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Publication search results
found 84 matches
- 2024
- Julian Eisenschlos, Hernán Maina, Guido Ivetta, Luciana Benotti:
Selectively Answering Visual Questions. ACL (Findings) 2024: 4219-4229 - Jiayu Song, Jenny Chim, Adam Tsakalidis, Julia Ive, Dana Atzil-Slonim, Maria Liakata:
Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media. ACL (Findings) 2024: 14651-14672 - Falwah Alhamed, Julia Ive, Lucia Specia:
Classifying Social Media Users before and after Depression Diagnosis via Their Language Usage: A Dataset and Study. LREC/COLING 2024: 3250-3260 - Vjosa Preniqi, Iacopo Ghinassi, Julia Ive, Charalampos Saitis, Kyriaki Kalimeri:
MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions. GoodIT 2024: 433-442 - Piumi Sandarenu, Julia Chen, Iveta Slapetova, Lois Browne, Peter H. Graham, Alexander Swarbrick, Ewan K. A. Millar, Yang Song, Erik Meijering:
Semi-Supervised Variational Autoencoder for Cell Feature Extraction In Multiplexed Immunofluorescence Images. ISBI 2024: 1-5 - Mohammed Ataaur Rahaman, Julia Ive:
Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection. NAACL (Student Research Workshop) 2024: 168-199 - Falwah Alhamed, Rebecca Bendayan, Julia Ive, Lucia Specia:
Monitoring Depression Severity and Symptoms in User-Generated Content: An Annotation Scheme and Guidelines. WASSA 2024: 227-233 - Jiayu Song, Jenny Chim, Adam Tsakalidis, Julia Ive, Dana Atzil-Slonim, Maria Liakata:
Clinically meaningful timeline summarisation in social media for mental health monitoring. CoRR abs/2401.16240 (2024) - Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy P. Lillicrap, Jean-Baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, Ioannis Antonoglou, Rohan Anil, Sebastian Borgeaud, Andrew M. Dai, Katie Millican, Ethan Dyer, Mia Glaese, Thibault Sottiaux, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, James Molloy, Jilin Chen, Michael Isard, Paul Barham, Tom Hennigan, Ross McIlroy, Melvin Johnson, Johan Schalkwyk, Eli Collins, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, Clemens Meyer, Gregory Thornton, Zhen Yang, Henryk Michalewski, Zaheer Abbas, Nathan Schucher, Ankesh Anand, Richard Ives, James Keeling, Karel Lenc, Salem Haykal, Siamak Shakeri, Pranav Shyam, Aakanksha Chowdhery, Roman Ring, Stephen Spencer, Eren Sezener, et al.:
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. CoRR abs/2403.05530 (2024) - Mariia Ignashina, Julia Ive:
Safe Training with Sensitive In-domain Data: Leveraging Data Fragmentation To Mitigate Linkage Attacks. CoRR abs/2404.19486 (2024) - Julian Martin Eisenschlos, Hernán Maina, Guido Ivetta, Luciana Benotti:
Selectively Answering Visual Questions. CoRR abs/2406.00980 (2024) - Piumi Sandarenu, Julia Chen, Iveta Slapetova, Lois Browne, Peter H. Graham, Alexander Swarbrick, Ewan K. A. Millar, Yang Song, Erik Meijering:
Semi-supervised variational autoencoder for cell feature extraction in multiplexed immunofluorescence images. CoRR abs/2406.15727 (2024) - Vjosa Preniqi, Iacopo Ghinassi, Julia Ive, Kyriaki Kalimeri, Charalampos Saitis:
Automatic Detection of Moral Values in Music Lyrics. CoRR abs/2407.18787 (2024) - 2023
- Ram Popat, Julia Ive:
Embracing the uncertainty in human-machine collaboration to support clinical decision-making for mental health conditions. Frontiers Digit. Health 5 (2023) - Atijit Anuchitanukul, Julia Ive, Lucia Specia:
Revisiting Contextual Toxicity Detection in Conversations. ACM J. Data Inf. Qual. 15(1): 6:1-6:22 (2023) - Janka Boborová, Iveta Balintová, Júlia Pukancová, Martin Homola:
Merge, Explain, Iterate: A Combination of MHS and MXP in an ABox Abduction Solver (Extended Abstract). Description Logics 2023 - Maximilian Kleissl, Lukas Drews, Benedict B. Heyder, Julian Zabbarov, Pascal Iversen, Simon Witzke, Bernhard Y. Renard, Katharina Baum:
SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data. Tiny Papers @ ICLR 2023 - Tzu-Han Zoe Cheng, Kuan-Lin Chen, Juliane Schubert, Ya-Ping Chen, Tim Brown, John Iversen:
Similar Hierarchical Representation of Speech and Other Complex Sounds In the Brain and Deep Residual Networks: An MEG Study. INTERSPEECH 2023: 5182-5186 - Martin Homola, Júlia Pukancová, Janka Boborová, Iveta Balintová:
Merge, Explain, Iterate: A Combination of MHS and MXP in an ABox Abduction Solver. JELIA 2023: 338-352 - Pietro Melzi, Hatef Otroshi-Shahreza, Christian Rathgeb, Ruben Tolosana, Rubén Vera-Rodríguez, Julian Fiérrez, Sébastien Marcel, Christoph Busch:
Multi-IVE: Privacy Enhancement of Multiple Soft-Biometrics in Face Embeddings. WACV (Workshops) 2023: 323-331 - Maximilian Kleissl, Lukas Drews, Benedict B. Heyder, Julian Zabbarov, Pascal Iversen, Simon Witzke, Bernhard Y. Renard, Katharina Baum:
SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data. CoRR abs/2304.04000 (2023) - Mohammed Ataaur Rahaman, Julia Ive:
Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection. CoRR abs/2312.16488 (2023) - 2022
- Julia Ive:
Natural Language Processing: A Machine Learning Perspective by Yue Zhang and Zhiyang Teng. Comput. Linguistics 48(1): 233-235 (2022) - Julia Ive:
Leveraging the potential of synthetic text for AI in mental healthcare. Frontiers Digit. Health 4 (2022) - Martin Homola, Júlia Pukancová, Iveta Balintová, Janka Boborová:
Hybrid MHS-MXP ABox Abduction Solver: First Empirical Results. Description Logics 2022 - Atijit Anuchitanukul, Julia Ive:
SURF: Semantic-level Unsupervised Reward Function for Machine Translation. NAACL-HLT 2022: 4508-4522 - Ashwani Tanwar, Jingqing Zhang, Julia Ive, Vibhor Gupta, Yike Guo:
Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge. CoRR abs/2204.10202 (2022) - Heng-Yi Wu, Jingqing Zhang, Julia Ive, Tong Li, Narges Tabari, Bingyuan Chen, Vibhor Gupta, Yike Guo:
Medical Scientific Table-to-Text Generation with Human-in-the-Loop under the Data Sparsity Constraint. CoRR abs/2205.12368 (2022) - Hongshu Liu, Nabeel Seedat, Julia Ive:
Modeling Disagreement in Automatic Data Labelling for Semi-Supervised Learning in Clinical Natural Language Processing. CoRR abs/2205.14761 (2022) - Damith Chamalke Senadeera, Julia Ive:
Controlled Text Generation using T5 based Encoder-Decoder Soft Prompt Tuning and Analysis of the Utility of Generated Text in AI. CoRR abs/2212.02924 (2022)
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