Chauhan. A Perceptual Memory System for Grounding Semantic Representations in Intelligent Service Robots. Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), September 2014
• ...further results