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ORCID39th SGAI Conf. 2019: Cambridge, UK
- Max Bramer, Miltos Petridis:
Artificial Intelligence XXXVI - 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17-19, 2019, Proceedings. Lecture Notes in Computer Science 11927, Springer 2019, ISBN 978-3-030-34884-7
Technical Paper
- Arjun Pakrashi
, Brian Mac Namee:
CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification (Best Technical Paper). 3-17
Machine Learning, Knowledge Discovery and Data Mining
- David Morán-Pomés, Lluís A. Belanche Muñoz:
Purity Filtering: An Instance Selection Method for Support Vector Machines. 21-35 - Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards Model-Based Reinforcement Learning for Industry-Near Environments. 36-49 - Colin G. Johnson:
Stepwise Evolutionary Learning Using Deep Learned Guidance Functions. 50-62 - Sergey Ovchinnik, Fernando E. B. Otero, Alex Alves Freitas:
Monotonicity Detection and Enforcement in Longitudinal Classification. 63-77 - Perusha Moodley, Benjamin Rosman, Xia Hong:
Understanding Structure of Concurrent Actions. 78-90
Agents, Knowledge Acquisition and Ontologies
- Yanko Kirchev, Katie Atkinson, Trevor J. M. Bench-Capon:
Demonstrating the Distinctions Between Persuasion and Deliberation Dialogues. 93-106 - Ryan Colin Gibson, Matt-Mouley Bouamrane, Mark D. Dunlop:
Ontology-Driven, Adaptive, Medical Questionnaires for Patients with Mild Learning Disabilities. 107-121 - Omar Zammit, Serengul Smith, Clifford De Raffaele, Miltos Petridis:
Exposing Knowledge: Providing a Real-Time View of the Domain Under Study for Students. 122-135
Short Technical Papers
- Faizan Bhatti, Diane E. Kitchin, Mauro Vallati:
A General Approach to Exploit Model Predictive Control for Guiding Automated Planning Search in Hybrid Domains. 139-145 - Saeed Rahimi Gorji, Ole-Christoffer Granmo, Adrian Phoulady, Morten Goodwin:
A Tsetlin Machine with Multigranular Clauses. 146-151 - Kareem Amin, Stelios Kapetanakis, Nikolaos Polatidis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis:
Building Knowledge Intensive Architectures for Heterogeneous NLP Workflows. 152-157 - Muhammad Shahroz Nadeem, Virginia N. L. Franqueira, Fatih Kurugollu, Xiaojun Zhai:
WVD: A New Synthetic Dataset for Video-Based Violence Detection. 158-164
Application Paper
- Himadri Sikhar Khargharia, Siddhartha Shakya, Russell Ainslie, Gilbert Owusu:
Evolving Prediction Models with Genetic Algorithm to Forecast Vehicle Volume in a Service Station (Best Application Paper). 167-179
Medical Applications
- Niladri Sett, Brian Mac Namee, Francesc Calvo, Brian Caulfield, John Costello, Seamas Donnelly, Jonas F. Dorn, Louis Jeay, Alison Keogh, Killian McManus, Ronan H. Mullan, Emer O'Hare, Caroline G. M. Perraudin:
Are You in Pain? Predicting Pain and Stiffness from Wearable Sensor Activity Data. 183-197 - Hajar Al-Hujailan, Frans Coenen:
Motif Discovery in Long Time Series: Classifying Phonocardiograms. 198-212 - Mercedes Argüello Casteleiro, Phil H. Jones, Sara Robertson, Richard M. Irvine, Fin Twomey, Goran Nenadic:
Exploring the Automatisation of Animal Health Surveillance Through Natural Language Processing. 213-226
Applications of Evolutionary Algorithms
- Massimo Salomoni, Jenny Carter:
GenMuse: An Evolutionary Creativity Enhancement Tool. 229-240 - Ingrid Nemecková, Carl James-Reynolds, Edward Currie:
Evolutionary Art with an EEG Fitness Function. 241-252 - Khawla AlShanqiti, Kin Fai Poon, Siddhartha Shakya, Andrei Sleptchenko, Anis Ouali:
A Multi-objective Design of In-Building Distributed Antenna System Using Evolutionary Algorithms. 253-266
Machine Learning for Time Series Data
- Shamsul Masum, John P. Chiverton, Ying Liu, Branislav Vuksanovic:
Investigation of Machine Learning Techniques in Forecasting of Blood Pressure Time Series Data. 269-282 - Dhanya Jothimani, Ayse Basar:
Stock Index Forecasting Using Time Series Decomposition-Based and Machine Learning Models. 283-292 - Mohammed Alshehri, Frans Coenen, Keith Dures:
Effective Sub-Sequence-Based Dynamic Time Warping. 293-305
Applications of Machine Learning
- Kyle Martin, Anne Liret, Nirmalie Wiratunga, Gilbert Owusu, Mathias Kern:
Developing a Catalogue of Explainability Methods to Support Expert and Non-expert Users. 309-324 - Naveed Khan, Zulfiqar Ali, Aftab Ali, Sally I. McClean, Darryl Charles, Paul N. Taylor, Detlef D. Nauck:
A Generic Model for End State Prediction of Business Processes Towards Target Compliance. 325-335 - Jeevan Singh Deusi, Elena Irena Popa:
An Investigation of the Accuracy of Real Time Speech Emotion Recognition. 336-349 - Aftab Ali, Mamun I. Abu-Tair, Joost Noppen, Sally I. McClean, Zhiwei Lin, Ian R. McChesney:
Contributing Features-Based Schemes for Software Defect Prediction. 350-361 - Muhammad Mubashir Hussain, Tariq Jadoon, Mian M. Awais:
Induction Motor Inter-turn Short Circuit Fault Detection Using Efficient Feature Extraction for Machine Learning Based Fault Detectors. 362-378 - Alia Algurashi, Wenjia Wang:
Hybrid Feature Selection Method for Improving File Fragment Classification. 379-391 - Jatin Kumar Chaudhary, Jiaqing Liu, Jukka-Pekka Skon, Yen-Wei Chen, Rajeev Kumar Kanth, Jukka Heikkonen:
Optimization of Silicon Tandem Solar Cells Using Artificial Neural Networks. 392-403 - Dalila Boughaci:
Stochastic Local Search Based Feature Selection for Intrusion Detection. 404-417
Knowledge Acquisition
- S. M. Murad Ali, Juan Carlos Augusto, David Windridge:
Improving the Adaptation Process for a New Smart Home User. 421-434
Short Application Papers
- Marjan Najafabadipour, Juan Manuel Tuñas, Alejandro Rodríguez González, Ernestina Menasalvas:
Analysis of Electronic Health Records to Identify the Patient's Treatment Lines: Challenges and Opportunities. 437-442 - Martin Svejda, Roger J. Tait:
Characterisation of VBM Algorithms for Processing of Medical MRI Images. 443-448 - Bjørnar Tessem:
Analogical News Angles from Text Similarity. 449-455 - Carl James-Reynolds, Edward Currie:
Mindfulness Mirror. 456-461 - Mathias Kern, Botond Virginas:
Predicting Bid Success with a Case-Based Reasoning Approach: Explainability and Business Acceptance. 462-467 - Sumanto Dutta, Anup Nandy:
Data Augmentation for Ambulatory EEG Based Cognitive State Taxonomy System with RNN-LSTM. 468-473 - Ben Peachey Higdon, Karim El Mokhtari, Ayse Basar:
Time-Series-Based Classification of Financial Forecasting Discrepancies. 474-479 - Quoc Hung Ngo, Nhien-An Le-Khac, M. Tahar Kechadi:
Predicting Soil pH by Using Nearest Fields. 480-486 - Jérémie Clos, Rong Qu, Jason A. D. Atkin:
Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning. 487-493 - Omesaad Rado, Daniel Neagu:
On Selection of Optimal Classifiers. 494-499
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