771 Einträge « 1 von 16 »

2022

771.

Doliwa, Sebastian; Hussain, Muhammad Ayaz; Sziburis, Tim; Iossifidis, Ioannis

Biologically Inspired Model for Timed Motion in Robotic Systems Konferenzbeitrag

In: 9th IEEE RAS/EMBS International Conference on Biomedical Robotics & Biomechatronics, IEEE, Seoul, South Korea, 2022.

BibTeX | Schlagwörter: Autonomous robotics, Dynamical systems

770.

Fidencio, Aline Xavier; Klaes, Christian; Iossifidis, Ioannis

Error-Related Potentials in Reinforcement Learning-Based Brain-Machine Interfaces Artikel

In: Frontiers in Human Neuroscience, Bd. 16, 2022.

Abstract | Links | BibTeX | Schlagwörter: BCI, EEG, error-related potentials, Machine Learning, Reinforcement learning

769.

Ali, Omair; Saif-ur-Rehman, Muhammad; Glasmachers, Tobias; Iossifidis, Ioannis; Klaes, Christian

ConTraNet: A Single End-to-End Hybrid Network for EEG-based and EMG-based Human Machine Interfaces Artikel

In: 2022.

Abstract | Links | BibTeX | Schlagwörter: BCI, Machine Learning, neural processing, signal processing

768.

Doliwa, Sebastian; Erbeslöh, Andreas; Seidl, Karsten; Iossifidis, Ioannis

Development of a Scalable Analog Front-End for Brain-Computer Interfaces Konferenzbeitrag

In: 17th International Conference on PhD Research in Microelectronics and Electronics, IEEE Prime 2022, Sardinia, Italy, 2022.

BibTeX | Schlagwörter: BCI, Implantable BCI

767.

Ali, Omair; Saif-ur-Rehman, Muhammad; Dyck, Susanne; Glasmachers, Tobias; Iossifidis, Ioannis; Klaes, Christian

Enhancing the decoding accuracy of EEG signals by the introduction of anchored-STFT and adversarial data augmentation method Artikel

In: Nature Scientific Reports, Bd. 12, Ausg. 1, S. 4245, 2022, ISSN: 2045-2322.

Abstract | Links | BibTeX | Schlagwörter: Adversarial NN, BCI, computer science, EEG, Machine Learning, Quantitative Biology, Quantitative Methods

766.

Schmidt, Marie Dominique; Glasmachers, Tobias; Iossifidis, Ioannis

Motion Intention Prediction Konferenzbeitrag

In: FENS, Forum 2022, FENS, Federation of European Neuroscience Societies, 2022.

Abstract | BibTeX | Schlagwörter: BCI, Machine Learning, movement model, muscle signal generator, recurrent neural network

765.

Fidencio, Aline Xavier; Glasmachers, Tobias; Iossifidis, Ioannis

Error-Related Potentials Detection with Dry- and Wet-Electrode EEG Konferenzbeitrag

In: FENS, Forum 2022, FENS, Federation of European Neuroscience Societies, 2022.

Abstract | BibTeX | Schlagwörter: BCI, EEG, error-related potentials, Machine Learning

764.

Schmidt, Marie Dominique; Glasmachers, Tobias; Iossifidis, Ioannis

From Motion to Muscle Artikel

In: arXiv: 2201.11501 [cs.LG], 2022.

Links | BibTeX | Schlagwörter: BCI, Machine Learning, movement model, muscle signal generator, recurrent neural network

2021

763.

Fidencio, Aline Xavier; Glasmachers, Tobias; Klaes, Christian; Iossifidis, Ioannis

Beyond Error Correction: Integration of Error-Related Potentials into Brain-Computer Interfaces for Improved Performance Konferenzbeitrag

In: Bernstein Conference, 2021.

Links | BibTeX | Schlagwörter: BCI, error-related potentials, Machine Learning, Reinforcement learning

762.

Sziburis, Tim; Blex, Susanne; Glasmachers, Tobias; Rano, Inaki; Iossifidis, Ioannis

Modelling the Generation of Human Upper-Limb Reaching Trajectories: An Extended Behavioural Attractor Dynamics Approach Konferenzbeitrag

In: Bernstein Conference, 2021.

Links | BibTeX | Schlagwörter: attractor dynamics approach, human arm motion

761.

Schmidt, Marie Dominique; Glasmachers, Tobias; Iossifidis, Ioannis

Artificially Generated Muscle Signals Konferenzbeitrag

In: Bernstein Conference, 2021.

Links | BibTeX | Schlagwörter: BCI, Machine Learning, movement model, muscle signal generator, recurrent neural network

760.

Lehmler, Stephan Johann; Saif-ur-Rehman, Muhammad; Glasmachers, Tobias; Iossifidis, Ioannis

Transfer-Learning for Patient Specific Model Re-Calibration: Application to sEMG-Classification Konferenzbeitrag

In: Bernstein Conferen, 2021.

Links | BibTeX | Schlagwörter: BCI, Computational Complexity, Deep Transfer-Learning, Machine Learning, transfer learning

759.

Grün, Felix; Glasmachers, Tobias; Iossifidis, Ioannis

Off-Policy Continuous Control Using Distributional Reinforcement Learning Konferenzbeitrag

In: Bernstein Conference, 2021.

Links | BibTeX | Schlagwörter: Machine Learning, Reinforcement learning

758.

Ali, Omair; Saif-ur-Rehman, Muhammad; Dyck, Susanne; Glasmachers, Tobias; Iossifidis, Ioannis; Klaes, Christian

Anchored-STFT and GNAA: An Extension of STFT in Conjunction with an Adversarial Data Augmentation Technique for the Decoding of Neural Signals Artikel

In: arXiv:2011.14694 [cs, q-bio], 2021.

Abstract | BibTeX | Schlagwörter: BCI, Machine Learning, Quantitative Biology, Quantitative Methods

757.

Doliwa, Sebastian; Hussain, Muhammad Ayaz; Sziburis, Tim; Iossifidis, Ioannis

Biologically Inspired Model for Timed Motion in Robotic Systems Artikel

In: arXiv:2106.15864 [cs, math], 2021.

Abstract | BibTeX | Schlagwörter: attractor dynamics approach, Autonomous robotics, Dynamical systems

756.

Sziburis, Tim; Nowak, Markus; Brunelli, Davide

Prototype Reduction on sEMG Data for Instance-Based Gesture Learning towards Real-Time Prosthetic Control: Konferenzbeitrag

In: Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, S. 299–305, SCITEPRESS - Science and Technology Publications, Online Streaming, --- Select a Country ---, 2021, ISBN: 978-989-758-490-9.

Links | BibTeX | Schlagwörter:

755.

Lehmler, Stephan Johann; Saif-ur-Rehman, Muhammad; Glasmachers, Tobias; Iossifidis, Ioannis

Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification Artikel

In: 2021.

Links | BibTeX | Schlagwörter: BCI, Computational Complexity, Deep Transfer-Learning, Machine Learning

754.

Fidêncio, A X; Glasmachers, T; Naro, D

Application of Reinforcement Learning to a Mining System Konferenzbeitrag

In: 2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI), S. 000111–000118, 2021.

Abstract | Links | BibTeX | Schlagwörter: Control Applications, Industrial Application, Machine Learning, Machine learning algorithms, Mining Industry, Reinforcement learning

753.

Fidêncio, A X; Glasmachers, T; Naro, D

Application of Reinforcement Learning to a Mining System Konferenzbeitrag

In: 2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI), S. 000111–000118, 2021.

Abstract | Links | BibTeX | Schlagwörter: Control Applications, Industrial Application, Machine Learning, Machine learning algorithms, Mining Industry, Reinforcement learning

752.

Fidêncio, A X; Glasmachers, T; Naro, D

Application of Reinforcement Learning to a Mining System Konferenzbeitrag

In: 2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI), S. 000111–000118, 2021.

Abstract | Links | BibTeX | Schlagwörter: Control Applications, Industrial Application, Machine Learning, Machine learning algorithms, Mining Industry, Reinforcement learning

751.

Fidêncio, A X; Glasmachers, T; Naro, D

Application of Reinforcement Learning to a Mining System Konferenzbeitrag

In: 2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI), S. 000111–000118, 2021.

Abstract | Links | BibTeX | Schlagwörter: Control Applications, Industrial Application, Machine Learning, Machine learning algorithms, Mining Industry, Reinforcement learning

750.

Wehrmann, Maximilian; Zengeler, Nico; Handmann, Uwe

Observation Time Effects in Reinforcement Learning on Contracts for Difference Artikel

In: Journal of Risk and Financial Management, Bd. 14, Nr. 2:54, S. 1-15, 2021, ISSN: 1911-8074, (MDPI, Basel, Switzerland).

Links | BibTeX | Schlagwörter:

2020

749.

Ali, Omair; Saif-ur-Rehman, Muhammad; Dyck, Susanne; Glasmachers, Tobias; Iossifidis, Ioannis; Klaes, Christian

Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation Artikel

In: arXiv preprint arXiv:2011.14694, 2020.

BibTeX | Schlagwörter: Adversarial NN, BCI, EEG, Machine Learning

748.

Saif-ur-Rehman, Muhammad; Ali, Omair; Dyck, Susanne; Lienkämper, Robin; Metzler, Marita; Parpaley, Yaroslav; Wellmer, Jörg; Liu, Charles; Lee, Brian; Kellis, Spencer; Andersen, Richard A; Iossifidis, Ioannis; Glasmachers, Tobias; Klaes, Christian

SpikeDeep-Classifier: A deep-learning based fully automatic offline spike sorting algorithm Artikel

In: Journal of Neural Engineering, 2020.

Abstract | Links | BibTeX | Schlagwörter: BCI, CNN, Machine Learning, Spike Sorting

747.

Hussain, Muhammad Ayaz; Saif-ur-Rehman, Muhammad; Klaes, Christian; Iossifidis, Ioannis

Comparison of Anomaly Detection between Statistical Method and Undercomplete Konferenzbeitrag

In: IEEE IInternational Congress on Big Data, S. 32–38, Los Angeles, USA, 2020.

Links | BibTeX | Schlagwörter: Anomaly Detection, Autoencoder, Machine Learning

746.

Baker, Nermeen Abou; Szabo-Müller, Paul; Handmann, Uwe

Feature-fusion transfer learning method as a basis to support automated smartphone recycling in a circular smart city Sonstige

2020, (preprint on Researchgate).

Links | BibTeX | Schlagwörter:

745.

Wehrmann, Maximilian; Zengeler, Nico; Handmann, Uwe

Observation Time Effects in Automatic Trading Artikel

In: 2020, (preprint on Researchgate).

Links | BibTeX | Schlagwörter:

744.

Zengeler, Nico; Handmann, Uwe

Contracts for Difference: A Reinforcement Learning Approach Sonstige

2020, (preprint on Researchgate).

Links | BibTeX | Schlagwörter:

743.

Baker, Nermeen Abou; Szabo-Müller, Paul; Handmann, Uwe

Feature-fusion transfer learning method as a basis to support automated smartphone recycling in a circular smart city Konferenz

EAI S-CUBE 2020 - 11th EAI International Conference on Sensor Systems and Software, online, 2020.

Links | BibTeX | Schlagwörter:

742.

Zengeler, Nico; Handmann, Uwe

Contracts for Difference: A Reinforcement Learning Approach Artikel

In: AI and Financial Markets, S. 41-52, 2020, ISBN: 978-3-03936-224-0, (MDPI, Basel, Switzerland).

Links | BibTeX | Schlagwörter:

741.

Zengeler, Nico; Handmann, Uwe

Contracts for Difference: A Reinforcement Learning Approach Artikel

In: Journal of Risk and Financial Management - Special Issue 'AI and Financial Markets', Bd. 13, Nr. 4:78, S. 1-12, 2020, ISSN: 1911-8074, (MDPI, Basel, Switzerland).

Links | BibTeX | Schlagwörter:

740.

Arntz, Alexander; Keßler, Dustin; Borgert, Nele; Zengeler, Nico; Jansen, Marc Björn; Handmann, Uwe; Eimler, Sabrina Cornelia

Navigating a Heavy Industry Environment Using Augmented Reality - A Comparison of Two Indoor Navigation Designs Konferenz

Virtual, Augmented and Mixed Reality - Industrial and Everyday Life Applications, 12th International Conference, VAMR 2020 - Held as Part of the 22nd HCI International Conference, HCII 2020, Springer Nature, Cham, Switzerland, 2020, ISBN: 978-3-030-49697-5.

Links | BibTeX | Schlagwörter:

739.

Detjen, Henrik; Geisler, Stefan; Schneegass, Stefan

Maneuver-based Driving for Intervention in Autonomous Cars Artikel

In: arXiv preprint arXiv:2003.12496, 2020.

BibTeX | Schlagwörter:

738.

Detjen, Henrik; Geisler, Stefan; Schneegass, Stefan

Implicit Cooperation: Emotion Detection for Validation and Adaptation of Automated Vehicles' Driving Behavior Artikel

In: arXiv preprint arXiv:2003.13044, 2020.

BibTeX | Schlagwörter:

737.

Arntz, Alexander; Keßler, Dustin; Borgert, Nele; Zengeler, Nico; Jansen, Marc Björn; Handmann, Uwe; Eimler, Sabrina Cornelia

Navigating a Heavy Industry Environment Using Augmented Reality-A Comparison of Two Indoor Navigation Designs Konferenzbeitrag

In: International Conference on Human-Computer Interaction, S. 3–18, 2020.

BibTeX | Schlagwörter:

736.

Arntz, Alexander; Eimler, Sabrina Cornelia; Hoppe, Heinz Ulrich

Augmenting the Human-Robot Communication Channel in Shared Task Environments Konferenzbeitrag

In: International Conference on Collaboration Technologies and Social Computing, S. 20–34, 2020.

BibTeX | Schlagwörter:

735.

Arntz, Alexander; Eimler, Sabrina Cornelia

Experiencing AI in VR: a qualitative study on designing a human-machine collaboration scenario Konferenzbeitrag

In: International Conference on Human-Computer Interaction, S. 299–307, 2020.

BibTeX | Schlagwörter:

734.

von der Pütten, Astrid Marieke Rosenthal; Straßmann, Carolin; Krämer, Nicole

Language Learning with Artificial Entities: Effects of an Artificial Tutor's Embodiment and Behavior on Users' Alignment and Evaluation Konferenzbeitrag

In: International Conference on Social Robotics, S. 96–107, 2020.

BibTeX | Schlagwörter:

733.

Zengeler, Nico; Handmann, Uwe

Contracts for Difference: A Reinforcement Learning Approach Artikel

In: Journal of Risk and Financial Management, Bd. 13, Nr. 4, S. 78, 2020.

BibTeX | Schlagwörter:

732.

Straßmann, Carolin; Krämer, Nicole; Buschmeier, Hendrik; Kopp, Stefan

Age-Related Differences in the Evaluation of a Virtual Health Agent's Appearance and Embodiment in a Health-Related Interaction: Experimental Lab Study Artikel

In: Journal of Medical Internet Research, Bd. 22, Nr. 4, S. e13726, 2020.

BibTeX | Schlagwörter:

731.

Straßmann, Carolin; Grewe, Alina; Kowalczyk, Christopher; Arntz, Alexander; Eimler, Sabrina Cornelia

Moral robots? How uncertainty and presence affect humans' moral decision making Konferenzbeitrag

In: International Conference on Human-Computer Interaction, S. 488–495, 2020.

BibTeX | Schlagwörter:

730.

Straßmann, Carolin; Eimler, Sabrina Cornelia; Arntz, Alexander; Grewe, Alina; Kowalczyk, Christopher; Sommer, Stefan

Receiving Robot's Advice: Does It Matter When and for What? Konferenzbeitrag

In: International Conference on Social Robotics, S. 271–283, 2020.

BibTeX | Schlagwörter:

729.

Küppers, Fabian; Kronenberger, Jan; Shantia, Amirhossein; Haselhoff, Anselm

Multivariate Confidence Calibration for Object Detection Artikel

In: arXiv preprint arXiv:2004.13546, 2020.

BibTeX | Schlagwörter:

728.

Nurhas, Irawan; Geisler, Stefan; Ojala, Arto; Pawlowski, Jan Martin

Towards a Wellbeing-driven System Design for Intergenerational Collaborative Innovation: A Literature Review Konferenzbeitrag

In: Proceedings of the Annual Hawaii International Conference on System Sciences, 2020.

BibTeX | Schlagwörter:

727.

Nuñez, Tania Roxana; Radtke, Theda; Eimler, Sabrina Cornelia

A third-person perspective on phubbing: Observing smartphone-induced social exclusion generates negative affect, stress, and derogatory attitudes Artikel

In: Cyberpsychology: Journal of Psychosocial Research on Cyberspace, Bd. 14, Nr. 3, 2020.

BibTeX | Schlagwörter:

2019

726.

Tatarek, Thorsten; Lingenauber, Niklas; Thomas, Jan; Kronenberger, Jan; Handmann, Uwe

Autonomes Fahren in Baustellen am Beispiel zweier moderner Fahrzeuge Artikel

In: Nr. internal report 19-01, 2019, ISSN: 2197-6953.

Links | BibTeX | Schlagwörter:

725.

Saif-ur-Rehman, Muhammad; Lienkämper, Robin; Parpaley, Yaroslav; Wellmer, Jörg; Liu, Charles; Lee, Brian; Kellis, Spencer; Andersen, Richard; Iossifidis, Ioannis; Glasmachers, Tobias; Klaes, Christian

SpikeDeeptector: a deep-learning based method for detection of neural spiking activity Artikel

In: Journal of Neural Engineering, Bd. 16, Nr. 5, S. 056003, 2019.

Abstract | Links | BibTeX | Schlagwörter: BCI, CNN, Data Reduction, Machine Learning, Spike Sorting

724.

Hussain, Muhammad Ayaz; Saif-ur-Rehman, Muhammad; Klaes, Christian; Iossifidis, Ioannis

Comparison of Anomaly Detection between Statistical Method and Undercomplete Konferenzbeitrag

In: IEEE IInternational Congress on Big Data, Los Angeles, USA, 2019.

BibTeX | Schlagwörter: Anomaly Detection, Autoencoder, Machine Learning

723.

Saif-ur-Rehman, Muhammad; Lienkämper, Robin; Dyck, S; Rayana, A; Parpaley, Y; Wllner, J; Liu, C; Lee, B; Kellis, S; Manahan-Vaughn, D; Güntürkün, O; Andersen, R A; Iossifidis, Ioannis; Galmachers, T; Klaes, C

Universal SpikeDeeptector Sonstige

2019.

Abstract | BibTeX | Schlagwörter: BCI, CNN, Machine Learning, Spike Detection, Spike Sorting

722.

Zengeler, Nico; Grimm, Matthias; Arntz, Alexander; Keßler, Dustin; Jansen, Marc Björn; Eimler, Sabrina Cornelia; Handmann, Uwe; Hermsen, Klaus; Grubert, Christian

DAMOKLES 4.0 - Dynamisches, adaptives und mobiles System zur kontextbasierten und intelligenten Unterstützung von Mitarbeiter/innen in der Schwerindustrie Artikel

In: Nr. internal report 19-02, 2019, ISSN: 2197-6953.

Links | BibTeX | Schlagwörter:

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