BackExaminar Comunicaciones por departamento (cas.) "Ciencia de la computación e inteligencia artificial"
Now showing items 1-9 of 9
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Characterising the rankings produced by combinatorial optimisation problems and finding their intersections.
Hernando Rodríguez, Leticia
; ; (Association for Computing Machinery, 2019-07)
[EN] The aim of this paper is to introduce the concept of intersection between combinatorial optimisation problems. We take into account that most algorithms, in their machinery, do not consider the exact objective function ... -
Mental Health Monitoring from Speech and Language
; Justo Blanco, Raquel; ; De Velasco Vázquez, Mikel (ISCA, 2022)
Concern for mental health has increased in the last years due to its impact in people life quality and its consequential effect on healthcare systems. Automatic systems that can help in the diagnosis, symptom monitoring, ... -
Multimodal feature evaluation and fusion for emotional well-being monitorization
; Justo Blanco, Raquel (Springer, 2022-04-26)
Mental health is a global issue that plays an important roll in the overall well-being of a person. Because of this, it is important to preserve it, and conversational systems have proven to be helpful in this task. This ... -
Semeval-2017 task 1: Semantic textual similarity-multilingual and cross-lingual focused evaluation
; ; Agirre Bengoa, Eneko; López Gazpio, Iñigo ; (ACL, 2017-08)
Semantic Textual Similarity (STS) measures the meaning similarity of sentences. Applications include machine translation (MT), summarization, generation, question answering (QA), short answer grading, semantic search, ... -
Service-independent payload analysis to improve intrusion detection in network traffic
Perona Balda, Iñigo; Gurrutxaga Goikoetxea, Ibai ; Arbelaiz Gallego, Olatz ; ; ; Pérez de la Fuente, Jesús María (ACM, 2008-11-27)
The popularity of computer networks broadens the scope for network attackers and increases the damage these attacks can cause. In this context, Intrusion Detection Systems (IDS) are included as part of any complete security ... -
Speech emotion recognition in Spanish TV Debates
; Justo Blanco, Raquel; De Velasco Vázquez, Mikel ; Torres Barañano, María Inés (ISCA, 2022)
Emotion recognition from speech is an active field of study that can help build more natural human-machine interaction systems. Even though the advancement of deep learning technology has brought improvements in this task, ... -
Superpixel Mixing: A Data Augmentation Technique For Robust Deep Visual Recognition Models
(IEEE, 2024-09-27)Data augmentation can mitigate overfitting problems in data exploration without increasing the size of the model. Existing cutmix-based data augmentation has been proven to signifi- cantly enhance deep learning ... -
Transfer learning in hierarchical dialogue topic classification with neural networks
Montenegro Portillo, César; Santana Hermida, Roberto; (IEEE, 2020-09-28)
Knowledge transfer between tasks can significantly improve the efficiency of machine learning algorithms. In supervised natural language understanding problems, this sort of improvement is critical since the availability ... -
Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation
; Labaka Intxauspe, Gorka; López Gazpio, Iñigo ; Agirre Bengoa, Eneko (ACL, 2018)
Following the recent success of word embeddings, it has been argued that there is no such thing as an ideal representation for words, as different models tend to capture divergent and often mutually incompatible aspects ...