Data Science and Artificial Intelligence

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  • 2021

    Weighted Model Counting with Conditional Weights for Bayesian Networks

    Dilkas, P. & Belle, V., 27 Jul 2021, Proceedings of the the 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021). de Campos, C. & Maathuis, M. H. (eds.). New York, United States: PMLR, Vol. 161. p. 386-396 11 p. (Proceedings of Machine Learning Research; vol. 161).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Local Algorithms for Finding Densely Connected Clusters

    Macgregor, P. & Sun, H., 24 Jul 2021, Proceedings of the 38th International Conference on Machine Learning. Meila, M. & Zhang, T. (eds.). PMLR, Vol. 139. p. 7268-7278 11 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Weighted Model Counting Without Parameter Variables

    Dilkas, P. & Belle, V., 2 Jul 2021, Theory and Applications of Satisfiability Testing – SAT 2021. Springer, p. 134-151 18 p. (Lecture Notes in Computer Science; vol. 12831).

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  • Machine Learning over Static and Dynamic Relational Data

    Kara, A., Nikolic, M., Olteanu, D. & Zhang, H., 28 Jun 2021, Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems. Virtual Event, Italy: ACM, p. 160--163 4 p. (DEBS '21).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting

    Zhang, C., Fiore, M., Murray, I. & Patras, P., 18 May 2021, The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). AAAI Press, p. 10851 - 10858 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 35, no. 12).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Lossless compression with state space models using bits back coding

    Townsend, J. & Murray, I., 7 May 2021, Neural Compression Workshop at ICLR 2021. 5 p.

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  • Neural Approximate Sufficient Statistics for Implicit Models

    Chen, Y., Zhang, D., Gutmann, M. U., Courville, A. & Zhu, Z., 4 May 2021, Ninth International Conference on Learning Representations (ICLR 2021). 14 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Exploring Neural Language Models via Analysis of Local and Global Self-Attention Spaces

    Škrlj, B., Sheehan, S., Eržen, N., Robnik-Šikonja, M., Luz, S. & Pollak, S., 16 Apr 2021, EACL Hackashop on News Media Content Analysis and Automated Report Generation, Hackashop 2021 at 16th conference of the European Chapter of the Association for Computational Linguistics, EACL 2021 - Proceedings. Toivonen, H. & Boggia, M. (eds.). Association for Computational Linguistics (ACL), p. 76-83 8 p. (EACL Hackashop on News Media Content Analysis and Automated Report Generation, Hackashop 2021 at 16th conference of the European Chapter of the Association for Computational Linguistics, EACL 2021 - Proceedings).

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  • TeMoTopic: Temporal Mosaic Visualization of Topic Distribution, Keywords, and Context

    Sheehan, S., Luz, S. & Masoodian, M., 16 Apr 2021, EACL Hackashop on News Media Content Analysis and Automated Report Generation, Hackashop 2021 at 16th conference of the European Chapter of the Association for Computational Linguistics, EACL 2021 - Proceedings. Toivonen, H. & Boggia, M. (eds.). Association for Computational Linguistics (ACL), p. 56-61 6 p. (EACL Hackashop on News Media Content Analysis and Automated Report Generation, Hackashop 2021 at 16th conference of the European Chapter of the Association for Computational Linguistics, EACL 2021 - Proceedings).

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  • In the wild pilot usability assessment of a connected health system for stroke self management

    Balatsoukas, P., Sassoon, I., Chapman, M., Kokciyan, N., Drake, A., Modgil, S., Ashworth, M., Curcin, V., Sklar, E. & Parsons, S., 12 Mar 2021, 2020 IEEE International Conference on Healthcare Informatics, ICHI 2020. Institute of Electrical and Electronics Engineers, 3 p. 9374338. (2020 IEEE International Conference on Healthcare Informatics, ICHI 2020).

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  • Assessing Parkinson’s disease speech signal generalization of clustering results across three countries: Findings in the Parkinson’s voice initiative study

    Tsanas, A. & Arora, S., 13 Feb 2021, BIOSIGNALS 2021 - 14th International Conference on Bio-Inspired Systems and Signal Processing; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021. Bracken, B., Fred, A. & Gamboa, H. (eds.). SCITEPRESS, p. 124-134 11 p. (BIOSIGNALS 2021 - 14th International Conference on Bio-Inspired Systems and Signal Processing; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021).

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  • Large-scale Clustering of People Diagnosed with Parkinson’s Disease using Acoustic Analysis of Sustained Vowels: Findings in the Parkinson’s Voice Initiative Study

    Tsanas, T. & Arora, S., 13 Feb 2021, 14th International Joint Conference on Biomedical Systems and Technology (BIOSTEC). Gamboa, H. (ed.). p. 124-131

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Performance of monosyllabic vs multisyllabic diadochokinetic exercises in evaluating Parkinson’s disease hypokinetic dysarthria from fluency distributions

    Gómez-Vilda, P., Gómez-Rodellar, A., Palacios-Alonso, D. & Tsanas, A., 13 Feb 2021, BIOSIGNALS 2021 - 14th International Conference on Bio-Inspired Systems and Signal Processing; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021. Bracken, B., Fred, A. & Gamboa, H. (eds.). SCITEPRESS, p. 114-123 10 p. (BIOSIGNALS 2021 - 14th International Conference on Bio-Inspired Systems and Signal Processing; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Stir to Pour: Efficient Calibration of Liquid Properties for Pouring Actions

    Lopez Guevara, T., Pucci, R., Taylor, N., Gutmann, M. U., Ramamoorthy, R. & Subr, K., 10 Feb 2021, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Institute of Electrical and Electronics Engineers, 7 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • A context mechanism for an inference-based question answering system

    Nuamah, K. & Bundy, A., 8 Feb 2021, (E-pub ahead of print) AAAI Workshop on Commonsense Knowledge Graphs. 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Object-Level Reasoning with Logics Encoded in HOL Light

    Papapanagiotou, P. & Fleuriot, J., 12 Jan 2021, Proceedings Fifteenth Workshop on Logical Frameworks and Meta-Languages: Theory and Practice (LFMTP 2020). Sacerdoti Coen, C. & Tiu, A. (eds.). Paris, France: Open Publishing Association, p. 18-34 17 p. (Electronic Proceedings in Theoretical Computer Science; vol. 332).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • An argumentation-based approach to generate domain-specific explanations

    Kokciyan, N., Parsons, S., Sassoon, I., Sklar, E. & Modgil, S., 5 Jan 2021, Multi-Agent Systems and Agreement Technologies (EUMAS 2020). Springer, 18 p. (Lecture Notes in Computer Science; vol. 12520).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • A Real-world Case Study of Process and Data Driven Predictive Analytics for Manufacturing Workflows

    Papapanagiotou, P., Vaughan, J., Smola, F. & Fleuriot, J. D., 5 Jan 2021, Proceedings of the 54th Hawaii International Conference on System Sciences 2021. p. 1001 - 1010 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • 2020

    The Use of Max-Sat for Optimal Choice of Automated Theory Repairs

    Urbonas, M., Bundy, A., Casanova, J. & Li, X., 8 Dec 2020, Artificial Intelligence XXXVII (SGAI 2020). Bramer, M. & Ellis, R. (eds.). Springer, p. 49-63 15 p. (Lecture Notes in Computer Science; vol. 12498)(Lecture Notes in Artificial Intelligence ; vol. 12498).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels

    Patacchiola, M., Turner, J., Crowley, E. J., O'Boyle, M. F. P. & Storkey, A. J., 7 Dec 2020, Advances in Neural Information Processing Systems 33. Curran Associates Inc, Vol. 33. p. 16108-16118 11 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning

    Christianos, F., Schäfer, L. & Albrecht, S. V., 6 Dec 2020, Advances in Neural Information Processing Systems 33 (NeurIPS 2020). Curran Associates Inc, p. 10707-10717 16 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Learning Stereo from Single Images

    Watson, J., Mac Aodha, O., Turmukhambetov, D., Brostow, G. J. & Firman, M., 3 Nov 2020, Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part I. Springer, p. 722-740 19 p. (Lecture Notes in Computer Science; vol. 12346).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
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  • Using Domain Lexicon and Grammar for Ontology Matching

    Quesada Real, F., Bella, G., Mcneill, F. & Bundy, A., 3 Nov 2020, Proceedings of the 15th International Workshop on Ontology Matching. Shvaiko, P., Euzenat, J., Jiménez-Ruiz, E., Hassanzadeh, O. & Trojahn, C. (eds.). CEUR-WS.org, p. 1-12 12 p. (CEUR Workshop Proceedings; vol. 2788).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • A case study of policy synthesis for swarm robotics

    Piho, P. & Hillston, J., 27 Oct 2020, Leveraging Applications of Formal Methods, Verification and Validation: Engineering Principles (ISoLA 2020). Springer, p. 491-506 16 p. (Lecture Notes in Computer Science ; vol. 12477).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge

    Luz, S., Haider, F., Fuente, S. D. L., Fromm, D. & MacWhinney, B., 16 Oct 2020, INTERSPEECH 2020. ISCA, p. 2172-2176 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Action Modelling for Interaction and Analysis in Smart Sports and Physical Education

    Salim, F. A., Haider, F., Frutos-Pascual, M., Reidsma, D., Luz, S. & Van Beijnum, B. J., Oct 2020, 1st Workshop on Action Modelling for Interaction and Analysis in Smart Sports and Physical Education (MAIStroPE). Association for Computing Machinery (ACM), p. 228-229

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • TeMoCo-Doc: A visualization for supporting temporal and contextual analysis of dialogues and associated documents

    Sheehan, S., Luz, S., Albert, P. & Masoodian, M., 28 Sept 2020, Proceedings of the Working Conference on Advanced Visual Interfaces, AVI 2020. Tortora, G., Vitiello, G. & Winckler, M. (eds.). ACM Association for Computing Machinery, p. 1-3 96. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Logic, Probability and Action: A Situation Calculus Perspective

    Belle, V., 16 Sept 2020, Scalable Uncertainty Management. SUM 2020. Davis, J. & Tabia, K. (eds.). Cham: Springer, p. 52-67 16 p. (Lecture Notes in Computer Science; vol. 12322).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Symbolic Logic meets Machine Learning: A Brief Survey in Infinite Domains

    Belle, V., 16 Sept 2020, Scalable Uncertainty Management. SUM 2020. Davis, J. & Tabia, K. (eds.). Cham: Springer, p. 3-16 14 p. ( Lecture Notes in Computer Science; vol. 12322).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Explainable Inference in the FRANK Query Answering System

    Nuamah, K. & Bundy, A., 8 Sept 2020, ECAI 2020. IOS Press, p. 2441 - 2448 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 325).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Polynomial-time Implicit Learnability in SMT

    Mocanu, I., Belle, V. & Juba, B., 8 Sept 2020, ECAI 2020. IOS Press, p. 1152 - 1158 7 p. (Frontiers in Artificial Intelligence and Applications; vol. 325).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Cross-Border Medical Research Using Multi-Layered and Distributed Knowledge

    Bella, G., Elliot, L., Das, S., Pavis, S., Turra, E., Robertson, D. & Giunchiglia, F., 3 Sept 2020, ECAI 2020. De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarín, A. & Lang, J. (eds.). IOS Press, p. 2956 - 2963 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 325).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
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  • Generating Random Logic Programs Using Constraint Programming

    Dilkas, P. & Belle, V., 2 Sept 2020, Principles and Practice of Constraint Programming: 26th International Conference, CP 2020, Louvain-la-Neuve, Belgium, September 7–11, 2020, Proceedings. Springer, p. 828–845 18 p. ( Lecture Notes in Computer Science; vol. 12333).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Implementing argument and explanation schemes in dialogue

    Sassoon, I., Kokciyan, N., Chapman, M., Sklar, E., Curcin, V., Modgil, S. & Parsons, S., 31 Aug 2020, Computational Models of Argument - Proceedings of COMMA 2020. Prakken, H., Bistarelli, S., Santini, F. & Taticchi, C. (eds.). Amsterdam: IOS Press, p. 471-472 2 p. (Frontiers in Artificial Intelligence and Applications; vol. 326).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Robust Optimisation Monte Carlo

    Ikonomov, B. & Gutmann, M., 28 Aug 2020, Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020. PMLR, p. 2819-2829 10 p. (Proceedings of Machine Learning Research; vol. 108).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Robust Variational Autoencoders for Outlier Detection in Mixed-Type Data

    Eduardo, S., Nazábal, A., Williams, C. K. I. & Sutton, C., 28 Aug 2020, Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics. PMLR, p. 4056-4066 10 p. (Proceedings of Machine Learning Research; vol. 108).

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  • Cross-corpus Feature Learning between Spontaneous Monologue and Dialogue for Automatic Classification of Alzheimer's Dementia Speech

    De La Fuente Garcia, S., Haider, F. & Luz, S., 27 Aug 2020, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers, p. 5851-5855

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Predicting Mini-Mental Status Examination Scores through Paralinguistic Acoustic Features of Spontaneous Speech

    Fu, Z., Haider, F. & Luz, S., 27 Aug 2020, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Augmenting the Algebraic Connectivity of Graphs

    Manghiuc, B-A., Peng, P. & Sun, H., 26 Aug 2020, 28th Annual European Symposium on Algorithms (ESA 2020). Grandoni, F., Herman, G. & Sanders, P. (eds.). Dagstuhl, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Vol. 173. 22 p. 70. (Leibniz International Proceedings in Informatics (LIPIcs); vol. 173).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Logical Interpretations of Autoencoders

    Fuxjaeger, A. & Belle, V., 9 Aug 2020, ECAI 2020. De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarín, A. & Lang, J. (eds.). IOS Press, p. 2481-2488 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 325).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Multitask Soft Option Learning

    Igl, M., Gambardell, A., Nardelli, N., He, J., Siddharth, N., Böhmer, W. & Whiteson, S., 6 Aug 2020, Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI). PMLR, p. 969-978 10 p. (Proceedings of Machine Learning Research; vol. 124).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Optimizing Grouped Convolutions on Edge Devices

    Gibson, P., Cano, J., Turner, J., Crowley, E. J., O'Boyle, M. F. P. & Storkey, A. J., 31 Jul 2020, 2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP). Institute of Electrical and Electronics Engineers, p. 189 - 196 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation

    Kleinegesse, S. & Gutmann, M., 18 Jul 2020, Proceedings of the 37th International Conference on Machine Learning (ICML) 2020. PMLR, p. 5316-5326 11 p. (Proceedings of Machine Learning Research ; vol. 119).

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  • On Contrastive Learning for Likelihood-free Inference

    Durkan, C., Murray, I. & Papamakarios, G., 18 Jul 2020, Proceedings of the 37th International Conference on Machine Learning. PMLR, p. 2771-2781 15 p. (Proceedings of Machine Learning Research; vol. 119).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  • Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code

    Karampatsis, R-M., Babii, H., Robbes, R., Sutton, C. & Janes, A., 27 Jun 2020, ICSE '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering. Association for Computing Machinery (ACM), p. 1073-1085 13 p.

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  • Knowledge Driven Phenotyping

    Wu, H., Wang, M., Zeng, Q., Chen, W., Nind, T., Jefferson, E., Bennie, M., Black, C., Pan, J. Z., Sudlow, C. & Robertson, D., 16 Jun 2020, Digital Personalized Health and Medicine: Proceedings of MIE 2020. Pape-Haugaard, L. B., Lovis, C., Madsen, I. C., Weber, P., Nielsen, P. H. & Scott, P. (eds.). IOS Press, p. 1327-1328 2 p. (Studies in Health Technology and Informatics; vol. 270).

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  • Probing the Performance of the Edinburgh Bike Sharing System Using SSTL

    Kreikemeyer, J. N., Hillston, J. & Uhrmacher, A., 15 Jun 2020, Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation. New York, NY, USA: ACM Association for Computing Machinery, p. 141–152 12 p.

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  • Trade-offs in Static and Dynamic Evaluation of Hierarchical Queries

    Kara, A., Nikolic, M., Olteanu, D. & Zhang, H., 14 Jun 2020, Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. Association for Computing Machinery (ACM), p. 375-392 44 p.

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  • Learning Probabilistic Logic Programs over Continuous Data

    Speichert, S. & Belle, V., 5 Jun 2020, Inductive Logic Programming: 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3–5, 2019, Proceedings. Kazakov, D. & Erten, C. (eds.). Springer, p. 129–144 16 p. ( Lecture Notes in Computer Scienc; vol. 11770).

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  • F-IVM: Learning over Fast-Evolving Relational Data

    Nikolic, M., Zhang, H., Kara, A. & Olteanu, D., 31 May 2020, Proceedings of the 2020 ACM International Conference on Management of Data. ACM, 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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