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Russian Academy of Sciences

Academic institutioneurope · ru
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Research library28linked papers
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Selected work

Representative Papers

Searching for Robust Augmentations to Improve Out-of-Domain Generalization in Dermoscopic Skin Cancer Classification

Jul 29, 2026

This study addresses the significant degradation in generalization performance of skin cancer classification models under cross-device and varying acquisition conditions. Systematically evaluating single, photometric-combined, and composite data augmentation strategies within a ConvNeXt-Large architecture and assessed via ROC-AUC on multi-source ISIC data, the work demonstrates that augmentations simulating realistic domain shifts yield greater out-of-distribution (OOD) robustness than those merely optimizing in-domain performance. The proposed composite augmentation achieves the largest gain, improving average AUC by 0.053 (p<0.001). To mitigate evaluation bias, a lesion-ID-based source separation protocol is employed, and in independent clinical testing, sensitivity increases from 0.591 to 0.818.

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Discrete time phased Petri box calculus dtphPBC

Jul 27, 2026

This work addresses the challenge of uniformly modeling multiple action delays—including stochastic, deterministic, and general delays—in concurrent systems under discrete time. The paper proposes the dtphPBC framework, which introduces discrete phase-type distributions into Petri Box Calculus for the first time. By leveraging the transition probability matrix of discrete-time Markov chains with an absorbing state, the approach precisely characterizes diverse delay behaviors. A structured operational semantics seamlessly integrates instantaneous and timed actions, yielding a step semantics grounded in labeled probabilistic transition systems. This model coherently accommodates both zero-delay and positive-delay actions, enabling accurate representation of complex timing characteristics. The framework’s semantic consistency and constructiveness are demonstrated through illustrative examples.

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Recent publications

Latest Papers

Searching for Robust Augmentations to Improve Out-of-Domain Generalization in Dermoscopic Skin Cancer Classification

Jul 29, 2026

This study addresses the significant degradation in generalization performance of skin cancer classification models under cross-device and varying acquisition conditions. Systematically evaluating single, photometric-combined, and composite data augmentation strategies within a ConvNeXt-Large architecture and assessed via ROC-AUC on multi-source ISIC data, the work demonstrates that augmentations simulating realistic domain shifts yield greater out-of-distribution (OOD) robustness than those merely optimizing in-domain performance. The proposed composite augmentation achieves the largest gain, improving average AUC by 0.053 (p<0.001). To mitigate evaluation bias, a lesion-ID-based source separation protocol is employed, and in independent clinical testing, sensitivity increases from 0.591 to 0.818.

0 citationsRead paper

Discrete time phased Petri box calculus dtphPBC

Jul 27, 2026

This work addresses the challenge of uniformly modeling multiple action delays—including stochastic, deterministic, and general delays—in concurrent systems under discrete time. The paper proposes the dtphPBC framework, which introduces discrete phase-type distributions into Petri Box Calculus for the first time. By leveraging the transition probability matrix of discrete-time Markov chains with an absorbing state, the approach precisely characterizes diverse delay behaviors. A structured operational semantics seamlessly integrates instantaneous and timed actions, yielding a step semantics grounded in labeled probabilistic transition systems. This model coherently accommodates both zero-delay and positive-delay actions, enabling accurate representation of complex timing characteristics. The framework’s semantic consistency and constructiveness are demonstrated through illustrative examples.

0 citationsRead paper