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ORCID41th SGAI Conf. 2021: Cambridge, UK
- Max Bramer, Richard Ellis:
Artificial Intelligence XXXVIII - 41st SGAI International Conference on Artificial Intelligence, AI 2021, Cambridge, UK, December 14-16, 2021, Proceedings. Lecture Notes in Computer Science 13101, Springer 2021, ISBN 978-3-030-91099-0
Technical Papers
- Ke Shen, Mayank Kejriwal
:
On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models. 3-16
Machine Learning
- Daniel Rodriguez-Criado, Pilar Bachiller, Luis J. Manso:
Generation of Human-Aware Navigation Maps Using Graph Neural Networks. 19-32 - Christian R. Huyck, Carlos Samey:
Extended Category Learning with Spiking Nets and Spike Timing Dependent Plasticity. 33-43 - Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
ORACLE: End-to-End Model Based Reinforcement Learning. 44-57 - Aidan Wallace, Alexander E. I. Brownlee, David E. Cairns:
Towards Explaining Metaheuristic Solution Quality by Data Mining Surrogate Fitness Models for Importance of Variables. 58-72
AI Techniques
- Areski Himeur, Bruno Yun, Pierre Bisquert, Madalina Croitoru:
Assessing the Impact of Agents in Weighted Bipolar Argumentation Frameworks. 75-88 - Martin Fyvie, John A. W. McCall, Lee A. Christie:
Towards Explainable Metaheuristics: PCA for Trajectory Mining in Evolutionary Algorithms. 89-102 - Alexander Tettenborn, Alex Ellery:
AI Methods of Autonomous Geological Target Selection in the Hunt for Signs of Extraterrestrial Life. 103-116 - Martin Jedwabny, Pierre Bisquert, Madalina Croitoru:
Probabilistic Rule Induction for Transparent CBR Under Uncertainty. 117-130
Short Technical Stream Papers
- Waqar Ahmed, Savas Konur:
Detection of Brain Tumour Using Deep Learning. 133-138 - Hossein Ghodrati Noushahr, Jeremy Levesley, Samad Ahmadi, Evgeny M. Mirkes:
GaussianProductAttributes: Density-Based Distributed Representations for Products. 139-145 - Ahmed Abouzeid, Ole-Christoffer Granmo, Morten Goodwin:
Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes. 146-151 - Edward McDaid, Sarah McDaid:
Knowledge-Based Composable Inductive Programming. 152-157 - Mercedes Argüello Casteleiro, Nava Maroto, Chris Wroe, Carlos Sevillano Torrado, Chloe Henson, Jose Julio Des Diz, Maria Jesus Fernandez Prieto, Thomas Furmston, Diego Maseda-Fernandez, Manoj Kulshrestha, Robert Stevens, John A. Keane, Simon Peters:
Named Entity Recognition and Relation Extraction for COVID-19: Explainable Active Learning with Word2vec Embeddings and Transformer-Based BERT Models. 158-163
Application Papers
- Hugo Álvarez-Chaves, David F. Barrero, Mario Cobos, María Dolores Rodríguez-Moreno:
Patients Forecasting in Emergency Services by Using Machine Learning and Exogenous Variables. 167-180
Applications of Machine Learning
- Nishanthan Kamaleson, Dominique F. Chu, Fernando E. B. Otero:
Automatic Information Extraction from Electronic Documents Using Machine Learning. 183-194 - Sam Richardson, Yixie Shao, Dana Khartabil, Simon Thompson:
Modelling Satellite Data for Automobile Insurance Risk. 195-208 - Jing Qi, Girvan Burnside, Frans Coenen:
Ranking Pathology Data in the Absence of a Ground Truth. 209-223 - Himadri Sikhar Khargharia, Siddhartha Shakya, Russell Ainslie, Gilbert Owusu:
Evolving Large Scale Prediction Models for Vehicle Volume Forecasting in Service Stations. 224-238
AI for Medicine
- Alexandar Vincent-Paulraj, Girvan Burnside, Frans Coenen, Munir Pirmohamed, Lauren Walker:
Sequential Association Rule Mining Revisited: A Study Directed at Relational Pattern Mining for Multi-morbidity. 241-253 - Hanadi Aldosari, Frans Coenen, Gregory Y. H. Lip, Yalin Zheng:
Addressing the Challenge of Data Heterogeneity Using a Homogeneous Feature Vector Representation: A Study Using Time Series and Cardiovascular Disease Classification. 254-266 - Godwin Okechukwu Ogbuabor, Juan Carlos Augusto, Ralph Moseley, Aléchia van Wyk:
Context-Aware Support for Cardiac Health Monitoring Using Federated Machine Learning. 267-281 - Deepika Verma, Kerstin Bach, Paul Jarle Mork:
Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements. 282-295
Advances in Applied AI
- Nina Hagemann, Michael P. O'Mahony, Barry Smyth:
A Live-User Evaluation of a Visual Module Recommender and Advisory System for Undergraduate Students. 299-312 - Keyuan Zhang, Kaiyue Wu, Siyu Chen, Yunce Zhao, Xin Yao:
AdverseGen: A Practical Tool for Generating Adversarial Examples to Deep Neural Networks Using Black-Box Approaches. 313-326 - Mais Jamal, Aleksandr I. Panov:
Adaptive Maneuver Planning for Autonomous Vehicles Using Behavior Tree on Apollo Platform. 327-340 - Gaurav Misra, Matteo Migliavacca, Fernando E. B. Otero:
Behavioural User Identification from Clickstream Data for Business Improvement. 341-354
Short Application Stream Papers
- Frederic T. Stahl, Oliver Ferdinand, Lars Nolle, Alexandra Pehlken, Oliver Zielinski:
AI Enabled Bio Waste Contamination-Scanner. 357-363 - Ghayth AlMahadin, Ahmad Lotfi, Marie Mc Carthy, Philip Breedon:
Parkinson's Disease Tremor Severity Classification - A Comparison Between ON and OFF Medication State. 364-370 - Iker Esnaola-Gonzalez:
Towards Publishing Ontology-Based Data Quality Metadata of Open Data. 371-376 - Carl James-Reynolds, Edward Currie:
Towards a Brain Controller Interface for Generating Simple Berlin School Style Music with Interactive Genetic Algorithms. 377-382
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