- Sahib Julka
, Michael Granitzer:
Knowledge Distillation with Segment Anything (SAM) Model for Planetary Geological Mapping. LOD (1) 2023: 68-77 - Sahib Julka, Rodion Ishmukhametov, Michael Granitzer:
Deep Active Learning with Concept Drifts for Detection of Mercury's Bow Shock and Magnetopause Crossings. LOD (1) 2023: 390-404 - Vera Kalinichenko:
Leverage Mathematics' Capability to Compress and Generalize as Application of ML Embedding Extraction from LLMs and Its Adaptation in the Automotive Space. LOD (1) 2023: 15-23 - Kunjira Kingphai, Yashar Moshfeghi:
On Channel Selection for EEG-Based Mental Workload Classification. LOD (2) 2023: 403-417 - Jan Kronqvist, Boda Li, Jan Rolfes, Shudian Zhao:
Alternating Mixed-Integer Programming and Neural Network Training for Approximating Stochastic Two-Stage Problems. LOD (2) 2023: 124-139 - Moritz Lange, Noah Krystiniak, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott:
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison. LOD (2) 2023: 177-191 - Renato De Leone, Francesca Maggioni, Andrea Spinelli:
A Multiclass Robust Twin Parametric Margin Support Vector Machine with an Application to Vehicles Emissions. LOD (2) 2023: 299-310 - Ang Li, Peter J. Stuckey, Sven Koenig, T. K. Satish Kumar:
A FastMap-Based Framework for Efficiently Computing Top-K Projected Centrality. LOD (1) 2023: 158-173 - Jiye Li, Yun Yin, Daniel Lafond, Alireza Ghasemi, Claver Diallo, Eric Bertrand:
Integrated Human-AI Forecasting for Preventive Maintenance Task Duration Estimation. LOD (2) 2023: 3-18 - Zijun Liu, Xinxin Wu, Wei Yao:
Social Media Analysis: The Relationship Between Private Investors and Stock Price. LOD (2) 2023: 45-54 - Rodica Ioana Lung, Mihai-Alexandru Suciu:
An Evolutionary Approach to Feature Selection and Classification. LOD (1) 2023: 333-347 - Dennis Maier, Matthias L. Hemmje, Zoran Kikic, Frank Wefers:
Real-Time Emotion Recognition in Online Video Conferences for Medical Consultations. LOD (1) 2023: 479-487 - Srijoni Majumdar, Evangelos Pournaras:
Consensus-Based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning. LOD (1) 2023: 1-14 - Andrea Martin, Kristen Brent Venable:
Decision-Making over Compact Preference Structures. LOD (2) 2023: 373-387 - Niall McGuire, Yashar Moshfeghi:
On Ensemble Learning for Mental Workload Classification. LOD (2) 2023: 358-372 - Niall McGuire, Yashar Moshfeghi:
What Song Am I Thinking Of? LOD (2) 2023: 418-432 - Michael Mittermaier, Takfarinas Saber, Goetz Botterweck:
Learning Graph Configuration Spaces with Graph Embedding in Engineering Domains. LOD (2) 2023: 334-348 - Alexander Nasuta, Marco Kemmerling, Daniel Lütticke, Robert H. Schmitt:
Reward Shaping for Job Shop Scheduling. LOD (1) 2023: 197-211 - Jirí Novák, Peter Chudý:
Dynamic Soaring in Uncertain Wind Conditions: Polynomial Chaos Expansion Approach. LOD (1) 2023: 104-115 - Maria Alexandra Oliveira, Luís Guimarães, José Luís Borges, Bernardo Almada-Lobo:
A Data-Driven Monitoring Approach for Diagnosing Quality Degradation in a Glass Container Process. LOD (1) 2023: 288-302 - Eric Paquet, Herna L. Viktor, Wojtek Michalowski, Gabriel St-Pierre Lemieux:
ProVolOne - Protein Volume Prediction Using a Multi-attention, Multi-resolution Deep Neural Network and Finite Element Analysis. LOD (1) 2023: 274-287 - Abhijeet Pendyala, Justin Dettmer, Tobias Glasmachers, Asma Atamna:
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation. LOD (1) 2023: 78-92 - Piotr Pomorski, Denise Gorse:
Improving Portfolio Performance Using a Novel Method for Predicting Financial Regimes. LOD (2) 2023: 94-108 - Steven D. Prestwich:
Solving Mixed Influence Diagrams by Reinforcement Learning. LOD (2) 2023: 255-269 - Fitria Wulandari Ramlan, James McDermott:
Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data. LOD (1) 2023: 142-157 - Gerard Rinkus:
A Radically New Theory of How the Brain Represents and Computes with Probabilities. LOD (2) 2023: 466-480 - Tarek Salhi, John R. Woodward:
SMBOX: A Scalable and Efficient Method for Sequential Model-Based Parameter Optimization. LOD (2) 2023: 149-162 - José Diogo Marques dos Santos, José Paulo Marques dos Santos:
Path-Weights and Layer-Wise Relevance Propagation for Explainability of ANNs with fMRI Data. LOD (2) 2023: 433-448 - Stanislav Selitskiy:
"It Looks All the Same to Me": Cross-Index Training for Long-Term Financial Series Prediction. LOD (1) 2023: 348-363 - Rakesh Sengupta, Surampudi Bapi Raju, Anindya Pattanayak:
Exploring Emergent Properties of Recurrent Neural Networks Using a Novel Energy Function Formalism. LOD (1) 2023: 303-317
