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Discovering Places of Interest in Everyday Life from Smartphone Data, , and , in: Multimedia Tools and Applications, 2012 |
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Discovering Routines from Large-Scale Human Locations using Probabilistic Topic Models, and , in: ACM Transactions on Intelligent Systems and Technology, 2(1), 2011 |
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Discovering Temporal Patterns in Water Quality Time Series, Focusing on Floods with the LDA method, , , , , , , and , in: European Geosciences Union, 2013 |
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Discrete All-Positive Multilayer Perceptrons for Optical Implementation, , and , in: Optical Engineering, 37(4), 1998 |
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Discrete All-Positive Multilayer Perceptrons for Optical Implementation, , and , Idiap-RR-02-1997 |
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Discriminant linear processing of time-frequency plane, and , in: International Conference on Spoken Language Processing, 2006 |
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Discriminant linear processing of time-frequency plane, and , Idiap-RR-20-2006 |
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Discrimination of the voices of twins and siblings for speaker verification, and , in: 4th European Conference on Speech Communication and Technology, 1995 |
Discriminative Cue Integration for Medical Image Annotation, , and , Idiap-RR-64-2007 |
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Discriminative cue integration for medical image annotation, , and , in: Pattern Recognition Letters, 2008 |
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Discriminative Kernel-Based Phoneme Sequence Recognition, , , , and , Idiap-RR-14-2006 |
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Discriminative Kernel-Based Phoneme Sequence Recognition, , , , and , in: The 9th International Conference on Spoken Language Processing (INTERSPEECH), Pittsburgh, PA, 2006 |
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Discriminative Keyword Spotting, , and , in: Workshop on Non-Linear Speech Processing, Paris, France, 2007 |
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Discriminative Keyword Spotting, , and , in: Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, John Wiley and Sons, 2009 |
Discriminative Keyword Spotting, , and , in: Speech Communication, 51(4), 2009 |
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Discriminatove Keyword Spotting, , and , Idiap-RR-31-2008 |
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Discrmininant Models for Text-independent Speaker Verification, , Idiap-RR-70-2006 |
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Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders, and , in: The 2021 Conference on Empirical Methods in Natural Language Processing, 2021 |
Distinguishing the Popularity Between Topics: A System for Up-to-date Opinion Retrieval and Mining in the Web, , and , in: Proceedings of the 14th International Conference on Intelligent Text Processing and Computational Linguistics, LNCS, Samos, Greece, ACM, 2013 |
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District heating network modelling for future integration of solar thermal energy, , , and , in: Journal of Physics: Conference Series, pages 012089, IOP Publishing, 2021 |
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Dites-Moi: Wearable Feedback on Conversational Behavior, , , and , in: Proceedings of the 15th International Conference on Mobile and Ubiquitous Multimedia, 2016 |
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Diverse Keyword Extraction from Conversations, and , in: Proceedings of the ACL 2013 (51th Annual Meeting of the Association for Computational Linguistics ), Short Papers, Sofia, Bulgaria, pages 651-657, ACL, 2013 |
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Diversity and neocolonialism in Big Data research: Avoiding extractivism while struggling with paternalism, , , , , , and , in: Big Data & Society, 2023 |
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DNN based speaker embedding using content information for text-dependent speaker verification, , , and , Idiap-RR-06-2018 |
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DNN based speaker embedding using content information for text-dependent speaker verification, , , and , in: Proceedings of 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018 |
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DNN-based Speech Synthesis: Importance of input features and training data, , and , in: International Conference on Speech and Computer , SPECOM, pages 193-200, Springer Berlin Heidelberg, 2015 |
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Do Backpropagation trained neural networks have normal weight distributions?, and , in: International Conference on Artificial neural Networks, 1993 |
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Do different drinks make you feel different emotions? Examination of young adolescents' beverage-specific alcohol expectancies using the Alcohol Expectancy Task, , , and , in: Addictive Behaviors, 2020 |
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Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards, , and , in: 14th International Conference on Computational Semantics, 2021 |
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Document-Level Neural Machine Translation with Hierarchical Attention Networks, , , and , in: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018 |
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Document-level Text Simplification with Coherence Evaluation, , , and , in: Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability, 2023 |
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Does Data-Efficient Generalization Exacerbate Bias in Foundation Models?, , , , , and , in: Proceedings of the 18th European Conference on Computer Vision, 2024 |
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Does My Representation Capture X? Probe-Ably, , , , and , in: 59th Annual Meeting of the Association for Computational Linguistics (Demonstration track), 2021 |
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Domain Adaptation and Investigation of Robustness of DNN-based Embeddings for Text-Independent Speaker Verification Using Dilated Residual Networks, , and , Idiap-RR-10-2019 |
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DOMAIN ADAPTATION FOR GENERALIZATION OF FACE PRESENTATION ATTACK DETECTION IN MOBILE SETTINGS WITH MINIMAL INFORMATION, , and , in: 45th International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, IEEE, 2020 |
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Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-Spoofing, , and , in: International Conference on Biometrics 2019, IEEE, 2019 |
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Domain-Adversarial Based Model with Phonological Knowledge for Cross-Lingual Speech Recognition, , , , , and , in: Electronics, 10(24):1-15, 2021 |
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Domain-Specific Adaptation of CNN for Detecting Face Presentation Attacks in NIR, , , , , , , and , in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2022 |
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Domain-specific language model adaptation: a case study, , and , Idiap-Com-01-2013 |
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Drinks & Crowds: Characterizing Alcohol Consumption through Crowdsensing and Social Media, , and , in: Journal and Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT '19), 2019 |
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DrinkSense: Characterizing Youth Drinking Behavior using Smartphones, , , , , and , in: IEEE Transactions on Mobile Computing, 2018 |
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drozBot: Using Ergodic Control to Draw Portraits, , and , in: IEEE Robotics and Automation Letters:7, 2022 |
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DynaBoost: Combining Boosted Hypotheses in a Dynamic Way, and , Idiap-RR-09-1999 |
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Dynamic Bayesian Network Based Speech Recognition with Pitch and Energy as Auxiliary Variables, , , and , in: 2002 IEEE International Workshop on Neural Networks for for Signal Processing (NNSP~2002), 2002 |
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Dynamic Bayesian Network Based Speech Recognition with Pitch and Energy as Auxiliary Variables, , , and , Idiap-RR-24-2002 |
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Dynamic Graffiti Stylisation with Stochastic Optimal Control, , and , in: Intl Workshop on movement and computing (MOCO), London, UK, pages 1-8, ACM, 2017 |
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Dynamic Partitioned Sampling For Tracking With Discriminative Features, , and , in: Proceedings of the British Maschine Vision Conference, London, 2009 |
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Dynamic Programming Boosting for Discriminative Macro-Action Discovery, and , in: International Conference on Machine Learning, 2014 |
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Dynamic structure and protein expression of the live embryonic heart captured by 2-photon light sheet microscopy and retrospective registration, , , , , and , in: Biomedical Optics Express, 6(6):2056-2066, 2015 |
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Dynamical Dirichlet Mixture Model, , and , Idiap-RR-02-2007 |
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