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ORCID43rd SGAI Conf. 2023: Cambridge, UK
- Max Bramer, Frederic T. Stahl:
Artificial Intelligence XL - 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12-14, 2023, Proceedings. Lecture Notes in Computer Science 14381, Springer 2023, ISBN 978-3-031-47993-9
Technical Papers
- Lars Nolle, Frederic T. Stahl, Tarek A. El-Mihoub:
On Explanations for Hybrid Artificial Intelligence. 3-15
Speech and Natural Language Analysis
- Jarrad Jinks
:
Intermediate Task Ensembling for Sarcasm Detection. 19-32 - Gayani Nanayakkara, Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon:
Clinical Dialogue Transcription Error Correction with Self-supervision. 33-46 - Pernille Aaby, Daniel Biermann, Anis Yazidi, Gustavo Borges Moreno e Mello, Fabrizio Palumbo:
Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian. 47-58 - Dmitry Vengertsev, Elena Sherman:
Confidence Preservation Property in Knowledge Distillation Abstractions. 59-72
Image Analysis
- Alec Parise, Brian Mac Namee:
Exploring Optimal Configurations in Active Learning for Medical Imaging. 75-88 - Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma, Tobias Aasmoe, Mari Leonhardsen, Gro Herredsvela Rørvik:
CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric. 89-102 - Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin, Ivar Oveland:
A Contrastive Learning Scheme with Transformer Innate Patches. 103-114 - Mohamed Ihmeida, Muhammad Shahzad:
Deep Despeckling of SAR Images to Improve Change Detection Performance. 115-126
Neural Nets
- Aidan Duggan, Ted Scully, Niall Smith, Alan Giltinan:
Profiling Power Consumption for Deep Learning on Resource Limited Devices. 129-141 - Michael Free, Andrew Langworthy, Mary Dimitropoulaki, Simon Thompson:
Towards Goal-Oriented Agents for Evolving Problems Observed via Conversation. 142-155
Case Based Reasoning
- Nicolas Schuler, Maximilian Hoffmann, Hans-Peter Beise, Ralph Bergmann:
Semi-supervised Similarity Learning in Process-Oriented Case-Based Reasoning. 159-173 - Betül Bayrak, Kerstin Bach:
PertCF: A Perturbation-Based Counterfactual Generation Approach. 174-187
Short Technical Papers
- Waqar Ahmed, Sana Riaz, Khunsa Iftikhar, Savas Konur:
Speech Emotion Recognition Using Deep Learning. 191-197 - Rune Alexander Laursen, Peshang Alo, Morten Goodwin, Per-Arne Andersen:
Distinct Sequential Models for Inference Boosting. 198-203 - Daniel Lukats, Frederic T. Stahl:
On Reproducible Implementations in Unsupervised Concept Drift Detection Algorithms Research. 204-209 - Qin Ruan, Brian Mac Namee, Ruihai Dong:
Unveiling the Relationship Between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence. 210-215 - Xi Liu, Long Ma, Zhen Chen, Changgang Zheng, Ren Chen, Yong Liao, Shufan Yang:
A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment. 216-221 - Omar Adalat, Daniele Scrimieri, Savas Konur:
Optimal Manufacturing Controller Synthesis Using Situation Calculus. 222-227 - Eseosa Oshodin:
Predicting Social Trust from Implicit Feedback. 228-233 - Brett Regnier, John Z. Zhang:
A Neural Network Approach to Dragon Boat Partition Problem(Abstract). 234-240 - Carl Adams, Mohsen Eslamnejad, Anita Khadka, Andrew M'manga, Heather Shaw, Yuchen Zhao:
Auditing AI Systems: A Metadata Approach. 241-246 - Joe Collenette, Louise A. Dennis, Michael Fisher:
Prospective Responsibility for Multi-agent Systems. 247-252 - Waleed Kareem, Noorhan Abbas:
Fighting Lies with Intelligence: Using Large Language Models and Chain of Thoughts Technique to Combat Fake News. 253-258 - Shashank Shekhar, Anthony Favier, Rachid Alami, Madalina Croitoru:
A Knowledge Rich Task Planning Framework for Human-Robot Collaboration. 259-265 - Snobin Antony, Raghi Roy, Yaxin Bi:
Q-Learning: Solutions for Grid World Problem with Forward and Backward Reward Propagations. 266-271
Application Papers
- Martin Fyvie, John A. W. McCall, Lee A. Christie, Alexandru-Ciprian Zavoianu, Alexander E. I. Brownlee, Russell Ainslie:
Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures. 275-290
Machine Learning Applications
- Chris Prusakiewicz, Ken McGarry:
Quantitative Approach of Geospatial Sentiment Analysis to Reveal Opinions on the War in Ukraine. 293-306 - Mangaliso Mngomezulu, Mandlenkosi Victor Gwetu, Jean Vincent Fonou Dombeu:
Solar Flare Forecasting Using Individual and Ensemble RNN Models. 307-320 - Oliver Dippel, Alexei Lisitsa, Bei Peng:
Deep Reinforcement Learning for Continuous Control of Material Thickness. 321-334 - Muhammad Fahad Zia, Sri Harish Kalidass, Jonathan Francis Roscoe:
SANTA: Semi-supervised Adversarial Network Threat and Anomaly Detection System. 335-349 - Emmanuel Osei-Brefo, Richard J. Mitchell, Xia Hong:
Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction. 350-362
Machine Vision Applications
- Vetle Nesland Evensen, Gabriel Bergman Henriksen, Sondre Melhus, Ole Steine Olsen, Kristina Haugen, Dag Dolmen, Arne Wiklund, Per-Arne Andersen, Morten Goodwin, Lars Mørch Korslund, Nadia Saad Noori:
ReFrogID: Pattern Recognition for Pool Frog Identification Using Deep Learning and Feature Matching. 365-376 - Christoph Manss, Isabel Guenther, Florian Rahe:
Cropline and Weed Detection in Corn Using Weak Supervision. 377-390 - Misgina Tsighe Hagos, Niamh Belton, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee:
Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images. 391-403
Knowledge Discovery and Data Mining Applications
- Angelo Pirrone, Peter C. R. Lane, Laura Bartlett, Noman Javed, Fernand Gobet:
Heuristic Search of Heuristics. 407-420 - Ramazan Esmeli, Hassana Abdullahi, Mohamed Bader-El-Den, Ansam Al-Gburi:
Bias in Recommender Systems: Item Price Perspective. 421-433
Other AI Applications
- Ayan Kumar Bhowmick, Ashish Jagmohan, Aditya Vempaty, Prasenjit Dey, Leigh Hall, Jeremy Hartman, Ravi Kokku, Hema Maheshwari:
Automating Question Generation From Educational Text. 437-450 - Joseph Collins, Alexandru-Ciprian Zavoianu, John A. W. McCall:
Comparison of Simulated Annealing and Evolution Strategies for Optimising Cyclical Rosters with Uneven Demand and Flexible Trainee Placement. 451-464 - Haneen A. Alharbi, Igor Barsukov, Rudi Grosman, Alexei Lisitsa:
Interpreting NMR Spectra by Constraint Solving. 465-478
Short Application Papers
- Till Schlüsselburg, Christoph Tholen, Lars Nolle:
On the Application of Feed-Forward Artificial Neural Networks to the Maritime Target Motion Analysis Problem. 481-486 - Rawan Bin Shiha, Eric Atwell, Noorhan Abbas:
Detecting Bias in University News Articles: A Comparative Study Using BERT, GPT-3.5 and Google Bard Annotations. 487-492 - Lars E. O. Jacobson, Adrian A. Hopgood, Mohamed Bader-El-Den, Vincenzo Tamma, David Prendergast, Peter Osborn:
Hybrid System for Prostate MR Image Segmentation Using Expert Knowledge and Machine Learning. 493-498 - Uttam Paul:
COVID-19 Liquor Sales Forecasting Model. 499-505 - Christoph Tholen, Mattis Wolf:
On the Development of a Candidate Selection System for Automated Plastic Waste Detection Using Airborne Based Remote Sensing. 506-512 - Frank Eichinger, Jannik Kiesel, Matthias Dorner, Stefan Arnold:
Estimations of Professional Experience with Panel Data to Improve Salary Predictions. 513-518 - Carolin Leluschko, Christoph Tholen:
Goals and Stakeholder Involvement in XAI for Remote Sensing: A Structured Literature Review. 519-525
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