| 2026 | WACV | Frequency Is What You Need: Considering Word Frequency When Text Masking Benefits Vision-Language Model Pre-training. | Mingliang Liang, Martha A. Larson |
| 2025 | ACL | Evaluating Large Language Models for Confidence-based Check Set Selection. | Jane Arleth dela Cruz, Iris Hendrickx, Martha A. Larson |
| 2025 | CBMI | Enhancing Vision-Language Model Pre-Training with Image-Text Pair Pruning Based on Word Frequency. | Mingliang Liang, Martha A. Larson |
| 2025 | CBMI | Dual-Objective Adversarial Disentanglement for Protecting Speech Data used for Diagnosing Parkinson's Disease. | Mehtab Ur Rahman, Martha A. Larson, Louis ten Bosch, Cristian Tejedor Garca |
| 2025 | ESORICS | Backdoor Attacks on Transformers for Tabular Data: An Empirical Study. | Bart Pleiter, Behrad Tajalli, Stefanos Koffas, Gorka Abad, Jing Xu, Martha A. Larson, Stjepan Picek |
| 2025 | Interspeech | Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers. | Terry Yi Zhong, Esther Janse, Cristian Tejedor Garca, Louis ten Bosch, Martha A. Larson |
| 2025 | NAACL | Typographic Attacks in a Multi-Image Setting. | Xiaomeng Wang, Zhengyu Zhao, Martha A. Larson |
| 2024 | MMM | Mutant Texts: A Technique for Uncovering Unexpected Inconsistencies in Large-Scale Vision-Language Models. | Mingliang Liang, Zhouran Liu, Martha A. Larson |
| 2023 | ESANN | Exploring the Importance of Sign Language Phonology for a Deep Neural Network. | Javier Martinez Rodriguez, Martha A. Larson, Louis ten Bosch |
| 2023 | ICASSP | Beyond Neural-on-Neural Approaches to Speaker Gender Protection. | Loes van Bemmel, Zhuoran Liu, Nik Vaessen, Martha A. Larson |
| 2023 | ICASSP | Distractor-Based Evaluation of Sign Spotting. | Natalie Hollain, Martha A. Larson, Floris Roelofsen |
| 2023 | ICML | Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression. | Zhuoran Liu, Zhengyu Zhao, Martha A. Larson |
| 2023 | MMM | Textual Concept Expansion with Commonsense Knowledge to Improve Dual-Stream Image-Text Matching. | Mingliang Liang, Zhuoran Liu, Martha A. Larson |
| 2023 | MMM | The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images. | Zhengyu Zhao, Nga Dang, Martha A. Larson |
| 2022 | MMM | Color the Word: Leveraging Web Images for Machine Translation of Untranslatable Words. | Yana van de Sande, Martha A. Larson |
| 2022 | MMSys | NewsImages: addressing the depiction gap with an online news dataset for text-image rematching. | Andreas Lommatzsch, Benjamin Kille, zlem zgbek, Yuxiao Zhou, Jelena Tesic, Cludio Bartolomeu, David Semedo, Lidia Pivovarova, Mingliang Liang, Martha A. Larson |
| 2022 | PSD | When Machine Learning Models Leak: An Exploration of Synthetic Training Data. | Manel Slokom, Peter-Paul de Wolf, Martha A. Larson |
| 2021 | NDSS | Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel. | Zhuoran Liu, Niels Samwel, Leo Weissbart, Zhengyu Zhao, Dirk Lauret, Lejla Batina, Martha A. Larson |
| 2021 | WWW | Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. | Zhuoran Liu, Martha A. Larson |
| 2020 | BMVC | Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter. | Zhengyu Zhao, Zhuoran Liu, Martha A. Larson |
| 2020 | CVPR | Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance. | Zhengyu Zhao, Zhuoran Liu, Martha A. Larson |
| 2020 | LREC | The Connection between the Text and Images of News Articles: New Insights for Multimedia Analysis. | Nelleke Oostdijk, Hans van Halteren, Erkan Basar, Martha A. Larson |
| 2020 | RecSys | Moderation Meets Recommendation: Perspectives on the Role of Policies in Harm-Aware Recommender Ecosystems - Abstract. | Martha A. Larson |
| 2019 | MMM | The Representation of Speech in Deep Neural Networks. | Odette Scharenborg, Nikki van der Gouw, Martha A. Larson, Elena Marchiori |
| 2019 | RecSys | Up Close, but not too Personal: Hypotargeting for Recommender Systems. | Martha A. Larson, Manel Slokom |
| 2019 | RecSys | Data Masking for Recommender Systems: Prediction Performance and Rating Hiding. | Manel Slokom, Martha A. Larson, Alan Hanjalic |
| 2019 | RecSys | BlurM(or)e: Revisiting Gender Obfuscation in the User-Item Matrix. | Christopher Strucks, Manel Slokom, Martha A. Larson |
| 2018 | CIKM | 6th International Workshop on News Recommendation and Analytics (INRA 2018). | zlem zgbek, Benjamin Kille, Jon Atle Gulla, Martha A. Larson, Andreas Lommatzsch |
| 2018 | ICPR | Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest. | Gabriela Ramrez-de-la-Rosa, Esa Villatoro, Bogdan Ionescu, Hugo Jair Escalante, Sergio Escalera, Martha A. Larson, Henning Mller, Isabelle Guyon |
| 2018 | Interspeech | The Conversation Continues: the Effect of Lyrics and Music Complexity of Background Music on Spoken-Word Recognition. | Odette Scharenborg, Martha A. Larson |
| 2017 | MMM | Multimodal Video-to-Video Linking: Turning to the Crowd for Insight and Evaluation. | Maria Eskevich, Martha A. Larson, Robin Aly, Serwah Sabetghadam, Gareth J. F. Jones, Roeland Ordelman, Benoit Huet |
| 2017 | RecSys | CitRec 2017: International Workshop on Recommender Systems for Citizens. | Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson |
| 2017 | SIGIR | A Stream-based Resource for Multi-Dimensional Evaluation of Recommender Algorithms. | Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Arjen P. de Vries |
| 2016 | CBMI | Simple tag-based subclass representations for visually-varied image classes. | Xinchao Li, Peng Xu, Yue Shi, Martha A. Larson, Alan Hanjalic |
| 2016 | CBMI | Crowdsourcing as self-fulfilling prophecy: Influence of discarding workers in subjective assessment tasks. | Michael Riegler, Vamsidhar Reddy Gaddam, Martha A. Larson, Ragnhild Eg, Pl Halvorsen, Carsten Griwodz |
| 2016 | ICPR | ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview. | Hugo Jair Escalante, Vctor Ponce-Lpez, Jun Wan, Michael A. Riegler, Baiyu Chen, Albert Claps, Sergio Escalera, Isabelle Guyon, Xavier Bar, Pl Halvorsen, Henning Mller, Martha A. Larson |
| 2016 | Interspeech | Experiences with Shared Resources for Research and Education in Speech and Language Processing. | Rebecca Bates, Eric Fosler-Lussier, Florian Metze, Martha A. Larson, Gina-Anne Levow, Emily Mower Provost |
| 2016 | MMSys | Right inflight?: a dataset for exploring the automatic prediction of movies suitable for a watching situation. | Michael Riegler, Martha A. Larson, Concetto Spampinato, Pl Halvorsen, Mathias Lux, Jonas Markussen, Konstantin Pogorelov, Carsten Griwodz, Hkon Kvale Stensland |
| 2016 | RecSys | RecSys Challenge 2016: Job Recommendations. | Fabian Abel, Andrs A. Benczr, Daniel Kohlsdorf, Martha A. Larson, Rbert Plovics |
| 2016 | RecSys | Explicit Elimination of Similarity Blocking for Session-based Recommendation. | Mattia Brusamento, Roberto Pagano, Martha A. Larson, Paolo Cremonesi |
| 2016 | RecSys | Bayesian Personalized Ranking with Multi-Channel User Feedback. | Babak Loni, Roberto Pagano, Martha A. Larson, Alan Hanjalic |
| 2016 | RecSys | Algorithms Aside: Recommendation As The Lens Of Life. | 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 Gker, Frank Hopfgartner, Davide Malagoli, Thuy Ngoc Nguyen, Jasminko Novak, Francesco Ricci, Mario Scriminaci, Marko Tkalcic, Anna Zacchi |
| 2016 | RecSys | The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. | Roberto Pagano, Paolo Cremonesi, Martha A. Larson, Balzs Hidasi, Domonkos Tikk, Alexandros Karatzoglou, Massimo Quadrana |
| 2016 | RecSys | Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms. | Mario Scriminaci, Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Martha A. Larson, Davide Malagoli, Andrs Serny, Till Plumbaum |
| 2016 | RecSys | Exploring Deep Space: Learning Personalized Ranking in a Semantic Space. | Jeroen B. P. Vuurens, Martha A. Larson, Arjen P. de Vries |
| 2015 | CVPR | Pairwise geometric matching for large-scale object retrieval. | Xinchao Li, Martha A. Larson, Alan Hanjalic |
| 2015 | RecSys | Overview of ACM RecSys CrowdRec 2015 Workshop: Crowdsourcing and Human Computation for Recommender Systems. | Martha A. Larson, Domonkos Tikk, Roberto Turrin |
| 2015 | RecSys | Recommendation with the Right Slice: Speeding Up Collaborative Filtering with Factorization Machines. | Babak Loni, Martha A. Larson, Alexandros Karatzoglou, Alan Hanjalic |
| 2015 | RecSys | From Sensors to Songs: A Learning-Free Novel Music Recommendation System using Contextual Sensor Data. | Abhishek Sen, Martha A. Larson |
| 2014 | CIKM | CARS2: Learning Context-aware Representations for Context-aware Recommendations. | Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic |
| 2014 | ECIR | Moody closet: exploring intriguing new views on wardrobe recommendation. | Bojana Dumeljic, Martha A. Larson, Alessandro Bozzon |
| 2014 | ECIR | Cross-Domain Collaborative Filtering with Factorization Machines. | Babak Loni, Yue Shi, Martha A. Larson, Alan Hanjalic |
| 2014 | MMSys | Fashion 10000: an enriched social image dataset for fashion and clothing. | Babak Loni, Lei Yen Cheung, Michael Riegler, Alessandro Bozzon, Luke R. Gottlieb, Martha A. Larson |
| 2014 | RecSys | Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems. | Martha A. Larson, Paolo Cremonesi, Alexandros Karatzoglou |
| 2014 | RecSys | 'Free lunch' enhancement for collaborative filtering with factorization machines. | Babak Loni, Alan Said, Martha A. Larson, Alan Hanjalic |
| 2013 | ASRU | K-component recurrent neural network language models using curriculum learning. | Yangyang Shi, Martha A. Larson, Catholijn M. Jonker |
| 2013 | CIKM | GAPfm: optimal top-n recommendations for graded relevance domains. | Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic |
| 2013 | CSCW | I want to be Sachin Tendulkar!: a spoken english cricket game for rural students. | Martha A. Larson, Nitendra Rajput, Abhigyan Singh, Saurabh Srivastava |
| 2013 | IJCAI | CLiMF: Collaborative Less-Is-More Filtering. | Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic |
| 2013 | Interspeech | Speed up of recurrent neural network language models with sentence independent subsampling stochastic gradient descent. | Yangyang Shi, Mei-Yuh Hwang, Kaisheng Yao, Martha A. Larson |
| 2013 | Interspeech | Exploiting the succeeding words in recurrent neural network language models. | Yangyang Shi, Martha A. Larson, Pascal Wiggers, Catholijn M. Jonker |
| 2013 | Interspeech | Narrative-driven Multimedia Tagging and Retrieval: Investigating Design and Practice for Speech-based Mobile Applications. | Abhigyan Singh, Martha A. Larson |
| 2013 | MMSys | Fashion-focused creative commons social dataset. | Babak Loni, Mara Menndez, Mihai Georgescu, Luca Galli, Claudio Massari, Ismail Sengr Altingvde, Davide Martinenghi, Mark S. Melenhorst, Raynor Vliegendhart, Martha A. Larson |
| 2013 | MMSys | Blip10000: a social video dataset containing SPUG content for tagging and retrieval. | Sebastian Schmiedeke, Peng Xu, Isabelle Ferran, Maria Eskevich, Christoph Kofler, Martha A. Larson, Yannick Estve, Lori Lamel, Gareth J. F. Jones, Thomas Sikora |
| 2013 | RecSys | xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance. | Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic |
| 2012 | CBMI | Comparing retrieval effectiveness of alternative content segmentation methods for Internet video search. | Maria Eskevich, Gareth J. F. Jones, Christian Wartena, Martha A. Larson, Robin Aly, Thijs Verschoor, Roeland Ordelman |
| 2012 | LREC | Creating a Data Collection for Evaluating Rich Speech Retrieval. | Maria Eskevich, Gareth J. F. Jones, Martha A. Larson, Roeland Ordelman |
| 2012 | RecSys | Recommender Systems Evaluation: A 3D Benchmark. | Alan Said, Domonkos Tikk, Klara Stumpf, Yue Shi, Martha A. Larson, Paolo Cremonesi |
| 2012 | RecSys | CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering. | Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic |
| 2012 | WWW | The CUBRIK project: human-enhanced time-aware multimedia search. | Piero Fraternali, Marco Tagliasacchi, Davide Martinenghi, Alessandro Bozzon, Ilio Catallo, Eleonora Ciceri, Francesco Saverio Nucci, Vincenzo Croce, Ismail Sengr Altingvde, Wolf Siberski, Fausto Giunchiglia, Wolfgang Nejdl, Martha A. Larson, Ebroul Izquierdo, Petros Daras, Otto Chrons, Ralph Traphner, Bjrn Decker, John Lomas, Patrick Aichroth, Jasminko Novak, Ghislain Sillaume, Fernando Snchez-Figueroa, Carolina Salas-Parra |
| 2012 | WWW | Discovering User Perceptions of Semantic Similarity in Near-duplicate Multimedia Files. | Raynor Vliegendhart, Martha A. Larson, Johan A. Pouwelse |
| 2012 | SIGIR | TFMAP: optimizing MAP for top-n context-aware recommendation. | Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic, Nuria Oliver |
| 2012 | SIGIR | Adaptive diversification of recommendation results via latent factor portfolio. | Yue Shi, Xiaoxue Zhao, Jun Wang, Martha A. Larson, Alan Hanjalic |
| 2011 | CIKM | The where in the tweet. | Wen Li, Pavel Serdyukov, Arjen P. de Vries, Carsten Eickhoff, Martha A. Larson |
| 2011 | CIKM | A peer's-eye view: network term clouds in a peer-to-peer system. | Raynor Vliegendhart, Martha A. Larson, Christoph Kofler, Johan A. Pouwelse |
| 2011 | ECIR | To Seek, Perchance to Fail: Expressions of User Needs in Internet Video Search. | Christoph Kofler, Martha A. Larson, Alan Hanjalic |
| 2011 | ECIR | Reranking Collaborative Filtering with Multiple Self-contained Modalities. | Yue Shi, Martha A. Larson, Alan Hanjalic |
| 2011 | ECIR | How Far Are We in Trust-Aware Recommendation? | Yue Shi, Martha A. Larson, Alan Hanjalic |
| 2011 | ICWSM | Personalized Landmark Recommendation Based on Geotags from Photo Sharing Sites. | Yue Shi, Pavel Serdyukov, Alan Hanjalic, Martha A. Larson |
| 2010 | ECIR | Exploiting Result Consistency to Select Query Expansions for Spoken Content Retrieval. | Stevan Rudinac, Martha A. Larson, Alan Hanjalic |
| 2010 | Interspeech | Towards affective state modeling in narrative and conversational settings. | Bart Jochems, Martha A. Larson, Roeland Ordelman, Ronald Poppe, Khiet P. Truong |
| 2010 | Interspeech | Contextual verification for open vocabulary spoken term detection. | Daniel Schneider, Timo Mertens, Martha A. Larson, Joachim Khler |
| 2010 | RecSys | List-wise learning to rank with matrix factorization for collaborative filtering. | Yue Shi, Martha A. Larson, Alan Hanjalic |
| 2010 | SIGIR | Visual concept-based selection of query expansions for spoken content retrieval. | Stevan Rudinac, Martha A. Larson, Alan Hanjalic |
| 2009 | ECIR | Investigating the Global Semantic Impact of Speech Recognition Error on Spoken Content Collections. | Martha A. Larson, Manos Tsagkias, Jiyin He, Maarten de Rijke |
| 2009 | ECIR | Exploiting Surface Features for the Prediction of Podcast Preference. | Manos Tsagkias, Martha A. Larson, Maarten de Rijke |
| 2009 | RecSys | Exploiting user similarity based on rated-item pools for improved user-based collaborative filtering. | Yue Shi, Martha A. Larson, Alan Hanjalic |
| 2008 | CBMI | Multimodal indexing of digital audio-visual documents: A case study for cultural heritage data. | James Carmichael, Martha A. Larson, Jennifer Marlow, Eamonn Newman, Paul D. Clough, Johan Oomen, Sorin Sav |
| 2008 | CIKM | PodCred: a framework for analyzing podcast preference. | Manos Tsagkias, Martha A. Larson, Wouter Weerkamp, Maarten de Rijke |
| 2008 | ECIR | Using Coherence-Based Measures to Predict Query Difficulty. | Jiyin He, Martha A. Larson, Maarten de Rijke |
| 2008 | SIGIR | Blogger, stick to your story: modeling topical noise in blogs with coherence measures. | Jiyin He, Wouter Weerkamp, Martha A. Larson, Maarten de Rijke |
| 2008 | SIGIR | Term clouds as surrogates for user generated speech. | Manos Tsagkias, Martha A. Larson, Maarten de Rijke |
| 2005 | GI | Structuring and indexing digital archives of radio broadcasters. | Martha A. Larson, Thomas Beckers, Volker Schlgell |
| 2003 | Interspeech | Using syllable-based indexing features and language models to improve German spoken document retrieval. | Martha A. Larson, Stefan Eickeler |
| 2002 | Interspeech | Exploring sub-word features and linear support vector machines for German spoken document classification. | Martha A. Larson, Stefan Eickeler, Gerhard Paa, Edda Leopold, Jrg Kindermann |
| 2002 | LREC | Creation of an Annotated German Broadcast Speech Database for Spoken Document Retrieval. | Stefan Eickeler, Martha A. Larson, Wolff Rter, Joachim Khler |
| 2000 | Interspeech | Compound splitting and lexical unit recombination for improved performance of a speech recognition system for German parliamentary speeches. | Martha A. Larson, Daniel Willett, Joachim Khler, Gerhard Rigoll |