274 results on '"Krilavičius, Tomas"'
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2. Multi-intent Driven Contrastive Sequential Recommendation
3. GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs
4. Evaluating Vision Transformer Models for Visual Quality Control in Industrial Manufacturing
5. Fast and Adaptive Questionnaires for Voting Advice Applications
6. Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches
7. Exceptional Subitizing Patterns: Exploring Mathematical Abilities of Finnish Primary School Children with Piecewise Linear Regression
8. Intent Enhanced Self-supervised Hypergraph Learning for Session-Based Recommendation
9. BiCAE – A Bimodal Convolutional Autoencoder for Seed Purity Testing
10. ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models
11. Missing Data Imputation: Do Advanced ML/DL Techniques Outperform Traditional Approaches?
12. Machine Learning Based Tool for Automated Sperm Cell Tracking and Sperm Bundle Detection
13. DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation
14. Multi-spectral Gradient Residual Network for Haze Removal in Multi-sensor Remote Sensing Imagery
15. LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages
16. Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion
17. Job Title Prediction as a Dual Task of Expertise Prediction in Open Source Software
18. DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software Ecosystem
19. DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis
20. Bandits for Sponsored Search Auctions Under Unknown Valuation Model: Case Study in E-Commerce Advertising
21. Multiplex Community Detection for Resilient Electrical Segmentation Enabling Management of an Increasingly Complex Power Grid
22. MT-HCCAR: Multi-task Deep Learning with Hierarchical Classification and Attention-Based Regression for Cloud Property Retrieval
23. MedSyn: LLM-Based Synthetic Medical Text Generation Framework
24. Unbiased Recommendation Through Invariant Representation Learning
25. Enhancing Multi-objective Optimisation Through Machine Learning-Supported Multiphysics Simulation
26. A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation
27. Symbolic Prompt Tuning Completes the App Promotion Graph
28. Solving a Real-World Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward Engineering
29. DiffVersify: a Scalable Approach to Differentiable Pattern Mining with Coverage Regularization
30. Guiding Catalogue Enrichment with User Queries
31. Self-SLAM: A Self-supervised Learning Based Annotation Method to Reduce Labeling Overhead
32. Multiple Hypergraph Learning for Ephemeral Group Recommendation
33. Boosting Protein Language Models with Negative Sample Mining
34. Spatial-Temporal PDE Networks for Traffic Flow Forecasting
35. PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning
36. Robust Interaction-Based Relevance Modeling for Online e-Commerce Search
37. Learning Optimal Linear Precoding for Cell-Free Massive MIMO with GNN
38. HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction
39. AeroINR: Meta-learning for Efficient Generation of Aerodynamic Geometries
40. Spoofing Transaction Detection with Group Perceptual Enhanced Graph Neural Network
41. Time Series Clustering for Enhanced Dynamic Allocation in A/B Testing
42. Contrastive Learning Enhanced Diffusion Model for Improving Tropical Cyclone Intensity Estimation with Test-Time Adaptation
43. Spatial Transfer Learning for Estimating PM in Data-Poor Regions
44. VulEXplaineR: XAI for Vulnerability Detection on Assembly Code
45. Rejection Ensembles with Online Calibration
46. Reinforcement Learning Meets Microeconomics: Learning to Designate Price-Dependent Supply and Demand for Automated Trading
47. BESTMVQA: A Benchmark Evaluation System for Medical Visual Question Answering
48. HPExplorer: XAI Method to Explore the Relationship Between Hyperparameters and Model Performance
49. Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality
50. SAGS-DynamicBio: Integrating Semantic-Aware and Graph Structure-Aware Embedding for Dynamic Biological Data with Knowledge Graphs
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