Grigori Sidorov
Biographic Data
| ID | 8323194 |
|---|---|
| NAME | Grigori Sidorov |
| GIVEN NAMES | Grigori |
| FAMILY NAME | Sidorov |
| SIGNATURE | SIDOROV G |
| AFFILIATIONS | Instituto Politécnico Nacional |
| ORCID | 0000-0003-3901-3522 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Explainable Patient-Level Cognitive Impairment Screening via Temporal, Semantic, and Psycholinguistic Multimodal AI
Early diagnosis of cognitive decline is vital for timely treatment of mild cognitive impairment (MCI) and Alzheimer’s disease (AD), yet standard clinical assessments often miss subtle longitudinal language changes. We propose a hierarchical hybrid intelligence framework integrating long-context language modeling, temporal progression, semantic graph reasoning, psycholinguistic biomarkers, and contrastive progression learning to classify patient s…
Detection of Negative Emotions in Short Texts Using Deep Neural Networks
Emotion detection is crucial in various domains, including psychology, health, social sciences, and marketing. Specifically, in psychology, identifying negative emotions in short Spanish texts, such as tweets, is vital for understanding individuals’ emotional states. However, this process is challenging because of factors such as lack of context, cultural nuances, and ambiguous expressions. Although much research on emotion classification in twee…
What goes on inside rumour and non-rumour tweets and their reactions
No prominent works on this page.
What goes on inside rumour and non-rumour tweets and their reactions
Detection of Negative Emotions in Short Texts Using Deep Neural Networks
Emotion detection is crucial in various domains, including psychology, health, social sciences, and marketing. Specifically, in psychology, identifying negative emotions in short Spanish texts, such as tweets, is vital for understanding individuals’ emotional states. However, this process is challenging because of factors such as lack of context, cultural nuances, and ambiguous expressions. Although much research on emotion classification in twee…
Explainable Patient-Level Cognitive Impairment Screening via Temporal, Semantic, and Psycholinguistic Multimodal AI
Early diagnosis of cognitive decline is vital for timely treatment of mild cognitive impairment (MCI) and Alzheimer’s disease (AD), yet standard clinical assessments often miss subtle longitudinal language changes. We propose a hierarchical hybrid intelligence framework integrating long-context language modeling, temporal progression, semantic graph reasoning, psycholinguistic biomarkers, and contrastive progression learning to classify patient s…
Artificial Intelligence (2 works) · Computer Science (2 works) · Misinformation and Its Impacts (2 works) · Topic Modeling (2 works) · Advanced Text Analysis Techniques (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Artificial neural network (1 work) · Cognition (1 work) · Cognitive psychology (1 work) · Counterfactual thinking (1 work)