SGAI Conf.

Keyphrases

Publications

2023

Christoph Tholen, Mattis Wolf
On the Development of a Candidate Selection System for Automated Plastic Waste Detection Using Airborne Based Remote Sensing. SGAI Conf. (2023)
Angelo Pirrone, Peter C. R. Lane, Laura Bartlett, Noman Javed, Fernand Gobet
Heuristic Search of Heuristics. SGAI Conf. (2023)
Waleed Kareem, Noorhan Abbas
Fighting Lies with Intelligence: Using Large Language Models and Chain of Thoughts Technique to Combat Fake News. SGAI Conf. (2023)
Lars Nolle, Frederic T. Stahl, Tarek A. El-Mihoub
On Explanations for Hybrid Artificial Intelligence. SGAI Conf. (2023)
Jarrad Jinks
Intermediate Task Ensembling for Sarcasm Detection. SGAI Conf. (2023)
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. SGAI Conf. (2023)
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. SGAI Conf. (2023)
Eseosa Oshodin
Predicting Social Trust from Implicit Feedback. SGAI Conf. (2023)
Ramazan Esmeli, Hassana Abdullahi, Mohamed Bader-El-Den, Ansam Al-Gburi
Bias in Recommender Systems: Item Price Perspective. SGAI Conf. (2023)
Gayani Nanayakkara, Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon
Clinical Dialogue Transcription Error Correction with Self-supervision. SGAI Conf. (2023)
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. SGAI Conf. (2023)
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. SGAI Conf. (2023)
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. SGAI Conf. (2023)
Rune Alexander Laursen, Peshang Alo, Morten Goodwin, Per-Arne Andersen
Distinct Sequential Models for Inference Boosting. SGAI Conf. (2023)
Till Schlüsselburg, Christoph Tholen, Lars Nolle
On the Application of Feed-Forward Artificial Neural Networks to the Maritime Target Motion Analysis Problem. SGAI Conf. (2023)
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. SGAI Conf. (2023)
Aidan Duggan, Ted Scully, Niall Smith, Alan Giltinan
Profiling Power Consumption for Deep Learning on Resource Limited Devices. SGAI Conf. (2023)
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. SGAI Conf. (2023)
Christoph Manss, Isabel Guenther, Florian Rahe
Cropline and Weed Detection in Corn Using Weak Supervision. SGAI Conf. (2023)
Michael Free, Andrew Langworthy, Mary Dimitropoulaki, Simon Thompson
Towards Goal-Oriented Agents for Evolving Problems Observed via Conversation. SGAI Conf. (2023)
Waqar Ahmed, Sana Riaz, Khunsa Iftikhar, Savas Konur
Speech Emotion Recognition Using Deep Learning. SGAI Conf. (2023)
Uttam Paul
COVID-19 Liquor Sales Forecasting Model. SGAI Conf. (2023)
Betül Bayrak, Kerstin Bach
PertCF: A Perturbation-Based Counterfactual Generation Approach. SGAI Conf. (2023)
Nicolas Schuler, Maximilian Hoffmann, Hans-Peter Beise, Ralph Bergmann
Semi-supervised Similarity Learning in Process-Oriented Case-Based Reasoning. SGAI Conf. (2023)
Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin, Ivar Oveland
A Contrastive Learning Scheme with Transformer Innate Patches. SGAI Conf. (2023)
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. SGAI Conf. (2023)
Mohamed Ihmeida, Muhammad Shahzad
Deep Despeckling of SAR Images to Improve Change Detection Performance. SGAI Conf. (2023)
Frank Eichinger, Jannik Kiesel, Matthias Dorner, Stefan Arnold
Estimations of Professional Experience with Panel Data to Improve Salary Predictions. SGAI Conf. (2023)
Chris Prusakiewicz, Ken McGarry
Quantitative Approach of Geospatial Sentiment Analysis to Reveal Opinions on the War in Ukraine. SGAI Conf. (2023)
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. SGAI Conf. (2023)
Snobin Antony, Raghi Roy, Yaxin Bi
Q-Learning: Solutions for Grid World Problem with Forward and Backward Reward Propagations. SGAI Conf. (2023)
Brett Regnier, John Z. Zhang
A Neural Network Approach to Dragon Boat Partition Problem(Abstract). SGAI Conf. (2023)
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. SGAI Conf. (2023)
Shashank Shekhar, Anthony Favier, Rachid Alami, Madalina Croitoru
A Knowledge Rich Task Planning Framework for Human-Robot Collaboration. SGAI Conf. (2023)
Oliver Dippel, Alexei Lisitsa, Bei Peng
Deep Reinforcement Learning for Continuous Control of Material Thickness. SGAI Conf. (2023)
Emmanuel Osei-Brefo, Richard J. Mitchell, Xia Hong
Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction. SGAI Conf. (2023)
Muhammad Fahad Zia, Sri Harish Kalidass, Jonathan Francis Roscoe
SANTA: Semi-supervised Adversarial Network Threat and Anomaly Detection System. SGAI Conf. (2023)
Dmitry Vengertsev, Elena Sherman
Confidence Preservation Property in Knowledge Distillation Abstractions. SGAI Conf. (2023)
Carolin Leluschko, Christoph Tholen
Goals and Stakeholder Involvement in XAI for Remote Sensing: A Structured Literature Review. SGAI Conf. (2023)
Joe Collenette, Louise A. Dennis, Michael Fisher
Prospective Responsibility for Multi-agent Systems. SGAI Conf. (2023)
Omar Adalat, Daniele Scrimieri, Savas Konur
Optimal Manufacturing Controller Synthesis Using Situation Calculus. SGAI Conf. (2023)
Alec Parise, Brian Mac Namee
Exploring Optimal Configurations in Active Learning for Medical Imaging. SGAI Conf. (2023)
Carl Adams, Mohsen Eslamnejad, Anita Khadka, Andrew M'manga, Heather Shaw, Yuchen Zhao
Auditing AI Systems: A Metadata Approach. SGAI Conf. (2023)
Daniel Lukats, Frederic T. Stahl
On Reproducible Implementations in Unsupervised Concept Drift Detection Algorithms Research. SGAI Conf. (2023)
Mangaliso Mngomezulu, Mandlenkosi Victor Gwetu, Jean Vincent Fonou Dombeu
Solar Flare Forecasting Using Individual and Ensemble RNN Models. SGAI Conf. (2023)
Ayan Kumar Bhowmick, Ashish Jagmohan, Aditya Vempaty, Prasenjit Dey, Leigh Hall, Jeremy Hartman, Ravi Kokku, Hema Maheshwari
Automating Question Generation From Educational Text. SGAI Conf. (2023)
Haneen A. Alharbi, Igor Barsukov, Rudi Grosman, Alexei Lisitsa
Interpreting NMR Spectra by Constraint Solving. SGAI Conf. (2023)

volume 14381, 2023

Artificial Intelligence XL - 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12-14, 2023, Proceedings SGAI Conf. 14381 (2023)

2022

Tarek A. El-Mihoub, Lars Nolle, Frederic T. Stahl
Explainable Boosting Machines for Network Intrusion Detection with Features Reduction. SGAI Conf. (2022)

volume 13652, 2022

Artificial Intelligence XXXIX - 42nd SGAI International Conference on Artificial Intelligence, AI 2022, Cambridge, UK, December 13-15, 2022, Proceedings SGAI Conf. 13652 (2022)