logo Idiap Research Institute        
All publications sorted by author
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 |


M

Deeply Vulnerable -- a study of the robustness of face recognition to presentation attacks, Amir Mohammadi, Sushil Bhattacharjee and Sébastien Marcel, in: IET (The Institution of Engineering and Technology) -- Biometrics:1--13, 2017
attachment
[DOI]
Humans as Feature Extractors: Combining Prosody and Personality Perception for Better Speaking Style Recognition, Gelareh Mohammadi and Alessandro Vinciarelli, in: Proceeding of IEEE Int Conference on Systems, Man, and Cybernetics - Special Sessions, 2011
attachment
Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task, Alireza Mohammadshahi, Karl Aberer and Rémi Lebret, in: Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER), Hong Kong, pages 27-33, Association for Computational Linguistics, 2019
[DOI]
[URL]
Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling, Alireza Mohammadshahi and James Henderson, in: Procceedings of 8th Workshop on Representation Learning for NLP, 2023
[URL]
Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, Alireza Mohammadshahi and James Henderson, in: Transactions of the Association for Computational Linguistics (2021), 9:18, 2021
attachment
[DOI]
[URL]
Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, Alireza Mohammadshahi and James Henderson, in: Transactions of the Association for Computational Linguistics(under submission), 2020
Graph-to-Graph Transformer for Transition-based Dependency Parsing, Alireza Mohammadshahi and James Henderson, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2020
attachment
[URL]
Graph-to-Graph Transformer for Transition-based Dependency Parsing, Alireza Mohammadshahi and James Henderson, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, ACL, Online, pages 3278–3289, Association for Computational Linguistics, 2020
attachment
[URL]
Semantic Behavior Analysis of COVID-19 Patients: A Collaborative Framework, Amlan Mohanty, Debasish Kumar Mallick, Shantipriya Parida and Satya Ranjan Dash, in: Machine Learning for Healthcare Applications, John Wiley & Sons, Inc. USA and Scrivener Publishing LLC, USA, 2021
[URL]
Incremental Enrollment of Speech Recognizers, Chafic Mokbel and Olivier Collin, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'99,',','), Phoenix, Arizona, USA, 1999
Learning the structure of image collections with latent aspect models, Florent Monay, École Polytechnique Fédérale de Lausanne, 2007
attachment
Modeling semantic aspects for cross-media image indexing, Florent Monay and Daniel Gatica-Perez, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
attachment
PLSA-based Image Auto-Annotation: Constraining the Latent Space, Florent Monay and Daniel Gatica-Perez, in: Proc. ACM Int. Conf. on Multimedia (ACM MM), 2004
attachment
On Image Auto-Annotation with Latent Space Models, Florent Monay and Daniel Gatica-Perez, in: Proc. ACM Int. Conf. on Multimedia (ACM MM), 2003
attachment
Constructing visual models with a latent space approach, Florent Monay, Pedro Quelhas, Daniel Gatica-Perez and Jean-Marc Odobez, in: the Springer series of Lecture Notes in Computer Science, 2006
attachment
Contextual classification of image patches with latent aspect models, Florent Monay, Pedro Quelhas, Jean-Marc Odobez and Daniel Gatica-Perez, in: EURASIP Journal on Image and Video Processing, Special Issue on Patches in Vision, 2009
attachment
Data-driven Urban Building Energy Modeling with Machine Learning in Satom (CH), Ahad Montazeri, Jérôme Kämpf and Guglielmina Mutani, in: 6th International IEEE Conference AND Workshop in Obuda on Electrical and Power Engineering, 2023
Discovering Human Places of Interest from Multimodal Mobile Phone Data, Raul. Montoliu and Daniel Gatica-Perez, in: Proceedings of 9th International Conference on on Mobile and Ubiquitous Multimedia (MUM,',','), Limassol, Cyprus, 2010
attachment
Juicer: A Weighted Finite-State Transducer speech decoder, Darren Moore, John Dines, Mathew Magimai.-Doss, Jithendra Vepa, Octavian Cheng and Thomas Hain, in: 3rd Joint Workshop on Multimodal Interaction and Related Machine LEarning Algorithms MLMI'06, 2006
attachment
Microphone Array Speech Recognition : Experiments on Overlapping Speech in Meetings, Darren Moore and Iain A. McCowan, in: Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-03), 2003
attachment
The use of Boolean concepts in general classification contexts, Miguel Moreira, Ecole Polytechnique Federale de Lausanne, 2000
attachment
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 |