Blog
Classificatore fuzzy ottimizzato per il gradiente: Uno studio di riferimento contro Modelli all'avanguardia
This paper presents a performance benchmarking study of a Gradient-Optimized Fuzzy Inference System (GF) classifier against several state-of-the-art machine learning models, inclusa la Foresta Casuale, XGBoost, Regressione logistica, Supporta macchine vettoriali, e reti neurali. The evaluation was conducted across five datasets from the...
Codificazione dei termini per la combinatoria estrema: Dispersione e complessità Dicotomie
We introduce \emph{Codificazione dei termini}, a novel framework for analysing extremal problems in discrete mathematics by encoding them as finite systems of \emph{equazioni di termini} (E, facoltativamente, \enfa{vincoli di non uguaglianza}). In its basic form, tutte le variabili spaziano su un singolo dominio, and we seek an...
Potenziamento delle prestazioni del classificatore con dati basati sull'opposizione Trasformazione
In questo documento, we introduce a novel data transformation framework based on Opposition-Based Learning (OBL) to boost the performance of traditional classification algorithms. Originally developed to accelerate convergence in optimization tasks, OBL is leveraged here to generate synthetic opposite samples that replace...
Un approccio geometrico ai problemi di ottimizzazione e scienza dei dati
We give new results for problems in computational and statistical machine learning using tools from high-dimensional geometry and probability. Suddividiamo la nostra trattazione in due parti. Nella parte I, we focus on computational considerations in optimization. Nello specifico, we give new algorithms...
Allineamento della forma tramite convezione non lineare Allen-Cahn
This paper demonstrates the impact of a phase field method on shape registration to align shapes of possibly different topology. It yields new insights into the building of discrepancy measures between shapes regardless of topology, which would have applications in fields of...
I modelli affettivi hanno una debole generalizzabilità al discorso atipico
Le condizioni del parlato e della voce possono alterare le proprietà acustiche del parlato, which could impact the performance of paralinguistic models for affect for people with atypical speech. We evaluate publicly available models for recognizing categorical and dimensional affect from speech on a dataset...
Corrispondenza di sottosequenze temporali lineari e supersequenze regex
It is well-known that checking whether a given string $w$ matches a given regular expression $r$ can be done in quadratic time $O(|w|\cdot |R|)$ and that this cannot be improved to a truly subquadratic running time of $O((|w|\cdot |R|)^{1-\epsilon})$ assuming the strong...
Profondo, modellazione basata sui dati dell’acustica della stanza: revisione della letteratura e prospettive di ricerca
Our everyday auditory experience is shaped by the acoustics of the indoor environments in which we live. Room acoustics modeling is aimed at establishing mathematical representations of acoustic wave propagation in such environments. These representations are relevant to a variety of problems...
GENCNIPPET: Automated Generation of Code Snippets for Supporting Programming Questions
Context: Software developers often ask questions on Technical Q&A forums like Stack Overflow (SO) to seek solutions to their programming-related problems (per esempio., errors and unexpected behavior of code). Problem: Many questions miss required code snippets due to the lack of readily available...
CHIME All-sky Multiday Pulsar Stacking Search (CHAMPSS): System Overview and First Discoveries
We describe the CHIME All-sky Multiday Pulsar Stacking Search (CHAMPSS) project. This novel radio pulsar survey revisits the full Northern Sky daily, offering unprecedented opportunity to detect highly intermittent pulsars, as well as faint sources via long-term data stacking. CHAMPSS uses the...