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Moment Vector Encoding of Protein Sequences for Supervised ClassificationAltartouri, H., & Glasmachers, T.In Practical Applications of Computational Biology and Bioinformatics, 13th International Conference (pp. 25–35) Springer International Publishing
@incollection{AltartouriGlasmachers2019, author = {Altartouri, Haneen and Glasmachers, Tobias}, title = {Moment Vector Encoding of Protein Sequences for Supervised Classification}, booktitle = {Practical Applications of Computational Biology and Bioinformatics, 13th International Conference}, pages = {25–35}, publisher = {Springer International Publishing}, month = {June}, year = {2019}, doi = {10.1007/978-3-030-23873-5_4}, }Altartouri, H., & Glasmachers, T.. (2019). Moment Vector Encoding of Protein Sequences for Supervised Classification. In Practical Applications of Computational Biology and Bioinformatics, 13th International Conference (pp. 25–35). Springer International Publishing. http://doi.org/10.1007/978-3-030-23873-5_4CaMello-XR enables visualization and optogenetic control of Gq/11 signals and receptor trafficking in GPCR-specific domainsEickelbeck, D., Karapinar, R., Jack, A., Suess, S. T., Barzan, R., Azimi, Z., et al.Communications Biology, 2(1)@article{EickelbeckKarapinarJackEtAl2019, author = {Eickelbeck, Dennis and Karapinar, Raziye and Jack, Alexander and Suess, Sandra T. and Barzan, Ruxandra and Azimi, Zohre and Surdin, Tatjana and Grömmke, Michelle and Mark, Melanie D. and Gerwert, Klaus and Jancke, Dirk and Wahle, Petra and Spoida, Katharina and Herlitze, Stefan}, title = {CaMello-XR enables visualization and optogenetic control of Gq/11 signals and receptor trafficking in GPCR-specific domains}, journal = {Communications Biology}, volume = {2}, number = {1}, month = {February}, year = {2019}, doi = {10.1038/s42003-019-0292-y}, }Eickelbeck, D., Karapinar, R., Jack, A., Suess, S. T., Barzan, R., Azimi, Z., et al. (2019). CaMello-XR enables visualization and optogenetic control of Gq/11 signals and receptor trafficking in GPCR-specific domains. Communications Biology, 2(1). http://doi.org/10.1038/s42003-019-0292-yEmerging category representation in the visual forebrain hierarchy of pigeons (Columba livia)Azizi, A. H., Pusch, R., Koenen, C., Klatt, S., Bröcker, F., Thiele, S., et al.Behavioural Brain Research, 356, 423–434@article{AziziPuschKoenenEtAl2019, author = {Azizi, Amir Hossein and Pusch, Roland and Koenen, Charlotte and Klatt, Sebastian and Bröcker, Franziska and Thiele, Samuel and Kellermann, Janosch and Güntürkün, Onur and Cheng, Sen}, title = {Emerging category representation in the visual forebrain hierarchy of pigeons (Columba livia)}, journal = {Behavioural Brain Research}, volume = {356}, pages = {423–434}, month = {January}, year = {2019}, doi = {10.1016/j.bbr.2018.05.014}, }Azizi, A. H., Pusch, R., Koenen, C., Klatt, S., Bröcker, F., Thiele, S., et al. (2019). Emerging category representation in the visual forebrain hierarchy of pigeons (Columba livia). Behavioural Brain Research, 356, 423–434. http://doi.org/10.1016/j.bbr.2018.05.0146DoF Vehicle Pose Estimation Using Segmentation-Based Part CorrespondencesBarowski, T., Szczot, M., & Houben, S.In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC), accepted@inproceedings{BarowskiSzczotHouben2019, author = {Barowski, Thomas and Szczot, Magdalena and Houben, Sebastian}, title = {6DoF Vehicle Pose Estimation Using Segmentation-Based Part Correspondences}, booktitle = {Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC), accepted}, year = {2019}, }Barowski, T., Szczot, M., & Houben, S.. (2019). 6DoF Vehicle Pose Estimation Using Segmentation-Based Part Correspondences. In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC), accepted.Global Convergence of the (1+1) Evolution StrategyGlasmachers, T.Evolutionary Computation Journal (ECJ)@article{Glasmachers2019, author = {Glasmachers, T.}, title = {Global Convergence of the (1+1) Evolution Strategy}, journal = {Evolutionary Computation Journal (ECJ)}, year = {2019}, }Glasmachers, T. (2019). Global Convergence of the (1+1) Evolution Strategy. Evolutionary Computation Journal (ECJ).How do memory modules differentially contribute to familiarity and recollection?Hakobyan, O., & Cheng, S.Behavioural and Brain Sciences, accepted@article{HakobyanCheng2019, author = {Hakobyan, Olya and Cheng, Sen}, title = {How do memory modules differentially contribute to familiarity and recollection?}, journal = {Behavioural and Brain Sciences}, volume = {accepted}, year = {2019}, }Hakobyan, O., & Cheng, S.. (2019). How do memory modules differentially contribute to familiarity and recollection? Behavioural and Brain Sciences, accepted.Measuring the Data Efficiency of Deep Learning MethodsHlynsson, H., Escalante-B., A., & Wiskott, L.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods SCITEPRESS - Science and Technology Publications@inproceedings{HlynssonEscalante-B.Wiskott2019, author = {Hlynsson, Hlynur and Escalante-B., Alberto and Wiskott, Laurenz}, title = {Measuring the Data Efficiency of Deep Learning Methods}, booktitle = {Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods}, publisher = {SCITEPRESS - Science and Technology Publications}, year = {2019}, doi = {10.5220/0007456306910698}, }Hlynsson, H., Escalante-B., A., & Wiskott, L.. (2019). Measuring the Data Efficiency of Deep Learning Methods. In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications. http://doi.org/10.5220/0007456306910698Learning gradient-based ICA by neurally estimating mutual information@article{HlynssonWiskott2019, author = {Hlynsson, Hlynur Davíð and Wiskott, Laurenz}, title = {Learning gradient-based ICA by neurally estimating mutual information}, year = {2019}, doi = {10.13140/rg.2.2.12943.23200}, }Hlynsson, H. D., & Wiskott, L.. (2019). Learning gradient-based ICA by neurally estimating mutual information. http://doi.org/10.13140/rg.2.2.12943.23200Park marking-based vehicle self-localization with a fisheye topview systemHouben, S., Neuhausen, M., Michael, M., Kesten, R., Mickler, F., & Schuller, F.Journal of Real-Time Image Processing, 16(2), 289–304@article{HoubenNeuhausenMichaelEtAl2019, author = {Houben, Sebastian and Neuhausen, Marcel and Michael, Matthias and Kesten, Robert and Mickler, Florian and Schuller, Florian}, title = {Park marking-based vehicle self-localization with a fisheye topview system}, journal = {Journal of Real-Time Image Processing}, volume = {16}, number = {2}, pages = {289–304}, year = {2019}, }Houben, S., Neuhausen, M., Michael, M., Kesten, R., Mickler, F., & Schuller, F. (2019). Park marking-based vehicle self-localization with a fisheye topview system. Journal of Real-Time Image Processing, 16(2), 289–304.A process account of the UnControlled Manifold uncontrolled manifold structure of joint space variance in pointing movementsMartin, V., Reimann, H., & Schöner, G.Biological Cybernetics@article{MartinReimannSchöner2019, author = {Martin, Valère and Reimann, Hendrik and Schöner, Gregor}, title = {A process account of the UnControlled Manifold uncontrolled manifold structure of joint space variance in pointing movements}, journal = {Biological Cybernetics}, year = {2019}, }Martin, V., Reimann, H., & Schöner, G.. (2019). A process account of the UnControlled Manifold uncontrolled manifold structure of joint space variance in pointing movements. Biological Cybernetics.Fusing Shape-from-Silhouette and the Sparsity Driven Detector for Camera-Based 3D Multi-Object Localization with OcclusionsMichael, M., Horn, D., & Houben, S.In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC), accepted@inproceedings{MichaelHornHouben2019, author = {Michael, Matthias and Horn, Daniela and Houben, Sebastian}, title = {Fusing Shape-from-Silhouette and the Sparsity Driven Detector for Camera-Based 3D Multi-Object Localization with Occlusions}, booktitle = {Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC), accepted}, year = {2019}, }Michael, M., Horn, D., & Houben, S.. (2019). Fusing Shape-from-Silhouette and the Sparsity Driven Detector for Camera-Based 3D Multi-Object Localization with Occlusions. In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC), accepted.Vehicle Shape and Color Classification Using Convolutional NeuralNetworkNafzi, M., Brauckmann, M., & Glasmachers, T.arxiv.org@techreport{NafziBrauckmannGlasmachers2019, author = {Nafzi, Mohamed and Brauckmann, Michael and Glasmachers, Tobias}, title = {Vehicle Shape and Color Classification Using Convolutional NeuralNetwork}, number = {1905.08612}, year = {2019}, }Nafzi, M., Brauckmann, M., & Glasmachers, T.. (2019). Vehicle Shape and Color Classification Using Convolutional NeuralNetwork (No. 1905.08612). arxiv.org.Dual SVM Training on a BudgetQaadan, S., Schüler, M., & Glasmachers, T.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods SCITEPRESS - Science and Technology Publications@inproceedings{QaadanSchülerGlasmachers2019, author = {Qaadan, Sahar and Schüler, Merlin and Glasmachers, Tobias}, title = {Dual SVM Training on a Budget}, booktitle = {Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods}, publisher = {SCITEPRESS - Science and Technology Publications}, year = {2019}, }Qaadan, S., Schüler, M., & Glasmachers, T.. (2019). Dual SVM Training on a Budget. In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications.Modeling macroscopic material behavior with machine learning algorithms trained by micromechanical simulationsReimann, D., Chandra, K., ul Hassan, H., Vajragupta, N., Glasmachers, T., Junker, P., & Hartmaier, A.Frontiers in Materials, section Computational Materials Science@article{ReimannChandraul HassanEtAl2019, author = {Reimann, Denise and Chandra, Kapil and ul Hassan, Hamad and Vajragupta, Napat and Glasmachers, Tobias and Junker, Philipp and Hartmaier, Alexander}, title = {Modeling macroscopic material behavior with machine learning algorithms trained by micromechanical simulations}, journal = {Frontiers in Materials, section Computational Materials Science}, year = {2019}, }Reimann, D., Chandra, K., ul Hassan, H., Vajragupta, N., Glasmachers, T., Junker, P., & Hartmaier, A. (2019). Modeling macroscopic material behavior with machine learning algorithms trained by micromechanical simulations. Frontiers in Materials, section Computational Materials Science.SpikeDeeptector: A deep-learning based method for detection of neural spiking activitySaif-ur-Rehman, M., Lienkämper, R., Parpaley, Y., Wellmer, J., Liu, C., Lee, B., et al.Journal of Neural Engineering@article{Saif-ur-RehmanLienkämperParpaleyEtAl2019, author = {Saif-ur-Rehman, Muhammad and Lienkämper, Robin and Parpaley, Yaroslav and Wellmer, Jörg and Liu, Charles and Lee, Brian and Kellis, Spencer and Andersen, Richard and Iossifidis, Ioannis and Glasmachers, Tobias and Klaes, Christian}, title = {SpikeDeeptector: A deep-learning based method for detection of neural spiking activity}, journal = {Journal of Neural Engineering}, year = {2019}, }Saif-ur-Rehman, M., Lienkämper, R., Parpaley, Y., Wellmer, J., Liu, C., Lee, B., et al. (2019). SpikeDeeptector: A deep-learning based method for detection of neural spiking activity. Journal of Neural Engineering.Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial NetworksSpata, D., Horn, D., & Houben, S.In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 622–628)@inproceedings{SpataHornHouben2019, author = {Spata, Dominic and Horn, Daniela and Houben, Sebastian}, title = {Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)}, pages = {622–628}, year = {2019}, }Spata, D., Horn, D., & Houben, S.. (2019). Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 622–628).2018
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Hippocampal Reactivation Extends for Several Hours Following Novel ExperienceGiri, B., Miyawaki, H., Mizuseki, K., Cheng, S., & Diba, K.The Journal of Neuroscience, 39(5), 866–875
@article{GiriMiyawakiMizusekiEtAl2018, author = {Giri, Bapun and Miyawaki, Hiroyuki and Mizuseki, Kenji and Cheng, Sen and Diba, Kamran}, title = {Hippocampal Reactivation Extends for Several Hours Following Novel Experience}, journal = {The Journal of Neuroscience}, volume = {39}, number = {5}, pages = {866–875}, month = {December}, year = {2018}, doi = {10.1523/jneurosci.1950-18.2018}, }Giri, B., Miyawaki, H., Mizuseki, K., Cheng, S., & Diba, K. (2018). Hippocampal Reactivation Extends for Several Hours Following Novel Experience. The Journal of Neuroscience, 39(5), 866–875. http://doi.org/10.1523/jneurosci.1950-18.2018A Neuro-Inspired Approach to Solve a Simultaneous Location and Mapping Task Using Shared Information in Multiple Robots SystemsMenezes, M. C., de Freitas, E. P., Cheng, S., de Oliveira, A. C. M., & de Almeida Ribeiro, P. R.In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) IEEE@inproceedings{Menezesde FreitasChengEtAl2018, author = {Menezes, Matheus Chaves and de Freitas, Edison Pignaton and Cheng, Sen and de Oliveira, Alexandre Cesar Muniz and de Almeida Ribeiro, Paulo Rogerio}, title = {A Neuro-Inspired Approach to Solve a Simultaneous Location and Mapping Task Using Shared Information in Multiple Robots Systems}, booktitle = {2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)}, publisher = {IEEE}, month = {November}, year = {2018}, doi = {10.1109/icarcv.2018.8581270}, }Menezes, M. C., de Freitas, E. P., Cheng, S., de Oliveira, A. C. M., & de Almeida Ribeiro, P. R. (2018). A Neuro-Inspired Approach to Solve a Simultaneous Location and Mapping Task Using Shared Information in Multiple Robots Systems. In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE. http://doi.org/10.1109/icarcv.2018.8581270Autonomous Exploration Guided by Optimisation MetaheuristicSantos, R. G., de Freitas, E. P., Cheng, S., de Almeida Ribeiro, P. R., & de Oliveira, A. C. M.In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) IEEE@inproceedings{Santosde FreitasChengEtAl2018, author = {Santos, Raphael Gomes and de Freitas, Edison Pignaton and Cheng, Sen and de Almeida Ribeiro, Paulo Rogerio and de Oliveira, Alexandre Cesar Muniz}, title = {Autonomous Exploration Guided by Optimisation Metaheuristic}, booktitle = {2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)}, publisher = {IEEE}, month = {November}, year = {2018}, doi = {10.1109/icarcv.2018.8581136}, }Santos, R. G., de Freitas, E. P., Cheng, S., de Almeida Ribeiro, P. R., & de Oliveira, A. C. M. (2018). Autonomous Exploration Guided by Optimisation Metaheuristic. In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE. http://doi.org/10.1109/icarcv.2018.8581136Subtraction and division of visual cortical population responses by the serotonergic systemAzimi, Z., Spoida, K., Barzan, R., Wollenweber, P., Mark, M. D., Herlitze, S., & Jancke, D.Preprint at bioRxiv@article{AzimiSpoidaBarzanEtAl2018, author = {Azimi, Zohre and Spoida, Katharina and Barzan, Ruxandra and Wollenweber, Patric and Mark, Melanie D and Herlitze, Stefan and Jancke, Dirk}, title = {Subtraction and division of visual cortical population responses by the serotonergic system}, journal = {Preprint at bioRxiv}, month = {October}, year = {2018}, doi = {10.1101/444943}, }Azimi, Z., Spoida, K., Barzan, R., Wollenweber, P., Mark, M. D., Herlitze, S., & Jancke, D.. (2018). Subtraction and division of visual cortical population responses by the serotonergic system. Preprint at bioRxiv. http://doi.org/10.1101/444943Storage fidelity for sequence memory in the hippocampal circuitBayati, M., Neher, T., Melchior, J., Diba, K., Wiskott, L., & Cheng, S.PLOS ONE, 13(10), e0204685@article{BayatiNeherMelchiorEtAl2018, author = {Bayati, Mehdi and Neher, Torsten and Melchior, Jan and Diba, Kamran and Wiskott, Laurenz and Cheng, Sen}, title = {Storage fidelity for sequence memory in the hippocampal circuit}, journal = {PLOS ONE}, volume = {13}, number = {10}, pages = {e0204685}, month = {October}, year = {2018}, doi = {10.1371/journal.pone.0204685}, }Bayati, M., Neher, T., Melchior, J., Diba, K., Wiskott, L., & Cheng, S.. (2018). Storage fidelity for sequence memory in the hippocampal circuit. PLOS ONE, 13(10), e0204685. http://doi.org/10.1371/journal.pone.0204685A neural dynamic model for the perceptual grounding of spatial and movement relationsRichter, M.Doctoral thesis, Ruhr-Universität Bochum, Universitätsstr. 150, 44801 Bochum@phdthesis{Richter2018, author = {Richter, Mathis}, title = {A neural dynamic model for the perceptual grounding of spatial and movement relations}, school = {Ruhr-Universität Bochum}, address = {Universitätsstr. 150, 44801 Bochum}, month = {July }, year = {2018}, }Richter, M. (2018, July). A neural dynamic model for the perceptual grounding of spatial and movement relations. Doctoral thesis, Ruhr-Universität Bochum, Universitätsstr. 150, 44801 Bochum.The reduction of adult neurogenesis in depression impairs the retrieval of new as well as remote episodic memoryFang, J., Demic, S., & Cheng, S.PLOS ONE, 13(6), e0198406@article{FangDemicCheng2018, author = {Fang, Jing and Demic, Selver and Cheng, Sen}, title = {The reduction of adult neurogenesis in depression impairs the retrieval of new as well as remote episodic memory}, journal = {PLOS ONE}, volume = {13}, number = {6}, pages = {e0198406}, month = {June}, year = {2018}, doi = {10.1371/journal.pone.0198406}, }Fang, J., Demic, S., & Cheng, S.. (2018). The reduction of adult neurogenesis in depression impairs the retrieval of new as well as remote episodic memory. PLOS ONE, 13(6), e0198406. http://doi.org/10.1371/journal.pone.0198406TMS-induced neuronal plasticity enables targeted remodeling of visual cortical mapsKozyrev, V., Staadt, R., Eysel, U. T., & Jancke, D.Proceedings of the National Academy of Sciences, 115(25), 6476–6481@article{KozyrevStaadtEyselEtAl2018, author = {Kozyrev, Vladislav and Staadt, Robert and Eysel, Ulf T. and Jancke, Dirk}, title = {TMS-induced neuronal plasticity enables targeted remodeling of visual cortical maps}, journal = {Proceedings of the National Academy of Sciences}, volume = {115}, number = {25}, pages = {6476–6481}, month = {June}, year = {2018}, doi = {10.1073/pnas.1802798115}, }Kozyrev, V., Staadt, R., Eysel, U. T., & Jancke, D.. (2018). TMS-induced neuronal plasticity enables targeted remodeling of visual cortical maps. Proceedings of the National Academy of Sciences, 115(25), 6476–6481. http://doi.org/10.1073/pnas.1802798115The Interaction between Semantic Representation and Episodic MemoryFang, J., Rüther, N., Bellebaum, C., Wiskott, L., & Cheng, S.Neural Computation, 30(2), 293–332@article{FangRütherBellebaumEtAl2018, author = {Fang, Jing and Rüther, Naima and Bellebaum, Christian and Wiskott, Laurenz and Cheng, Sen}, title = {The Interaction between Semantic Representation and Episodic Memory}, journal = {Neural Computation}, volume = {30}, number = {2}, pages = {293–332}, month = {February}, year = {2018}, doi = {10.1162/neco_a_01044}, }Fang, J., Rüther, N., Bellebaum, C., Wiskott, L., & Cheng, S.. (2018). The Interaction between Semantic Representation and Episodic Memory. Neural Computation, 30(2), 293–332. http://doi.org/10.1162/neco_a_01044Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success RuleAkimoto, Y., Auger, A., & Glasmachers, T.In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) ACM@inproceedings{AkimotoAugerGlasmachers2018, author = {Akimoto, Youhei and Auger, Anne and Glasmachers, Tobias}, title = {Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)}, publisher = {ACM}, year = {2018}, }Akimoto, Y., Auger, A., & Glasmachers, T.. (2018). Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). ACM.Fine-Grained Vehicle Representations for Autonomous DrivingBarowski, T., Szczot, M., & Houben, S.In IEEE International Conference on Intelligent Transportation Systems (ITSC) (pp. 3797–3804)@inproceedings{BarowskiSzczotHouben2018, author = {Barowski, Thomas and Szczot, Magdalena and Houben, Sebastian}, title = {Fine-Grained Vehicle Representations for Autonomous Driving}, booktitle = {IEEE International Conference on Intelligent Transportation Systems (ITSC)}, pages = {3797–3804}, year = {2018}, }Barowski, T., Szczot, M., & Houben, S.. (2018). Fine-Grained Vehicle Representations for Autonomous Driving. In IEEE International Conference on Intelligent Transportation Systems (ITSC) (pp. 3797–3804).Self-improving System Integration – Status and Challenges After Five Years of SISSYBellman, K., Botev, J., Diaconescu, A., Esterle, L., Gruhl, C., Landauer, C., et al.In Proceedings of IEEE International Workshops on Foundations and Applications of Self* Systems (pp. 160–167)@inproceedings{BellmanBotevDiaconescuEtAl2018, author = {Bellman, Kirstie and Botev, Jean and Diaconescu, Ada and Esterle, Lukas and Gruhl, Christian and Landauer, Chris and Lewis, Peter R. and Anthony Stein, and Tomforde, Sven and Würtz, Rolf P.}, title = {Self-improving System Integration – Status and Challenges After Five Years of SISSY}, booktitle = {Proceedings of IEEE International Workshops on Foundations and Applications of Self* Systems}, pages = {160–167}, year = {2018}, }Bellman, K., Botev, J., Diaconescu, A., Esterle, L., Gruhl, C., Landauer, C., et al. (2018). Self-improving System Integration – Status and Challenges After Five Years of SISSY. In Proceedings of IEEE International Workshops on Foundations and Applications of Self* Systems (pp. 160–167).Challenges of Convex Quadratic Bi-objective Benchmark ProblemsGlasmachers, T.arXiv.org@techreport{Glasmachers2018, author = {Glasmachers, Tobias}, title = {Challenges of Convex Quadratic Bi-objective Benchmark Problems}, institution = {arXiv.org}, number = {arXiv:1810.09690}, year = {2018}, }Glasmachers, T. (2018). Challenges of Convex Quadratic Bi-objective Benchmark Problems (No. arXiv:1810.09690). arXiv.org.Speeding Up Budgeted Dual SVM Training with Precomputed GSSGlasmachers, T., & Qaadan, S.(M. M. -y-G. Ruben Vera-Rodriguez Sergio Velastin & Morales, A., Eds.), The 23rd Iberoamerican Congress on Pattern Recognition@postproceedings{GlasmachersQaadan2018b, author = {Glasmachers, Tobias and Qaadan, Sahar}, title = {Speeding Up Budgeted Dual SVM Training with Precomputed GSS}, year = {2018}, }Glasmachers, T., & Qaadan, S.. (2018). Speeding Up Budgeted Dual SVM Training with Precomputed GSS. (M. M. -y-G. Ruben Vera-Rodriguez Sergio Velastin & Morales, A., Eds.), The 23rd Iberoamerican Congress on Pattern Recognition.Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section SearchGlasmachers, T., & Qaadan, S.In G. Nicosia, Pardalos, P., Giuffrida, G., Umeton, R., & Sciacca, V. (Eds.), The 4th International Conference on machine Learning, Optimization and Data science - LOD 2018@inproceedings{GlasmachersQaadan2018, author = {Glasmachers, Tobias and Qaadan, Sahar}, title = {Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search}, booktitle = {The 4th International Conference on machine Learning, Optimization and Data science - LOD 2018}, editor = {Nicosia, Giuseppe and Pardalos, Panos and Giuffrida, Giovanni and Umeton, Renato and Sciacca, Vincenzo}, year = {2018}, }Glasmachers, T., & Qaadan, S.. (2018). Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search. In G. Nicosia, Pardalos, P., Giuffrida, G., Umeton, R., & Sciacca, V. (Eds.), The 4th International Conference on machine Learning, Optimization and Data science - LOD 2018.Sequences of discrete attentional shifts emerge from a neural dynamic architecture for conjunctive visual search that operates in continuous timeGrieben, R., Tekülve, J., Zibner, S. K. U., Schneegans, S., & Schöner, G.In T. T. Rogers, Rau, M., Zhu, X., & Kalish, C. W. (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 429–434)@inproceedings{GriebenTekülveZibnerEtAl2018, author = {Grieben, R and Tekülve, J. and Zibner, S.K.U. and Schneegans, S. and Schöner, G.}, title = {Sequences of discrete attentional shifts emerge from a neural dynamic architecture for conjunctive visual search that operates in continuous time}, booktitle = {Proceedings of the 40th Annual Conference of the Cognitive Science Society}, editor = {Rogers, T.T. and Rau, M. and Zhu, X. and Kalish, C. W.}, pages = {429–434}, year = {2018}, }Grieben, R., Tekülve, J., Zibner, S. K. U., Schneegans, S., & Schöner, G.. (2018). Sequences of discrete attentional shifts emerge from a neural dynamic architecture for conjunctive visual search that operates in continuous time. In T. T. Rogers, Rau, M., Zhu, X., & Kalish, C. W. (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 429–434).Anticipatory coarticulation in non-speeded arm movements can be motor-equivalent, carry-over coarticulation always isHansen, E., Grimme, B., Reimann, H., & Schöner, G.Experimental Brain Research@article{HansenGrimmeReimannEtAl2018, author = {Hansen, Eva and Grimme, Britta and Reimann, Hendrik and Schöner, Gregor}, title = {Anticipatory coarticulation in non-speeded arm movements can be motor-equivalent, carry-over coarticulation always is}, journal = {Experimental Brain Research}, year = {2018}, doi = {10.1007/s00221-018-5215-5}, }Hansen, E., Grimme, B., Reimann, H., & Schöner, G.. (2018). Anticipatory coarticulation in non-speeded arm movements can be motor-equivalent, carry-over coarticulation always is. Experimental Brain Research. http://doi.org/10.1007/s00221-018-5215-5Evaluation of Synthetic Video Data in Machine Learning Approaches for Parking Space Classification