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ORCIDMartha A. Larson
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- affiliation: Radboud University Nijmegen, The Netherlands
- affiliation: Delft University of Technology, The Netherlands
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2020 – today
- 2023
[j36]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Adversarial Image Color Transformations in Explicit Color Filter Space. IEEE Trans. Inf. Forensics Secur. 18: 3185-3197 (2023)- [c186]Mingliang Liang, Zhuoran Liu, Martha A. Larson:
Textual Concept Expansion with Commonsense Knowledge to Improve Dual-Stream Image-Text Matching. MMM (1) 2023: 421-433 - [c185]Zhengyu Zhao, Nga Dang, Martha A. Larson:
The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images. MMM (2) 2023: 718-725 - [e25]Duc-Tien Dang-Nguyen
, Cathal Gurrin, Martha A. Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, Phoebe Chen:
MultiMedia Modeling - 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13833, Springer 2023, ISBN 978-3-031-27076-5 [contents] - [e24]Duc-Tien Dang-Nguyen, Cathal Gurrin, Martha A. Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, Phoebe Chen:
MultiMedia Modeling - 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13834, Springer 2023, ISBN 978-3-031-27817-4 [contents] - [i29]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression. CoRR abs/2301.13838 (2023) - 2022
- [c184]Anna Pillar, Kyrill Poelmans, Martha A. Larson:
Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements. LT-EDI 2022: 13-18 - [c183]Jetske Adams, Kyrill Poelmans, Iris Hendrickx, Martha A. Larson:
Doing not Being: Concrete Language as a Bridge from Language Technology to Ethnically Inclusive Job Ads. LT-EDI 2022: 19-25 - [c182]Yana van de Sande, Martha A. Larson:
Color the Word: Leveraging Web Images for Machine Translation of Untranslatable Words. MMM (1) 2022: 131-138 - [c181]Andreas Lommatzsch, Benjamin Kille, Özlem Özgöbek, Yuxiao Zhou, Jelena Tesic, Cláudio Bartolomeu, David Semedo, Lidia Pivovarova, Mingliang Liang, Martha A. Larson:
NewsImages: addressing the depiction gap with an online news dataset for text-image rematching. MMSys 2022: 227-233 - [c180]Manel Slokom, Peter-Paul de Wolf, Martha A. Larson:
When Machine Learning Models Leak: An Exploration of Synthetic Training Data. PSD 2022: 283-296 - [p4]Giuseppe Garofalo, Manel Slokom, Davy Preuveneers, Wouter Joosen, Martha A. Larson:
Machine Learning Meets Data Modification - The Potential of Pre-processing for Privacy Enchancement. Security and Artificial Intelligence 2022: 130-155 - [e23]Steven Hicks, Konstantin Pogorelov, Andreas Lommatzsch, Alba García Seco de Herrera, Pierre-Etienne Martin, Syed Zohaib Hassan, Alastair Porter, Asem Kasem, Stelios Andreadis, Mathias Lux, Marc Gallofré Ocaña, Alex Liu, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2021 Workshop, Online, 13-15 December 2021. CEUR Workshop Proceedings 3181, CEUR-WS.org 2022 [contents] - [i28]Anna Pillar, Kyrill Poelmans, Martha A. Larson:
Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements. CoRR abs/2205.08813 (2022) - [i27]Zhengyu Zhao, Nga Dang, Martha A. Larson:
Evaluating Transfer-based Targeted Adversarial Perturbations against Real-World Computer Vision Systems based on Human Judgments. CoRR abs/2206.01467 (2022) - [i26]Manel Slokom, Özlem Özgöbek, Martha A. Larson:
Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation. CoRR abs/2207.14218 (2022) - [i25]Danny Stax, Manel Slokom, Martha A. Larson:
Minimizing Mindless Mentions: Recommendation with Minimal Necessary User Reviews. CoRR abs/2208.03242 (2022) - [i24]Dirren van Vlijmen, Alex Kolmus, Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Generative Poisoning Using Random Discriminators. CoRR abs/2211.01086 (2022) - 2021
- [j35]Manel Slokom, Alan Hanjalic, Martha A. Larson:
Towards user-oriented privacy for recommender system data: A personalization-based approach to gender obfuscation for user profiles. Inf. Process. Manag. 58(6): 102722 (2021) - [c179]Mingliang Liang, Martha A. Larson:
Exploring a Pre-trained Model for Re-Matching News Texts and Images. MediaEval 2021 - [c178]Hayley Hung, Cathal Gurrin, Martha A. Larson, Hatice Gunes, Fabien Ringeval, Elisabeth André, Louis-Philippe Morency:
Social Signals and Multimedia: Past, Present, Future. ACM Multimedia 2021: 4610-4612 - [c177]Zhuoran Liu, Niels Samwel, Leo Weissbart, Zhengyu Zhao, Dirk Lauret, Lejla Batina, Martha A. Larson:
Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel. NDSS 2021 - [c176]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
On Success and Simplicity: A Second Look at Transferable Targeted Attacks. NeurIPS 2021: 6115-6128 - [c175]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Pivoting Image-based Profiles Toward Privacy: Inhibiting Malicious Profiling with Adversarial Additions. UMAP 2021: 267-273 - [c174]Martha A. Larson, Nelleke Oostdijk, Frederik J. Zuiderveen Borgesius:
Not Directly Stated, Not Explicitly Stored: : Conversational Agents and the Privacy Threat of Implicit Information. UMAP (Adjunct Publication) 2021: 388-391 - [c173]Zhuoran Liu, Martha A. Larson:
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. WWW 2021: 3590-3602 - [e22]Steven Hicks, Debesh Jha, Konstantin Pogorelov, Alba García Seco de Herrera, Dmitry Bogdanov, Pierre-Etienne Martin, Stelios Andreadis, Minh-Son Dao, Zhuoran Liu, José Vargas Quiros, Benjamin Kille, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2020 Workshop, Online, 14-15 December 2020. CEUR Workshop Proceedings 2882, CEUR-WS.org 2021 [contents] - [e21]Humberto Jesús Corona Pampín, Martha A. Larson, Martijn C. Willemsen, Joseph A. Konstan, Julian J. McAuley, Jean Garcia-Gathright, Bouke Huurnink, Even Oldridge:
RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021. ACM 2021, ISBN 978-1-4503-8458-2 [contents] - [i23]Manel Slokom, Martha A. Larson:
Doing Data Right: How Lessons Learned Working with Conventional Data should Inform the Future of Synthetic Data for Recommender Systems. CoRR abs/2110.03275 (2021) - [i22]Zhuoran Liu, Zhengyu Zhao, Alex Kolmus, Tijn Berns, Twan van Laarhoven, Tom Heskes, Martha A. Larson:
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples. CoRR abs/2111.13244 (2021) - 2020
- [c172]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter. BMVC 2020 - [c171]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance. CVPR 2020: 1036-1045 - [c170]Nelleke Oostdijk, Hans van Halteren, Erkan Basar, Martha A. Larson:
The Connection between the Text and Images of News Articles: New Insights for Multimedia Analysis. LREC 2020: 4343-4351 - [c169]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson, Laurent Amsaleg:
Pixel Privacy: Quality Camouflage for Social Images. MediaEval 2020 - [c168]Susanne Boll, Hari Sundaram, Svetha Venkatesh, Martha A. Larson, Mohan S. Kankanhalli:
The World has Changed - The World Needs to Change. What Multimedia has to Offer for Our Common Digital Future. ACM Multimedia 2020: 4796-4798 - [c167]Martha A. Larson:
Moderation Meets Recommendation: Perspectives on the Role of Policies in Harm-Aware Recommender Ecosystems - Abstract. OHARS@RecSys 2020: 3 - [e20]Martha A. Larson, Steven Alexander Hicks, Mihai Gabriel Constantin, Benjamin Bischke, Alastair Porter, Peijian Zhao, Mathias Lux, Laura Cabrera Quiros, Jordan Calandre, Gareth Jones:
Working Notes Proceedings of the MediaEval 2019 Workshop, Sophia Antipolis, France, 27-30 October 2019. CEUR Workshop Proceedings 2670, CEUR-WS.org 2020 [contents] - [i21]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
A Differentiable Color Filter for Generating Unrestricted Adversarial Images. CoRR abs/2002.01008 (2020) - [i20]Zhuoran Liu, Martha A. Larson:
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. CoRR abs/2006.01888 (2020) - [i19]Manel Slokom, Martha A. Larson, Alan Hanjalic:
Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding. CoRR abs/2008.03797 (2020) - [i18]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Adversarial Robustness Against Image Color Transformation within Parametric Filter Space. CoRR abs/2011.06690 (2020) - [i17]Zhuoran Liu, Niels Samwel, Leo Weissbart, Zhengyu Zhao, Dirk Lauret, Lejla Batina, Martha A. Larson:
Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel. CoRR abs/2011.09877 (2020) - [i16]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
On Success and Simplicity: A Second Look at Transferable Targeted Attacks. CoRR abs/2012.11207 (2020)
2010 – 2019
- 2019
- [j34]Xavier Bost, Serigne Gueye, Vincent Labatut, Martha A. Larson, Georges Linarès, Damien Malinas, Raphaël Roth:
Remembering winter was coming - Character-oriented video summaries of TV series. Multim. Tools Appl. 78(24): 35373-35399 (2019) - [j33]Babak Loni, Roberto Pagano, Martha A. Larson, Alan Hanjalic:
Top-N Recommendation with Multi-Channel Positive Feedback using Factorization Machines. ACM Trans. Inf. Syst. 37(2): 15:1-15:23 (2019) - [c166]Jaeyoung Choi, Martha A. Larson, Gerald Friedland, Alan Hanjalic:
From Intra-Modal to Inter-Modal Space: Multi-task Learning of Shared Representations for Cross-Modal Retrieval. BigMM 2019: 1-10 - [c165]Benjamin Bischke, Patrick Helber, Simon Brugman, Erkan Basar, Zhengyu Zhao, Martha A. Larson, Konstantin Pogorelov:
The Multimedia Satellite Task at MediaEval 2019. MediaEval 2019 - [c164]Simon Brugman, Martha A. Larson:
Scene Change Task: Take me to Paris. MediaEval 2019 - [c163]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Pixel Privacy 2019: Protecting Sensitive Scene Information in Images. MediaEval 2019 - [c162]Sam Sweere, Zhuoran Liu, Martha A. Larson:
Maintaining Perceptual Faithfulness of Adversarial Image Examples by Leveraging Color Variance. MediaEval 2019 - [c161]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Who's Afraid of Adversarial Queries?: The Impact of Image Modifications on Content-based Image Retrieval. ICMR 2019: 306-314 - [c160]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson, Ahmet Iscen, Naoko Nitta:
Reproducible Experiments on Adaptive Discriminative Region Discovery for Scene Recognition. ACM Multimedia 2019: 1076-1079 - [c159]Odette Scharenborg, Nikki van der Gouw, Martha A. Larson, Elena Marchiori:
The Representation of Speech in Deep Neural Networks. MMM (2) 2019: 194-205 - [c158]Martha A. Larson, Manel Slokom:
Up Close, but not too Personal: Hypotargeting for Recommender Systems. ImpactRS@RecSys 2019 - [c157]Manel Slokom, Martha A. Larson, Alan Hanjalic:
Data Masking for Recommender Systems: Prediction Performance and Rating Hiding. RecSys (Late-Breaking Results) 2019: 21-25 - [c156]Christopher Strucks, Manel Slokom, Martha A. Larson:
BlurM(or)e: Revisiting Gender Obfuscation in the User-Item Matrix. RMSE@RecSys 2019 - [p3]Frank Hopfgartner, Krisztian Balog, Andreas Lommatzsch, Liadh Kelly, Benjamin Kille, Anne Schuth, Martha A. Larson:
Continuous Evaluation of Large-Scale Information Access Systems: A Case for Living Labs. Information Retrieval Evaluation in a Changing World 2019: 511-543 - [e19]Laurent Amsaleg, Benoit Huet, Martha A. Larson, Guillaume Gravier, Hayley Hung, Chong-Wah Ngo, Wei Tsang Ooi:
Proceedings of the 27th ACM International Conference on Multimedia, MM 2019, Nice, France, October 21-25, 2019. ACM 2019, ISBN 978-1-4503-6889-6 [contents] - [i15]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval. CoRR abs/1901.10332 (2019) - [i14]Xavier Bost, Serigne Gueye, Vincent Labatut, Martha A. Larson, Georges Linarès, Damien Malinas, Raphaël Roth:
Remembering winter was coming. CoRR abs/1909.02423 (2019) - [i13]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance. CoRR abs/1911.02466 (2019) - 2018
- [j32]Xinchao Li, Martha A. Larson, Alan Hanjalic:
Geo-Distinctive Visual Element Matching for Location Estimation of Images. IEEE Trans. Multim. 20(5): 1179-1194 (2018) - [j31]Karthik Yadati, Martha A. Larson, Cynthia C. S. Liem, Alan Hanjalic:
Detecting Socially Significant Music Events Using Temporally Noisy Labels. IEEE Trans. Multim. 20(9): 2526-2540 (2018) - [c155]Özlem Özgöbek, Benjamin Kille, Jon Atle Gulla, Martha A. Larson, Andreas Lommatzsch:
6th International Workshop on News Recommendation and Analytics (INRA 2018). CIKM Workshops 2018 - [c154]Gabriela Ramírez-de-la-Rosa, Esaú Villatoro, Bogdan Ionescu, Hugo Jair Escalante, Sergio Escalera, Martha A. Larson, Henning Müller, Isabelle Guyon:
Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest. CVAUI/IWCF/MIPPSNA@ICPR 2018: 127-139 - [c153]Odette Scharenborg, Martha A. Larson:
The Conversation Continues: the Effect of Lyrics and Music Complexity of Background Music on Spoken-Word Recognition. INTERSPEECH 2018: 2280-2284 - [c152]Simon Brugman, Maciej Wysokinski, Martha A. Larson:
Exploring Three Views on Image Enhancement for Pixel Privacy. MediaEval 2018 - [c151]Martha A. Larson, Zhuoran Liu, Simon Brugman, Zhengyu Zhao:
Pixel Privacy: Increasing Image Appeal while Blocking Automatic Inference of Sensitive Scene Information. MediaEval 2018 - [c150]Zhengyu Zhao, Martha A. Larson, Nelleke Oostdijk:
Exploiting Local Semantic Concepts for Flooding-related Social Image Classification. MediaEval 2018 - [c149]Zhengyu Zhao, Martha A. Larson:
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition. ACM Multimedia 2018: 1760-1768 - [e18]Martha A. Larson, Piyush Arora, Claire-Hélène Demarty, Michael Riegler, Benjamin Bischke, Emmanuel Dellandréa, Mathias Lux, Alastair Porter, Gareth J. F. Jones:
Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia Antipolis, France, 29-31 October 2018. CEUR Workshop Proceedings 2283, CEUR-WS.org 2018 [contents] - [i12]Odette Scharenborg, Martha A. Larson:
Investigating the Effect of Music and Lyrics on Spoken-Word Recognition. CoRR abs/1803.05058 (2018) - [i11]Emilia Gómez, Carlos Castillo, Vicky Charisi, Verónica Dahl, Gustavo Deco, Blagoj Delipetrev, Nicole Dewandre, Miguel Ángel González Ballester, Fabien Gouyon, José Hernández-Orallo, Perfecto Herrera, Anders Jonsson, Ansgar Koene, Martha A. Larson, Ramón López de Mántaras, Bertin Martens, Marius Miron, Rubén Moreno-Bote, Nuria Oliver, Antonio Puertas Gallardo, Heike Schweitzer, Núria Sebastián, Xavier Serra, Joan Serrà, Songül Tolan, Karina Vold:
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour. CoRR abs/1806.03192 (2018) - [i10]Zhengyu Zhao, Martha A. Larson:
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition. CoRR abs/1807.08624 (2018) - [i9]Babak Loni, Martha A. Larson, Alan Hanjalic:
Factorization Machines for Data with Implicit Feedback. CoRR abs/1812.08254 (2018) - 2017
- [j30]Martha A. Larson, Mohammad Soleymani, Guillaume Gravier, Bogdan Ionescu, Gareth J. F. Jones:
The Benchmarking Initiative for Multimedia Evaluation: MediaEval 2016. IEEE Multim. 24(1): 93-96 (2017) - [c148]Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Torben Brodt:
CLEF 2017 NewsREEL Overview: Offline and Online Evaluation of Stream-based News Recommender Systems. CLEF (Working Notes) 2017 - [c147]Yu Liang, Babak Loni, Martha A. Larson:
CLEF NewsREEL 2017: Contextual Bandit News Recommendation. CLEF (Working Notes) 2017 - [c146]Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Martha A. Larson, Torben Brodt, Jonas Seiler, Özlem Özgöbek:
CLEF 2017 NewsREEL Overview: A Stream-Based Recommender Task for Evaluation and Education. CLEF 2017: 239-254 - [c145]Bo Wang, Martha A. Larson:
Exploiting Visual-based Intent Classification for Diverse Social Image Retrieval. MediaEval 2017 - [c144]Zhengyu Zhao, Martha A. Larson:
Retrieving Social Flooding Images Based on Multimodal Information. MediaEval 2017 - [c143]Jaeyoung Choi, Martha A. Larson, Xinchao Li, Kevin Li, Gerald Friedland, Alan Hanjalic:
The Geo-Privacy Bonus of Popular Photo Enhancements. ICMR 2017: 84-92 - [c142]Karthik Yadati, Cynthia C. S. Liem, Martha A. Larson, Alan Hanjalic:
On the Automatic Identification of Music for Common Activities. ICMR 2017: 192-200 - [c141]Bo Wang, Martha A. Larson:
Beyond Concept Detection: The Potential of User Intent for Image Retrieval. MUSA2@MM 2017: 11-19 - [c140]Maria Eskevich, Martha A. Larson, Robin Aly, Serwah Sabetghadam, Gareth J. F. Jones, Roeland Ordelman, Benoit Huet:
Multimodal Video-to-Video Linking: Turning to the Crowd for Insight and Evaluation. MMM (2) 2017: 280-292 - [c139]Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson:
CitRec 2017: International Workshop on Recommender Systems for Citizens. RecSys 2017: 388-389 - [c138]Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Arjen P. de Vries:
A Stream-based Resource for Multi-Dimensional Evaluation of Recommender Algorithms. SIGIR 2017: 1257-1260 - [e17]Guillaume Gravier, Benjamin Bischke, Claire-Hélène Demarty, Maia Zaharieva, Michael Riegler, Emmanuel Dellandréa, Dmitry Bogdanov, Richard F. E. Sutcliffe, Gareth J. F. Jones, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 13-15, 2017. CEUR Workshop Proceedings 1984, CEUR-WS.org 2017 [contents] - [e16]Bogdan Ionescu, Nicu Sebe, Jiashi Feng, Martha A. Larson, Rainer Lienhart, Cees Snoek:
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, ICMR 2017, Bucharest, Romania, June 6-9, 2017. ACM 2017, ISBN 978-1-4503-4701-3 [contents] - [e15]Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson:
Proceedings of International Workshop on Citizens for Recommender Systems, CitRec@RecSys 2017, 31 August 2017, Como, Italy. ACM 2017 [contents] - 2016
- [j29]Christoph Kofler, Martha A. Larson, Alan Hanjalic:
User Intent in Multimedia Search: A Survey of the State of the Art and Future Challenges. ACM Comput. Surv. 49(2): 36:1-36:37 (2016) - [j28]Kuan-Ta Chen, Omar Alonso, Martha A. Larson, Irwin King:
Introduction to the Special Issue on Crowd in Intelligent Systems. ACM Trans. Intell. Syst. Technol. 7(4): 44:1-44:2 (2016) - [c137]Xinchao Li, Peng Xu, Yue Shi, Martha A. Larson, Alan Hanjalic:
Simple tag-based subclass representations for visually-varied image classes. CBMI 2016: 1-6 - [c136]Michael Riegler, Vamsidhar Reddy Gaddam, Martha A. Larson, Ragnhild Eg, Pål Halvorsen, Carsten Griwodz:
Crowdsourcing as self-fulfilling prophecy: Influence of discarding workers in subjective assessment tasks. CBMI 2016: 1-6 - [c135]Benjamin Kille, Andreas Lommatzsch, Gebrekirstos G. Gebremeskel, Frank Hopfgartner, Martha A. Larson, Jonas Seiler, Davide Malagoli, András Serény, Torben Brodt, Arjen P. de Vries:
Overview of NewsREEL'16: Multi-dimensional Evaluation of Real-Time Stream-Recommendation Algorithms. CLEF 2016: 311-331 - [c134]Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Jonas Seiler, Davide Malagoli, András Serény, Torben Brodt:
CLEF NewsREEL 2016: Comparing Multi-dimensional Offline and Online Evaluation of News Recommender Systems. CLEF (Working Notes) 2016: 593-605 - [c133]Francesco Corsini, Martha A. Larson:
CLEF NewsREEL 2016: Image based Recommendation. CLEF (Working Notes) 2016: 618-827 - [c132]Hugo Jair Escalante, Víctor Ponce-López, Jun Wan, Michael A. Riegler, Baiyu Chen, Albert Clapés, Sergio Escalera, Isabelle Guyon, Xavier Baró, Pål Halvorsen, Henning Müller, Martha A. Larson:
ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview. ICPR 2016: 67-73 - [c131]Rebecca Bates, Eric Fosler-Lussier, Florian Metze, Martha A. Larson, Gina-Anne Levow, Emily Mower Provost:
Experiences with Shared Resources for Research and Education in Speech and Language Processing. INTERSPEECH 2016: 1627-1631 - [c130]Andrew M. Demetriou, Martha A. Larson, Cynthia C. S. Liem:
Go with the Flow: When Listeners Use Music as Technology. ISMIR 2016: 292-298 - [c129]Michael Riegler, Concetto Spampinato, Martha A. Larson, Carsten Griwodz, Pål Halvorsen:
The MediaEval 2016 Context of Experience Task: Recommending Videos Suiting a Watching Situation. MediaEval 2016 - [c128]Michael Riegler, Martha A. Larson, Concetto Spampinato, Pål Halvorsen, Mathias Lux, Jonas Markussen, Konstantin Pogorelov, Carsten Griwodz, Håkon Kvale Stensland:
Right inflight?: a dataset for exploring the automatic prediction of movies suitable for a watching situation. MMSys 2016: 45:1-45:6 - [c127]Fabian Abel, András A. Benczúr, Daniel Kohlsdorf, Martha A. Larson, Róbert Pálovics:
RecSys Challenge 2016: Job Recommendations. RecSys 2016: 425-426 - [c126]Mattia Brusamento, Roberto Pagano, Martha A. Larson, Paolo Cremonesi:
Explicit Elimination of Similarity Blocking for Session-based Recommendation. RecSys Posters 2016 - [c125]Jeroen B. P. Vuurens, Martha A. Larson, Arjen P. de Vries:
Exploring Deep Space: Learning Personalized Ranking in a Semantic Space. DLRS@RecSys 2016: 23-28 - [c124]Tamas Motajcsek, Jean-Yves Le Moine, Martha A. Larson, Daniel Kohlsdorf, Andreas Lommatzsch, Domonkos Tikk, Omar Alonso, Paolo Cremonesi, Andrew M. Demetriou, Kristaps Dobrajs, Franca Garzotto, Ayse Göker, Frank Hopfgartner, Davide Malagoli, Thuy Ngoc Nguyen, Jasminko Novak, Francesco Ricci, Mario Scriminaci, Marko Tkalcic, Anna Zacchi:
Algorithms Aside: Recommendation As The Lens Of Life. RecSys 2016: 215-219 - [c123]Roberto Pagano, Paolo Cremonesi, Martha A. Larson, Balázs Hidasi, Domonkos Tikk, Alexandros Karatzoglou, Massimo Quadrana:
The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. RecSys 2016: 249-252 - [c122]Babak Loni, Roberto Pagano, Martha A. Larson, Alan Hanjalic:
Bayesian Personalized Ranking with Multi-Channel User Feedback. RecSys 2016: 361-364 - [c121]Mario Scriminaci, Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Martha A. Larson, Davide Malagoli, András Serény, Till Plumbaum:
Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms. RecSys Posters 2016 - [c120]George Awad, Jonathan G. Fiscus, David Joy, Martial Michel, Alan F. Smeaton, Wessel Kraaij, Georges Quénot, Maria Eskevich, Robin Aly, Roeland Ordelman, Marc Ritter, Gareth J. F. Jones, Benoit Huet, Martha A. Larson:
TRECVID 2016: Evaluating Video Search, Video Event Detection, Localization, and Hyperlinking. TRECVID 2016 - [e14]Guillaume Gravier, Claire-Hélène Demarty, Hervé Bredin, Bogdan Ionescu, Christina Boididou, Emmanuel Dellandréa, Jaeyoung Choi, Michael Riegler, Richard F. E. Sutcliffe, Igor Szöke, Gareth J. F. Jones, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2016 Workshop, Hilversum, The Netherlands, October 20-21, 2016. CEUR Workshop Proceedings 1739, CEUR-WS.org 2016 [contents] - [e13]Fabian Abel, András A. Benczúr, Daniel Kohlsdorf, Martha A. Larson, Róbert Pálovics:
Proceedings of the 2016 Recommender Systems Challenge, RecSys Challenge 2016, Boston, Massachusetts, USA, September 15, 2016. ACM 2016, ISBN 978-1-4503-4801-0 [contents] - [e12]George Awad, Jonathan G. Fiscus, David Joy, Martial Michel, Alan F. Smeaton, Wessel Kraaij, Georges Quénot, Maria Eskevich, Robin Aly, Roeland Ordelman, Marc Ritter, Gareth J. F. Jones, Benoit Huet, Martha A. Larson:
2016 TREC Video Retrieval Evaluation, TRECVID 2016, Gaithersburg, MD, USA, November 14-16, 2016. National Institute of Standards and Technology (NIST) 2016 [contents] - [i8]