Source: http://moving-project.eu/publications/
Timestamp: 2019-04-26 15:52:54+00:00

Document:
W. Mou, C. Tzelepis, V. Mezaris, H. Gunes, I. Patras, “A Deep Generic to Specific Recognition Model for Group Membership Analysis using Non-verbal Cues”, Image and Vision Computing Journal, Elsevier, vol. 81, pp. 42-50, Jan. 2019. DOI:10.1016/j.imavis.2018.09.005.
F. Böschen, T. Beck, A. Scherp, “Survey and empirical comparison of different approaches for text extraction from scholarly figures”, Multimedia Tools Appl, June, 2018.
I. Vagliano, F. Guenther, M. Heinz, A. Apaolaza, I. Bienia, G. Breitfuss, T. Blume, C. Collyda, A. Fessl, S. Gottfried, P. Hasitschka, J. Kellermann, T. Koehler, A. Maas, V. Mezaris, A. Saleh, A. Skulimowski, S. Thalmann, M. Vigo, A. Wertner, M. Wiese, A. Scherp, “Open Innovation in the Big Data Era with the MOVING Platform: An Integrated Working and Training Approach for Data-savvy Information Professionals”, IEEE MultiMedia, vol. 25, no. 3, pp. 8-21, July-Sept. 2018. DOI:10.1109/MMUL.2018.2873495.
C. Tzelepis, V. Mezaris, I. Patras, “Linear Maximum Margin Classifier for Learning from Uncertain Data”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 12, pp. 2948-2962, Dec. 2018. DOI:10.1109/TPAMI.2017.2772235. Software available at https://github.com/chi0tzp/svm-gsu.
Th. Köhler, A. Scherp, C. Koschtial, C. Felden, S. Herbst, “eScience-Forschungsmethodik – ein neuer Ansatz für eine kollaborative Wissenschaft”, Synergie. Fachmagazin für Digitalisierung in der Lehre, November, 2016.
C. Tzelepis, Z. Ma, V. Mezaris, B. Ionescu, I. Kompatsiaris, G. Boato, N. Sebe, S. Yan, “Event-based Media Processing and Analysis: A Survey of the Literature”, Image and Vision Computing Journal, Elsevier, September, 2016.
I. Vagliano, A. Fessl, F. Guenther, T. Koehler, V. Mezaris, A. Saleh, A. Scherp, I. Simic, “Training Researchers with the MOVING Platform”, in Proc. of the 25th Int. Conf. on Multimedia Modeling (MMM2019), Thessaloniki, Greece, Springer LNCS vol. 11296, pp. 560-565, January 8-11, 2019.
S. Andreadis, A. Moumtzidou, D. Galanopoulos, F. Markatopoulou, K. Apostolidis, T. Mavropoulos, I. Gialampoukidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris, I. Patras, “VERGE in VBS 2019”, in Proc. of the 25th Int. Conf. on Multimedia Modeling (MMM2019), Thessaloniki, Greece, Springer LNCS vol. 11296, pp. 602-608, January 8-11, 2019.
K. Avgerinakis, A. Moumtzidou, D. Galanopoulos, G. Orfanidis, S. Andreadis, F. Markatopoulou, E. Batziou, K. Ioannidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris, “ITI-CERTH participation in TRECVID 2018”, in Proc. of the TRECVID 2018 Workshop, Gaithersburg, MD, USA, November 4-7, 2018.
T. Backes, “The Impact of Name-Matching and Blocking on Author Disambiguation”, in 27th ACM International Conference on Information and Knowledge Management (CIKM’18), Torino, Italy, October 22-26, 2018.
I. Vagliano, L. Galke, F. Mai, A. Scherp, “Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation”, in Proc. of the ACM Recommender Systems Challenge 2018, Vancouver, Canada, October 2, 2018.
H. Yu, “Inferring Knowledge Acquisition through WebNavigation Behaviour”, in Proc. of the 13th EC-TEL Doctoral Consortium co-located with 13th European Conference on Technology Enhanced Learning, Leeds, UK, September 4, 2018.
L. Galke, G. Gerstenkorn, A. Scherp, “A Case Study of Closed-Domain Response Suggestion with Limited Training Data”, in Proc. of DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3-6, 2018.
T. Beck, F. Böschen, A. Scherp, “What to Read Next? Challenges and Preliminary Results in Selecting Representative Documents”, in Proc. of DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3-6, 2018.
T. Blume, A. Scherp, “Towards an Incremental Schema-level Index for Distributed Linked Open Data Graphs”, in Proc. of the Learning, Knowledge, Data, Analytics Conference (LWDA 2018), Mannheim, Germany, August 22-24, 2018.
L. Galke, F. Mai, I. Vagliano, A. Scherp, “Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels”, in Proc. of the 26th ACM User Modelling, Adaptation and Personalization Conference (ACM UMAP 2018), Singapore, July 8-11, 2018.
V. Pammer-Schindler, S Thalmann, A. Fessl, J. Füssel, “Virtualizing face-2-face trainings for training senior professionals: a comparative case study on financial auditors”, in Proc. of the 5th Annual ACM Conference on Learning at Scale (L@S 2018), London, UK, London, June 26-28, 2018.
A.M.J. Skulimowski, “Strategy building for a knowledge repository with a novel expert information fusion tool”, in Proc. of the 6th International Conference on Future-Oriented Technology Analysis (FTA) – Future in the making, Brussels, Belgium, June 4-5, 2018.
M. Abdel-Qader, A. Scherp, I. Vagliano, “Analyzing the Evolution of Vocabulary Terms and Their Impact on the LOD Cloud”, in Proc. of the 15th Extended Semantic Web Conference (ESWC 2018), Crete, June 3-7, 2018.
T. Backes, “Effective Unsupervised Author Disambiguation with Relative Frequencies”, in Proc. of the Joint Conference on Digital Libraries 2018 (JCDL 2018), Fort Worth, Texas, US, June 3-6, 2018.
F. Mai, L. Galke, A. Scherp, “Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Texts”, in Proc. of the Joint Conference on Digital Libraries 2018 (JCDL 2018), Fort Worth, Texas, US, June 3-6, 2018.
T. Blume, A. Scherp, “Towards Flexible Indices for Distributed Graph Data: The Formal Schema-level Index Model FLuID”, in the 30th GI-Workshop on Foundations of Databases (Grundlagen von Datenbanken), Wuppertal, Germany, May 22-25,2018.
I. Vagliano, D. Monti, A. Scherp, M. Morisio, “Content Recommendation through Semantic Annotation of User Reviews and Linked Data”, in the 9th International Conference on Knowledge Capture (K-CAP 2017), Austin, Texas, US, December 4-6, 2017.
L. Galke, F. Mai, A. Schelten, D. Brunsch, A. Scherp , “Using Titles vs. Full-text as Source for Automated Semantic Document Annotation”, in the 9th International Conference on Knowledge Capture (K-CAP 2017), Austin, Texas, US, December 4-6, 2017.
A.M.J. Skulimowski, “Expert Delphi Survey as a Cloud-Based Decision Support Service”, in the 10th IEEE International Conference on Service-Oriented Computing and Applications (SOCA 2017), Kanazawa, Japan, November 22-25, 2017.
T. Koehler, A.M.J. Skulimowski, “Increasing Research Creativity Through Open Innovation Platforms”, in Proc of the 12th International Conference on Knowledge Information and Creativity Support Systems (KICSS’2017), Nagoya, Japan, November 9-11, 2017.
A. Scherp, V. Mezaris, T. Kohler, A. Hauptmann, “MultiEdTech 2017: 1st International Workshop on Multimedia-based Educational and Knowledge Technologies for Personalized and Social Online Training”, in the ACM Multimedia 2017, Mountain View, CA, USA, October 25-27, 2017.
F. Günther, “Modelling user requirements to develop a platform enabling data-savvy information professionals”, in the Communities in New Media Conference (GeNeMe 2017), Dresden, Germany, October 18-20, 2017.
L. Galke, A. Saleh, A. Scherp, “Evaluating the impact of Word Embeddings on Similarity Scoring in Practical Information Retrieval”, in the workshop on “Deep Learning in heterogenen Datenbeständen”, at Informatik 2017- 47. Jahrestagung der Gesellschaft fuer Informatik – ws34-dlhd, Chemnitz, Germany, September 25-29, 2017.
A. Saleh, F. Mai, C. Nishioka, A. Scherp, “Reranking-based Recommender System with Deep Learning”, in the workshop on “Deep Learning in heterogenen Datenbeständen”, at Informatik 2017- 47. Jahrestagung der Gesellschaft fuer Informatik – ws34-dlhd, Chemnitz, Germany, September 25-29, 2017.
A. Fessl, V. Pammer, M. Wiese and S. Thalmann, “Improving Search Strategies of Auditors – A Focus Group on Reflection Interventions”, in the 7th Workshop on Awareness and Reflection in Technology Enhanced Learning in the context of the EC-TEL 2017, Tallinn, Estonia,September 12, 2017.
I. Vagliano, D. Monti, M. Morisio, “SemRevRec: A Recommender System based on User Reviews and Linked Data”, in the 11th ACM Conference on Recommender Systems, Como, Italy, August 27-31, 2017.
C.Nishioka, A. Scherp, “Keeping linked open data caches up-to-date by predicting the life-time of RDF triples”, in the IEEE/WIC/ACM International Conference on Web Intelligence 2017, Leipzig, Germany, August 23-26, 2017.
A. Apaolaza, M. Vigo, “WevQuery: Testing Hypotheses about Web Interaction Patterns”, in the 9th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, Lisbon, Portugal, June 26-29, 2017.
A.M.J. Skulimowski, “Cognitive Content Recommendation in Digital Knowledge Repositories – a Survey of Recent Trends”, in the 16th International Conference on Artificial Intelligence and Soft Computing (ICAISC’2017), Zakopane, Poland, June 11-15, 2017.
D. Galanopoulos, F. Markatopoulou, V. Mezaris, I. Patras, “Concept Language Models and Event-based Concept Number Selection for Zero-example Event Detection”, in the ACM International Conference on Multimedia Retrieval (ICMR’2017), Bucharest, Romania, June 6-9, 2017.
C. Collyda, E. Apostolidis, A. Pournaras, F. Markatopoulou, V. Mezaris, I. Patras, “VideoAnalysis4ALL: An on-line tool for the automatic fragmentation and concept-based annotation, and the interactive exploration of videos”, in the ACM International Conference on Multimedia Retrieval (ICMR’2017), Bucharest, Romania, June 6-9, 2017.
F. Markatopoulou, D. Galanopoulos, V. Mezaris, I. Patras, “Query and Keyframe Representations for Ad-hoc Video Search”, in the ACM International Conference on Multimedia Retrieval (ICMR’2017), Bucharest, Romania, June 6-9, 2017.
W. Mou, Ch. Tzelepis, V. Mezaris, H. Gunes, I. Patras, “Generic to Specific Recognition Models for Membership Analysis in Group Videos”, in the 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG’2017), Washington, DC, USA, May 30 –June 3, 2017.
F. Günther, M. Heinz, A. Fessl , “MOVING the Industry 4.0”, in Learn- and Knowledge Management in the Era of Industry 4.0 (LeWIn4.0) at 9th Conference on Professional Knowledge Management, Karlsruhe , Germany, April 5-7, 2017.
A. Fessl, S. Thalmann, V. Pammer-Schindler, “Adaptive and Reflective Training Support for Improving Search Behaviour in Industry 4.0”, in Learn- and Knowledge Management in the Era of Industry 4.0 (LeWIn4.0) at 9th Conference on Professional Knowledge Management, Karlsruhe , Germany, April 5-7, 2017.
F. Böschen, B. Strobel, S. Goos, Ch. Liebers, B. Rathje, A. Scherp, “Evaluation of the Comprehensiveness of Bar Charts with and without Stacking Functionality using Eye-Tracking”, in Proc of the Human Information Interaction and Retrieval Conference (CHIIR 2017), Oslo, Norway, March 7-11, 2017.
F. Böschen, A. Scherp, “A Comparison of Approaches for Automated Text Extraction from Scholarly Figures”, in Proc. of the Int. Conf. on MultiMedia Modeling (MMM’17), Reykjavik, Iceland, January 4-6, 2017.
A. Moumtzidou, T. Mironidis, F. Markatopoulou, S. Andreadis, I. Gialampoukidis, D. Galanopoulos, A. Ioannidou, S. Vrochidis, V. Mezaris, I. Kompatsiaris, I. Patras, “VERGE in VBS 2017”, in Proc. of the 23rd Int. Conf. on MultiMedia Modeling (MMM’17), Reykjavik, Iceland, January 4-6, 2017.
F. Markatopoulou, A. Moumtzidou, D. Galanopoulos, T. Mironidis, V. Kaltsa, A. Ioannidou, S. Symeonidis, K. Avgerinakis, S. Andreadis, I. Gialampoukidis, S. Vrochidis, A. Briassouli, V. Mezaris, I. Kompatsiaris, I. Patras, “ITI-CERTH participation in TRECVID 2016”, in Proc. of the TRECVID 2016 Workshop, Gaithersburg, MD, USA, November 14-16, 2016.
F. Markatopoulou, V. Mezaris, I. Patras, “Deep Multi-task Learning with Label Correlation Preview Changes (opens in a new window)Constraint for Video Concept Detection”, in Proc. of the ACM Multimedia Conference 2016, Amsterdam, The Netherlands, October 15-19, 2016.
Ch. Tzelepis, E. Mavridaki, V. Mezaris, I. Patras, “Video Aesthetic Quality Assessment using Kernel Support Vector Machine with Isotropic Gaussian Sample Uncertainty (KSVM-iGSU)”, in Proc. of the International Conference of Image Processing 2016 (ICIP 2016), Phoenix, AZ, USA, September 25-28, 2016.
Ch. Nishioka, A. Scherp, “Profiling vs. Time vs. Content: What does Matter for Top-k Publication Recommendation based on Twitter Profiles?”, in Proc. of the Joint Conference on Digital Libraries (JCDL 2016), Newark, NJ, USA, June 19-23, 2016.
Ch. Nishioka, A. Scherp, “Information-theoretic Analysis of Entity Dynamics on the Linked Open Data Cloud”, in Proc. of the International Workshop on Dataset Profiling and Federated Search for Linked Data (PROFILES 2016), Anissaras, Greece, May 30, 2016.
A. Scherp, D. Pscheida, M. Wiese, Ch. Nishioka, Th. Köhler, A. Maas, Ch. Collyda, V. Mezaris, “MOVING: Training Towards a Society of Data-savvy Information Professionals”, in Proc of the 13th Extended Semantic Web Conference (ESWC 2016) at the Project Networking session, Crete, May 29- June 2, 2016.
M. Abdel-Qader, A. Scherp, “Qualitative Analysis of Vocabulary Evolution on the Linked Open Data Cloud”, in Proc. of the International Workshop on Dataset Profiling and Federated Search for Linked Data (PROFILES 2016), Anissaras, Greece, May 30, 2016.
Th. Köhler, D. Pscheida, A. Scherp, C. Koschtial, C. Felden, J. Neumann, “Moving research methodology toward escience”, in Proc of the General Online Research 2016, Dresden, Germany, March 2-4, 2016.
Th. Köhler, A. Scherp; S. Herbst; M. Wiese; V. Mezaris “Data driven online research. Potential specifications in relation to user needs”, International Science 2.0 Conference and EEXCESS Final Conference, Cologne, Germany, May 3-4, 2016.

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