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39th 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
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
Monotonicity Detection and Enforcement in Longitudinal Classification. 63-77 - Perusha Moodley
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
Ontology-Driven, Adaptive, Medical Questionnaires for Patients with Mild Learning Disabilities. 107-121 - Omar Zammit
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
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
WVD: A New Synthetic Dataset for Video-Based Violence Detection. 158-164
Application Paper
- Himadri Sikhar Khargharia
Evolving Prediction Models with Genetic Algorithm to Forecast Vehicle Volume in a Service Station (Best Application Paper). 167-179
Medical Applications
- Niladri Sett
Are You in Pain? Predicting Pain and Stiffness from Wearable Sensor Activity Data. 183-197 - Hajar Al-Hujailan
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
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
A Multi-objective Design of In-Building Distributed Antenna System Using Evolutionary Algorithms. 253-266
Machine Learning for Time Series Data
- Shamsul Masum
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
Effective Sub-Sequence-Based Dynamic Time Warping. 293-305
Applications of Machine Learning
- Kyle Martin
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
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
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
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
Improving the Adaptation Process for a New Smart Home User. 421-434
Short Application Papers
- Marjan Najafabadipour
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
Data Augmentation for Ambulatory EEG Based Cognitive State Taxonomy System with RNN-LSTM. 468-473 - Ben Peachey Higdon
Time-Series-Based Classification of Financial Forecasting Discrepancies. 474-479 - Quoc Hung Ngo
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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