Data Science and Artificial Intelligence

Research output

Research output per year 1989 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2023

• 662 Conference contribution
• 658 Article
• 108 Paper
• 37 Chapter
• 177 More
  • 31 Chapter (peer-reviewed)
  • 27 Poster
  • 21 Abstract
  • 16 Preprint
  • 13 Working paper
  • 11 Editorial
  • 9 Review article
  • 7 Book
  • 7 Meeting abstract
  • 5 Comment/debate
  • 5 Other contribution
  • 3 Entry for encyclopedia/dictionary
  • 3 Other chapter contribution
  • 3 Book/Film/Article review
  • 3 Special issue
  • 2 Commissioned report
  • 2 Other report
  • 2 Letter
  • 2 Data set/Database
  • 2 Patent
  • 1 Other
  • 1 Web publication/site
  • 1 Doctoral Thesis

Research output per year

Research output per year

Search results

• 2023

  Ctrl-TNDM: Decoding feedback-driven movement corrections from motor cortex neurons

  Kudryashova, N., Perich, M. G., Miller, L. E. & Hennig, M. H., 10 Mar 2023. 1 p.

  Research output: Contribution to conference › Poster › peer-review

  File

  • Modeling 100%
  • Models 100%
  • Movement (Physiology) 100%
  • Feedback System 100%
  • Behavior (Neuroscience) 100%
• 2021

  GPy-ABCD: A Configurable Automatic Bayesian Covariance Discovery Implementation

  Fletcher, T., Bundy, A. & Nuamah, K., 23 Jul 2021, (E-pub ahead of print). 1 p.

  Research output: Contribution to conference › Poster › peer-review

  Open Access

  File

  • Covariance 100%
  • Bayesian 100%
  • Models 100%
  • Gaussian Process 75%
  • Correlation 50%
• 2020

  Parametric Copula-GP model reveals tuning of neuronal and behavioral relationships to visual stimuli

  Kudryashova, N., Amvrosiadis, T., Dupuy, N., Rochefort, N. & Onken, A., 1 Mar 2020. 1 p.

  Research output: Contribution to conference › Poster › peer-review

  • Gaussian Process 100%
  • Visual Stimulus 100%
  • Process Model 100%
  • Dependent Personality Disorder 100%
  • Models 66%

• Variational Autoencoders for Opponent Modeling in Multi-Agent Systems

  Papoudakis, G. & Albrecht, S. V., 8 Feb 2020. 8 p.

  Research output: Contribution to conference › Poster › peer-review

  Open Access

  • Opponent Modeling 100%
  • Multi Agent Systems 100%
  • Autoencoder 100%
  • Modeling 66%
  • Models 66%
• 2019

  Scalable Extreme Deconvolution

  Ritchie, J. & Murray, I., 14 Dec 2019. 7 p.

  Research output: Contribution to conference › Poster › peer-review

  Open Access

  File

  • Deconvolution 100%
  • Data Set 100%
  • Fitting 50%
  • Observation 50%
  • Large Data Set 50%

• Climate Data Access: Re-thinking our Data Analysis Workflows

  Page, C. M., Plieger, M., Cerff, W. S., de Vreede, E., Drost, N., Klampanos, I. A., Karkaletsis, V., Atkinson, M. & Pivan, X., 24 Sept 2019, (E-pub ahead of print). 1 p.

  Research output: Contribution to conference › Poster › peer-review

  Open Access

• Parametric copula models reveal neuronal and behavioral time-dependent relationships in primary visual cortex

  Kudryashova, N., Amvrosiadis, T., Dupuy, N., Rochefort, N. & Onken, A., 19 Sept 2019. 1 p.

  Research output: Contribution to conference › Poster › peer-review

  Open Access

  • Primary Visual Cortex 100%
  • Models 100%
  • Visual Cortex 100%
  • Copula 100%
  • Dependent Personality Disorder 50%
• 2018

  Deep multimodal autoencoders for identifying latent representations of spike counts and local field potentials

  Onken, A., Yague, J. & Sakata, S., 27 Sept 2018.

  Research output: Contribution to conference › Poster › peer-review

  Open Access

  • Representation 100%
  • Autoencoder 100%
  • Local Field Potential 100%
  • Basal Forebrain 80%
  • Auditory Cortex 80%
• 2017

  Community detection identifies a subnetwork of the synaptic proteome associated with differences in educational attainment

  Robertson, G., McLean, C., Sorokina, O., C, D., Wysocka, E., Heil, K., Hill, W. D., Simpson, T., Armstrong, J. D. & Deary, I., 22 Mar 2017.

  Research output: Contribution to conference › Poster › peer-review

  • Proteome 100%
  • Mental Capacity 100%
  • Protein 80%
  • Ape 40%
  • Association 40%
• 2016

  Robust statistical modeling greatly improves sensitivity of high-throughput RNA structure probing experiments

  Selega, A., Sirocchi, C., Iosub, I., Granneman, S. & Sanguinetti, G., 5 Dec 2016.

  Research output: Contribution to conference › Poster › peer-review

  • RNA 100%
  • RNA Structure 100%
  • High Throughput Sequencing 37%
  • Protein Secondary Structure 37%
  • Transcriptome 37%

• Bioluminescence-based approach to monitor neural activity in freely moving Drosophilalarvae

  Marescotti, M., Lagogiannis, K., Davies, W., Webb, B. & Armstrong, J. D., Oct 2016. 1 p.

  Research output: Contribution to conference › Poster › peer-review

  Open Access

  File

• Synaptic Protein-Protein Interaction Networks unravel insights into Parkinson's Disease

  Heil, K., Sorokina, O. & Armstrong, J. D., 16 Sept 2016.

  Research output: Contribution to conference › Poster

  • Introspection 100%
  • Protein-Protein Interaction Networks 100%
  • Protein-Protein Interaction 100%
  • Parkinson's Disease 100%
  • Protein 66%

• Separation of mixed source RNA-Seq reads by comparative genomic processing

  Heron, S., Dando, O., Hardingham, G. & Simpson, T. I., 12 Sept 2016.

  Research output: Contribution to conference › Poster

  • Comparative Genomics 100%
  • RNA Sequencing 100%
  • Species 100%
  • Processing 100%
  • RNA 100%

• Bioluminescence-based approach to monitor neural activity in freely moving Drosophilalarvae

  Marescotti, M., Lagogiannis, K., Davies, W., Webb, B. & Armstrong, J. D., Sept 2016. 1 p.

  Research output: Contribution to conference › Poster › peer-review

  Open Access

  File

• Robust statistical modeling greatly improves sensitivity of high-throughput RNA structure probing experiments

  Selega, A., Sirocchi, C., Iosub, I., Granneman, S. & Sanguinetti, G., 8 Jul 2016.

  Research output: Contribution to conference › Poster › peer-review

  • RNA Structure 100%
  • Transcriptome 75%
  • RNA 50%
  • Pipeline 50%
  • Structure 50%

• Distinguishing EEG Activity in Visual Short Term Memory Tasks using Modular Dirichlet Energy on Brain Networks

  Smith, K., Ricaud, B., Nauman, S., Parra, M. A., Escudero, J. & Vandergheynst, P., Mar 2016, (Accepted/In press).

  Research output: Contribution to conference › Poster › peer-review

• Resource-Efficient Feature Gathering at Test Time

  Gray, G. & Storkey, A., 2016.

  Research output: Contribution to conference › Poster › peer-review

  • Machine Learning 100%
  • Models 100%
  • Allocation 100%
  • Gradient Method 50%
  • Real World 50%
• 2015

  Multi-species integration of miRNA binding site data to improve target prediction accuracy for synaptic miRNAs

  Heron, S. & Simpson, T. I., 23 Jul 2015.

  Research output: Contribution to conference › Poster

  • Binding Site 100%
  • Species 100%
  • Accuracy 100%
  • MicroRNA 100%
  • RNA Binding 100%

• A rule-based model of Clathrin Mediated Endocytosis: Gaining a better understanding of Parkinson's Disease

  Heil, K., Sorokina, O., Hellgren-kotaleski, J. & Armstrong, J. D., 5 Jul 2015.

  Research output: Contribution to conference › Poster › peer-review

  • Comprehension 100%
  • Endocytosis 100%
  • Protein 100%
  • Clathrin 100%
  • Introspection 25%
• 2014

  A systems biological approach to Parkinson's disease

  Heil, K. F., Sorokina, O. & Armstrong, J. D., Nov 2014.

  Research output: Contribution to conference › Poster › peer-review

  • Protein 100%
  • Parkinson's Disease 100%
  • Nested Gene 40%
  • Prevalence 40%
  • Community Structure 40%

• Understanding synaptic pathways - modelling Parkinson's Disease

  Heil, K. F., Sorokina, O., Hellgren-kotaleski, J. & Armstrong, JD., 18 Jun 2014.

  Research output: Contribution to conference › Poster › peer-review

• A Systems Biological Approach to Parkinson's Disease

  Heil, K., Sorokina, O. & Armstrong, D., 2014.

  Research output: Contribution to conference › Poster › peer-review

  • Parkinson's Disease 100%
  • Protein 85%
  • Signal Transduction 28%
  • Nested Gene 28%
  • Prevalence 28%

• Brain state dependency in the auditory thalamocortical system: mutual information and Bayesian decoding

  Bamber, J., Sakata, S. & Herrmann, M., 2014.

  Research output: Contribution to conference › Poster › peer-review

  • Mutual Information 100%
  • Dependent Personality Disorder 100%
  • Brain 100%
  • Neuron 66%
  • Sensory Processing 44%

• Brain state dependency of information conveyed by sensory evoked spikes in the auditory thalamocortical system

  Bamber, J., Sakata, S. & Herrmann, M., 2014.

  Research output: Contribution to conference › Poster › peer-review

  • Dependent Personality Disorder 100%
  • Brain 100%
  • Neuron 62%
  • Rapid Eye Movement Sleep 25%
  • Sensory Processing 12%

• Brain state dependency of stimulus-evoked spiking activity in the auditory thalamocortical system

  Bamber, J., Sakata, S. & Herrmann, M., 2014.

  Research output: Contribution to conference › Poster › peer-review

• Identifying Spatially Correlated Changes in methylation Profiles Using Kernel Methods

  Mayo, T., Schweikert, G. & Sanguinetti, G., 2014.

  Research output: Contribution to conference › Poster › peer-review

  • Kernel Method 100%
  • Methylation 100%
  • Parametric Test 40%
  • Deoxyribonucleic Acid 40%
  • Condition Coverage 20%

• Identifying Spatially Correlated Changes in Methylation Profiles Using Kernel Methods

  Mayo, T., Sanguinetti, G. & Schweikert, G., 2014.

  Research output: Contribution to conference › Poster › peer-review

  • Kernel Method 100%
  • Methylation 100%
  • Parametric Test 40%
  • Deoxyribonucleic Acid 40%
  • Condition Coverage 20%