A5055247959- Natural Language Processing Techniques
- Topic Modeling
- semigroups and automata theory
- Speech and dialogue systems
- Semantic Web and Ontologies
- Syntax, Semantics, Linguistic Variation
- Biomedical Text Mining and Ontologies
- Complex Network Analysis Techniques
- Language and cultural evolution
- Advanced Database Systems and Queries
- Algorithms and Data Compression
- Embodied and Extended Cognition
- Language Development and Disorders
- Spam and Phishing Detection
- Speech Recognition and Synthesis
- Network Security and Intrusion Detection
- Opinion Dynamics and Social Influence
- Philosophy and History of Science
- Advanced Text Analysis Techniques
- Human Mobility and Location-Based Analysis
- Neurobiology of Language and Bilingualism
- Time Series Analysis and Forecasting
- Image Retrieval and Classification Techniques
- Sentiment Analysis and Opinion Mining
- Urban Planning and Valuation
University of Utah
2020-2024
Stony Brook University
2016-2023
University of Science and Technology
2023
Seoul National University
2023
Farmingdale State College
2023
University of Oslo
2022
Bedford Research Foundation
2021
University of Edinburgh
2021
University of Salford
2021
University of California, Los Angeles
2021
Hard disk drive failures are one of the most common causes service downtime in data centers. Predictive maintenance techniques have been adopted to extend Remaining Useful Life (RUL) these drives, and minimize shortage loss. Several approaches based on machine deep learning proposed address issues, mostly exploiting models Self-Monitoring analysis Reporting Technology (SMART) attributes. While proven be reliable, their performance is affected by lack information about proximity failure time....
In this paper, we propose a novel structure-based partitioning algorithm able to break large ontology into different modules related specific topics for the domain of interest. particular, leverage topological properties graph and exploit several techniques derived from Network Analysis produce an effective without considering any information about semantics relationships. An automated tool has been developed preliminary experiments have conducted validate effectiveness our approach with...
Various aspects of syntax have recently been characterized in subregular terms.However, these characterizations operate over very different representations, including string encodings c-command relations as well tiers projected from derivation trees.We present a way to unify approaches via sensing tree automata Minimalist grammar dependency trees.Sensing are deterministic top-down that may inspect the labels all daughter nodes before assigning them specific states.It is already known cannot...
Nowadays, the need for well-structured ontologies in medical domain is rising, especially due to significant support these bring a number of groundbreaking applications, such as intelligent diagnosis system and decision-support systems. Indeed, considerable production clinical data belonging restricted sub domains has stressed efficient methodologies automatically process enormous amounts un-structured, specific information order make use knowledge provide. In this work, we propose...
Detection of human behavior in On-line Social Networks (OSNs) has become more and important for a wide range applications, such as security, marketing, parent controls so on, opening novel research areas, which have not been fully addressed yet. In this paper, we present two-stage method anomaly detection humans' while they are using social network. First, use Markov chains to automatically learn from the network graph number models behaviors (normal behaviors), second stage applies an...
The cognitive sciences are facing questions of how to select from competing theories or develop those that suit their current needs. However, traditional accounts theoretical virtues have not yet proven informative theory development in these fields. We advance a pragmatic account by which heuristics we use estimate theory’s contribution field’s body knowledge, and the degree it increases knowledge’s ability solve problems domain, problem-space. From this perspective, properties...
In this paper, we propose SemTree, a novel semantic index for supporting retrieval of information from huge amount document collections, assuming that semantics can be effectively expressed by set 〈subject, predicate, object〉 statements as in the RDF model. A distributed version KD-Tree has been then adopted providing scalable solution to indexing, leveraging mapping triples vectorial space. We investigate feasibility our approach real case study, considering problem finding inconsistencies...
Stabler’s (2013) top-down parser for Minimalist grammars has been used to account off-line processing preferences across a variety of seemingly unrelated phenomena cross-linguistically, via complexity metrics measuring “memory burden”. This paper extends the empirical coverage model by looking at asymmetries Italian relative clauses, as I discuss relevance these constructions in evaluating plausible structure-driven models difficulty.
This study investigates the effect of coordination on resolution relative clause attachment ambiguity in English and Italian. We also examined interplay RC length DP positions preferences coordinate structures, conducting a partial replication previous results (Hemforth et al. 2015). In two offline force-choice tasks, speakers favored local attachment, while Italian showed strong preference for non-local across all conditions. pattern aligns with established variation languages, but...