Daniel Beck

Orcid: 0000-0001-9560-2773

According to our database1, Daniel Beck authored at least 52 papers between 2006 and 2023.

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Bibliography

2023
Disease progression modelling of Alzheimer's disease using probabilistic principal components analysis.
NeuroImage, September, 2023

Graph embedding-based link prediction for literature-based discovery in Alzheimer's Disease.
J. Biomed. Informatics, September, 2023

On the Effectiveness of Images in Multi-modal Text Classification: An Annotation Study.
ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2023

Bedeutung und Nutzen von Predictive Analytics für metallbasierte additive Fertigungssysteme.
PhD thesis, 2023

Modelling Emotion Dynamics in Song Lyrics with State Space Models.
Trans. Assoc. Comput. Linguistics, 2023

PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.
CoRR, 2023

MMT's Submission for the WMT 2023 Quality Estimation Shared Task.
Proceedings of the Eighth Conference on Machine Translation, 2023

Performance Prediction via Bayesian Matrix Factorisation for Multilingual Natural Language Processing Tasks.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Team: PULSAR at ProbSum 2023: PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Predicting Empathic Accuracy from User-Designer Interviews.
Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association, 2023

2022
Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression.
Trans. Assoc. Comput. Linguistics, 2022

2021
Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach.
BMC Bioinform., 2021

Generating Diverse Descriptions from Semantic Graphs.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

On the (In)Effectiveness of Images for Text Classification.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
BOSS: Bayesian Optimization over String Spaces.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Neural Speech Translation using Lattice Transformations and Graph Networks.
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Accelerated Query Processing Via Similarity Score Prediction.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

A Unified Neural Architecture for Instrumental Audio Tasks.
Proceedings of the IEEE International Conference on Acoustics, 2019

On the Role of Scene Graphs in Image Captioning.
Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge, 2019

Modelling Uncertainty in Collaborative Document Quality Assessment.
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

2018
The role of IT in automotive supplier supply chains.
J. Enterp. Inf. Manag., 2018

Graph-to-Sequence Learning using Gated Graph Neural Networks.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Learning Kernels over Strings using Gaussian Processes.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Modelling Representation Noise in Emotion Analysis using Gaussian Processes.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2016
Word embeddings and discourse information for Quality Estimation.
Proceedings of the First Conference on Machine Translation, 2016

SHEF-MIME: Word-level Quality Estimation Using Imitation Learning.
Proceedings of the First Conference on Machine Translation, 2016

USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization.
Proceedings of the NAACL HLT 2016, 2016

Exploring Prediction Uncertainty in Machine Translation Quality Estimation.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

2015
Learning Structural Kernels for Natural Language Processing.
Trans. Assoc. Comput. Linguistics, 2015

Seed: a user-friendly tool for exploring and visualizing microbial community data.
Bioinform., 2015

Machine learning classifiers provide insight into the relationship between microbial communities and bacterial vaginosis.
BioData Min., 2015

SHEF-NN: Translation Quality Estimation with Neural Networks.
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

2014
SHEF-Lite 2.0: Sparse Multi-task Gaussian Processes for Translation Quality Estimation.
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

Applying machine learning techniques in detecting Bacterial Vaginosis.
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

GA-based selection of vaginal microbiome features associated with bacterial vaginosis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Joint Emotion Analysis via Multi-task Gaussian Processes.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Bayesian Kernel Methods for Natural Language Processing.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Detecting bacterial vaginosis using machine learning.
Proceedings of the 2014 ACM Southeast Regional Conference, Kennesaw, GA, USA, March 28, 2014

2013
SHEF-Lite: When Less is More for Translation Quality Estimation.
Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

Reducing Annotation Effort for Quality Estimation via Active Learning.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Reinforcement learning for Golog programs with first-order state-abstraction.
Log. J. IGPL, 2012

mcaGUI: microbial community analysis R-Graphical User Interface (GUI).
Bioinform., 2012

Plan Recognition by Program Execution in Continuous Temporal Domains.
Proceedings of the KI 2012: Advances in Artificial Intelligence, 2012

Representing Value Functions with Recurrent Binary Decision Diagrams.
Proceedings of the ECAI 2012, 2012

2011
OTUbase: an R infrastructure package for operational taxonomic unit data.
Bioinform., 2011

2010
Design Principles of the Component-Based Robot Software Framework Fawkes.
Proceedings of the Simulation, Modeling, and Programming for Autonomous Robots, 2010

2009
Robust Collision Avoidance in Unknown Domestic Environments.
Proceedings of the RoboCup 2009: Robot Soccer World Cup XIII [papers from the 13th annual RoboCup International Symposium, Graz, Austria, June 29, 2009

2008
Landmark-Based Representations for Navigating Holonomic Soccer Robots.
Proceedings of the RoboCup 2008: Robot Soccer World Cup XII [papers from the 12th annual RoboCup International Symposium, 2008

2007
A Simulation Environment for Middle-Size Robots with Multi-level Abstraction.
Proceedings of the RoboCup 2007: Robot Soccer World Cup XI, 2007

2006
Automatic Testing and Evaluation of Multilingual Language Technology Resources and Components.
Proceedings of the Fifth International Conference on Language Resources and Evaluation, 2006


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