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Gedächtnisverbesserung: Möglichkeiten und kritische BetrachtungCheng, S.In F. Hüttemann & Liggieri, K. (Eds.), Die Grenze "Mensch". Diskurse des Transhumanismus. Bielefeld: transcript Verlag
@incollection{Cheng0, author = {Cheng, Sen}, title = {Gedächtnisverbesserung: Möglichkeiten und kritische Betrachtung}, booktitle = {Die Grenze "Mensch". Diskurse des Transhumanismus.}, editor = {Hüttemann, Felix and Liggieri, Kevin}, publisher = {transcript Verlag}, address = {Bielefeld}, year = {in press}, }Cheng, S. (in press). Gedächtnisverbesserung: Möglichkeiten und kritische Betrachtung. In F. Hüttemann & Liggieri, K. (Eds.), Die Grenze "Mensch". Diskurse des Transhumanismus.. Bielefeld: transcript Verlag.Learning Cognitive Map Representations for Navigation by Sensorimotor IntegrationZhao, D., Zhang, Z., Lu, H., Cheng, S., Si, B., & Feng, X.IEEE Transactions on Cybernetics@article{ZhaoZhangLuEtAl0, author = {Zhao, D. and Zhang, Z. and Lu, H. and Cheng, S. and Si, B. and Feng, X.}, title = {Learning Cognitive Map Representations for Navigation by Sensorimotor Integration}, journal = {IEEE Transactions on Cybernetics}, year = {in press}, }Zhao, D., Zhang, Z., Lu, H., Cheng, S., Si, B., & Feng, X. (in press). Learning Cognitive Map Representations for Navigation by Sensorimotor Integration. IEEE Transactions on Cybernetics.2020
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Improving sensory representations using episodic memoryGörler, R., Wiskott, L., & Cheng, S.Hippocampus, 30(6), 638–656
@article{GörlerWiskottCheng2020, author = {Görler, Richard and Wiskott, Laurenz and Cheng, Sen}, title = {Improving sensory representations using episodic memory}, journal = {Hippocampus}, volume = {30}, number = {6}, pages = {638–656}, month = {December}, year = {2020}, doi = {10.1002/hipo.23186}, }Görler, R., Wiskott, L., & Cheng, S.. (2020). Improving sensory representations using episodic memory. Hippocampus, 30(6), 638–656. http://doi.org/10.1002/hipo.23186Trial-by-trial dynamics of reward prediction error associated signals during extinction learning and renewalPackheiser, J., Donoso, J. R., Cheng, S., Güntürkün, O., & Pusch, R.Progress in Neurobiology, 101901@article{PackheiserDonosoChengEtAl2020, author = {Packheiser, Julian and Donoso, José R. and Cheng, Sen and Güntürkün, Onur and Pusch, Rol}, title = {Trial-by-trial dynamics of reward prediction error associated signals during extinction learning and renewal}, journal = {Progress in Neurobiology}, pages = {101901}, month = {August}, year = {2020}, doi = {10.1016/j.pneurobio.2020.101901}, }Packheiser, J., Donoso, J. R., Cheng, S., Güntürkün, O., & Pusch, R. (2020). Trial-by-trial dynamics of reward prediction error associated signals during extinction learning and renewal. Progress in Neurobiology, 101901. http://doi.org/10.1016/j.pneurobio.2020.101901Perception of the difference between past and present stimulus: A rare orientation illusion may indicate incidental access to prediction error-like signalsStaadt, R., Philipp, S. T., Cremers, J. L., Kornmeier, J., & Jancke, D.PLOS ONE, 15(5), e0232349@article{StaadtPhilippCremersEtAl2020, author = {Staadt, Robert and Philipp, Sebastian T. and Cremers, Joschka L. and Kornmeier, Jürgen and Jancke, Dirk}, title = {Perception of the difference between past and present stimulus: A rare orientation illusion may indicate incidental access to prediction error-like signals}, journal = {PLOS ONE}, volume = {15}, number = {5}, pages = {e0232349}, month = {May}, year = {2020}, doi = {10.1371/journal.pone.0232349}, }Staadt, R., Philipp, S. T., Cremers, J. L., Kornmeier, J., & Jancke, D.. (2020). Perception of the difference between past and present stimulus: A rare orientation illusion may indicate incidental access to prediction error-like signals. PLOS ONE, 15(5), e0232349. http://doi.org/10.1371/journal.pone.0232349Separable gain control of ongoing and evoked activity in the visual cortex by serotonergic inputAzimi, Z., Barzan, R., Spoida, K., Surdin, T., Wollenweber, P., Mark, M. D., et al.eLife, 9@article{AzimiBarzanSpoidaEtAl2020, author = {Azimi, Zohre and Barzan, Ruxandra and Spoida, Katharina and Surdin, Tatjana and Wollenweber, Patric and Mark, Melanie D and Herlitze, Stefan and Jancke, Dirk}, title = {Separable gain control of ongoing and evoked activity in the visual cortex by serotonergic input}, journal = {eLife}, volume = {9}, month = {April}, year = {2020}, doi = {10.7554/elife.53552}, }Azimi, Z., Barzan, R., Spoida, K., Surdin, T., Wollenweber, P., Mark, M. D., et al. (2020). Separable gain control of ongoing and evoked activity in the visual cortex by serotonergic input. eLife, 9. http://doi.org/10.7554/elife.53552The Hessian Estimation Evolution StrategyGlasmachers, T., & Krause, O.In Parallel Problem Solving from Nature (PPSN XVII) Springer@inproceedings{GlasmachersKrause2020, author = {Glasmachers, Tobias and Krause, Oswin}, title = {The Hessian Estimation Evolution Strategy}, booktitle = {Parallel Problem Solving from Nature (PPSN XVII)}, publisher = {Springer}, year = {2020}, }Glasmachers, T., & Krause, O. (2020). The Hessian Estimation Evolution Strategy. In Parallel Problem Solving from Nature (PPSN XVII). Springer.Convergence Analysis of the Hessian Estimation Evolution StrategyGlasmachers, T., & Krause, O.arxiv.org@techreport{GlasmachersKrause2020b, author = {Glasmachers, Tobias and Krause, Oswin}, title = {Convergence Analysis of the Hessian Estimation Evolution Strategy}, number = {2009.02732}, year = {2020}, }Glasmachers, T., & Krause, O. (2020). Convergence Analysis of the Hessian Estimation Evolution Strategy (No. 2009.02732). arxiv.org.Scene memory and spatial inhibition in visual search: A neural dynamic process model and new experimental evidenceGrieben, R., Tekülve, J., Zibner, S. K. U., Lins, J., Schneegans, S., & Schöner, G.Attention, Perception, & Psychophysics@article{GriebenTekülveZibnerEtAl2020, author = {Grieben, Raul and Tekülve, Jan and Zibner, Stephan K.U. and Lins, Jonas and Schneegans, Sebastian and Schöner, Gregor}, title = {Scene memory and spatial inhibition in visual search: A neural dynamic process model and new experimental evidence}, journal = {Attention, Perception, & Psychophysics}, year = {2020}, doi = {10.3758/s13414-019-01898-y}, }Grieben, R., Tekülve, J., Zibner, S. K. U., Lins, J., Schneegans, S., & Schöner, G.. (2020). Scene memory and spatial inhibition in visual search: A neural dynamic process model and new experimental evidence. Attention, Perception, & Psychophysics. http://doi.org/10.3758/s13414-019-01898-yAnalyzing Reinforcement Learning Benchmarks with Random Weight GuessingOller, D., Cuccu, G., & Glasmachers, T.In International Conference on Autonomous Agents and Multi-Agent Systems@inproceedings{OllerCuccuGlasmachers2020, author = {Oller, Declan and Cuccu, Giuseppe and Glasmachers, Tobias}, title = {Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing}, booktitle = {International Conference on Autonomous Agents and Multi-Agent Systems}, year = {2020}, }Oller, D., Cuccu, G., & Glasmachers, T.. (2020). Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing. In International Conference on Autonomous Agents and Multi-Agent Systems.Grounding Spatial Language in Perception by Combining Concepts in a Neural Dynamic ArchitectureSabinasz, D., Richter, M., Lins, J., & Schöner, G.In S. Denison, Mack, M., Xu, Y., & Armstrong, B. C. (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 620–626) Cognitive Science Society@inproceedings{SabinaszRichterLinsEtAl2020, author = {Sabinasz, Daniel and Richter, Mathis and Lins, Jonas and Schöner, Gregor}, title = {Grounding Spatial Language in Perception by Combining Concepts in a Neural Dynamic Architecture}, booktitle = {Proceedings of the 42nd Annual Conference of the Cognitive Science Society}, editor = {Denison, Stephanie and Mack, Michael and Xu, Yang and Armstrong, Blair C}, pages = {620–626}, publisher = {Cognitive Science Society}, year = {2020}, }Sabinasz, D., Richter, M., Lins, J., & Schöner, G.. (2020). Grounding Spatial Language in Perception by Combining Concepts in a Neural Dynamic Architecture. In S. Denison, Mack, M., Xu, Y., & Armstrong, B. C. (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 620–626). Cognitive Science Society.AI for Social Good: Unlocking the Opportunity for Positive ImpactTomašev, N., Cornebise, J., Hutter, F., Picciariello, A., Connelly, B., Belgrave, D. C. M., et al.Nature Communications, (2468)@article{TomaševCornebiseHutterEtAl2020, author = {Tomašev, Nenad and Cornebise, Julien and Hutter, Frank and Picciariello, Angela and Connelly, Bec and Belgrave, Danielle C. M. and Ezer, Daphne and Cachat van der Haert, Fanny and Mugisha, Frank and , Gerald Abila and Arai, Hiromi and Almiraat, Hisham and Proskurnia, Julia and , Kyle Snyder and Otake, Mihoko and Othman, Mustafa and Mohamed, Shakir and Glasmachers, Tobias and de Wever, Wilfried and Teh, Yee Whye and Khan, Mohammad Emtiyaz and De Winne, Ruben and 1, Tom Schaul and Clopath, Claudia}, title = {AI for Social Good: Unlocking the Opportunity for Positive Impact}, journal = {Nature Communications}, number = {2468}, year = {2020}, }Tomašev, N., Cornebise, J., Hutter, F., Picciariello, A., Connelly, B., Belgrave, D. C. M., et al. (2020). AI for Social Good: Unlocking the Opportunity for Positive Impact. Nature Communications, (2468).2019
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Improved graph-based SFA: information preservation complements the slowness principleEscalante-B., A. N., & Wiskott, L.Machine Learning
@article{Escalante-B.Wiskott2019, author = {Escalante-B., Alberto N. and Wiskott, Laurenz}, title = {Improved graph-based SFA: information preservation complements the slowness principle}, journal = {Machine Learning}, month = {December}, year = {2019}, doi = {10.1007/s10994-019-05860-9}, }Escalante-B., A. N., & Wiskott, L.. (2019). Improved graph-based SFA: information preservation complements the slowness principle. Machine Learning. http://doi.org/10.1007/s10994-019-05860-9Hippocampal 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{GiriMiyawakiMizusekiEtAl2019, 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 = {2019}, doi = {10.1523/jneurosci.1950-18.2018}, }Giri, B., Miyawaki, H., Mizuseki, K., Cheng, S., & Diba, K. (2019). Hippocampal Reactivation Extends for Several Hours Following Novel Experience. The Journal of Neuroscience, 39(5), 866–875. http://doi.org/10.1523/jneurosci.1950-18.2018Computer mouse tracking reveals motor signatures in a cognitive task of spatial language groundingLins, J., & Schöner, G.Attention, Perception, & Psychophysics@article{LinsSchöner2019, author = {Lins, Jonas and Schöner, Gregor}, title = {Computer mouse tracking reveals motor signatures in a cognitive task of spatial language grounding}, journal = {Attention, Perception, & Psychophysics}, month = {September}, year = {2019}, doi = {10.3758/s13414-019-01847-9}, }Lins, J., & Schöner, G.. (2019). Computer mouse tracking reveals motor signatures in a cognitive task of spatial language grounding. Attention, Perception, & Psychophysics. http://doi.org/10.3758/s13414-019-01847-9Moment 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) (pp. 573–580)@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)}, pages = {573–580}, 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) (pp. 573–580).A Parallel RatSlam C++ Library Implementationde Souza Muñoz, M. E., Menezes, M. C., de Freitas, E. P., Cheng, S., de Almeida Neto, A., de Oliveira, A. C. M., & de Almeida Ribeiro, P. R.In Communications in Computer and Information Science (pp. 173–183) Springer International Publishing@incollection{de Souza MuñozMenezesde FreitasEtAl2019, author = {de Souza Muñoz, Mauro Enrique and Menezes, Matheus Chaves and de Freitas, Edison Pignaton and Cheng, Sen and de Almeida Neto, Areolino and de Oliveira, Alexandre César Muniz and de Almeida Ribeiro, Paulo Rogério}, title = {A Parallel RatSlam C++ Library Implementation}, booktitle = {Communications in Computer and Information Science}, pages = {173–183}, publisher = {Springer International Publishing}, year = {2019}, doi = {10.1007/978-3-030-36636-0_13}, }de Souza Muñoz, M. E., Menezes, M. C., de Freitas, E. P., Cheng, S., de Almeida Neto, A., de Oliveira, A. C. M., & de Almeida Ribeiro, P. R. (2019). A Parallel RatSlam C++ Library Implementation. In Communications in Computer and Information Science (pp. 173–183). Springer International Publishing. http://doi.org/10.1007/978-3-030-36636-0_13Challenges of Convex Quadratic Bi-objective Benchmark ProblemsGlasmachers, T.In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) (pp. 559–567) ACM@inproceedings{Glasmachers2019b, author = {Glasmachers, Tobias}, title = {Challenges of Convex Quadratic Bi-objective Benchmark Problems}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)}, pages = {559–567}, publisher = {ACM}, year = {2019}, }Glasmachers, T. (2019). Challenges of Convex Quadratic Bi-objective Benchmark Problems. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) (pp. 559–567). ACM.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).Boosting Reinforcement Learning with Unsupervised Feature ExtractionHakenes, S., & Glasmachers, T.In Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation (pp. 555–566) Springer International Publishing@incollection{HakenesGlasmachers2019, author = {Hakenes, Simon and Glasmachers, Tobias}, title = {Boosting Reinforcement Learning with Unsupervised Feature Extraction}, booktitle = {Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation}, pages = {555–566}, publisher = {Springer International Publishing}, year = {2019}, doi = {10.1007/978-3-030-30487-4_43}, }Hakenes, S., & Glasmachers, T.. (2019). Boosting Reinforcement Learning with Unsupervised Feature Extraction. In Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation (pp. 555–566). Springer International Publishing. http://doi.org/10.1007/978-3-030-30487-4_43How do memory modules differentially contribute to familiarity and recollection?Hakobyan, O., & Cheng, S.Behavioral and Brain Sciences, 42, e288@article{HakobyanCheng2019, author = {Hakobyan, Olya and Cheng, Sen}, title = {How do memory modules differentially contribute to familiarity and recollection?}, journal = {Behavioral and Brain Sciences}, volume = {42}, pages = {e288}, year = {2019}, doi = {10.1017/S0140525X19001833}, }Hakobyan, O., & Cheng, S.. (2019). How do memory modules differentially contribute to familiarity and recollection? Behavioral and Brain Sciences, 42, e288. http://doi.org/10.1017/S0140525X19001833Measuring 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 InformationHlynsson, H. D. ′ið, & Wiskott, L.In C. Benzmüller & Stuckenschmidt, H. (Eds.), KI 2019: Advances in Artificial Intelligence (pp. 182–187) Cham: Springer International Publishing@inproceedings{HlynssonWiskott2019, author = {Hlynsson, Hlynur Dav′ið and Wiskott, Laurenz}, title = {Learning Gradient-Based ICA by Neurally Estimating Mutual Information}, booktitle = {KI 2019: Advances in Artificial Intelligence}, editor = {Benzmüller, Christoph and Stuckenschmidt, Heiner}, pages = {182–187}, publisher = {Springer International Publishing}, address = {Cham}, year = {2019}, }Hlynsson, H. D. ′ið, & Wiskott, L.. (2019). Learning Gradient-Based ICA by Neurally Estimating Mutual Information. In C. Benzmüller & Stuckenschmidt, H. (Eds.), KI 2019: Advances in Artificial Intelligence (pp. 182–187). Cham: Springer International Publishing.Park 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) (pp. 1417–1424)@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)}, pages = {1417–1424}, 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) (pp. 1417–1424).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., Nidadavolu, K., ul Hassan, H., Vajragupta, N., Glasmachers, T., Junker, P., & Hartmaier, A.Frontiers in Materials, 6, 181@article{ReimannNidadavoluul HassanEtAl2019, author = {Reimann, Denise and Nidadavolu, 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}, volume = {6}, pages = {181}, year = {2019}, doi = {10.3389/fmats.2019.00181}, }Reimann, D., Nidadavolu, 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, 6, 181. http://doi.org/10.3389/fmats.2019.00181SpikeDeeptector: 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.,