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MG_3249Q_small.jpg Email: nico.piatkowski At sign tu-dortmund.de
Phone:  
Room-No.:  

Consultation hour:
None
During the semester break (solely by arrangement)

About

I am no longer part of the LS8 team. However, you can still contact me via my TU dortmund E-Mail address.

Projects

Publications

Heppe/etal/2020a Heppe, Lukas and Kamp, Michael and Adilova, Linara and Piatkowski, Nico and Heinrich, Danny and Morik, Katharina. Resource-Constrained On-Device Learning by Dynamic Averaging. In ECML PKDD 2020 - Workshop on Parallel, Distributed and Federated Learning, 2020.
Fischer/etal/2019a Fischer, Raphael and Piatkowski, Nico and Morik, Katharina. Parameter Sharing for Spatio-Temporal Process Models. In Jäschke, Robert and Weidlich, Matthias (editors), Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen" (LWDA), Vol. 2454, pages 89--93, 2019. Arrow Symbol
Mücke/Piatkowski/2019a Muecke, Sascha and Piatkowski, Nico and Morik, Katharina. Hardware Accelerated Learning at the Edge. In Kamp, Michael and Paurat, Daniel and Krishnamurthy, Yamuna (editors), Decentralized Machine Learning at the Edge, Springer, 2019. Arrow Symbol
Muecke/etal/2019a Mücke, Sascha and Piatkowski, Nico and Morik, Katharina. Learning Bit by Bit: Extracting the Essence of Machine Learning. In Jäschke, Robert and Weidlich, Matthias (editors), Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen" (LWDA), Vol. 2454, pages 144--155, 2019. Arrow Symbol
Piatkowski/2019a Piatkowski, Nico. Hyper-Parameter-Free Generative Modelling with Deep Boltzmann Trees. In European Conference on Machine Learning (ECML), Springer, 2019.
Piatkowski/2019c Piatkowski, Nico. Distributed Generative Modelling with Sub-Linear Communication Overhead. In Kamp, Michael and Paurat, Daniel and Krishnamurthy, Yamuna (editors), Decentralized Machine Learning at the Edge, Springer, 2019. Arrow Symbol
Saadallah/Piatkowski/2019a Amal Saadallah, Nico Piatkowski, Felix Finkeldey, Petra Wiederkehr and Katharina Morik. Learning Ensembles in the Presence of Imbalanced Classes. In ICPRAM: 8th international conference on pattern recognition applications and methods - icpram 2019, 2019. Arrow Symbol
Sliwa/etal/2019c Sliwa, Benjamin and Falkenberg, Robert and Liebig, Thomas and Piatkowski, Nico and Wietfeld, Christian. Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction. In IEEE Transactions on Intelligent Transportation Systems, 2019.
Bunse/etal/2018b Bunse, Mirko and Piatkowski, Nico and Ruhe, Tim and Rhode, Wolfgang and Morik, Katharina. Unification of Deconvolution Algorithms for Cherenkov Astronomy. In 5th IEEE DSAA, 2018. Arrow Symbol
Bunse/Piatkowski/2018a Bunse, Mirko and Piatkowski, Nico and Morik, Katharina. Towards a Unifying View on Deconvolution in Cherenkov Astronomy. In Gemulla, Rainer and Ponzetto, Simone Paolo and Bizer, Christian and Keuper, Margret and Stuckenschmidt, Heiner (editors), Lernen, Wissen, Daten, Analysen (LWDA) conference proceedings, Vol. 2191, pages 73--77, 2018. Arrow Symbol
Falkenberg/etal/2018b Robert Falkenberg and Benjamin Sliwa and Nico Piatkowski and Christian Wietfeld. Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks using Passive Downlink Indicators. In 2018 IEEE 88th IEEE Vehicular Technology Conference (VTC-Fall), Chicago, USA, 2018.
Hess/etal/2018a Hess, Sibylle and Piatkowski, Nico and Morik, Katharina. The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. In Proceedings of the 2018 SIAM International Conference on Data Mining, SDM 2018, May 3-5, 2018, San Diego Marriott Mission Valley, San Diego, CA, USA., pages 405--413, SIAM, 2018. Arrow Symbol
Piatkowski/2018a Piatkowski, Nico. Exponential Families on Resource-Constrained Systems. TU Dortmund University, Dortmund, 2018. Arrow Symbol
Piatkowski/Morik/2018a Piatkowski, Nico and Morik, Katharina. Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation. In Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018, California, USA, August 6-10, 2018, 2018.
Sliwa/etal/2018e Benjamin Sliwa and Nico Piatkowski and Marcus Haferkamp and Dennis Dorn and Christian Wietfeld. Leveraging the channel as a sensor: Real-time vehicle classification using multidimensional radio-fingerprinting. In 2018 IEEE 21st International Conference on Intelligent Transportation Systems (ITSC), Maui, Hawaii, USA, 2018.
VonDerBrueggen/etal/2018a von der Brüggen, Georg and Piatkowski, Nico and Chen, Kuan-Hsun and Chen, Jian-Jia and Morik, Katharina. Efficiently Approximating the Probability of Deadline Misses in Real-Time Systems. In 30th Euromicro Conference on Real-Time Systems, ECRTS 2018, July 3-6, 2018, Barcelona, Spain, LIPIcs, 2018.
Hess/etal/2017a Hess, Sibylle and Morik, Katharina and Piatkowski, Nico. The PRIMPING routine---Tiling through proximal alternating linearized minimization. In Data Mining and Knowledge Discovery, Vol. 31, No. 4, pages 1090--1131, 2017. Arrow Symbol
Liebig/etal/2017b Liebig, Thomas and Piatkowski, Nico and Bockermann, Christian and Morik, Katharina. Dynamic Route Planning with Real-Time Traffic Predictions. In Information Systems, Vol. 64, pages 258--265, Elsevier, 2017. Arrow Symbol
Panagiotou/etal/2016a Panagiotou, Nikolaos and Zygouras, Nikolas and Katakis, Ioannis and Gunopulos, Dimitrios and Zacheilas, Nikos and Boutsis, Ioannis and Kalogeraki, Vana and Lynch, Stephen and O'Brien, Brendan and Kinane, Dermot and Mare\vcek, Jakub and Yu, Jia Yuan and Verago, Rudi and Daly, Elizabeth and Piatkowski, Nico and Liebig, Thomas and Bockermann, Christian and Morik, Katharina and Schnitzler, Francois and Weidlich, Matthias and Gal, Avigdor and Mannor, Shie and Stange, Hendrik and Halft, Werner and Andrienko, Gennady. INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. In Berendt, Bettina and Bringmann, Björn and Fromont, Élisa and Garriga, Gemma and Miettinen, Pauli and Tatti, Nikolaj and Tresp, Volker (editors), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III, pages 22--26, Cham, Springer, 2016. Arrow Symbol
Piatkowski/etal/2016a Piatkowski, Nico and Lee, Sangkyun and Morik, Katharina. Integer undirected graphical models for resource-constrained systems. In Neurocomputing, Vol. 173, No. 1, pages 9--23, Elsevier, 2016. Arrow Symbol
Piatkowski/Morik/2016a Piatkowski, Nico and Morik, Katharina. Stochastic Discrete Clenshaw-Curtis Quadrature. In Proceedings of the 33rd International Conference on Machine Learning, ICML 2016, New York, USA, 19-24 June 2016, JMLR.org, 2016. Arrow Symbol
Piatkowski/Schnitzler/2016a Piatkowski, Nico and Schnitzler, Fran\ccois. Compressible Reparametrization of Time-Variant Linear Dynamical Systems. In Solving Large Scale Learning Tasks. Challenges and Algorithms - Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday, pages 234--250, 2016. Arrow Symbol
Stolpe/etal/2016b Marco Stolpe and Kanishka Bhaduri and Kamalika Das. Distributed Support Vector Machines: An Overview. In Michaelis, S. and Piatkowski, N. and Stolpe, M. (editors), Solving Large Scale Learning Tasks: Challenges and Algorithms, Vol. 9580, pages 109--138, Springer, 2016.
Artikis/etal/2014a Alexander Artikis and Matthias Weidlich and Francois Schnitzler and Ioannis Boutsis and Thomas Liebig and Nico Piatkowski and Christian Bockermann and Katharina Morik and Vana Kalogeraki and Jakub Marecek and Avigdor Gal and Shie Mannor and Dimitrios Gunopulos and Dermot Kinane. Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. In Proceedings of the 17th International Conference on Extending Database Technology, 2014. Arrow Symbol
Liebig/etal/2014d Thomas Liebig and Nico Piatkowski and Christian Bockermann and Katharina Morik. Route Planning with Real-Time Traffic Predictions. In Proceedings of the LWA 2014 Workshops: KDML, IR, FGWM, pages 83-94, 2014. Arrow Symbol
Piatkowski/etal/2014a Piatkowski, Nico and Sangkyun, Lee and Morik,Katharina. The Integer Approximation of Undirected Graphical Models. In De Marsico, Maria and Tabbone, Antoine and Fred, Ana (editors), ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, ESEO, Angers, Loire Valley, France, 6-8 March, 2014, pages 296--304, SciTePress, 2014. Arrow Symbol
Piatkowski/etal/2015b Piatkowski, Nico and Streicher, Jochen and Olaf, Spinczyk and Morik, Katharina. Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems. In Atzmueller, Martin and Chin, Alvin and Scholz, Christoph and Trattner, Christoph (editors), Mining, Modeling and Recommending Things in Social Media, Vol. 8940, pages 116 -- 130, Springer, 2014. Arrow Symbol
Schnitzler/etal/2014b Schnitzler, Francois and Artikis, Alexander and Weidlich, Matthias and Boutsis, Ioannis and Liebig, Thomas and Piatkowski, Nico and Bockermann, Christian and Morik, Katharina and Kalogeraki, Vana and Marecek, Jakub and Gal, Avigdor and Mannor, Shie and Kinane, Dermot and Gunopulos, Dimitrios. Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. In Proceedings of the European Conference on Machine Learning (ECML), Nectar Track, pages 520-523, Springer, 2014.
Piatkowski/etal/2013a Piatkowski, N. and Lee, S. and Morik, K.. Spatio-temporal random fields: compressible representation and distributed estimation. In Machine Learning, Vol. 93, No. 1, pages 115--139, Springer, 2013. Arrow Symbol
Streicher/etal/2013b Streicher, Jochen and Piatkowski, Nico and Morik, Katharina and Spinczyk, Olaf. Open Smartphone Data for Mobility and Utilization Analysis in Ubiquitous Environments. In Atzmüller, Martin and Scholz, Christoph (editors), Proceedings of the 4th International Workshop on Mining Ubiquitous and Social Environments (MUSE), 2013.
Michaelis/etal/2012a Michaelis, Stefan and Piatkowski, Nico and Morik, Katharina. Predicting Next Network Cell IDs for Moving Users with Discriminative and Generative Models. In Mobile Data Challenge by Nokia Workshop in conjunction with Int. Conf. on Pervasive Computing, Newcastle, UK, 2012. Arrow Symbol
Piatkowski/2012a Piatkowski, Nico. iST-MRF: Interactive Spatio-Temporal Probabilistic Models for Sensor Networks. In International Workshop at ECML PKDD 2012 on Instant Interactive Data Mining (IID), 2012.
Piatkowski/etal/2012a Piatkowski, Nico and Lee, Sangkyun and Morik, Katharina. Spatio-Temporal Models For Sustainability. In Marwah, Manish and Ramakrishnan, Naren and Berges, Mario and Kolter, Zico (editors), Proceedings of the SustKDD Workshop within ACM KDD 2012, ACM, 2012. Arrow Symbol
Fricke/etal/2011a Fricke, Peter and Jungermann, Felix and Morik, Katharina and Piatkowski, Nico and Spinczyk, Olaf and Stolpe, Marco and Streicher, Jochen. Towards Adjusting Mobile Devices To User's Behaviour. In Atzmueller, Martin and Hotho, Andreas and Strohmaier, Markus and Chin, Alvin (editors), Analysis of Social Media and Ubiquitous Data, Vol. 6904, pages 99--118, Berlin, Heidelberg, Springer, 2011. Arrow Symbol
Piatkowski/2011a Piatkowski, Nico. Parallele Implementierung von Conditional Random Fields unter Verwendung von General-Purpose computation on Graphics Processing Units. Technische Universität Dortmund, 2011.
Piatkowski/2011b Piatkowski, Nico. Probabilistic Graphical Models in RapidMiner. No. 2, TU Dortmund University, 2011.
Piatkowski/2011c Piatkowski, Nico. Parallel Algorithms for GPU Accelerated Probabilistic Inference. In International Workshop on Big Learning, Neural Information Processing Systems (NIPS), 2011.
Piatkowski/Morik/2011a Piatkowski, Nico and Morik, Katharina. Parallel Inference on Structured Data with CRFs on GPUs. In International Workshop at ECML PKDD on Collective Learning and Inference on Structured Data (COLISD), Athens, Greece, 2011.
Piatkowski/Morik/2011b Piatkowski, Nico and Morik, Katharina. Parallel Loopy Belief Propagation in Conditional Random Fields. In KDML Workshop of the LWA2011, Magdeburg, Germany, 2011.
Fricke/etal/2010a Fricke, Peter and Jungermann, Felix and Morik, Katharina and Piatkowski, Nico and Spinczyk, Olaf and Stolpe, Marco. Towards Adjusting Mobile Devices to User's Behaviour. In Proceedings of the International Workshop at ECML PKDD on Mining Ubiquitous and Social Environments (MUSE 2010), pages 7 -- 22, 2010. Arrow Symbol
Fricke/etal/2010b Fricke, Peter and Jungermann, Felix and Morik, Katharina and Piatkowski, Nico and Spinczyk, Olaf and Stolpe, Marco. Towards Adjusting Mobile Devices to User's Behaviour. In Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd (editors), Lernen, Wissen & Adaptivität (LWA 2010) -- Workshop Proceedings, pages 51--58, 2010. Arrow Symbol
Morik/etal/2010c Morik, Katharina and Jungermann, Felix and Piatkowski, Nico and Engel,Michael. Enhancing Ubiquitous Systems Through System Call Mining. In Large-scale Analytics for Complex Instrumented Systems (LACIS), Workshop at ICDM 2010, 2010. Arrow Symbol
Preuss/etal/2010a Preuss, Mike and Beume, Nicola and Danielsiek, Holger and Hein, Tobias and Naujoks, Boris and Piatkowski, Nico and Stüer, Raphael and Thom, Andreas and Wessing, Simon. Towards Intelligent Team Composition and Maneuvering in Real-Time Strategy Games. In IEEE Transactions on Computational Intelligence and AI in Games, Vol. 2, No. 2, pages 82-98, 2010. Arrow Symbol
Beume/etal/2008a Beume, Nicola and Hein, Tobias and Naujoks, Boris and Piatkowski, Nico and Preuss, Mike and Wessing, Simon. Intelligent anti-grouping in real-time strategy games. In IEEE Symposium On Computational Intelligence and Games, 2008. (CIG '08), pages 63-70, IEEE Press, 2008.
Beume/etal/2008b Beume, Nicola and Hein,Tobias and Naujoks,Boris and Neugebauer,Georg and Piatkowski,Nico and Preuss,Mike and Stüer, Raphael and Thom, Andreas. To Model or Not to Model: Controlling Pac-Man Ghosts Without Incorporating Global Knowledge. In Proceedings of the Congress on Evolutionary Computation (CEC 2008) within 5th IEEE World Congress on Computational Intelligence (WCCI 2008), pages 3463-3470, IEEE Press, 2008.

Software

Supervised Theses