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 ]

  • De-anonymising individual... - Download
    1.
    Podlesny, N.J., Kayem, A.V., Meinel, C.: De-anonymising individuals through unique patterns in movement data. Computing Conference 2023 (2023).
     
  • 2.
    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 ]

  • 1.
    Bartz, C., Raetz, H., Otholt, J., Meinel, C., Yang, H.: Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data. 2022 26th International Conference on Pattern Recognition (ICPR).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).
     
  • A Study about Future Pros... - Download
    2.
    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).
     
  • Video Consumption with Mo... - Download
    3.
    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).
     
  • 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).
     
  • CoK: A Survey of Privacy ... - Download
    5.
    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).
     
  • 6.
    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).
     
  • 7.
    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).
     
  • 8.
    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).
     
  • 9.
    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).
     
  • 10.
    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 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.
    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).
     
  • 2.
    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).
     
  • 3.
    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).
     
  • MeliusNet: An Improved Ne... - Download
    4.
    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).
     
  • 5.
    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).
     
  • 6.
    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).
     
  • 7.
    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
    8.
    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).
     
  • 9.
    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).
     
  • SIEMA: Bringing Advanced ... - Download
    10.
    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).
     
  • 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).
     
  • NLP-based Entity Behavior... - Download
    12.
    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).
     
  • 13.
    Hu, T., Meinel, C.: Masked Hard Coverage Mechanism on Pointer-generator Network for Natural Language Generation. ICAART (2). pp. 1177–1183 (2021).
     
  • ATIB: Design and Evaluati... - Download
    14.
    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).
     
  • The Impact of Mobile Lear... - Download
    15.
    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).
     
  • 16.
    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).
     
  • On the Structure and Asse... - Download
    17.
    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).
     
  • Analyzing Interoperabilit... - Download
    18.
    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).
     
  • 19.
    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).
     
  • Enabling Co-Owned Image P... - Download
    20.
    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).
     
  • 21.
    Kayem, A.V., Podlesny, N.J., Meinel, C.: On Chameleon Pseudonymisation and Attribute Compartmentation-as-a-Service. (2021).
     
  • 22.
    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).
     
  • 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).
     
  • CodeOcean and CodeHarbor:... - Download
    29.
    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).
     
  • 30.
    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).
     
  • 31.
    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).
     
  • 32.
    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).
     

2020 [ nach oben ]

  • 1.
    Eslami, S., Adorján, P., Meinel, C.: SehMIC: Semi-hierarchical Multi-label ICD Code Classification. CEUR Workshop Proceedings (2020).
     
  • 2.
    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).
     
  • 3.
    Hu, T., Meinel, C.: Text generation in discrete space. International Conference on Artificial Neural Networks. pp. 721–732. Springer (2020).
     
  • 4.
    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).
     
  • 5.
    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).
     
  • 6.
    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).
     
  • 7.
    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).
     
  • 8.
    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).
     
  • 9.
    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).
     
  • 10.
    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).
     
  • 11.
    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).
     
  • When Do Learners Rewatch ... - Download
    12.
    Bothe, M., Meinel, C.: When Do Learners Rewatch Videos in MOOCs?. 2020 IEEE Learning With MOOCS (LWMOOCS). pp. 148–151 (2020).
     
  • 13.
    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
    14.
    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
    15.
    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
    16.
    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).
     
  • 17.
    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).
     
  • 18.
    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
    19.
    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).
     
  • openSAP: Learner Behavior... - Download
    20.
    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).
     
  • 21.
    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).
     
  • 22.
    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).
     
  • 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.
    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).
     
  • 2.
    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).
     
  • A Ubiquitous Learning Ana... - Download
    3.
    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).
     
  • 4.
    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).
     
  • Utilizing Web Analytics i... - Download
    5.
    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).
     
  • 6.
    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).
     
  • 7.
    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).
     
  • On the Acceptance and Use... - Download
    8.
    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).
     
  • An Integration Architectu... - Download
    9.
    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).
     
  • A Quantitative Study on t... - Download
    10.
    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).
     
  •  
  • 12.
    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).
     
  • 13.
    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).
     
  •  
  • 15.
    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).
     
  • 16.
    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).
     
  • 17.
    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).
     
  • 18.
    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).
     
  • MalRank: A Measure of Mal... - Download
    19.
    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).
     
  • 20.
    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).
     
  •  
  •  
  • 23.
    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).
     
  • 24.
    Podlesny, N.J.: High-dimensional data anonymization for in-memory applications, (2019).
     
  • 25.
    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).
     
  • 26.
    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).
     
  • 27.
    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).
     
  •  
  • Applied Mobile-Assisted S... - Download
    29.
    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).
     
  • Using Probabilistic Attri... - Download
    30.
    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).
     
  • A Comparative Analysis of... - Download
    31.
    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).
     
  • Visualizing Content Explo... - Download
    32.
    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).
     
  • Student Perception of a L... - Download
    33.
    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).
     
  • 34.
    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).
     
  • 35.
    von Schmieden, K., Meinel, C.: Utilizing Warm-Up Games in MOOC Discussion Forums. EMOOCs-WiP. pp. 218–223 (2019).
     
  •  
  • Evaluating Digital Worksh... - Download
    37.
    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).
     
  • 38.
    John, C.T., Staubitz, T., Meinel, C.: Took a MOOC. Got a Certificate. What now?. 2019 IEEE Frontiers in Education Conference (FIE) (2019).
     
  • 39.
    John, C.T., Staubitz, T., Meinel, C.: Performance of Men and Women in Graded Team Assignments in MOOCs. 2019 Learning With MOOCS (LWMOOCS) (2019).
     
  • 40.
    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).
     
  • 41.
    Traifeh, H., Staubitz, T., Meinel, C.: Improving learner experience and participation in MOOCs: A design thinking approach. 2019 Learning With MOOCS (LWMOOCS) (2019).
     
  • Integrating Professional ... - Download
    42.
    Serth, S.: Integrating Professional Tools in Programming Education with MOOCs. Proceedings of the 2019 IEEE Frontiers in Education Conference (FIE). IEEE (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).
     
  • From MOOCs to Micro Learn... - Download
    45.
    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).
     
  • 46.
    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).
     

2018 [ nach oben ]

  • 1.
    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).
     
  • 2.
    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).
     
  • 3.
    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).
     
  • 4.
    Bartz, C., Yang, H., Meinel, C.: SEE: towards semi-supervised end-to-end scene text recognition. Thirty-Second AAAI Conference on Artificial Intelligence (2018).
     
  • 5.
    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).
     
  • 6.
    Rezaei, M., Yang, H., Meinel, C.: Generative Adversarial Framework for Learning Multiple Clinical Tasks. Digital Image Computing: Techniques and Applications (DICTA-2018) (2018).
     
  • 7.
    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).
     
  • Towards a Better Understa... - Download
    8.
    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).
     
  • 9.
    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).
     
  • 10.
    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).
     
  • 11.
    Teusner, R., Matthies, C., Staubitz, T.: What Stays in Mind? - Retention Rates in Programming MOOCs. 2018 IEEE Frontiers in Education Conference (FIE) (2018).
     
  • 12.
    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).
     
  • Team based assignments in... - Download
    13.
    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).
     
  • 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.
    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).
     
  • 16.
    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).
     
  • 17.
    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).
     
  • 18.
    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).
     
  • 19.
    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).
     
  • 20.
    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).
     
  • Towards a Blockchain-base... - Download
    21.
    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).
     
  • A Quantifiable Trust Mode... - Download
    22.
    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).
     
  • 23.
    Mordido, G., Yang, H., Meinel, C.: Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators. KDD2018 (2018).
     
  • 24.
    Sianipar, J., Sukmana, M., Meinel, C.: Moving Sensitive Data Against Live Memory Dumping, Spectre and Meltdown Attacks. Presented at the (2018).
     
  • 25.
    Sianipar, J., Willems, C., Meinel, C.: Virtual Machine Integrity Verification in Crowd-Resourcing Virtual Laboratory. Presented at the (2018).
     
  • 26.
    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).
     
  • 27.
    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 Personalized Lear... - Download
    28.
    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
    29.
    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).
     
  • 30.
    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).
     
  • 31.
    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).
     
  • 32.
    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).
     
  • 33.
    Rezaei, M., Yang, H., Meinel, C.: Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data. arXiv preprint arXiv:1811.10419 (2018).
     
  • 34.
    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).
     
  • 35.
    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).
     
  • 36.
    Rezaei, M., Yang, H., Meinel, C.: Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation. 2019 IEEE Winter Application Computer Vision (2018).
     
  • 37.
    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).
     
  • 38.
    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).
     
  • 39.
    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).
     
  • 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).
     
  • Flexible, Self-Directed a... - Download
    41.
    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).
     
  • Team-Based Assignments in... - Download
    42.
    Staubitz, T., Traifeh, H., Meinel, C.: Team-Based Assignments in MOOCs - User Feedback. 2018 Learning With MOOCS (LWMOOCS). pp. 39–42 (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.
    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).
     
  • 2.
    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).
     
  • 3.
    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).
     
  • 4.
    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).
     
  • 5.
    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).
     
  • 6.
    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).
     
  • 7.
    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).
     
  • 8.
    Rezaei, M., Yang, H., Meinel, C.: Deep Neural Network with l2-Norm Unit for Brain Lesions Detection. Springer (2017).
     
  • 9.
    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).
     
  • 10.
    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).
     
  • 11.
    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).
     
  • 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.
    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).
     
  • 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.
    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).
     
  • 16.
    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).
     
  • 17.
    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).
     
  • 18.
    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).
     
  • 19.
    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).
     
  • 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).
     
  • Juggling Doctor and Patie... - Download
    21.
    Perlich, A., Meinel, C.: Juggling Doctor and Patient Needs in Mental Health Record Design. Informatics Empowers Healthcare Transformation (2017).
     
  • 22.
    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).
     
  • 23.
    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).
     
  • 24.
    Bartz, C., Herold, T., Yang, H., Meinel, C.: Language Identification Using Deep Convolutional Recurrent Neural Networks. International Conference on Neural Information Processing. Springer (2017).
     
  • Supporting Multi-Device E... - Download
    25.
    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).
     
  • 26.
    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).
     
  • Collaboration and Teamwor... - Download
    27.
    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).
     
  • 28.
    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).
     
  • 29.
    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).
     
  • 30.
    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).
     
  • 31.
    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).
     
  • Guilt-by-Association: Det... - Download
    32.
    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).
     
  • openHPI's Coding Tool Fam... - Download
    33.
    Staubitz, T., Teusner, R., Meinel, C.: openHPI’s Coding Tool Family: CodeOcean, CodeHarbor, CodePilot. Automatische Bewertung von Programmieraufgaben (ABP) (2017).
     
  • 34.
    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).
     
  • 35.
    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).
     
  • Automatisierte Qualitäts... - Download
    36.
    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).
     
  • 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).
     
  • Towards a Repository for ... - Download
    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).
     
  • An Interactive Platform t... - Download
    40.
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