Research

P1 Publications

  • Association for Computational Linguistics (2023)

    Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing

    Lucie-Aimée Kaffee, Arnav Arora, Zeerak Talat, Isabelle Augenstein

  • Proceedings of the ACM on Human-Computer Interaction (2023)

    Tiles to Move: Investigating Tile-Based Locomotion for Virtual Reality

    Jana F. Funke, Anja Schikorr, Sukran Karaosmanoglu, Teresa Hirzle, Frank Steinicke, Enrico Rukzio

  • Association for Computational Linguistics (2023)

    Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection

    Erik Arakelyan, Arnav Arora, Isabelle Augenstein

  • CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

    Towards a Bedder Future: A Study of Using Virtual Reality while Lying Down

    Thomas van Gemert , Kasper Hornbæk, Jarrod Knibbe, Joanna Bergström

  • Genome Biology (2023)

    Towards in silico CLIP-seq: predicting protein-RNA interaction via sequence-to-signal learning

    Marc Horlacher, Nils Wagner, Lambert Moyon, Klara Kuret, Nicolas Goedert, Marco Salvatore, Jernej Ule, Julien Gagneur, Ole Winther, Annalisa Marsico

  • ACM Transactions on Computer-Human Interaction

    Using Feedforward to Reveal Interaction Possibilities in Virtual Reality

    Andreea Muresan, Jess Mcintosh , Kasper Hornbæk

  • Proceedings of the 40th International Conference on Machine Learning

    Variational open-domain question answering

    Valentin Liévin, Andreas G. Motzfeldt, Ida R. Jensen, Ole Winther

  • CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

    When XR and AI Meet – A Scoping Review on Extended Reality and Artificial Intelligence

    Teresa Hirzle, Florian Müller, Fiona Draxler, Martin Schmitz, Pascal Knierim, Kasper Hornbæk

  • CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

    Exploring Gesture and Gaze Proxies to Communicate Instructor’s Nonverbal Cues in Lecture Videos

    Tobias Wagner , Teresa Hirzle, Anke Huckauf, Enrico Rukzio

  • Association for Computational Linguistics (2023)

    Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions

    Lucie-Aimée Kaffee, Arnav Arora, Isabelle Augenstein

  • ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

    Filterbank Learning for Noise-Robust Small-Footprint Keyword Spotting

    Iván López-Espejo, Ram C. M. C. Shekar, Zheng-Hua Tan, Jesper Jensen, John H. L. Hansen

  • Chapter on Temporal Network Theory (2023)

    Fundamental Structures in Temporal Communication Networks

    Sune Lehmann J.

  • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings

    Daniel J. Trosten, Rwiddhi Chakraborty , Sigurd Løksc, Kristoffer K. Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer

  • 2023 International Conference on Computer Vision (ICCV)

    Image-free Classifier Injection for Zero-Shot Classification

    Anders Christensen, Massimiliano Mancini, A. Sophia Koepke, Ole Winther, Zenyep Akata

  • 2023 IEEE Conference on Games (CoG)

    Investigating Perceived and Mechanical Challenge in Games Through Cognitive Activity

    Christine Hegedues, Joao P. D. Constantino , Laurits Dixen, Paolo Burelli

  • 2023 IEEE Conference on Games (CoG)

    Investigating the Uncanny Valley Phenomenon Through the Temporal Dynamics of Neural Responses to Virtual Characters

    Chiara Gorlini , Laurits Dixen, Paolo Burelli

  • Conference on Machine Learning and Knowledge Discovery in Databases: Research Track (2023)

    Learning Geometric Representations of Objects via Interaction

    Alfredo Reichlin, Giovanni L. Marchetti , Hang Yin, Anastasiia Varava, Danica Kragic

  • Conference on Simplifying Medical Ultrasound (2023)

    Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction

    Paraskevas Pegios, Emilie P. F. Sejer, Manxi Lin, Zahra Bashir, Morten B. S. Svendsen, Mads Nielsen, Eike Petersen, Anders N. Christensen, Martin Tolsgaard, Aasa Feragen

  • FAccT '23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency

    On (assessing) the fairness of risk score models

    Eike Petersen, Melanie Ganz-Benjaminsen, Sune H. Holm, Aasa Feragen

  • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering

    Daniel J. Trosten, Sigurd Løkse, Robert Jenssen , Michael C. Kampffmeyer

  • Expert Systems with Applications (2023)

    Online transfer learning with partial feedback

    Zhongfeng Kang, Mads Nielsen, Bo Yang, Lihui Deng, Stephan S. Lorenzen

  • CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

    Partially Blended Realities: Aligning Dissimilar Spaces for Distributed Mixed Reality Meetings

    Jens E. S. Grønbæk, Ken Pfeuffer, Edurado Velloso, Morten Astrup, Melanie I. S. Pedersen, Martin Kjær, Germán Leiva, Hans Gellersen

  • UrbanAI '23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI

    Predicting urban tree cover from incomplete point labels and limited background information

    Hui Zhang, Ankit Kariryaa, Venkanna B. Guthula, Christian Igel, Stefan Oehmcke

  • 2023 IEEE International Conference on Big Data (BigData)

    Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems

    Antonela Tommasel, Ira Assent

  • Journal of Medical Imaging (2023)

    Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk

    Andreas D. Lauritzen, My C. von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm

  • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

    Robustness of Visual Explanations to Common Data Augmentation Methods

    Lars Kai Hansen, Lenka Tëtková

  • IEEE Transactions on Knowledge and Data Engineering (2023)

    Selective Imputation for Multivariate Time Series Datasets With Missing Values

    Ane Blázquez-García, Kristoffer Wickstrøm, Shujian Yu, Karl Ø. Mikalsen, Ahcène Boubekki, Angel Conde, Usue Mori, Robert Jenssen, Jose A. Lozano

  • 2023 IEEE International Conference on Data Mining (ICDM)

    SGD Biased towards Early Important Samples for Efficient Training

    Alessio Quercia, Abigail Morrison, Hanno Scharr, Ira Assent

  • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

    TemPose: a new skeleton-based transformer model designed for fine-grained motion recognition in badminton

    Magnus Ibh, Stella Grasshof, Dan Witzner Hansen, Pascal Madeleine

  • Computer Vision – ECCV 2022 Workshops

    Text-Driven Stylization of Video Objects

    Sebastian Loeschcke, Serge Belongie, Sagie Benaim

  • Physics of Life Reviews (2023)

    The fine-grained temporal dynamics of social timing: a window into sociality of embodied social agents. Comment on “The evolution of social timing” by L. Verga, S. A. Kotz, & A. Ravignani

    Ivana Konvalinka, Kyveli Kompatsiari, Qianliang Li

  • International Conference on Machine Learning (ICML) (2023)

    Unifying Molecular and Textual Representations via Multi-task Language Modelling

    Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica

  • Nature Computational Science (2023)

    Using sequences of life-events to predict human lives

    Germans Savcisens, Tina Eliassi-Rad, Lars K. Hansen, Laust H. Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann J.

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (2023)

    Video Transformers: A Survey

    Javier Selva, Anders S. Johansen, Sergio Escalera, Kamal Nasrollahi, Thomas B. Moeslund, Albert Clapés

  • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

    Which Tokens to Use? Investigating Token Reduction in Vision Transformers

    Joakim B. Haurum, Sergio Escalera, Graham W. Taylor, Thomas B. Moeslund

  • IEEE Journal of Selected Topics in Signal Processing (2022)

    Self-Supervised Speech Representation Learning: A Review

    Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, Shinji Watanabe

  • Frontiers in Environmental Science (2022)

    Interpretation of convolutional neural networks for acid sulfate soil classification

    Amelie Beucher, Christoffer B. Rasmussen, Thomas B. Moeslund, Mogens H. Greve

  • Synthese (2022)

    Understanding models understanding language

    Anders Søgaard

  • Radiology (2022)

    An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload

    Andreas D. Lauritzen, Alejandro Rodríguez-Ruiz, My C. von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm

  • IET Image Processing (2022)

    Real-world super-resolution of face-images from surveillance cameras

    Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund

  • Journal of Multivariate Analysis (2022)

    Graph-valued regression: Prediction of unlabelled networks in a non-Euclidean graph space

    Anna Calissano, Aasa Feragen, Simone Vantini

  • AI and Ethics (2022)

    Rawlsian AI fairness loopholes

    Anna K. Jørgensen, Anders Søgaard

  • BMJ Open (2022)

    Using machine learning to identify quality-of-care predictors for emergency caesarean sections: a retrospective cohort study

    Betina R. Andersen, Ida Ammitzbøll, Jesper Hinrich, Sune Lehmann J., Charlotte V. Ringsted, Ellen C. L. Løkkegaard, Martin G. Tolsgaard

  • PloS one (2022)

    Characterizing polarization in online vaccine discourse—A large-scale study

    Bjarke Mønsted, Sune Lehmann J.

  • The American Journal of Gastroenterology (2022)

    High Accuracy in Classifying Endoscopic Severity in Ulcerative Colitis Using Convolutional Neural Network

    Bobby Lo, Zhuo Y. Liu, Flemming Bendtsen, Christian Igel, Ida Vind, Johan Burisch

  • Water (2022)

    Data-Driven Drift Detection in Real Process Tanks: Bridging the Gap between Academia and Practice

    Bolette D. Hansen, Thomas B. Hansen, Thomas B. Moeslund, David G. Jensen

  • Association for Computational Linguistics (2022)

    Multilingual Multimodal Learning with Machine Translated Text

    Chen Qiu, Dan Oneață, Emanuele Bugliarello, Stella Frank, Desmond Elliott

  • Sensors (2022)

    The Challenge of Data Annotation in Deep Learning—A Case Study on Whole Plant Corn Silage

    Christoffer B. Rasmussen, Kristian Kirk, Thomas B. Moeslund

  • Understanding Social Behavior in Dyadic and Small Group Interactions (2022)

    ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions: Dataset, Design, and Results

    Cristina Palmero, German Barquero, Julio C. S. J. Junior, Albert Clapés, Johnny Núñez, David Curto, Sorina Smeureanu, Javier Selva, Zejian Zhang, David Saeteros, David Gallardo-Pujol, Georgina Guilera, David Leiva, Feng Han, Xiaoxue Feng, Jennifer He, Wei-Wei Tu, Thomas B. Moeslund, Isabelle Guyon, Sergio Escalera

  • Aarhus Universitetsforlag (2022)

    Kunstig intelligens bagfra (Book)

    Anders Søgaard

  • Osteoarthritis and Cartilage (2022)

    MULTI-INSTITUTIONAL LARGE-SCALE VALIDATION OF 8 METHODS FOR AUTOMATIC KNEE MRI SEGMENTATION FOR USE IN CLINICAL TRIALS

    E.B. Dam, A. Desai, C. Deniz, H. Rajamohan, R. Regatte, C. Iriondo, V. Pedoia, S. Majumdar, M. Perslev, C. Igel, A. Pai, S. Gaj, M. Yang, K. Nakamura, X. Li, H. Maqbool, I. Irmakci, S-E. Song, U. Bagci, B. Hargreaves, G. Gold, A. Chaudhari

  • Sensors (2022)

    Anomaly Detection for Agricultural Vehicles Using Autoencoders

    Esma Mujkic, Mark P. Philipsen, Thomas B. Moeslund, Martin P. Christiansen, Ole Ravn

  • Water (2022)

    Autoencoders for Semi-Supervised Water Level Modeling in Sewer Pipes with Sparse Labeled Data

    Ferran P. Rius, Mark P. Philipsen, Josep M. M. Tur, Thomas B. Moeslund, Cecilio A. Bahón, Marc Casas

  • IEEE Robotics and Automation Letters (2022)

    Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images

    Galadrielle Humblot-Renaux, Letizia Marchegiani, Thomas B. Moeslund, Rikke Gade

  • International Journal of Computer Integrated Manufacturing (2022)

    Utilization of acoustic signals with generative Gaussian and autoencoder modeling for condition-based maintenance of injection moulds

    Georg Ø. Rønsch, Iván López-Espejo, Daniel Michelsanti, Yuying Xie, Petar Popovski, Zheng-Hua Tan

  • Proceedings of the ACM on Human-Computer Interaction (2022)

    PACMHCI V6, ETRA, May 2022 Editorial

    Hans Gellersen, Enkelejda Kasneci, Krzysztof Krejtz, Daniel Weiskopf

  • Sensors (2022)

    Imitating Emergencies: Generating Thermal Surveillance Fall Data Using Low-Cost Human-like Dolls

    Ivan Nikolov, Jinsong Liu, Thomas B. Moeslund

  • Remote Sensing (2022)

    Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods

    Jaime C. Revenga, Katerina Trepekli, Stefan Oechmcke, Rasmus Jensen, Lei Li, Christian Igel, Fabian C. Gieseke, Thomas Friborg

  • Sensors (2022)

    Clothing Insulation Rate and Metabolic Rate Estimation for Individual Thermal Comfort Assessment in Real Life

    Jinsong Liu, Isak W. Foged, Thomas B. Moeslund

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (2022)

    Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization

    Jiyang Xie, Zhanyu Ma, Jianjun Lei, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo

  • ISPRS Journal of Photogrammetry and Remote Sensing (2022)

    TimeMatch: Unsupervised cross-region adaptation by temporal shift estimation

    Joachim Nyborg, Charlotte Pelletier, Sébastien Lefèvre, Ira Assent

  • Automation in Construction (2022)

    Multi-scale hybrid vision transformer and Sinkhorn tokenizer for sewer defect classification

    Joakim B. Haurum, Meysam Madadi, Sergio Escalera, Thomas B. Moeslund

  • Journal of Computational Social Science (2022)

    Group-specific behavior change following terror attacks

    Jonas L. Juul, Laura M. Alessandretti, Jesper Dammeyer, Ingo Zettler, Sune Lehmann J., Joachim Mathiesen

  • Nature Scientific reports (2022)

    Noise-assisted variational quantum thermalization

    Jonathan Foldager, Arthur Pesah, Lars K. Hansen

  • FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency (2022)

    From Demo to Design in Teaching Machine Learning

    Karl-Emil K. Bilstrup, Magnus H. Kaspersen, Ira Assent, Simon Enni, Marianne G. Petersen

  • The journal of Machine Learning for Biomedical Imaging (2022)

    Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy

    Kasra Arnavaz, Oswin Krause, Kilian Zepf, Jakob A. Bærentzen, Jelena M. Krivokapic, Silja Heilmann, Pia Nyeng, Aasa Freagen

  • One earth (2022)

    Rising temperatures erode human sleep globally

    Kelton Minor, Andreas Bjerre-Nielsen, Sigga S. Jonasdottir, Sune Lehmann J., Nick Obradovich

  • Frontiers in Neuroscience (2022)

    Uncovering Cortical Units of Processing From Multi-Layered Connectomes

    Kristoffer J. Albers, Matthew G. Liptrot, Karen S. Ambrosen, Rasmus Røge, Tue Herlau, Kasper W. Andersen, Hartwig R. Siebner, Lars K. Hansen, Tim B. Dyrby, Kristoffer H. Madsen, Mikkel N. Schmidt, Morten Mørup

  • Frontiers in Handwriting Recognition (2022)

    Date Recognition in Historical Parish Records

    Laura C. Piqueras, Constanza Fierro, Jonas F. Lotz, Phillip Rust, Joen Rommedahl, Jeppe K. Due, Christian Igel, Desmond Elliott, Carsten B. Pedersen, Israfel Salazar, Anders Søgaard

  • IEEE Access (2022)

    Training Data-Driven Speech Intelligibility Predictors on Heterogeneous Listening Test Data

    Mathias B. Pedersen, Asger H. Andersen, Søren H. Jensen, Zheng-Hua Tan, Jesper Jensen

  • Proceedings of the ACM on Human-Computer Interaction (2022)

    Exploring Gaze for Assisting Freehand Selection-based Text Entry in AR

    Mathias N. Lystbæk, Ken Pfeuffer, Jens E. S. Grønbæk, Hans Gellersen

  • Proceedings of the ACM on Human-Computer Interaction (2022)

    Gaze-Hand Alignment: Combining Eye Gaze and Mid-Air Pointing for Interacting with Menus in Augmented Reality

    Mathias N. Lystbæk, Peter Rosenberg, Ken Pfeuffer, Jens E. Grønbæk, Hans Gellersen

  • Journal of Sleep Research (2022)

    Automatic detection of abnormal sleeping patterns in stroke patients using high-frequency sleep staging

    Mathias Perslev, Anders S. West, Sofie A. Simonsen, Laura B. Ponsaing, Helle K. Iversen, Christian Igel, Poul J. Jennum

  • Nature Scientific Data (2022)

    Transition1x – a dataset for building generalizable reactive machine learning potentials

    Mathias Schreiner, Arghya Bhowmik, Tejs Vegge, Jonas Busk, Ole Winther

  • Machine Learning: Science and Technology (2022)

    NeuralNEB—neural networks can find reaction paths fast

    Mathias Schreiner, Arghya Bhowmik, Tejs Vegge, Peter B. Jørgensen, Ole Winther

  • Nature Climate Change

    Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda

    Maurice Mugabowindekwe, Martin Brandt, Jérôme Chave, Florian Reiner, David L. Skole, Ankit Kariryaa, Christian Igel, Pierre Hiernaux, Philippe Ciais, Ole Mertz, Xiaoye Tong, Sizhuo Li, Gaspard Rwanyiziri, Thaulin Dushimiyimana, Alain Ndoli, Valens Uwizeyimana, Jens-Peter B. Lillesø, Fabian Gieseke, Compton J. Tucker, Sassan Saatchi, Rasmus Fensholt

  • Nature Scientific reports (2022)

    Communicate hope to motivate the public during the COVID-19 pandemic

    Michael B. Petersen, Lasse E. Christiansen, Alexander Bor, Marie F. Lindholt, Frederik Jørgensen, Rebecca Adler-Nissen, Andreas Roepstorff, Sune Lehmann J.

  • Nature Scientific reports (2022)

    Growing urban bicycle networks

    Michael Szell, Sayat Mimar, Tyler Perlman, Gourab Ghoshal, Roberta Sinatra

  • Sensors (2022)

    User Based Development and Test of the EXOTIC Exoskeleton: Empowering Individuals with Tetraplegia Using a Compact, Versatile, 5-DoF Upper Limb Exoskeleton Controlled through Intelligent Semi-Automated Shared Tongue Control

    Mikkel B. Thøgersen, Mostafa Mahammadi, Muhammad A. Gull, Stefan H. Bengtson, Frederik V. Kobbelgaard, Bo Bentsen, Benjamin Y. A. Khan, Kåre E. Severinsen, Shaoping Bai, Thomas Bak, Thomas B. Moeslund, Anne M. Kanstrup, Lotte N. S. A. Struijk

  • Association for Computational Linguistics (2022)

    Word Order Does Matter and Shuffled Language Models Know It

    Mostafa Abdou, Vinit Ravishankar, Artut Kulmizev, Anders Søgaard

  • IEEE Transactions on Neural Networks and Learning Systems (2022)

    CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data

    Mostafa M. Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen

  • PLOS Computational Biology (2022)

    Modulation transfer functions for audiovisual speech

    Nicolai F. Pedersen, Torsten Dau, Lars K. Hansen, Jens Hjortkjær

  • Association for Computational Linguistics (2022)

    Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?

    Oliver Eberle, Stephanie Brandl, Jonas Pilot, Anders Søgaard

  • Frontiers in Neuroscience (2022)

    The sense of agency in emerging technologies for human–computer integration: A review

    Patricia Cornelio, Patrick Haggard, Kasper Hornbæk, Orestis Georgiou, Joanna Bergström, Sriram Subramanian, Marianna Obrist

  • IEEE Access (2022)

    The Minimum Overlap-Gap Algorithm for Speech Enhancement

    Poul Hoang, Zheng-Hua Tan, Jan M. de Haan, Jesper Jensen

  • ISME Communications (2022)

    Machine learning and deep learning applications in microbiome research

    Ricardo H. Medina, Svetlana Kutuzova, Knud N. Nielsen, Joachim Johansen, Lars H. Hansen, Mads Nielsen, Simon Rasmussen

  • Computer Graphics forum (2022)

    JOKR: Joint Keypoint Representation for Unsupervised Cross-Doman Motion Retargeting

    Ron Mokady, Rotem Tzaban, Sagie Benaim, Amit H. Bermano, Daniel Cohen-Or

  • Pattern Recognition (2022)

    Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) method

    Satya M. Muddamsetty, Mohammad N.S. Jahromi, Andreea E. Ciontos, Laura M. Fenoy, Thomas B. Moeslund

  • Computers in Industry (2022)

    Different networks for different purposes: A network science perspective on collaboration and communication in an engineering design project

    Sebastiano A. Piccolo, Sune Lehmann J., Anja M. Maier

  • Nature Human Behaviour (2022)

    Sleep during travel balances individual sleep needs

    Sigga S. Jonasdottir, James Bagrow, Sune Lehmann J.

  • Applied Sciences (2022)

    Computer Vision-Based Adaptive Semi-Autonomous Control of an Upper Limb Exoskeleton for Individuals with Tetraplegia

    Stefan H. Bengtson, Mikkel B. Thøgersen, Mostafa Mohammadi, Frederik V. Kobbelgaard, Muhammad A. Gull, Lotte N. S. A. Struijk, Thomas Bak, Thomas B. Moeslund

  • Proceedings of the International AAAI Conference on Web and Social Media (2022)

    Evaluating Deep Taylor Decomposition for Reliability Assessment in the Wild

    Stephanie Brandl, Daniel Hershcovich, Anders Søgaard

  • Behavior Research Methods (2022)

    Eye tracking: empirical foundations for a minimal reporting guideline

    Kenneth Holmqvist, Saga L. Örbom, Ignace T. C. Hooge, Diederick C. Niehorster, Robert G. Alexander, Richard Andersson, Jeroen S. Benjamins, Pieter Blignaut, Anne-Marie Brouwer, Lewis L. Chuang, Kirsten A. Dalrymple, Denis Drieghe, Matt J. Dunn, Ulrich Ettinger, Susann Fiedler, Tom Foulsham, Jos N. van der Geest, Dan W. Hansen, Samuel B. Hutton, Enkelejda Kasneci, Alan Kingstone, Paul C. Knox, Ellen M. Kok, Helena Lee, Joy Y. Lee, Jukka M. Leppänen, Stephen Macknik, Päivi Majaranta, Susana Martinez-Conde, Antje Nuthmann, Marcus Nyström, Jacob L. Orquin, Jorge Otero-Millan, Soon Y. Park, Stanislav Popelka, Frank Proudlock, Frank Renkewitz, Austin Roorda, Michael Schulte-Mecklenbeck, Bonita Sharif, Frederick Shic, Mark Shovman, Mervyn G. Thomas, Ward Venrooij, Raimondas Zemblys, Roy S. Hessels

  • National Science Review (2022)

    Chunyun versus lockdown

    Sune Lehmann J.

  • Nature Scientific reports (2022)

    Quantifying daily rhythms with non-negative matrix factorization applied to mobile phone data

    Talayeh Aledavood, Ilkka Kivimäki, Sune Lehmann J., Jari Saramäki

  • Association for Computational Linguistics (2022)

    The Sensitivity of Annotator Bias to Task Definitions in Argument Mining

    Terne S. T. Jakobsen, Maria Barrett, Anders Søgaard, David Lassen

  • Virtual Reality (2022)

    Step on it: asymmetric gain functions improve starting and stopping in virtual reality walking

    Thomas van Gemert, Kasper Hornbæk, Joanna Bergström

  • International Journal of Human-Computer Studies (2022)

    A user-derived mapping for mid-air haptic experiences

    Tor-salve Dalsgaard, Joanna Bergström, Marianna Obrist, Kasper Hornbæk

  • Nucleic Acids Research (2022)

    DeepLoc 2.0: multi-label subcellular localization prediction using protein language models 

    Vineet Thumuluri, José J. A. Armenteros, Alexander R. Johansen, Henrik Nielsen, Ole Winther

  • Journal of Informetrics (2022)

    Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach

    Yangliu Fan, Sune Lehmann J., Anders Blok

  • Neurocomputing (2022)

    A buffered online transfer learning algorithm with multi-layer network

    Zhongfeng Kang, Bo Yang, Mads Nielsen, Lihui Deng, Shantian Yang

  • Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2022)

    Presenting a Novel Pipeline for Performance Comparison of V-PCC and G-PCC Point Cloud Compression Methods on Datasets with Varying Properties

    Albert Christensen, Daniel Lehotský, Mathias Poulsen, Thomas B. Moeslund

  • Association for Computational Linguistics (2022)

    Modelling Persuasion through Misuse of Rhetorical Appeals

    Amalie Pauli, Leon Derczynski, Ira Assent

  • Association for Computational Linguistics (2022)

    Should We Ban English NLP for a Year?

    Anders Søgaard

  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (2022)

    Joint Far- and Near-End Speech Intelligibility Enhancement Based on the Approximated Speech Intelligibility Index

    Andreas J. Fuglsig, Jan Østergaard, Jesper Jensen, Lars S. Bertelsen, Peter Mariager, Zheng-Hua Tan

  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (2022)

    Semantic Segmentation Guided Real-World Super-Resolution

    Andreas Aakerberg, Anders S. Johansen, Kamal Nasrollahi, Thomas B. Moeslund

  • Association for Computational Linguistics (2022)

    Sliced at SemEval-2022 Task 11: Bigger, Better? Massively Multilingual LMs for Multilingual Complex NER on an Academic GPU Budget

    Barbara Plank

  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (2022)

    Neural Image Recolorization for Creative Domains

    Boyi Li, Serge Belongie, Ser-Nam Lim, Abe Davis

  • 2022 IEEE 95th Vehicular Technology Conference (2022)

    AoI and Throughput Optimization for Hybrid Traffic in Cellular Uplink Using Reinforcement Learning

    Chien-Cheng Wu, Zheng-Hua Tan, Čedomir Stefanović

  • Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2022)

    SieveNet: Estimating the Particle Size Distribution of Kernel Fragments in Whole Plant Corn Silage

    Christoffer B. Rasmussen, Kristian Kirk, Thomas B. Moeslund

  • IEEE/2022 30th European Signal Processing Conference (2022)

    User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars

    Cristian J. Vaca-Rubio, Dariush Salami, Petar Popovski, Elisabeth De Carvalho, Zheng-Hua Tan, Stephan Sigg

  • 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (2022)

    Floor Map Reconstruction Through Radio Sensing and Learning by a Large Intelligent Surface

    Cristian J. Vaca-Rubio, Roberto Pereira, Xavier Mestre, David Gregoratti, Zheng-Hua Tan, Elisabeth De Carvalho, Petar Popovski

  • Medical Image Computing and Computer Assisted Intervention (2022)

    Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer’s Disease Detection

    Eike Petersen, Aasa Feragen, Maria L. da C. Zemsch, Anders Henriksen, Oskar E. W. Christensen, Melanie Ganz

  • Computer Vision – ECCV (2022)

    On Label Granularity and Object Localization

    Elijah Cole, Kimberly Wilber, Grant van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge Belongie, Andrew Howard, Oisin Mac Aodha

  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022)

    When Does Contrastive Visual Representation Learning Work?

    Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin M. Aodha, Serge Belongie

  • Association for Computational Linguistics (2022)

    What Do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification

    Elisa Bassignana, Barbara Plank

  • Association for Computational Linguistics (2022)

    CrossRE: A Cross-Domain Dataset for Relation Extraction

    Elisa Bassignana, Barbara Plank

  • Association for Computational Linguistics (2022)

    Evidence > Intuition: Transferability Estimation for Encoder Selection

    Elisa Bassignana, Max Müller-Eberstein, Mike Zhang, Barbara Plank

  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (2022)

    Summary on the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge

    Fan Yu, Shiliang Zhang, Pengcheng Guo, Yihui Fu, Zhihao Du, Siqi Zheng, Weilong Huang, Lei Xie, Zheng-Hua Tan, DeLiang Wang, Yanmin Qian, Kong A. Lee, Zhijie Yan, Bin Ma, Xin Xu, Hui Bu

  • Computer Vision – ECCV (2022)

    Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset

    Grant van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge Belongie

  • NeurIPS (2022)

    Polynomial Neural Fields for Subband Decomposition and Manipulation

    Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas Funkhouser, Bharath Hariharan, Serge Belongie

  • Computer Vision – ECCV (2022)

    Image-Based CLIP-Guided Essence Transfer

    Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf

  • Proc. IberSPEECH (2022)

    An Experimental Study on Light Speech Features for Small-Footprint Keyword Spotting

    Iván López-Espejo, Zheng-Hua Tan, Jesper Jensen

  • Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2022)

    Detecting Anomalies Reliably in Long-term Surveillance Systems

    Jinsong Liu, Ivan Nikolov, Mark P. Philipsen, Thomas B. Moeslund

  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (2022)

    Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding

    Joachim Nyborg, Charlotte Pelletier, Ira Assent

  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (2022)

    Multi-Task Classification og Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder

    Joakim B. Haurum, Meysam Madadi, Sergio Escalera, Thomas B. Moeslund

  • CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (2022)

    OVRlap: Perceiving Multiple Locations Simultaneously to Improve Interaction in VR

    Jonas Schjerlund, Kasper Hornbæk, Joanna Bergström

  • Proceedings SPIE (2022)

    Exploring loss functions for optimising the accuracy of Siamese neural networks in re-identification applications

    Jonathan E. Schmidt, Oscar E. Mäkinen, Simon G. F. Nielsen, Anders S. Johansen, Kamal Nasrollahi, Thomas B. Moeslund

  • Association for Computational Linguistics (2022)

    Stop Measuring Calibration When Humans Disagree

    Joris Baan, Wilker Aziz, Barbara Plank, Raquel Fernandez

  • Association for Computational Linguistics (2022)

    Fine-tuning vs From Scratch: Do Vision & Language Models Have Similar Capabilities on Out-of-Distribution Visual Question Answering?

    Kristian N. Jensen, Barbara Plank

  • 2022 IEEE International Conference on Image Processing (2022)

    FewGAN: Generating from the Joint Distribution of a Few Images

    Lior Ben-Moshe, Sagie Benaim, Lior Wolf

  • Computer Vision – ECCV (2022)

    MOTCOM: The Multi-Object Tracking Dataset Complexity Metric

    Malte Pedersen, Joakim B. Haurum, Patrick Dendorfer, Thomas B. Moeslund

  • Proceedings of the Northern Lights Deep Learning Workshop (2022)

    Re-Identification of Giant Sunfish using Keypoint Matching

    Malte Pedersen, Joakim B. Haurum, Thomas B. Moeslund, Marianne Nyegaard

  • Computer Vision – ECCV (2022)

    DiffConv: Analyzing Irregular Point Clouds with an Irregular View

    Manxi Lin, Aasa Feragen

  • Proceedings SPIE (2022)

    Autonomous monitoring of finishing pigs using side-view cameras and deep learning

    Mathias S. Lynge, Kasper S. Henriksen, Thomas B. Moeslund

  • Patterns (2023)

    The path toward equal performance in medical machine learning

    Eike Petersen, Sune Holm, Melanie Ganz, Aasa Feragen

  • Association for Computational Linguistics (2022)

    Probing for Labeled Dependency Trees

    Max Müller-Eberstein, Rob van der Goot, Barbara Plank

  • Association for Computational Linguistics (2022)

    Sort by Structure: Language Model Ranking as Dependency Probing

    Max Müller-Eberstein, Rob van der Goot, Barbara Plank

  • Association for Computational Linguistics (2022)

    Spectral Probing

    Max Müller-Eberstein, Rob van der Goot, Barbara Plank

  • Workshop on Interpretable ML in Healthcare at International Conference on Machine Learning (2022)

    Assessing Bias in Medical AI

    Melanie Ganz, Sune H. Holm, Aasa Feragen

  • Computer Vision – ECCV (2022)

    Visual Prompt Tuning

    Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, Ser-Nam Lim

  • Association for Computational Linguistics (2022)

    SkillSpan: Hard and Soft Skill Extraction from English Job Postings

    Mike Zhang, Kristian Jensen, Sif Sonniks, Barbara Plank

  • Association for Computational Linguistics (2022)

    Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning

    Mike Zhang, Kristian N. Jensen, Barbara Plank

  • Advances in Visual Computing (2022)

    Real-World Thermal Image Super-Resolution

    Moaaz M. J. Allahham, Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund

  • Intelligent Systems and Applications (2022)

    Attention-Enabled Object Detection to Improve One-Stage Tracker

    Neelu Madan, Kamal Nasrollahi, Thomas B. Moeslund

  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022)

    Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection

    Nicolae-Cătălin Ristea, Neelu Madan, Radu T. Ionescu, Kamal Nasrollahi, Fahad S. Khan, Thomas B. Moeslund, Mubarak Shah

  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022)

    Text2Mesh: Text-Driven Neural Stylization for Meshes

    Oscar Michel, Roi Bar-On, Richard Liu, Sagie Beniam, Rana Hanocka

  • Medical Image Computing and Computer Assisted Intervention (2022)

    Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification

    Pengfei Diao, Akshay Pai, Christian Igel, Christian H. Krag

  • The European Acoustics Association (2022)

    A parameter-conditional neural network framework for modelling parameterized auditory models

    Peter A. L. Bysted, Jesper Jensen, Zheng-Hua Tan, Jan Østergaard, Lars Bramsløw

  • Association for Computational Linguistics (2022)

    Are Multilingual Sentiment Models Equally Right for the Right Reasons?

    Rasmus Jørgensen, Fiammetta Caccavale, Christian Igel, Anders Søgaard

  • ETRA '22: 2022 Symposium on Eye Tracking Research and Applications (2022)

    Real-time head-based deep-learning model for gaze probability regions in collaborative VR

    Riccardo Bovo, Daniele Giunchi, Ludwig Sidenmark, Hans Gellersen, Enrico Costanza, Thomas Heinis

  • Association for Computational Linguistics (2022)

    Frustratingly Easy Performance Improvements for Low-resource Setups: A Tale on BERT and Segment Embeddings

    Rob van der Goot, Max Müller-Eberstein, Barbara Plank

  • MMSports '22: Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports (2022)

    SoccerNet 2022 Challenges Results

    Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun C. Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. A. Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José H. Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel S. Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc C. Pham, Ralph Ewerth, Ran Song, Rengang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El-Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei Zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, Yaqian Zhao, Yi Yu, Yingying Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li

  • Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2022)

    Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes

    Simon B. Jensen, Thomas B. Moeslund, Søren J. Andreasen

  • 2021 IEEE Global Communications Conference (2022)

    Direct Analytics of Generalized Deduplication Compressed IoT Data

    Aaron Hurst, Qi Zhang, Daniel E. Lucani, Ira Assent

  • The Journal of Politics (2021)

    Diffusing Political Concerns: How Unemployment Information Passed between Social Ties Influences Danish Voters

    James E. Alt, Amalie Jensen, Horacio Larreguy, David D. Lassen, John Marshall

  • KI - Künstliche Intelligenz (2023)

    Remember to correct the bias when using deep learning for regression!

    Christian Igel, Stefan Oehmcke

  • PNAS Nexus (2023)

    Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale

    Sizhuo Li, Martin Brandt, Rasmus Fensholt, Ankit Kariryaa, Christian Igel, Fabian Gieseke, Thomas Nord-Larsen, Stefan Oehmcke, Ask Holm Carlsen, Samuli Junttila, Xiaoye Tong, Alexandre d’Aspremont, Philippe Ciais

  • Nature Communications (2023)

    More than one quarter of Africa’s tree cover is found outside areas previously classified as forest

    Florian Reiner, Martin Brandt, Xiaoye Tong, David Skole, Ankit Kariryaa, Philippe Ciais, Andrew Davies, Pierre Hiernaux, Jérôme Chave, Maurice Mugabowindekwe, Christian Igel, Stefan Oehmcke, Fabian Gieseke, Sizhuo Li, Siyu Liu, Sassan Saatchi, Peter Boucher, Jenia Singh, Simon Taugourdeau, Morgane Dendoncker, Xiao-Peng Song, Ole Mertz, Compton J. Tucker, Rasmus Fensholt

  • Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track (2022)

    Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning

    Sebastian Weichwald, Søren W. Mogensen, Tabitha E. Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister

  • Journal of the American Statistical Association (2022)

    Toward Causal Inference for Spatio-Temporal Data: Conflict and Forest Loss in Colombia

    Rune Christiansen, Matthias Baumann, Tobias Kuemmerle, Miguel D. Mahecha, Jonas Peters

  • Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence (2022)

    Identifiability of Sparse Causal Effects using Instrumental Variables

    Niklas Pfister, Jonas Peters

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (2022)

    A causal framework for distribution generalization

    Rune Christiansen, Niklas Pfister, Martin E. Jakobsen, Nicola Gnecco, Jonas Peters

  • The Econometrics Journal (2022)

    Distributional robustness of K-class estimators and the PULSE

    Martin E. Jakobsen, Jonas Peters

  • Proceedings of the 39th International Conference on Machine Learning (2022)

    Exploiting Independent Instruments: Identification and Distribution Generalization

    Sorawit Saengkyongam, Leonard Henckel, Niklas Pfister, Jonas Peters

  • Proceedings of the 39th International Conference on Machine Learning (2022)

    Invariant Ancestry Search

    Phillip B. Mogensen, Nikolaj Thams, Jonas Peters

  • Journal of Machine Learning Research (2022)

    Structure Learning for Directed Trees

    Martin E. Jakobsen, Rajen D. Shah, Peter Bühlmann, Jonas Peters

  • IEEE/ACM Transactions on Audio, Speech, and Language Processing (2022)

    Multichannel Speech Enhancement With Own Voice-Based Interfering Speech Suppression for Hearing Assistive Devices

    Poul Hoang, Jan M. de Haan, Zheng-Hua Tan, Jesper Jensen

  • Frontiers in Plant Science (2022)

    The Herbarium 2021 Half–Earth Challenge Dataset and Machine Learning Competition

    Riccardo de Lutio, John Y. Park, Kimberly A. Watson, Stefano D'Aronco, Jan D. Wegner, Jan J. Wieringa, Melissa Tulig, Richard L. Pyle, Timothy J. Gallaher, Gillian Brown, Gordon Guymer, Andrew Franks, Dhahara Ranatunga, Yumiko Baba, Serge J. Belongie, Fabián A. Michelangeli, Barbara A. Ambrose, Damon P. Little

  • IEEE Access (2022)

    iVAE-GAN: Identifiable VAE-GAN Models for Latent Representation Learning

    Bjørn U. Dideriksen, Kristoffer Derosche, Zheng-Hua Tan

  • 2021 IEEE International Conference on Big Data (2021)

    Weakly-Supervised Cloud Detection with Fixed-Point GANs

    J. Nyborg, I. Assent

  • Association for Computational Linguistics (2021)

    A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs

    M. Hartmann, M. de Lhoneux, D. Hershcovich, Y. Kementchedjhieva, L. Nielsen, C. Qiu, A. Søgaard

  • Association for Computational Linguistics (2021)

    Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color

    M. Abdou, A. Kulmizev, D. Hershcovich, S. Frank, E. Pavlick, A. Søgaard

  • Association for Computational Linguistics (2021)

    On Language Models for Creoles

    H. Lent, E. Bugliarello, M. de Lhoneux, C. Qiu, A. Søgaard

  • Association for Computational Linguistics (2021)

    How Universal is Genre in Universal Dependencies?

    M. Müller-Eberstein, R. van der Goot, B. Plank

  • Iproceedings (2021)

    Explainability of Convolutional Neural Networks for Dermatological Diagnosis

    R. Jalaboi, M. O. Arteaga, D. R. Jørgensen, I. Manole, O. I. Bozdog, A. Chiriac, O. Winther, A. Galimzianova

  • Journal of Magnetic Resonance Imaging (2021)

    Cross-Cohort Automatic Knee MRI Segmentation With Multi-Plana U-Nets

    M. Perslev, A. Pai, J. Runhaar, C. Igel, E. B. Dam

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (2021)

    Fine-Grained Image Analysis with Deep Learning: A Survey

    X. -S. Wei, Y. -Z. Song, O. M. Aodha, J. Wu, Y. Peng, J. Tang, J. Yang, S. Belongie

  • Journal of Artificial Intelligence Research (2021)

    Learning from Disagreement: A Survey

    A. N. Uma, T. Fornaciari, D. Hovy, S. Paun, B. Plank, M. Poesio

  • IEEE Access (2021)

    Deep Spoken Keyword Spotting: An Overview

    I. López-Espejo, Z. -H. Tan, J. H. L. Hansen, J. Jensen