Imagen de Portada

Multimodal Classification of Teaching Activities from University Lecture Recordings

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sapena, Oscar, Onaindia, Eva
Formato:	Preprint
Publicado:	2023
Materias:	Computation and Language Machine Learning 68T05 (Primary), 97P80 (Secondary) I.2.6; I.2.7; I.5.4
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Smotrom tvoja pa ander drogoj verden! Resurrecting Dead Pidgin with Generative Models: Russenorsk Case Study
por: Tikhonov, Alexey, et al.
Publicado: (2025)

Rule Extraction in Machine Learning: Chat Incremental Pattern Constructor
por: Nwokocha, Caleb Princewill
Publicado: (2022)

It's 2025 -- Narrative Learning is the new baseline to beat for explainable machine learning
por: Baker, Gregory D.
Publicado: (2025)

Approaches to Semantic Textual Similarity in Slovak Language: From Algorithms to Transformers
por: Radosky, Lukas, et al.
Publicado: (2026)

Energy-Efficient Information Representation in MNIST Classification Using Biologically Inspired Learning
por: Stricker, Patrick, et al.
Publicado: (2026)

Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF
por: Arabov, Mullosharaf K.
Publicado: (2026)

BitSkip: An Empirical Analysis of Quantization and Early Exit Composition in Transformers
por: Bhuvaneswaran, Ramshankar, et al.
Publicado: (2025)

Think Thrice Before You Speak: Dual knowledge-enhanced Theory-of-Mind Reasoning for Persuasive Agents
por: Ma, Minghui, et al.
Publicado: (2026)

Cognitive-Uncertainty Guided Knowledge Distillation for Accurate Classification of Student Misconceptions
por: Liu, Qirui, et al.
Publicado: (2026)

Application of deep learning approaches for medieval historical documents transcription
por: Voloshchuk, Maksym, et al.
Publicado: (2025)

CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density
por: Kaiser, Daniel, et al.
Publicado: (2025)

Do Reasoning Models Enhance Embedding Models?
por: Chan, Wun Yu, et al.
Publicado: (2026)

Research on a hybrid LSTM-CNN-Attention model for text-based web content classification
por: Kuz, Mykola, et al.
Publicado: (2025)

Linguistic Collapse: Neural Collapse in (Large) Language Models
por: Wu, Robert, et al.
Publicado: (2024)

How much do LLMs learn from negative examples?
por: Hamdan, Shadi, et al.
Publicado: (2025)

From Noise to Diversity: Random Embedding Injection in LLM Reasoning
por: Kim, Heejun, et al.
Publicado: (2026)

MAcPNN: Mutual Assisted Learning on Data Streams with Temporal Dependence
por: Giannini, Federico, et al.
Publicado: (2026)

Democratizing GraphRAG: Linear, CPU-Only Graph Retrieval for Multi-Hop QA
por: Wang, Qizhi
Publicado: (2025)

PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues
por: Kajare, Prajwal Vijay, et al.
Publicado: (2026)

propella-1: Multi-Property Document Annotation for LLM Data Curation at Scale
por: Idahl, Maximilian, et al.
Publicado: (2026)

Modularity in Transformers: Investigating Neuron Separability & Specialization
por: Pochinkov, Nicholas, et al.
Publicado: (2024)

Constitution or Collapse? Exploring Constitutional AI with Llama 3-8B
por: Zhang, Xue
Publicado: (2025)

XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML
por: Estevanell-Valladares, Ernesto L., et al.
Publicado: (2025)

CLEV: LLM-Based Evaluation Through Lightweight Efficient Voting for Free-Form Question-Answering
por: Badshah, Sher, et al.
Publicado: (2025)

Semantic Retention and Extreme Compression in LLMs: Can We Have Both?
por: Laborde, Stanislas, et al.
Publicado: (2025)

Claim Automation using Large Language Model
por: Mo, Zhengda, et al.
Publicado: (2026)

DCER: Dual-Stage Compression and Energy-Based Reconstruction
por: Wang, Yiwen, et al.
Publicado: (2026)

An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool
por: Lomasto, Luigi, et al.
Publicado: (2026)

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios
por: Yao, Huaiyuan, et al.
Publicado: (2025)

A Comparative Study of Feature Selection in Tsetlin Machines
por: Halenka, Vojtech, et al.
Publicado: (2025)

SOMson -- Sonification of Multidimensional Data in Kohonen Maps
por: Linke, Simon, et al.
Publicado: (2024)

Clarification as Supervision: Reinforcement Learning for Vision-Language Interfaces
por: Gkountouras, John, et al.
Publicado: (2025)

Feature Selection Based on Reinforcement Learning and Hazard State Classification for Magnetic Adhesion Wall-Climbing Robots
por: Ma, Zhen, et al.
Publicado: (2025)

NeuroState-Bench: A Human-Calibrated Benchmark for Commitment Integrity in LLM Agent Profiles
por: Jia, Xiao
Publicado: (2026)

Harnessing non-adversarial robustness in large language models
por: Zhou, Qinghua, et al.
Publicado: (2026)

Reconstructing 12-Lead ECG from 3-Lead ECG using Variational Autoencoder to Improve Cardiac Disease Detection of Wearable ECG Devices
por: Guan, Xinyan, et al.
Publicado: (2025)

Prevailing Research Areas for Music AI in the Era of Foundation Models
por: Wei, Megan, et al.
Publicado: (2024)

Geometric-Stochastic Multimodal Deep Learning for Predictive Modeling of SUDEP and Stroke Vulnerability
por: Girish, Preksha, et al.
Publicado: (2025)

Synthetic data for ratemaking: imputation-based methods vs adversarial networks and autoencoders
por: Havrylenko, Yevhen, et al.
Publicado: (2025)

Proficiency-Aware Adaptation and Data Augmentation for Robust L2 ASR
por: Sun, Ling, et al.
Publicado: (2025)