Hasso-Plattner-Institut
 
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Conference Papers of the Chair of Prof. Dr. Christoph Meinel

Here you can find all our peer-reviewed conference papers.

You can also find sub-lists of our peer-reviewed conference papers focusing on 

Publications - Complete List

[ 2023 ] [ 2022 ] [ 2021 ] [ 2020 ] [ 2019 ] [ 2018 ] [ 2017 ] [ 2016 ] [ 2015 ] [ 2014 ] [ 2013 ] [ 2012 ] [ 2011 ] [ 2010 ] [ 2009 ] [ 2008 ] [ 2007 ] [ 2006 ] [ 2005 ] [ 2004 ] [ 2003 ] [ 2002 ] [ 2001 ] [ 2000 ] [ 1999 ]

2023 [ nach oben ]

  • 1.
    Köhler, D., Pünter, W., Meinel, C.: The ’’How’’ Matters: Evaluating different Video Types for Cybersecurity MOOCs. In: Viberg, O., Jivet, I., Muñoz-Merino, P., Perifanou, M., and Papathoma, T. (eds.) Responsive and Sustainable Educational Futures. pp. 149–163. Springer Nature Switzerland (2023).
     
  • 2.
    Eslami, S., Meinel, C., De Melo, G.: PubMedCLIP: How Much Does CLIP Benefit Visual Question Answering in the Medical Domain?. Findings of the Association for Computational Linguistics: EACL 2023. pp. 1151–1163 (2023).
     
  • De-anonymising individual... - Download
    3.
    Podlesny, N.J., Kayem, A.V., Meinel, C.: De-anonymising individuals through unique patterns in movement data. Computing Conference 2023 (2023).
     
  • Exploring the Effectivene... - Download
    4.
    Elhayany, M., Serth, S., Meinel, C.: Exploring the Effectiveness of Web-Based Programming Environments for MOOCs: A Comparative Study of CodeOcean and OpenJupyter. 2023 IEEE Learning with MOOCS (LWMOOCS). pp. 1–6. IEEE, Cambridge, MA, USA (2023).
     
  • On the Feasibility of Ser... - Download
    5.
    Serth, S., Paß, M., Meinel, C.: On the Feasibility of Serverless Functions in the Context of Auto-Graders. 2023 IEEE 2nd German Education Conference (GECon). pp. 1–6. IEEE, Berlin, Germany (2023).
     
  • On Air: Benefits of weekl... - Download
    6.
    Köhler, D., Serth, S., Meinel, C.: On Air: Benefits of weekly Podcasts accompanying Online Courses. Proceedings of the Tenth ACM Conference on Learning @ Scale. pp. 311–315. ACM, Copenhagen, Denmark (2023).
     
  • 7.
    Köhler, D., Serth, S., Meinel, C.: On Air: Benefits of weekly Podcasts accompanying Online Courses. Proceedings of the Tenth ACM Conference on Learning @ Scale. (2023).
     
  • Scale Up Multilingualism ... - Download
    8.
    Utunen, H., Staubitz, T., George, R., Zhao, Y. (Ursula), Serth, S., Tokar, A.: Scale Up Multilingualism in Health Emergency Learning: Developing an Automated Transcription and Translation Tool. In: Hägglund, M., Blusi, M., Bonacina, S., Nilsson, L., Madsen, I.C., Pelayo, S., Moen, A., Benis, A., Lindsköld, L., and Gallos, P. (eds.) Caring is Sharing – Exploiting the Value in Data for Health and Innovation. pp. 408–412. IOS Press, Gothenburg, Sweden (2023).
     
  • 9.
    Alhosseini, S.A., Meinel, C.: The More The Merrier Reconstruction of Twitter Firehose. The 37th International Conference on Information Networking ICOIN2023. ICOIN, Bangkok, Thailand (2023).
     

2022 [ nach oben ]

  • Video Consumption with Mo... - Download
    1.
    Bothe, M., Schwerer, F., Meinel, C.: Video Consumption with Mobile Applications in a Global Enterprise MOOC Context. In: Guralnick, D., Auer, M.E., and Poce, A. (eds.) Innovations in Learning and Technology for the Workplace and Higher Education. pp. 49–60. Springer International Publishing, Cham (2022).
     
  • 2.
    Alhosseini, S.A., Meinel, C.: Predicting User Engagements using Graph Neural Networks on Online Social Networks. The 8th IEEE International Conference on Data Science and Systems DSS2022. IEEE (2022).
     
  • CoK: A Survey of Privacy ... - Download
    3.
    Podlesny, N.J., Kayem, A.V.D.M., Meinel, C.: CoK: A Survey of Privacy Challenges in Relation to Data Meshes. In: Strauss, C., Cuzzocrea, A., Kotsis, G., Tjoa, A.M., and Khalil, I. (eds.) Database and Expert Systems Applications - 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings, Part I. pp. 85–102. Springer, Cham, Vienna, Austria (2022).
     
  • 4.
    Bothe, M., Meinel, C.: Stay at Home and Learn: Did the COVID-19 Pandemic Influence Mobile Learning in MOOCs?. 2022 IEEE Learning with MOOCS (LWMOOCS). pp. 85–90 (2022).
     
  • 5.
    Li, ziyun, Otholt, J., Dai, B., Hu, D., Meinel, C., Yang, H.: A Closer Look at Novel Class Discovery from the Labeled Set. Workshop on Distribution Shifts: Connecting Methods and Applications, NeurIPS 2022 (2022).
     
  • 6.
    Motlagh, F., Kayem, A., Meinel, C.: A Multi-agent Model to Support Privacy Preserving Co-owned Image Sharing on Social Media. Advanced Information Networking and Applications. 449, 140–151 (2022).
     
  • 7.
    von Schmieden, K., Mayer, L., Taheri, M., Meinel, C.: Challenges for Novice MOOC Designers. 2022 IEEE Learning with MOOCS (LWMOOCS). pp. 137–143. IEEE (2022).
     
  • A Study about Future Pros... - Download
    8.
    Elhayany, M., Nair, R.-R., Staubitz, T., Meinel, C.: A Study about Future Prospects of JupyterHub in MOOCs. Proceedings of the Ninth ACM Conference on Learning @ Scale. pp. 275–279. Association for Computing Machinery, New York City, NY, USA (2022).
     
  • 9.
    Bartz, C., Raetz, H., Otholt, J., Meinel, C., Yang, H.: Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data. 2022 26th International Conference on Pattern Recognition (ICPR). pp. 3878–3884 (2022).
     
  • 10.
    Li, Z., Wang, X., Hu, D., Robertson, N.M., Clifton, D.A., Meinel, C., Yang, H.: Not All Knowledge Is Created Equal: Mutual Distillation of Confident Knowledge. Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022 (2022).
     
  • A Comprehensive Review of... - Download
    11.
    Majd, M., Najafi, P., Alhosseini, S.A., Cheng, F., Meinel, C.: A Comprehensive Review of Anomaly Detection in Web Logs. Proceedings of the 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT’22). IEEE Press, Vancouver, Washington, USA (2022).
     
  • 12.
    Koehler, D., Serth, S., Steinbeck, H., Meinel, C.: Integrating Podcasts into MOOCs: Comparing Effects of Audio- and Video-Based Education for Secondary Content. In: Hilliger, I., Muñoz-Merino, P.J., Laet, T.D., Ortega-Arranz, A., and Farrell, T. (eds.) Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption (EC-TEL 2022). pp. 131–144. Springer, Toulouse, France (2022).
     
  • Breaking the Ice? How to ... - Download
    13.
    Hagedorn, C., Serth, S., Meinel, C.: Breaking the Ice? How to Foster the Sense of Community in MOOCs. 2022 International Conference on Advanced Learning Technologies (ICALT). pp. 22–26. IEEE, Bucharest, Romania (2022).
     
  • Analysis of the Applicabi... - Download
    14.
    Staubitz, T., Bothe, M., Elhayany, M., Hagedorn, C., Serth, S., Zobel, T., Meinel, C.: Analysis of the Applicability of General Scaling Laws on Course Size, Completion Rates, and Forum Activity in MOOCs. Proceedings of the Ninth ACM Conference on Learning @ Scale. pp. 294–298. ACM, New York, USA (2022).
     
  • A Multi-agent Model to Su... - Download
    15.
    Motlagh, F.N., Kayem, A.V., Meinel, C.: A Multi-agent Model to Support Privacy Preserving Co-owned Image Sharing on Social Media. In: Barolli, L., Hussain, F., and Enokido, T. (eds.) Proceedings of the 36th International Conference on Advanced Information Networking and Applications (AINA-2022). pp. 140–151. Spinger, Sydney, Australia (2022).
     

2021 [ nach oben ]

  • 1.
    Podlesny, N.J., Kayem, A.V., Meinel, C.: GPU Accelerated Bayesian Inference for Quasi-Identifier Discovery in High-Dimensional Data. International Conference on Advanced Information Networking and Applications. pp. 495–508. Springer (2021).
     
  • MeliusNet: An Improved Ne... - Download
    2.
    Bethge, J., Bartz, C., Yang, H., Chen, Y., Meinel, C.: MeliusNet: An Improved Network Architecture for Binary Neural Networks. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2021).
     
  • 3.
    Podlesny, N.J., Kayem, A.V.D.M., Meinel, C.: GPU Accelerated Bayesian Inference for Quasi-Identifier Discovery in High-Dimensional Data. In: Barolli, L., Woungang, I., and Enokido, T. (eds.) Advanced Information Networking and Applications - Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Toronto, ON, Canada, 12-14 May, 2021, Volume 2. pp. 495–508. Springer (2021).
     
  • A Review of Scaling Genom... - Download
    4.
    Podlesny, N.J., Kayem, A.V.D.M., Meinel, C.: A Review of Scaling Genome Sequencing Data Anonymisation. In: Barolli, L., Woungang, I., and Enokido, T. (eds.) Advanced Information Networking and Applications - Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Toronto, ON, Canada, 12-14 May, 2021, Volume 3. pp. 491–501. Springer (2021).
     
  • 5.
    Mühle, A., Grüner, A., Meinel, C.: Characterising Proxy Usage in the Bitcoin Peer-to-Peer Network. 22nd International Conference on Distributed Computing and Networking (2021).
     
  • 6.
    Ehrmann, L., Stolle, M., Klieme, E., Tietz, C., Meinel, C.: Detecting Interaction Activities While Walking Using Smartphone Sensors. In: Barolli, L., Woungang, I., and Enokido, T. (eds.) Advanced Information Networking and Applications. pp. 382–393. Springer (2021).
     
  • SIEMA: Bringing Advanced ... - Download
    7.
    Najafi, P., Cheng, F., Meinel, C.: SIEMA: Bringing Advanced Analytics to LegacySecurity Information and Event Management. International Conference on Security and Privacy in Communication Networks. Springer (2021).
     
  • Enabling Co-Owned Image P... - Download
    8.
    Motlagh, F.N., Kayem, A.V., Podlesny, N.J., Meinel, C.: Enabling Co-Owned Image Privacy on Social Media via Agent Negotiation. The 23rd International Conference on Information Integration and Web Intelligence. pp. 152–156. Association for Computing Machinery, Linz, Austria (2021).
     
  • 9.
    Yang, H., Shen, Z., Zhao, Y.: AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 2339–2348 (2021).
     
  • NLP-based Entity Behavior... - Download
    10.
    Najafi, P., Koehler, D., Cheng, F., Meinel, C.: NLP-based Entity Behavior Analytics for Malware Detection. 2021 IEEE International Performance, Computing, and Communications Conference (IPCCC). pp. 1–5. IEEE (2021).
     
  • 11.
    Klieme, E., Trenz, P., Paeschke, D., Tietz, C., Meinel, C.: DoorCollect: Towards a Smart Door Handle for User Identification based on a Data Collection System for unsupervised Long-Term Experiments. 2021 IEEE Symposium on Computers and Communications (ISCC). pp. 1–7 (2021).
     
  • 12.
    Koehler, D., Serth, S., Meinel, C.: Consuming Security: Evaluating Podcasts to Promote Online Learning Integrated with Everyday Life. Proceedings of the World Engineering Education Forum (2021).
     
  • 13.
    Hu, T., Meinel, C.: Masked Hard Coverage Mechanism on Pointer-generator Network for Natural Language Generation. ICAART (2). pp. 1177–1183 (2021).
     
  • The Impact of Mobile Lear... - Download
    14.
    Bothe, M., Meinel, C.: The Impact of Mobile Learning on Students’ Self-Test Behavior in MOOCs. Proceedings of the Eighth ACM Conference on Learning @ Scale. pp. 251–254. Association for Computing Machinery, Virtual Event, Germany (2021).
     
  • 15.
    Schmidt, K., Mühle, A., Grüner, A., Meinel, C.: Clear the Fog: Towards a Taxonomy of Self-Sovereign Identity Ecosystem Members. 18th Annual International Conference on Privacy, Security and Trust (PST). , Auckland, New Zealand (2021).
     
  • 16.
    Mühle, A., Grüner, A., Meinel, C.: Gotta Catch’em All! Improving P2P Network Crawling Strategies. 12th International Conference on Digital Forensics and Cybercrime. , Singpore, Singapore (2021).
     
  • 17.
    Kayem, A.V., Podlesny, N.J., Meinel, C.: On Chameleon Pseudonymisation and Attribute Compartmentation-as-a-Service. (2021).
     
  • 18.
    Podlesny, N.J., Kayem, A.V., Meinel, C.: A Review of Scaling Genome Sequencing Data Anonymisation. International Conference on Advanced Information Networking and Applications. pp. 491–501. Springer (2021).
     
  • ATIB: Design and Evaluati... - Download
    19.
    Grüner, A., Mühle, A., Meinel, C.: ATIB: Design and Evaluation of an Architecture for Brokered Self-Sovereign Identity Integration and Trust-Enhancing Attribute Aggregation for Service Provider. IEEE Access. 9, 138553–138570 (2021).
     
  • Analyzing Interoperabilit... - Download
    20.
    Grüner, A., Mühle, A., Meinel, C.: Analyzing Interoperability and Portability Concepts for Self-Sovereign Identity. Proceedings of the 2021 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (accepted). IEEE, Shenyang, China (2021).
     
  • On the Structure and Asse... - Download
    21.
    Grüner, A., Mühle, A., Meinel, C.: On the Structure and Assessment of Trust Models in Attribute Assurance. Proceedings of the 35th International Conference on Advanced Information Networking and Applications. Springer, Toronto, Canada (2021).
     
  • 22.
    Motlagh, F.N., Kayem, A., Podlesny, N.J., Meinel, C.: Enabling Co-Owned Image Privacy on Social Media via Agent Negotiation. The 23rd International Conference on Information Integration and Web Intelligence. pp. 152–156. Association for Computing Machinery, Linz, Austria (2021).
     
  • Consuming Security: Evalu... - Download
    23.
    Koehler, D., Serth, S., Meinel, C.: Consuming Security: Evaluating Podcasts to Promote Online Learning Integrated with Everyday Life. 2021 World Engineering Education Forum/Global Engineering Deans Council (WEEF/GEDC). pp. 476–481. IEEE, Madrid, Spain (2021).
     
  • Improving the Scalability... - Download
    24.
    Serth, S., Köhler, D., Marschke, L., Auringer, F., Hanff, K., Hellenberg, J.-E., Kantusch, T., Paß, M., Meinel, C.: Improving the Scalability and Security of Execution Environments for Auto-Graders in the Context of MOOCs. In: Greubel, A., Strickroth, S., and Striewe, M. (eds.) Proceedings of the Fifth Workshop "Automatische Bewertung von Programmieraufgaben" (ABP 2021). pp. 3–10. Gesellschaft für Informatik e.V. (GI), Virtual Event, Germany (2021).
     
  • 25.
    Hu, T., Yang, H., Meinel, C.: Denoising AutoEncoder Based Delete and Generate Approach for Text Style Transfer. International Conference on Artificial Neural Networks. pp. 41–52. Springer, on-line (2021).
     
  • 26.
    Von Thienen, J., Borchart, K., Jaschek, C., Krebs, E., Hildebrand, J., Rätz, H., Meinel, C.: Leveraging Video Games to Improve IT-Solutions for Remote Work. 2021 IEEE Conference on Games (CoG). pp. 01–08. IEEE Press, Copenhagen, Denmark (2021).
     
  • Impact of Contextual Tips... - Download
    27.
    Serth, S., Teusner, R., Meinel, C.: Impact of Contextual Tips for Auto-Gradable Programming Exercises in MOOCs. Proceedings of the Eighth ACM Conference on Learning @ Scale. pp. 307–310. ACM, Virtual Event, Germany (2021).
     
  • TransPipe - A Pipeline fo... - Download
    28.
    Bethge, J., Serth, S., Staubitz, T., Wuttke, T., Nordemann, O., Das, P.-P., Meinel, C.: TransPipe - A Pipeline for Automated Transcription and Translation of Videos. Proceedings of the 7th European MOOC Stakeholder Summit (EMOOCs 2021). pp. 79–94. Universitätsverlag Potsdam, Potsdam, Germany (2021).
     
  • 29.
    Rahn, V.X., Zhou, L., Klieme, E., Arnrich, B.: Optimal Sensor Placement for Human Activity Recognition with a Minimal Smartphone–IMU Setup. 10th International Conference on Sensor Networks - SENSORNETS 2021 (2021).
     
  • CodeOcean and CodeHarbor:... - Download
    30.
    Serth, S., Staubitz, T., Teusner, R., Meinel, C.: CodeOcean and CodeHarbor: Auto-Grader and Code Repository. In: Shaffer, C., Brusilovsky, P., Koedinger, K., and Edwards, S. (eds.) SPLICE 2021 Workshop CS Education Infrastructure for All III: From Ideas to Practice. p. 5. 52nd ACM Technical Symposium on Computer Science Education, Virtual Event (2021).
     
  • 31.
    Koehler, D., Klieme, E., Kreuseler, M., Cheng, F., Meinel, C.: Assessment of Remote Biometric Authentication Systems: Another Take on the Quest to Replace Passwords. Proceedings of 2021 IEEE 5th International Conference on Cryptography, Security and Privacy (CSP 2021). IEEE (2021).
     
  • 32.
    Koehler, D., Klieme, E., Kreuseler, D., Cheng, F., Meinel, C.: Assessment of Remote Biometric Authentication Systems: Another Take on the Quest to Replace Passwords. Proceedings of 2021 IEEE 5th International Conference on Cryptography, Security and Privacy (CSP 2021). IEEE (2021).
     

2020 [ nach oben ]

  • 1.
    Staubitz, T., Meinel, C.: A Systematic Quantitative and Qualitative Analysis of Participants’ Opinions on Peer Assessment in Surveys and Course Forum Discussions of MOOCs. 2020 IEEE Global Engineering Education Conference (EDUCON). pp. 962–971 (2020).
     
  • openSAP: Learner Behavior... - Download
    2.
    Rohloff, T., Schwerer, F., Schenk, N., Meinel, C.: openSAP: Learner Behavior and Activity in Self-Paced Enterprise MOOCs. Proceedings of the 13th International Conference on E-Learning in the Workplace (ICELW 2020). ICELW (2020).
     
  • 3.
    Bartz, C., Seidel, L., Nguyen, D.-H., Bethge, J., Yang, H., Meinel, C.: Synthetic Data for the Analysis of Archival Documents: Handwriting Determination. 2020 Digital Image Computing: Techniques and Applications (DICTA). pp. 1–8. IEEE (2020).
     
  • 4.
    Bartz, C., Bethge, J., Yang, H., Meinel, C.: One model to reconstruct them all: A novel way to use the stochastic noise in StyleGAN. The British Machine Vision Conference (BMVC) (2020).
     
  • 5.
    Sauder, J., Hu, T., Che, X., Mordido, G., Yang, H., Meinel, C.: Best student forcing: A simple training mechanism in adversarial language generation. Proceedings of the 12th Language Resources and Evaluation Conference. pp. 4680–4688 (2020).
     
  • 6.
    Rezaei, M., Yang, H., Meinel, C.: Recurrent generative adversarial network for learning imbalanced medical image semantic segmentation. Multimedia Tools and Applications. 79, 15329–15348 (2020).
     
  • 7.
    Krebs, E., Jaschek, C., von Thienen, J., Borchart, K.-P., Meinel, C., Kolodny, O.: Designing a Video Game to Measure Creativity. 2020 IEEE Conference on Games (CoG). pp. 407–414 (2020).
     
  • 8.
    Hu, T., Meinel, C.: Text generation in discrete space. International Conference on Artificial Neural Networks. pp. 721–732. Springer (2020).
     
  • 9.
    Alhosseini, S.A., Bin Tareaf, R., Meinel, C.: Engaging with Tweets: The Missing Dataset On Social Media. RecSys Challenge ’20: Proceedings of the Recommender Systems Challenge 2020, Virtual Event Brazil, September, 2020. pp. 34–37. ACM (2020).
     
  • 10.
    Hu, T., Meinel, C.: An Investigation of Fine-tuning Pre-trained Model for MR-to-Text Generation. 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA). pp. 1006–1009. IEEE (2020).
     
  • 11.
    Eslami, S., Adorján, P., Meinel, C.: SehMIC: Semi-hierarchical Multi-label ICD Code Classification. CEUR Workshop Proceedings (2020).
     
  • 12.
    Klieme, E., Wilke, J., van Dornick, N., Meinel, C.: FIDOnuous: A FIDO2/WebAuthn Extension to Support Continuous Web Authentication. 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). pp. 1857–1867 (2020).
     
  • 13.
    Mordido, G., Yang, H., Meinel, C.: microbatchgan: Stimulating diversity with multi-adversarial discrimination. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 3061–3070 (2020).
     
  • 14.
    Tietz, C., Klieme, E., Brabender, R., Lasarow, T., Rambold, L., Meinel, C.: Under Pressure: Pushing Down on Me - Touch Sensitive Door Handle to Identify Users at Room Entry. In: Samarati, P., di Vimercati, S.D.C., Obaidat, M.S., and Ben-Othman, J. (eds.) Proceedings of the 17th International Joint Conference on e-Business and Telecommunications, ICETE 2020 - Volume 2: SECRYPT, Lieusaint, Paris, France, July 8-10, 2020. pp. 565–571. ScitePress (2020).
     
  • 15.
    Bin Tareaf, R., Alhosseini, S.A., Meinel, C.: Does Personality Evolve? A Ten-Years Longitudinal Study from Social Media Platforms. 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking, ISPA/BDCloud/SocialCom/SustainCom 2020, Exeter, UK, December 17-20, 2020. IEEE (2020).
     
  • A Taxonomy of Trust Model... - Download
    16.
    Grüner, A., Mühle, A., Meinel, C.: A Taxonomy of Trust Models for Attribute Assurance in Identity Management. Proceedings of the Workshops of the International 34th Conference on Advanced Information Networking and Applications. Springer, Caserta, Italy (2020).
     
  • On the Potential of Autom... - Download
    17.
    Bothe, M., Meinel, C.: On the Potential of Automated Downloads for MOOC Content on Mobile Devices. 2020 IEEE Learning With MOOCS (LWMOOCS). pp. 58–63 (2020).
     
  • Students’ Satisfaction ... - Download
    18.
    Rohloff, T., von Schmieden, K., Meinel, C.: Students’ Satisfaction of a Design Thinking MOOC with Personalized Learning Objectives. IEEE Learning With MOOCs (LWMOOCS 2020). pp. 37–41. IEEE (2020).
     
  • 19.
    Bethge, J., Bartz, C., Yang, H., Meinel, C.: BMXNet 2: An Open Source Framework for Low-bit Networks-Reproducing, Understanding, Designing and Showcasing. Proceedings of the 28th ACM International Conference on Multimedia. pp. 4469–4472 (2020).
     
  • When Do Learners Rewatch ... - Download
    20.
    Bothe, M., Meinel, C.: When Do Learners Rewatch Videos in MOOCs?. 2020 IEEE Learning With MOOCS (LWMOOCS). pp. 148–151 (2020).
     
  • 21.
    Staubitz, T., Traifeh, H., Chujfi, S., Meinel, C.: Have Your Tickets Ready! Impede Free Riding in Large Scale Team Assignments. Proceedings of the Seventh ACM Conference on Learning @ Scale. pp. 349–352. Association for Computing Machinery, Virtual Event, USA (2020).
     
  • Students’ Achievement o... - Download
    22.
    Rohloff, T., Sauer, D., Meinel, C.: Students’ Achievement of Personalized Learning Objectives in MOOCs. Proceedings of the Seventh ACM Conference on Learning at Scale (L@S 2020). pp. 147–156. Association for Computing Machinery (2020).
     
  • 23.
    Bartz, C., Seidel, L., Nguyen, D.-H., Bethge, J., Yang, H., Meinel, C.: Synthetic Data for the Analysis of Archival Documents: Handwriting Determination. Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA) 2020. , Melbourne, Australia (2020).
     
  • Digitale Arbeitsblätter ... - Download
    24.
    Serth, S., Teusner, R., Meinel, C.: Digitale Arbeitsblätter mit interaktiven Programmieraufgaben im Informatik-Unterricht. In: Zender, R., Ifenthaler, D., Leonhardt, T., and Schumacher, C. (eds.) Lecture Notes in Informatics (LNI) - Proceedings: DELFI 2020 – Die 18. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V. pp. 235–246. Gesellschaft für Informatik e.V. (GI), Bonn, Germany (2020).
     
  • 25.
    Bartz, C., Jain, N., Krestel, R.: Automatic Matching of Paintings and Descriptions in Art-Historic Archives using Multimodal Analysis. 1st International Workshop on Artificial Intelligence for Historical Image Enrichment and Access (AI4HI-2020). pp. 23–28. European Language Resources Association (ELRA), Marseille, France (2020).
     
  • On the Acceptance and Eff... - Download
    26.
    Bothe, M., Renz, J., Meinel, C.: On the Acceptance and Effects of Recapping Self-Test Questions in MOOCs. 2020 IEEE Global Engineering Education Conference (EDUCON). pp. 264–272 (2020).
     

2019 [ nach oben ]

  • 1.
    Podlesny, N.J., Kayem, A.V., Meinel, C.: Towards Identifying De-anonymisation Risks in Distributed Health Data Silos. International Conference on Database and Expert Systems Applications. pp. 33–43. Springer (2019).
     
  • 2.
    von Schmieden, K., Staubitz, T., Mayer, L., Meinel, C.: Skill Confidence Ratings in a MOOC: Examining the Link Between Skill Confidence and Learner Development. Proceedings of the 11th International Conference on Computer Supported Education. pp. 533–40 (2019).
     
  • MalRank: A Measure of Mal... - Download
    3.
    Najafi, P., Mühle, A., Pünter, W., Cheng, F., Meinel, C.: MalRank: A Measure of Maliciousness in SIEM-based Knowledge Graphs. Proceedings of the 35th Annual Computer Security Applications Conference. pp. 417–429. ACM (2019).
     
  • 4.
    Podlesny, N.J., Kayem, A.V., Meinel, C.: Identifying Data Exposure Across Distributed High-Dimensional Health Data Silos through Bayesian Networks Optimised by Multigrid and Manifold. 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). pp. 556–563. IEEE (2019).
     
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  • 9.
    von Schmieden, K., Meinel, C.: Utilizing Warm-Up Games in MOOC Discussion Forums. EMOOCs-WiP. pp. 218–223 (2019).
     
  • 10.
    von Schmieden, K., Mayer, L., Meinel, C.: Learner Response to Brainstorming Techniques in a Design Thinking MOOC. Cumulus Conference Proceedings. pp. 443–455. Cumulus Design Conference (2019).
     
  • A Ubiquitous Learning Ana... - Download
    11.
    Rohloff, T., Renz, J., Suarez, G.N., Meinel, C.: A Ubiquitous Learning Analytics Architecture for a Service-Oriented MOOC Platform. In: Calise, M., Delgado Kloos, C., Reich, J., Ruiperez-Valiente, J.A., and Wirsing, M. (eds.) Digital Education: At the MOOC Crossroads Where the Interests of Academia and Business Converge (EMOOCs 2019). pp. 162–171. Springer International Publishing (2019).
     
  • An Integration Architectu... - Download
    12.
    Grüner, A., Mühle, A., Meinel, C.: An Integration Architecture to Enable Service Providers for Self-sovereign Identity. Proceedings of the 18th. International Symposium on Network Computing and Applications. IEEE, Boston, MA (2019).
     
  • 13.
    Torkura, K. .A, Sukmana, M.I.H., Cheng, F., Meinel, C.: Security Chaos Engineering for Cloud Services. The Proceedings of 18th IEEE International Symposium on Network Computing and Applications (NCA 2019). IEEE (2019).
     
  • 14.
    Podlesny, N.J., Kayem, A.V., Meinel, C., Jungmann, S.: How Data Anonymisation Techniques influence Disease Triage in Digital Health: A Study on Base Rate Neglect. Proceedings of the 9th International Conference on Digital Public Health. pp. 55–62. ACM (2019).
     
  • Student Perception of a L... - Download
    15.
    Rohloff, T., Sauer, D., Meinel, C.: Student Perception of a Learner Dashboard in MOOCs to Encourage Self-Regulated Learning. IEEE International Conference on Engineering, Technology and Education (TALE 2019). IEEE (2019).
     
  • A Quantitative Study on t... - Download
    16.
    Bothe, M., Rohloff, T., Meinel, C.: A Quantitative Study on the Effects of Learning with Mobile Devices in MOOCs. 2019 IEEE International Conference on Engineering, Technology and Education (TALE). pp. 1–7 (2019).
     
  • 17.
    Tietz, C., Klieme, E., Behrendt, L., Böning, P., Marschke, L., Meinel, C.: Verification of Keyboard Acoustics Authentication on Laptops and Smartphones Using WebRTC. 2019 3rd Cyber Security in Networking Conference (CSNet). pp. 130–137 (2019).
     
  • 18.
    Bartz, C., Yang, H., Bethge, J., Meinel, C.: LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks. In: Carneiro, G. and You, S. (eds.) Computer Vision -- ACCV 2018 Workshops. pp. 341–356. Springer International Publishing, Perth, Australia (2019).
     
  • 19.
    Rezaei, M., Yang, H., Harmuth, K., Meinel, C.: Conditional generative adversarial refinement networks for unbalanced medical image semantic segmentation. 2019 IEEE winter conference on applications of computer vision (WACV). pp. 1836–1845. IEEE (2019).
     
  • 20.
    Staubitz, T., Meinel, C.: Graded Team Assignments in MOOCs: Effects of Team Composition and Further Factors on Team Dropout Rates and Performance. Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale. pp. 5:1–5:10. ACM, Chicago, IL, USA (2019).
     
  • 21.
    von Schmieden, K., Mayer, L., Taheri, M., Meinel, C.: Iterative course design in MOOCs: Evaluating a protoMOOC. Proceedings of the Design Society: International Conference on Engineering Design. pp. 539–548. Cambridge University Press (2019).
     
  •  
  • A Comparative Analysis of... - Download
    23.
    Grüner, A., Mühle, A., Gayvoronskaya, T., Meinel, C.: A Comparative Analysis of Trust Requirements in Decentralized Identity Management. Proceedings of the 33rd. International Conference on Advanced Information Networking and Applications. Springer, Matsue, Japan (2019).
     
  • 24.
    Podlesny, N.J., Kayem, A.V., Meinel, C.: Attribute Compartmentation and Greedy UCC Discovery for High-Dimensional Data Anonymization. Proceedings of the Ninth ACM Conference on Data and Application Security and Privacy. pp. 109–119. ACM (2019).
     
  • 25.
    von Schmieden, K., Staubitz, T., Mayer, L., Meinel, C.: Skill Confidence Ratings in a MOOC: Examining the Link between Skill Confidence and Learner Development. CSEDU (2019).
     
  •  
  • 27.
    Podlesny, N.J.: High-dimensional data anonymization for in-memory applications, (2019).
     
  • Applied Mobile-Assisted S... - Download
    28.
    Bothe, M., Meinel, C.: Applied Mobile-Assisted Seamless Learning Techniques in MOOCs. In: Calise, M., Delgado Kloos, C., Reich, J., Ruiperez-Valiente, J.A., and Wirsing, M. (eds.) Digital Education: At the MOOC Crossroads Where the Interests of Academia and Business Converge. pp. 21–30. Springer International Publishing, Cham (2019).
     
  • 29.
    Torkura, K. .A, Sukmana, M.I.H., Cheng, F., Meinel, C.: SlingShot: Automated Threat Detection and Incident Response in Multi-Cloud Storage Systems. The Proceedings of 18th IEEE International Symposium on Network Computing and Applications (NCA 2019). IEEE (2019).
     
  • Utilizing Web Analytics i... - Download
    30.
    Rohloff, T., Oldag, S., Renz, J., Meinel, C.: Utilizing Web Analytics in the Context of Learning Analytics for Large-Scale Online Learning. IEEE Global Engineering Education Conference (EDUCON 2019). pp. 296–305. IEEE (2019).
     
  • Using Probabilistic Attri... - Download
    31.
    Grüner, A., Mühle, A., Meinel, C.: Using Probabilistic Attribute Aggregation for Increasing Trust in Attribute Assurance. Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence in Cyber Security. IEEE, Xiamen, China (2019).
     
  • On the Acceptance and Use... - Download
    32.
    Rohloff, T., Sauer, D., Meinel, C.: On the Acceptance and Usefulness of Personalized Learning Objectives in MOOCs. Proceedings of the Sixth ACM Conference on Learning at Scale (L@S 2019). pp. 4:1–4:10. Association for Computing Machinery (2019).
     
  • 33.
    Rezaei, M., Yang, H., Meinel, C.: Learning Imbalanced Semantic Segmentation through Cross-Domain Relations of Multi-Agent Generative Adversarial Networks. SPIE Medical Imaging - Computer Aided Diagnosis (SPIE 2019) (2019).
     
  • 34.
    Seidel, F., Krentz, K.-F., Meinel, C.: Deep En-Route Filtering of Constrained Application Protocol (CoAP) Messages on 6LoWPAN Border Routers. Proceedings of the IEEE 5th World Forum on Internet of Things (WF-IoT). IEEE, Limerick, Ireland (2019).
     
  • 35.
    Bock, B., Matysik, J.-T., Krentz, K.-F., Meinel, C.: Link Layer Key Revocation and Rekeying for the Adaptive Key Establishment Scheme. Proceedings of the IEEE 5th World Forum on Internet of Things (WF-IoT). IEEE, Limerick, Ireland (2019).
     
  • Visualizing Content Explo... - Download
    36.
    Rohloff, T., Bothe, M., Meinel, C.: Visualizing Content Exploration Traces of MOOC Students. Companion Proceedings of the 9th International Conference on Learning Analytics & Knowledge (LAK 2019). pp. 754–758. SoLAR (2019).
     
  • 37.
    Bethge, J., Yang, H., Bornstein, M., Meinel, C.: BinaryDenseNet: Developing an Architecture for Binary Neural Networks. The IEEE International Conference on Computer Vision (ICCV) Workshops (2019).
     
  • Integrating Professional ... - Download
    38.
    Serth, S.: Integrating Professional Tools in Programming Education with MOOCs. Proceedings of the 2019 IEEE Frontiers in Education Conference (FIE). IEEE (2019).
     
  • Evaluating Digital Worksh... - Download
    39.
    Serth, S., Teusner, R., Renz, J., Uflacker, M.: Evaluating Digital Worksheets with Interactive Programming Exercises for K-12 Education. Proceedings of the 2019 IEEE Frontiers in Education Conference (FIE). IEEE (2019).
     
  • 40.
    Traifeh, H., Staubitz, T., Meinel, C.: Improving learner experience and participation in MOOCs: A design thinking approach. 2019 Learning With MOOCS (LWMOOCS) (2019).
     
  • 41.
    John, C.T., Staubitz, T., Meinel, C.: Performance of Men and Women in Graded Team Assignments in MOOCs. 2019 Learning With MOOCS (LWMOOCS) (2019).
     
  • 42.
    John, C.T., Staubitz, T., Meinel, C.: Took a MOOC. Got a Certificate. What now?. 2019 IEEE Frontiers in Education Conference (FIE) (2019).
     
  • 43.
    Bethge, J., Yang, H., Meinel, C.: Training Accurate Binary Neural Networks from Scratch. 2019 26th IEEE International Conference on Image Processing (ICIP) (2019).
     
  • Individual Worksheets wit... - Download
    44.
    Serth, S.: Individual Worksheets with Interactive Programming Exercises within the HPI Schul-Cloud. Master’s Thesis. Hasso Plattner Institute, University of Potsdam (2019).
     
  • 45.
    Staubitz, T., Teusner, R., Meinel, C.: MOOCs in Secondary Education - Experiments and Observations from German Classrooms. 2019 IEEE Global Engineering Education Conference (EDUCON). pp. 173–182 (2019).
     
  • From MOOCs to Micro Learn... - Download
    46.
    Bothe, M., Renz, J., Rohloff, T., Meinel, C.: From MOOCs to Micro Learning Activities. 2019 IEEE Global Engineering Education Conference (EDUCON). pp. 280–288 (2019).
     

2018 [ nach oben ]

  • 1.
    Bin Tareaf, R., Berger, P., Hennig, P., Meinel, C.: ASEDS: Towards Automatic Social Emotion Detection System Using Facebook Reactions. 2018 IEEE 20th International Conference on High Performance Computing and Communications. pp. 860–866. IEEE Press, Exeter, UK (2018).
     
  • Team based assignments in... - Download
    2.
    Staubitz, T., Meinel, C.: Team based assignments in MOOCs: results and observations. Proceedings of the Fifth Annual ACM Conference on Learning at Scale, London, UK, June 26-28, 2018. pp. 47:1–47:4 (2018).
     
  • 3.
    Torkura, K. .A, Sukmana, M.I.H., Meinig, M., Kayem, A., Cheng, F., Graupner, H., Meinel, C.: Securing Cloud Storage Brokerage Systems through Threat Models. The 32nd IEEE International Conference on Advanced Information Networking and Applications (AINA 2018). IEEE (2018).
     
  • 4.
    Torkura, K. .A, Sukmana, M.I.H., Cheng, F., Meinel, C.: CAVAS: Neutralizing Application and Container Security Vulnerabilities in the Cloud Native Era. 14th EAI International Conference on Security and Privacy in Communication Networks (SecureComm 2018). Springer (2018).
     
  • Towards Personalized Lear... - Download
    5.
    Rohloff, T., Meinel, C.: Towards Personalized Learning Objectives in MOOCs. In: Pammer-Schindler, V., Pérez-Sanagustín, M., Drachsler, H., Elferink, R., and Scheffel, M. (eds.) Lifelong Technology-Enhanced Learning (EC-TEL 2018). pp. 202–215. Springer International Publishing (2018).
     
  • OpenWHO: Integrating Onli... - Download
    6.
    Rohloff, T., Utunen, H., Renz, J., Zhao, Y., Gamhewage, G., Meinel, C.: OpenWHO: Integrating Online Knowledge Transfer into Health Emergency Response. In: Dimitrova, V., Praharaj, S., Fominykh, M., and Drachsler, H. (eds.) Practitioner Proceedings of the 13th European Conference On Technology Enhanced Learning (EC-TEL 2018). CEUR-WS.org (2018).
     
  • 7.
    Torkura, K. .A, Sukmana, M.I.H., Kayem, A.V., Cheng, F., Meinel, C.: A Cyber Risk Based Moving Target Defense Mechanism for Microservice Architectures. 32nd IEEE International Symposium on Parallel and Distributed Processing with Applications. IEEE (2018).
     
  • 8.
    Rezaei, M., Yang, H., Meinel, C.: Whole Heart and Great Vessel Segmentation with Context-aware of Generative Adversarial Networks. In: Maier, A.K., Deserno, and T.M., Handels, and H., and Klaus Hermann Maier-Hein, Palm, and C., and Tolxdorff, and T. (eds.) Bildverarbeitung für die Medizin 2018. pp. 353–358. Springer (2018).
     
  • Towards a Better Understa... - Download
    9.
    Rohloff, T., Bothe, M., Renz, J., Meinel, C.: Towards a Better Understanding of Mobile Learning in MOOCs. IEEE Learning with MOOCs Conference (LWMOOCs 2018). IEEE (2018).
     
  • 10.
    Teusner, R., Hille, T., Staubitz, T.: Effects of Automated Interventions in Programming Assignments: Evidence from a Field Experiment. L@S 2018: Fifth Annual ACM Conference on Learning at Scale (2018).
     
  • 11.
    Torkura, K.A., Sukmana, M.I., Meinig, M., Graupner, H., Cheng, F., Meinel, C.: A Threat Modeling Approach for Cloud Storage Brokerage and File Sharing Systems. 16th IEEE/IFIP Network Operations and Management Symposium (NOMS 2018). IEEE/IFIP (2018).
     
  • 12.
    Teusner, R., Matthies, C., Staubitz, T.: What Stays in Mind? - Retention Rates in Programming MOOCs. 2018 IEEE Frontiers in Education Conference (FIE) (2018).
     
  • 13.
    Sianipar, J., Sukmana, M., Meinel, C.: Moving Sensitive Data Against Live Memory Dumping, Spectre and Meltdown Attacks. Presented at the (2018).
     
  • 14.
    Rezaei, M., Yang, H., Meinel, C.: Whole heart and great vessel segmentation with context-aware of generative adversarial networks. Bildverarbeitung für die Medizin 2018. pp. 353–358. Springer (2018).
     
  • 15.
    Bartz, C., Yang, H., Meinel, C.: SEE: towards semi-supervised end-to-end scene text recognition. Proceedings of the AAAI Conference on Artificial Intelligence (2018).
     
  • 16.
    Sianipar, J., Willems, C., Meinel, C.: Virtual Machine Integrity Verification in Crowd-Resourcing Virtual Laboratory. Presented at the (2018).
     
  • 17.
    Mühle, A., Grüner, A., Gayvoronskaya, T., Meinel, C.: A survey on essential components of a self-sovereign identity. Computer Science Review. 30, 80–86 (2018).
     
  • 18.
    Bartz, C., Yang, H., Bethge, J., Meinel, C.: LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks. Asian Conference on Computer Vision. pp. 341–356. Springer (2018).
     
  • 19.
    Rezaei, M., Yang, H., Meinel, C.: voxel-GAN: Adversarial Framework for Learning Imbalanced Brain Tumor Segmentation. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Fourth International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 14, 2018, Revised Selected Papers. Springer (2018).
     
  • 20.
    Krentz, K.-F., Meinel, C., Graupner, H.: Denial-of-Sleep-Resilient Session Key Establishment for IEEE 802.15.4 Security: From Adaptive to Responsive. Proceedings of the International Conference on Embedded Wireless Systems and Networks (EWSN 2018). Junction, Madrid, Spain (2018).
     
  • 21.
    Rezaei, M., Harmuth, K., Gierke, W., Kellermeier, T., Fischer, M., Yang, H., Meinel, C.: A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor. Springer (2018).
     
  • 22.
    Bin Tareaf, R., Berger, P., Hennig, P., Meinel, C.: Malicious Behaviour Identification in Online Social Networks. Springer - IFIP International Conference on Distributed Applications and Interoperable Systems. p. 18. Springer LNCS, Madrid, Spain (2018).
     
  • 23.
    Rezaei, M., Yang, H., Meinel, C.: Generative Adversarial Framework for Learning Multiple Clinical Tasks. Digital Image Computing: Techniques and Applications (DICTA-2018) (2018).
     
  • 24.
    Mordido, G., Yang, H., Meinel, C.: Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators. KDD2018 (2018).
     
  • A Quantifiable Trust Mode... - Download
    25.
    Grüner, A., Mühle, A., Gayvoronskaya, T., Meinel, C.: A Quantifiable Trust Model for Blockchain-Based Identity Management. Proceedings of the 2018 International Conference on Blockchain. IEEE, Halifax, Canada (2018).
     
  • Towards a Blockchain-base... - Download
    26.
    Grüner, A., Mühle, A., Gayvoronskaya, T., Meinel, C.: Towards a Blockchain-based Identity Provider. Proceedings of the 12th. International Conference on Emerging Security Information, Systems and Technologies. IARIA, Venice, Italy (2018).
     
  • 27.
    Shams, A., Bin Tareaf, R., Renz, J., Meinel, C.: Smart MOOC-Social Computing for Learning and Knowledge Sharing. Proceedings of the 10th International Conference on Computer Supported Education, CSEDU 2018, Funchal, Madeira, Portugal, March 15-17, 2018, Volume 2. pp. 391–396. , Capr Town, South Africa (2018).
     
  • 28.
    Bartz, C., Yang, H., Bethge, J., Meinel, C.: Loans: Weakly supervised object detection with localizer assessor networks. Asian Conference on Computer Vision. pp. 341–356. Springer (2018).
     
  • 29.
    Torkura, K. .A, Sukmana, M.I.H., Tim, S., Cheng, F., Graupner, H., Meinel, C.: CSBAuditor: Proactive Security Risk Analysis for Cloud Storage Broker Systems. The Proceedings of 17th IEEE International Symposium on Network Computing and Applications (NCA 2018). IEEE (2018).
     
  • 30.
    Podlesny, N.J., Kayem, A.V., von Schorlemer, S., Uflacker, M.: Minimising Information Loss on Anonymised High Dimensional Data with Greedy In-Memory Processing. International Conference on Database and Expert Systems Applications. pp. 85–100. Springer (2018).
     
  • 31.
    Rezaei, M., Yang, H., Meinel, C.: Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation. 2019 IEEE Winter Application Computer Vision (2018).
     
  • 32.
    Traifeh, H., Bin Tareaf, R., Meinel, C.: Challenges and Opportunities in Digital Learning: Perspectives from the Arab World. British Association for International & Comparative Education, BAICE 2018. BAICE UK, University of York, UK (2018).
     
  • 33.
    Torkura, K. .A, Sukmana, M.I.H., Tim, S., Cheng, F., Graupner, H., Meinel, C.: Defeating Malicious Intrusions in Multi-Cloud Storage Systems. Proceedings of the 6th HPI Cloud Symposium “Operating the Cloud” 2018. Hasso Plattner Institute, Potsdam, Germany (2018).
     
  • 34.
    Bartz, C., Yang, H., Meinel, C.: SEE: towards semi-supervised end-to-end scene text recognition. Thirty-Second AAAI Conference on Artificial Intelligence (2018).
     
  • 35.
    Rezaei, M., Yang, H., Meinel, C.: voxel-GAN: adversarial framework for learning imbalanced brain tumor segmentation. International MICCAI Brainlesion Workshop. pp. 321–333. Springer (2018).
     
  • 36.
    Rezaei, M., Yang, H., Meinel, C.: Instance tumor segmentation using multitask convolutional neural network. 2018 International Joint Conference on Neural Networks (IJCNN). pp. 1–8. IEEE (2018).
     
  • 37.
    Rezaei, M., Yang, H., Meinel, C.: Automatic Cardiac MRI Segmentation via Context-aware Recurrent Generative Adversarial Neural Network. Computer Assisted Radiology and Surgery (CARS 2018) (2018).
     
  • 38.
    Rezaei, M., Yang, H., Meinel, C.: Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data. arXiv preprint arXiv:1811.10419 (2018).
     
  • 39.
    Rezaei, M., Yang, H., Meinel, C.: Instance Tumor Segmentation using Multitask Convolutional Neural Network. 2018 International Joint Conference on Neural Networks (IJCNN). pp. 1–8. IEEE (2018).
     
  • Collaborative Learning in... - Download
    40.
    Staubitz, T., Meinel, C.: Collaborative Learning in MOOCs - Approaches and Experiments. 2018 IEEE Frontiers in Education Conference (FIE). IEEE (2018).
     
  • Team-Based Assignments in... - Download
    41.
    Staubitz, T., Traifeh, H., Meinel, C.: Team-Based Assignments in MOOCs - User Feedback. 2018 Learning With MOOCS (LWMOOCS). pp. 39–42 (2018).
     
  • Flexible, Self-Directed a... - Download
    42.
    Friedl, C., Staubitz, T., Jansen, D.: Flexible, Self-Directed and Bottom-Up: Are Employees Overtaking Their Human Resource Departments with MOOCs?. 2018 Learning With MOOCS (LWMOOCS). pp. 66–69 (2018).
     
  • 43.
    Klieme, E., Tietz, C., Meinel, C.: Beware of SMOMBIES: Verification of Users Based on Activities While Walking. 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). pp. 651–660 (2018).
     
  • VAMO – What Story Do Yo... - Download
    44.
    Cabral, F., Shah, S., Zhou, Z., Serth, S., Krogmann, S., Lötzsch, W.: VAMO – What Story Do You Want to Tell?. Stanford University (2018).
     

2017 [ nach oben ]

  • 1.
    Yang, H., Fritzsche, M., Bartz, C., Meinel, C.: Bmxnet: An open-source binary neural network implementation based on mxnet. Proceedings of the 25th ACM international conference on Multimedia (2017).
     
  • 2.
    Meinel, C., Renz, J., Grella, C., Karn, N., Hagedorn, C.: Die Cloud für Schulen in Deutschland. Konzept und Pilotierung der Schul-Cloud. Technische Berichte des Hasso-Plattner-Instituts für Softwaresystemtechnik an der Universität Potsdam. 56 (2017).
     
  • 3.
    Kayem, A., Meinel, C., Wolthusen, S.: A Smart Micro-Grid Architecture for Resource Constrained Environments. Proceedings, 31st International Conference on Advanced Information Networking and Applications (AINA 2017), Taipei, Taiwan. IEEE (2017).
     
  • 4.
    Krentz, K.-F., Meinel, C., Graupner, H.: More Lightweight, yet Stronger 802.15.4 Security through an Intra-Layer Optimization. Proceedings of the 10th International Symposium on Foundations & Practice of Security (FPS 2017). Springer, Nancy, France (2017).
     
  • 5.
    Grella, C.T., Staubitz, T., Teusner, R., Meinel, C.: Can MOOCs Support Secondary Education in Computer Science?. In: Auer, M.E., Guralnick, D., and Uhomoibhi, J. (eds.) Interactive Collaborative Learning. pp. 478–493. Springer International Publishing, Cham (2017).
     
  • 6.
    Torkura, K.A., Sukmana, M.I., Meinel, C.: Integrating Continuous Security Assessments in Microservices and Cloud Native Applications. Proceedings of the10th International Conference on Utility and Cloud Computing. pp. 171–180. ACM (2017).
     
  • Supporting Multi-Device E... - Download
    7.
    Rohloff, T., Renz, J., Bothe, M., Meinel, C.: Supporting Multi-Device E-Learning Patterns with Second Screen Mobile Applications. Proceedings of the 16th World Conference on Mobile and Contextual Learning (mLearn 2017). pp. 25:1–25:8. Association for Computing Machinery (2017).
     
  • openHPI's Coding Tool Fam... - Download
    8.
    Staubitz, T., Teusner, R., Meinel, C.: openHPI’s Coding Tool Family: CodeOcean, CodeHarbor, CodePilot. Automatische Bewertung von Programmieraufgaben (ABP) (2017).
     
  • 9.
    Bartz, C., Herold, T., Yang, H., Meinel, C.: Language identification using deep convolutional recurrent neural networks. International conference on neural information processing. pp. 880–889. Springer (2017).
     
  • 10.
    Seitz, K., Serth, S., Krentz, K.-F., Meinel, C.: Demo: Enabling En-Route Filtering for End-to-End Encrypted CoAP Messages. 15th ACM Conference on Embedded Networked Sensor Systems (SenSys 2017). ACM, Delft, The Netherlands (2017).
     
  • 11.
    Che, X., Luo, S., Yang, H., Meinel, C.: Automatic lecture subtitle generation and how it helps. 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT). pp. 34–38. IEEE (2017).
     
  • 12.
    Rezaei, M., Yang, H., Meinel, C.: Deep Neural Network with l2-norm Unit for Brain Lesions Detection. International Conference on Neural Information Processing. Springer (2017).
     
  • 13.
    Rezaei, M., Yang, H., Meinel, C.: Deep Neural Network with l2-Norm Unit for Brain Lesions Detection. Springer (2017).
     
  • 14.
    Teusner, R., Wittstruck, N., Staubitz, T.: Video Conferencing as a Peephole to MOOC Participants. 2017 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE). IEEE (2017).
     
  • 15.
    Bethge, J., Hahn, S., Döllner, J.: Improving Layout Quality by Mixing Treemap-Layouts Based on Data-Change Characteristics. In: Hullin, M., Klein, R., Schultz, T., and Yao, A. (eds.) Vision, Modeling & Visualization. The Eurographics Association (2017).
     
  • 16.
    Staubitz, T., Meinel, C.: Collaboration and Teamwork on a MOOC Platform - A Toolset. In Proceedings of ACM Learning at Scale Conference (L@S2017)(ACM), accepted as WIP. ACM (2017).
     
  • 17.
    Sianipar, J., Willems, C., Meinel, C.: Signed URL for an Isolated Web Server in a Virtual Laboratory. Proceedings of the 9th International Conference on Education Technology and Computers, ICETC 2017, Barcelona, Spain, December 20-22, 2017. pp. 218–222 (2017).
     
  • 18.
    Che, X., Ring, N., Raschkowski, W., Yang, H., Meinel, C.: Traversal-free word vector evaluation in analogy space. Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP. pp. 11–15 (2017).
     
  • 19.
    Krentz, K.-F., Meinel, C., Graupner, H.: Secure Self-Seeding with Power-Up SRAM States. Proceedings of the 22nd IEEE Symposium on Computers and Communications (ISCC 2017). IEEE, Heraklion, Greece (2017).
     
  • 20.
    Rezaei, M., Harmuth, K., Gierke, W., Kellermeier, T., Fischer, M., Yang, H., Meinel, C.: A conditional adversarial network for semantic segmentation of brain tumor. International MICCAI Brainlesion Workshop. pp. 241–252. Springer (2017).
     
  • 21.
    Bartz, C., Herold, T., Yang, H., Meinel, C.: Language Identification Using Deep Convolutional Recurrent Neural Networks. International Conference on Neural Information Processing. Springer (2017).
     
  • 22.
    Bin Tareaf, R., Berger, P., Hennig, P., Jung, J., Meinel, C.: Identifying Audience Attributes - Predicting Age, Gender and Personality for Enhanced Article Writing. ACM - International Conference on Cloud and Big Data Computing. pp. 79–88. ACM Press, London, UK (2017).
     
  • 23.
    Krentz, K.-F., Meinel, C., Graupner, H.: Secure Self-Seeding with Power-Up SRAM States. IEEE Symposium on Computers and Communications (ISCC 2017). IEEE, Heraklion, Greece (2017).
     
  • 24.
    Serth, S., Podlesny, N.J., Bornstein, M., Lindemann, J., Latt, J., Selke, J., Schlosser, R., Boissier, M., Uflacker, M.: An interactive platform to simulate dynamic pricing competition on online marketplaces. 2017 IEEE 21st International Enterprise Distributed Object Computing Conference (EDOC). pp. 61–66. IEEE (2017).
     
  • 25.
    Gawron, M., Cheng, F., Meinel, C.: Automatic Vulnerability Classification using Machine Learning. Proceedings of the 12th International Conference on Risks and Security of Internet and Systems (CRiSIS 2017). Springer (2017).
     
  • Guilt-by-Association: Det... - Download
    26.
    Najafi, P., Sapegin, A., Cheng, F., Meinel, C.: Guilt-by-Association: Detecting Malicious Entities via Graph Mining. International Conference on Security and Privacy in Communication Systems. pp. 88–107. Springer (2017).
     
  • 27.
    Sianipar, J., Willems, C., Meinel, C.: Team Placement in Crowd-Resourcing Virtual Laboratory for IT Security e-Learning. Proceedings of the 2017 International Conference on Cloud and Big Data Computing, ICCBDC 2017, London, United Kingdom, September 17 - 19, 2017. pp. 60–66 (2017).
     
  • 28.
    Mayer, L., von Schmieden, K., Taheri, M., Meinel, C.: Supporting Design Thinking Education in Organizations With Digital Learning Units – A Testing Set-Up. Presented at the (2017).
     
  • Collaboration and Teamwor... - Download
    29.
    Staubitz, T., Meinel, C.: Collaboration and Teamwork on a MOOC Platform: A Toolset. Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale. pp. 165–168. ACM, Cambridge, Massachusetts, USA (2017).
     
  • Juggling Doctor and Patie... - Download
    30.
    Perlich, A., Meinel, C.: Juggling Doctor and Patient Needs in Mental Health Record Design. Informatics Empowers Healthcare Transformation (2017).
     
  • Automatisierte Qualitäts... - Download
    31.
    Renz, J., Rohloff, T., Meinel, C.: Automatisierte Qualitätssicherung in MOOCs durch Learning Analytics. In: Ullrich, C. and Wessner, M. (eds.) Joint Proceedings of the Pre-Conference Workshops of DeLFI and GMW 2017. CEUR-WS.org (2017).
     
  • 32.
    Yang, H., Fritzsche, M., Bartz, C., Meinel, C.: BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet. Proceedings of the 2017 ACM on Multimedia Conference. ACM, New York, NY, USA (2017).
     
  • 33.
    Boissier, M., Schlosser, R., Podlesny, N., Serth, S., Bornstein, M., Latt, J., Lindemann, J., Selke, J., Uflacker, M.: Data-driven repricing strategies in competitive markets: An interactive simulation platform. Proceedings of the Eleventh ACM Conference on Recommender Systems. pp. 355–357. ACM (2017).
     
  • 34.
    Rezaei, M., Yang, H., Meinel, C.: Deep neural network with l2-norm unit for brain lesions detection. International Conference on Neural Information Processing. pp. 798–807. Springer (2017).
     
  • 35.
    Krentz, K.-F., Meinel, C., Graupner, H.: Countering Three Denial-of-Sleep Attacks on ContikiMAC. Proceedings of the International Conference on Embedded Wireless Systems and Networks (EWSN 2017). Junction, Uppsala, Sweden (2017).
     
  • 36.
    Bin Tareaf, R., Berger, P., Hennig, P., Koall, S., Kohstall, J., Meinel, C.: Information Propagation Speed and Patterns in Social Networks: a Case Study Analysis of German Tweets. JCP 2018. pp. 761–770. ACM & Journal of Computer (ISSN: 1796-203X), Jeju Island, South Korea (2017).
     
  • 37.
    Bartz, C., Herold, T., Yang, H., Meinel, C.: Language Identification Using Deep Convolutional Recurrent Neural Networks. In: Liu, D., Xie, S., Li, Y., Zhao, D., and El-Alfy, E.-S.M. (eds.) Neural Information Processing. pp. 880–889. Springer International Publishing, Guangzhou, China (2017).
     
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    38.
    Staubitz, T., Teusner, R., Meinel, C.: Towards a Repository for Open Auto-Gradable Programming Exercises. 2017 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) (2017).
     
  • 39.
    Torkura, K.A., Sukmana, M.I., Cheng, F., Meinel, C.: Leveraging Cloud Native Design Patterns for Security-as-a-Service Applications. Proceedings of the 2nd IEEE International Conference on Smart Cloud (SmartCloud). IEEE (2017).