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Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?

Advances in Information Retrieval, p.384-402

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Learning-to-Rank with Nested Feedback

Advances in Information Retrieval, p.306-315

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An In-Depth Comparison of Neural and Probabilistic Tree Models for Learning-to-rank

Advances in Information Retrieval, p.468-476

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Deep Stacking Ensemble Learning Applied to Profiling Side-Channel Attacks

Lecture notes in computer science, 2024, Vol.14530, p.235-255

2024

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A KPIs-Based Reliability Measuring Method for Service System

Algorithms and Architectures for Parallel Processing, 2024, Vol.14491, p.458-477

2024

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Adding Dynamic Simulation to Business Process Modeling via System Dynamics

Business Process Management Workshops, p.565-576

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Dynamic and scalable assessment of the senescence-associated secretory phenotype (SASP)

Cellular Senescence and Aging, 2024, Vol.181, p.181-195

2024

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Model-Agnostic Federated Learning

Euro-Par 2023: Parallel Processing, p.383-396

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Profiling Cyber Attackers by Classification Techniques; A Case Study on Russian Hackers

Cybersecurity in the Age of Smart Societies, 2023, p.171-201

2023

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Threats to Journalists from the Consumer Internet of Things

Proceedings of the International Conference on Cybersecurity, Situational Awareness and Social Media, p.303-326

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Learning Locally Interpretable Rule Ensemble

Machine Learning and Knowledge Discovery in Databases: Research Track, p.360-377

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Mining Multiple Class Imbalanced Datasets Using a Specialized Balancing Algorithm and the Adaboost Technique

Computational Collective Intelligence, p.819-831

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ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification

Machine Learning and Knowledge Discovery in Databases: Research Track, p.103-120

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Design Freedoms of Lattice Structures for Interlock Bonding

Future Automotive Production Conference 2022, p.156-169

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Archetypes of Business Models for Circular Economy: A Classification Approach and Value Perspective

Sustainable Design and Manufacturing, 2023, Vol.338, p.133-148

2023

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Balancing Selection and Diversity in Ensemble Learning with Exponential Mixture Model

Artificial Neural Networks and Machine Learning - ICANN 2023, 2023, Vol.14256, p.307-319

2023

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Prophylactic Hepatitis E Vaccine

Advances in experimental medicine and biology, 2023, Vol.1417, p.227-245

2023

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Rational Closure Extension in SPO-Representable Inductive Inference Operators

Logics in Artificial Intelligence, p.561-576

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Measuring the Impact of Sustainability of Product-Service-Systems

Smart, Sustainable Manufacturing in an Ever-Changing World, p.435-446

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Experimental Analysis of Fast Crack Growth in Elastomers

Degradation of Elastomers in Practice, Experiments and Modeling, 2023, Vol.289, p.239-272

2023

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Complexity and Scalability of Defeasible Reasoning with Typicality in Many-Valued Weighted Knowledge Bases

Logics in Artificial Intelligence, p.481-497

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Energy budget during the propagation of a dynamic crack in elastomers

Constitutive Models for Rubber XII, 2023, p.371-375

1, 2023

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Triplets Oversampling for Class Imbalanced Federated Datasets

Machine Learning and Knowledge Discovery in Databases: Research Track, p.368-383

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veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System

Formal Methods, p.648-656

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Gradient-Boosted Based Structured and Unstructured Learning

Artificial Neural Networks and Machine Learning - ICANN 2023, 2023, Vol.14256, p.439-451

2023

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Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?

Learning-to-Rank with Nested Feedback

An In-Depth Comparison of Neural and Probabilistic Tree Models for Learning-to-rank

Deep Stacking Ensemble Learning Applied to Profiling Side-Channel Attacks

A KPIs-Based Reliability Measuring Method for Service System

Adding Dynamic Simulation to Business Process Modeling via System Dynamics

Dynamic and scalable assessment of the senescence-associated secretory phenotype (SASP)

Model-Agnostic Federated Learning

Profiling Cyber Attackers by Classification Techniques; A Case Study on Russian Hackers

Threats to Journalists from the Consumer Internet of Things

Learning Locally Interpretable Rule Ensemble

Mining Multiple Class Imbalanced Datasets Using a Specialized Balancing Algorithm and the Adaboost Technique

ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification

Design Freedoms of Lattice Structures for Interlock Bonding

Archetypes of Business Models for Circular Economy: A Classification Approach and Value Perspective

Balancing Selection and Diversity in Ensemble Learning with Exponential Mixture Model

Prophylactic Hepatitis E Vaccine

Rational Closure Extension in SPO-Representable Inductive Inference Operators

Measuring the Impact of Sustainability of Product-Service-Systems

Experimental Analysis of Fast Crack Growth in Elastomers

Complexity and Scalability of Defeasible Reasoning with Typicality in Many-Valued Weighted Knowledge Bases

Energy budget during the propagation of a dynamic crack in elastomers

Triplets Oversampling for Class Imbalanced Federated Datasets

veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System

Gradient-Boosted Based Structured and Unstructured Learning

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