Professor Peter A Flach

Search results

• 2021

  Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies

  Ayobi, A., Stawarz, K., Katz, D., Marshall, P., Yamagata, T., Santos-Rodriguez, R., Flach, P. A. & O'Kane, A. A., 31 Jul 2021, (Accepted/In press) Proceedings of the ACM on Human-Computer Interaction. Association for Computing Machinery (ACM), Vol. 5. 24 p. 475

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  • chronic illness 100%
  • social benefits 55%
  • artificial intelligence 50%
  • health 46%
  • research planning 41%

• Efficient and Robust Model Benchmarks with Item Response Theory and Adaptive Testing

  Song, H. & Flach, P. A., 23 Feb 2021, In: International Journal of Interactive Multimedia and Artificial Intelligence. 6, 5, p. 110-118 9 p.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

• Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning

  Ayobi, A., Stawarz, K., Katz, D., Marshall, P., Yamagata, T., Santos-Rodriguez, R. & Flach, P. A., 17 Apr 2021, Joint Proceedings of the ACM IUI 2021 Workshops. CEUR Workshop Proceedings, Vol. 2903.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  File

  • Artificial intelligence 100%
  • Machine learning 83%
  • Medical problems 15%
  • Stars 14%
  • Lenses 14%
  5 Downloads (Pure)
• 2020

  Attention Network-Based Human Acticity Recognition Using Fused Sensor Data

  Bi, H., Perello Nieto, M., Tonkin, E. L., Santos-Rodriguez, R. & Flach, P. A., 2020, (In preparation) In: Sensors.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

• Discriminative Representation Loss (DRL): A More Efficient Approach Than Gradient Re-projection in continual learning

  Chen, Y., Diethe, T. & Flach, P., 19 Jun 2020, (Unpublished) In: arXiv. 15 p.

  Research output: Contribution to journal › Article (Academic Journal)

  File

  • Data storage equipment 100%
  • Costs 31%
  • Experiments 29%
  21 Downloads (Pure)

• Explainability fact sheets: A framework for systematic assessment of explainable approaches

  Sokol, K. & Flach, P., 27 Jan 2020, FAT* 2020 - Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. Association for Computing Machinery (ACM), p. 56-67 12 p. (FAT* 2020 - Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  • Taxonomies 100%
  • Social sciences 39%
  • Computer science 31%
  • Artificial intelligence 27%
  • Machine learning 23%

• FACE: Feasible and Actionable Counterfactual Explanations

  Poyiadzi, R., Sokol, K., Santos-Rodriguez, R., Tijl De, B. & Flach, P. A., 1 Feb 2020, AIES '20: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery (ACM), p. 344-350 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  File

  • Wages 100%
  • Insurance 86%
  • Sports 74%
  • Defects 50%
  140 Downloads (Pure)

• FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems

  Sokol, K., Hepburn, A., Poyiadzi, R., Clifford, M., Santos-Rodriguez, R. & Flach, P., 19 May 2020

  Research output: Other contribution

• GLU: A software package for analysing continuously measured glucose levels in epidemiology

  Millard, L. A. C., Patel, N., Tilling, K. M., Lewcock, M., Flach, P. A. & Lawlor, D. A., 13 Feb 2020, In: International Journal of Epidemiology. 49, 3, p. 744-757 14 p.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  Open Access

  File

  • Epidemiology 100%
  • Software 95%
  • Glucose 80%
  • Quality Control 49%
  • Area Under Curve 41%
  19 Downloads (Pure)

• Human Activity Recognition Based on Dynamic Active Learning

  Bi, H., Perello Nieto, M., Santos-Rodriguez, R. & Flach, P. A., 31 Jul 2020, In: IEEE Journal of Biomedical and Health Informatics. 25, 4, p. 922-934 13 p.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  • Problem-Based Learning 100%
  • Human Activities 76%
  • Psychology Recognition 67%
  • Labels 64%
  • Classifiers 26%

• LIMEtree: Interactively Customisable Explanations Based on Local Surrogate Multi-output Regression Trees

  Sokol, K. & Flach, P., 4 May 2020, (Unpublished) In: arXiv.

  Research output: Contribution to journal › Article (Academic Journal)

  File

  • Object detection 100%
  • Deep neural networks 94%
  • Artificial intelligence 85%
  • Machine learning 71%
  8 Downloads (Pure)

• Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control

  Yamagata, T., O'Kane, A., Ayobi, A., Katz, D., Stawarz, K., Marshall, P., Flach, P. & Santos-Rodríguez, R., 13 Oct 2020, (Unpublished) In: arXiv. 15 p.

  Research output: Contribution to journal › Article (Academic Journal)

  File

  • Glucose 100%
  • Reinforcement learning 88%
  • Blood 81%
  • Medical problems 72%
  • Insulin 29%
  9 Downloads (Pure)

• Model-Based Reinforcement Learning for Type 1 Diabetes Blood Glucose Control

  Yamagata, T., Ayobi, A., O'Kane, A. A., Katz, D., Stawarz, K., Marshall, P., Flach, P. A. & Santos-Rodriguez, R., 26 Jun 2020, (Accepted/In press). 14 p.

  Research output: Contribution to conference › Conference Paper › peer-review

  • Glucose 100%
  • Medical problems 97%
  • Reinforcement learning 88%
  • Blood 81%
  • Insulin 29%

• Modelling patient behaviour using IoT sensor data: A case-study to evaluate techniques for modelling domestic behaviour in recovery from total hip replacement surgery

  Holmes, M., Perello Nieto, M., Song, H., Tonkin, E. L., Grant, S. & Flach, P. A., 2020, (Submitted) In: Journal of Healthcare Informatics Research.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  File

  • Hip Replacement Arthroplasties 100%
  • Patient Reported Outcome Measures 74%
  • Sleep 66%
  • Hip 28%
  • Motivation 27%
  81 Downloads (Pure)

• One Explanation Does Not Fit All The Promise of Interactive Explanations for Machine Learning Transparency

  Sokol, K. & Flach, P., 4 Feb 2020, In: Kunstliche Intelligenz. 16 p.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  Open Access

  File

  • Transparency 100%
  • Machine learning 70%
  • User interfaces 28%
  • Learning algorithms 26%
  • Engineers 22%
  108 Downloads (Pure)

• POLSAR IMAGE CLASSIFICATION VIA ROBUST LOW-RANK FEATURE EXTRACTION AND MARKOV RANDOM FIELD

  Bi, H., Flach, P. A. & Santos-Rodriguez, R., 2020, (Accepted/In press) IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

• Towards Faithful and Meaningful Interpretable Representations

  Sokol, K. & Flach, P., 16 Aug 2020, (Unpublished) In: arXiv.

  Research output: Contribution to journal › Article (Academic Journal)

  File
  4 Downloads (Pure)
• 2019

  A Big Data platform for smart meter data analytics

  Wilcox, T., Jin, N., Flach, P. & Thumim, J., Feb 2019, In: Computers in Industry. 105, p. 250-259 10 p.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  Open Access

  File

  • Smart meters 100%
  • Data Analytics 88%
  • Big data 73%
  • Smart power grids 39%
  • Data storage equipment 24%
  30 Citations (Scopus)

  28 Downloads (Pure)

• An Application of Hierarchical Gaussian Processes to the Detection of Anomalies in Star Light Curves

  Twomey, N., Chen, H., Diethe, T. & Flach, P., 21 May 2019, In: Neurocomputing. 342, p. 152-163 12 p.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  Open Access

  File

  • Stars 100%
  • Light 69%
  • Anomaly detection 50%
  • Time series 42%
  • Luminance 23%
  3 Citations (Scopus)

  183 Downloads (Pure)

• Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

  Kull, M., Perello Nieto, M., Kängsepp, M., Silva Filho, T., Song, H. & Flach, P., 14 Dec 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). Wallach, H., Larochelle, H., Beygelzimer, A., d'Alché-Buc, F., Fox, E. & Garnett, R. (eds.). Neural Information Processing Systems Foundation, 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  File

  • Calibration 100%
  • Classifiers 55%
  • Temperature 52%
  • Neural networks 31%
  • Experiments 9%
  50 Downloads (Pure)

• bLIMEy: Surrogate Prediction Explanations Beyond LIME

  Sokol, K., Hepburn, A., Santos-Rodriguez, R. & Flach, P., 29 Oct 2019, (Unpublished) In: arXiv. 10 p.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  File

  • Artificial intelligence 100%
  • Machine learning 83%
  87 Downloads (Pure)

• Counterfactual explanations of machine learning predictions: Opportunities and challenges for AI safety

  Sokol, K. & Flach, P., 27 Jan 2019, Proceedings of the AAAI Workshop on Artificial Intelligence Safety 2019: co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI 2019) Honolulu, Hawaii, January 27, 2019. CEUR Workshop Proceedings, Vol. 2301. 4 p. (CEUR Workshop Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  File

  • Machine learning 100%
  • European Union 76%
  • Transparency 70%
  • Data privacy 70%
  • Decision trees 66%
  2 Citations (Scopus)

  97 Downloads (Pure)

• CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories

  Martínez-Plumed, F., Contreras-Ochando, L., Ferri, C., Hernandez-Orallo, J., Kull, M., Lachiche, N. J. A. H., Ramírez-Quintana, M. J. & Flach, P. A., 27 Dec 2019, (E-pub ahead of print) In: IEEE Transactions on Knowledge and Data Engineering. 14 p.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  Open Access

  File

  • Data Science 100%
  • Data Mining 85%
  • Industry 75%
  • Data mining 61%
  • Trajectory 58%
  994 Downloads (Pure)

• Distribution Calibration for Regression

  Song, H., Diethe, T., Kull, M. & Flach, P., 15 May 2019, International Conference on Machine Learning, 9-15 June 2019, Long Beach, California, USA. Chaudhuri, K. & Salakhutdinov, R. (eds.). Proceedings of Machine Learning Research, p. 5897-5906 10 p. (Proceedings of Machine Learning Research; vol. 97).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  File

  • Calibration 100%
  • Uncertainty 20%
  78 Downloads (Pure)

• HyperStream: a Workflow Engine for Streaming Data

  Diethe, T., Kull, M., Twomey, N., Sokol, K., Song, H., Perello-Nieto, M., Tonkin, E. & Flach, P., 7 Aug 2019, (Submitted) In: arXiv.

  Research output: Contribution to journal › Article (Academic Journal)

• Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward

  Flach, P. A., 17 Jul 2019, Proceedings of the AAAI Conference on Artificial Intelligence. p. 9808-9814 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  • Measurement Theory 100%
  • Classifier 77%
  • Machine Learning 68%
  • Performance Evaluation 59%
  • Causal Inference 42%

• Setting decision thresholds when operating conditions are uncertain

  Ferri, C., Hernández-Orallo, J. & Flach, P., 1 Jul 2019, In: Data Mining and Knowledge Discovery. 33, 4, p. 805-847 43 p.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  Open Access

  File

  • Uncertainty 100%
  • Classifiers 37%
  • Costs 30%
  • Learning algorithms 22%
  • Machine learning 19%
  1 Citation (Scopus)

  125 Downloads (Pure)

• β³-IRT: A New Item Response Model and its Applications

  Chen, Y., Filho, T. M. S., Prudêncio, R. B. C., Diethe, T. & Flach, P., 10 Mar 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019): April 16-18, 2019, Naha, Okinawa, Japan. Chaudhuri, K. & Sugiyama, M. (eds.). Proceedings of Machine Learning Research, p. 1013-1021 9 p. (Proceedings of Machine Learning Research; vol. 89).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  File

  • Classifiers 100%
  • Machine learning 51%
  • Experiments 25%
  67 Downloads (Pure)
• 2018

  A Comprehensive Study of Activity Recognition using Accelerometers

  Twomey, N., Diethe, T., Fafoutis, X., Elsts, A., McConville, R., Flach, P. & Craddock, I., Jun 2018, In: Informatics. 5, 2, 37 p., 27.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  Open Access

  File

  • Accelerometers 100%
  • Time series 30%
  • Classifiers 24%
  • Testing 18%
  65 Citations (Scopus)

  356 Downloads (Pure)

• Activities of daily living ontology for ubiquitous systems: Development and evaluation

  Woznowski, P. R., Tonkin, E. L. & Flach, P. A., Jul 2018, In: Sensors. 18, 7, 23 p., 2361.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  Open Access

  File

  • ground truth 100%
  • Information Dissemination 80%
  • Telemedicine 75%
  • Activities of Daily Living 67%
  • Psychology Recognition 60%
  9 Citations (Scopus)

  349 Downloads (Pure)

• Analysis of patient domestic activity in recovery from hip or knee replacement surgery: modelling wrist-worn wearable RSSI and accelerometer data in the wild

  Holmes, M., Song, H., Tonkin, E. L., Perello Nieto, M., Grant, S. & Flach, P., 13 Jul 2018, Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data: co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018). CEUR Workshop Proceedings, p. 13-20 8 p. (CEUR Workshop Proceedings; vol. 2148).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  File

  • Knee prostheses 100%
  • Surgery 70%
  • Accelerometers 66%
  • Recovery 47%
  • Sensor networks 40%
  56 Downloads (Pure)

• Anomaly Detection in Star Light Curves using Hierarchical Gaussian Processes

  Chen, H., Diethe, T., Twomey, N. & Flach, P., 27 Apr 2018, European Symposium on Artificial Neural Networks: ESANN. Bruges: European Symposium on Artificial Neural Networks

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  File

  • Anomaly detection 100%
  • Stars 98%
  • Time series 41%
  • Luminance 23%
  • Computational complexity 19%
  80 Downloads (Pure)

• Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements.

  Sokol, K. & Flach, P. A., 13 Jul 2018, IJCAI. p. 5785-5786 2 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

• Glass-Box: Explaining AI Decisions With Counterfactual Statements Through Conversation With a Voice-enabled Virtual Assistant.

  Sokol, K. & Flach, P. A., 13 Jul 2018, IJCAI. p. 5868-5870 3 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

• Non-Parametric Calibration of Probabilistic Regression

  Song, H., Flach, P. & Kull, M., 2018, (In preparation).

  Research output: Working paper › Working paper and Preprints

• Releasing eHealth analytics into the wild: Lessons learnt from the SPHERE project

  Diethe, T., Nieto, M. P., Tonkin, E., Holmes, M., Sokol, K., Twomey, N., Kull, M., Song, H. & Flach, P., 19 Jul 2018, KDD'18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), p. 243-252 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  File

  • Data Science 100%
  • eHealth 92%
  • Learning systems 75%
  • Machine learning 54%
  7 Citations (Scopus)

  390 Downloads (Pure)
• 2017

  Background Check: A General Technique to Build More Reliable and Versatile Classifiers

  Perello-Nieto, M., Filho, T. M. S., Kull, M. & Flach, P., Mar 2017, 2016 IEEE 16th International Conference on Data Mining (ICDM 2016): Proceedings of a meeting held 12-15 December 2016, Barcelona, Spain. Institute of Electrical and Electronics Engineers (IEEE), p. 1143-1148 6 p. 7837963. (Proceedings of the IEEE International Conference on Data Mining (ICDM)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  File

  • Classifiers 100%
  • Anomaly detection 49%
  4 Citations (Scopus)

  446 Downloads (Pure)

• Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers

  Kull, M., De Menezes E Silva Filho, T. & Flach, P., 1 Apr 2017, Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017). Journal of Machine Learning Research, 9 p. (JMLR Workshop and Conference Proceedings; vol. 54).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  File

  • logistics 100%
  • calibration 76%
  • distribution 17%
  • decision making 12%
  • family 11%
  291 Downloads (Pure)

• Beyond Sigmoids : How to obtain well-calibrated probabilities from binary classifiers with beta calibration

  Kull, M., Silva Filho, T. M. & Flach, P., 15 Dec 2017, In: Electronic Journal of Statistics. 11, 2, p. 5052-5080 29 p.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  Open Access

  File

  • Classifier 100%
  • Calibration 96%
  • Binary 67%
  • Logistic curve 51%
  • Logistics 45%
  15 Citations (Scopus)

  1038 Downloads (Pure)

• CASP-DM: Context Aware Standard Process for Data Mining

  Martínez-Plumed, F., Contreras-Ochando, L., Ferri, C., Flach, P., Hernández-Orallo, J., Kull, M., Lachiche, N. & Ramírez-Quintana, M. J., 19 Sep 2017, In: arXiv. 38 p.

  Research output: Contribution to journal › Article (Academic Journal)

  File

  • Data mining 100%
  • Machine learning 29%
  • Industry 17%
  137 Downloads (Pure)

• Computational support for academic peer review: a perspective from artificial intelligence

  Price, S. & Flach, P., 1 Mar 2017, In: Communications of the ACM. 60, 3, p. 70-79 10 p.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  Open Access

  File

  • Artificial intelligence 100%
  • Machine learning 33%
  51 Citations (Scopus)

  400 Downloads (Pure)

• Physical activity phenotyping with activity bigrams, and their association with BMI

  Millard, L. A. C., Tilling, K., Lawlor, D. A., Flach, P. A. & Gaunt, T. R., 1 Dec 2017, In: International Journal of Epidemiology. 46, 6, p. 1857-1870 14 p., dyx093.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  Open Access

  File

  • Body Mass Index 100%
  • Exercise 90%
  • Data Mining 42%
  • Sedentary Behavior 37%
  • Longitudinal Studies 29%
  4 Citations (Scopus)

  281 Downloads (Pure)

• Smart homes, private homes? An empirical study of technology researchers' perceptions of ethical issues in developing smart-home health technologies

  Birchley, G., Huxtable, R., Murtagh, M., ter Meulen, R., Flach, P. & Gooberman-Hill, R., 4 Apr 2017, In: BMC Medical Ethics. 18, 13 p., 23.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  Open Access

  File

  • private home 100%
  • Biomedical Technology 87%
  • Privacy 83%
  • Ethics 70%
  • Ethical Issues 64%
  22 Citations (Scopus)

  814 Downloads (Pure)

• SPHERE: A sensor platform for healthcare in a residential environment

  Woznowski, P. R., Burrows, A., Diethe, T., Fafoutis, X., Hall, J., Hannuna, S., Camplani, M., Twomey, N., Kozlowski, M., Tan, B., Zhu, N., Elsts, A., Vafeas, A., Paiement, A., Tao, L., Mirmehdi, M., Burghardt, T., Damen, D., Flach, P., Piechocki, R. & 2 others, Craddock, I. & Oikonomou, G., 2017, Designing, Developing, and Facilitating Smart Cities: Urban Design to IoT Solutions. Angelakis, V., Tragos, E., Pöhls, H. C., Kapovits, A. & Bassi, A. (eds.). Springer, p. 315-333 19 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

  • Smart city 100%
  • Sensors 46%
  • Sustainable development 40%

• The role of textualisation and argumentation in understanding the machine learning process

  Sokol, K. & Flach, P., 25 Aug 2017, 26th International Joint Conference on Artificial Intelligence, IJCAI 2017: Proceedings of a meeting held 19-25 August 2017, Melbourne, Australia.. International Joint Conferences on Artificial Intelligence, p. 5211-5212 2 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  File

  • Machine learning 100%
  • Data structures 37%
  227 Downloads (Pure)

• Unsupervised learning of sensor topologies for improving activity recognition in smart environments

  Twomey, N., Diethe, T., Craddock, I. & Flach, P., 19 Apr 2017, In: Neurocomputing. 234, p. 93-106 14 p.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  Open Access

  File

  • Unsupervised learning 100%
  • Psychology Recognition 77%
  • Learning 64%
  • Topology 59%
  • Sensors 44%
  22 Citations (Scopus)

  403 Downloads (Pure)
• 2016

  Active transfer learning for activity recognition

  Diethe, T., Twomey, N. & Flach, P., 2016. 6 p.

  Research output: Contribution to conference › Conference Paper › peer-review

  Open Access

  File

  • Transfer learning 100%
  • Problem-Based Learning 96%
  • Labeling 40%
  • Accelerometers 39%
  • Labels 35%
  179 Downloads (Pure)

• Activity recognition in multiple contexts for smart-house data

  Sokol, K. & Flach, P., 22 Jun 2016, In: CEUR Workshop Proceedings. 1865, p. 66-72 7 p.

  Research output: Contribution to journal › Article (Academic Journal) › peer-review

  Open Access

  File

  • Intelligent buildings 100%
  • Thermostats 18%
  • Inductive logic programming (ILP) 17%
  • Sensors 6%
  70 Downloads (Pure)

• ADL™: A Topic Model for Recognition of Activities of Daily Living in a SmartHome

  Chen, Y., Diethe, T. & Flach, P., 15 Jul 2016, Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Kambhampati, S. (ed.). AAAI Press, p. 1404-1410 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  File

  • Labeled data 100%
  • Text mining 98%
  • Sleep 90%
  • Supervised learning 90%
  • Monitoring 47%
  228 Downloads (Pure)

• BDL.NET: Bayesian dictionary learning in Infer.NET

  Diethe, T., Twomey, N. & Flach, P., Dec 2016, 2016 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2016 - Proceedings: Proceedings of a meeting held 13-16 September 2016, Vietri sul Mare (Salerno), Italy. Institute of Electrical and Electronics Engineers (IEEE), 6 p. 7738851. (Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

  Open Access

  File

  • Glossaries 100%
  • Heuristic methods 39%
  • Message passing 36%
  • Accelerometers 32%
  • Experiments 12%
  2 Citations (Scopus)

  301 Downloads (Pure)