Daniel Palacios Alonso es investigador en el campo de la Informática y la Ingeniería. Su trabajo se centra principalmente en técnicas de Inteligencia Artificial, Machine Learning y reconocimiento de patrones aplicadas al análisis del habla, especialmente en el contexto de trastornos del habla como la enfermedad de Parkinson.

Algunos aspectos notables de su investigación incluyen:

1. Desarrollo de redes neuronales convolucionales (CNN) para la detección de ataques de presentación facial en sistemas automatizados de control fronterizo.
2. Investigación de ataques de presentación facial multiespectrales mediante enfoques de desmorfización basados en CNN.
3. Análisis de las características acústicas del flujo glotal para diferenciar la enfermedad de Parkinson y el habla envejecida.
4. Diseño de un sistema basado en el habla (MonParLoc) para el análisis y diagnóstico de la enfermedad de Parkinson.
5. 5. Investigación sobre la cinemática de la articulación en la enfermedad de Parkinson y el envejecimiento del habla, incluyendo el desarrollo de modelos neuromecánicos de la articulación mandíbula-lengua.

Además, su trabajo ha explorado otros temas como:

1. Detección de emociones en grabaciones de voz utilizando características acústicas y algoritmos de aprendizaje automático.
2. Clasificación de estrés a partir de muestras de voz utilizando análisis de componentes independientes (ICA).
3. Diseño de un sistema de apoyo a la toma de decisiones para la predicción del riesgo de recaída en pacientes con cáncer de mama.
4. Análisis del estrés emocional en la fonación y su correlación con los formantes del habla.

Ha publicado numerosos artículos en revistas de prestigio y ha presentado su trabajo en conferencias internacionales, como la Conferencia Internacional de Acústica, Habla y Procesamiento de Señales (ICASSP) y el IEEE International Workshop on Machine Learning for Signal Processing (MLSP). En general, la investigación de Daniel Palacios Alonso se centra en la comprensión de los patrones del habla y el desarrollo de métodos para analizar y procesar señales del habla, con aplicaciones en el diagnóstico y seguimiento de trastornos neurológicos.

Aqui están las publicaciones de Daniel Palacios Alonso:

-A GUIDED SCRATCH VISUAL EXECUTION ENVIRONMENT TO INTRODUCE PROGRAMMING CONCEPTS TO CS1 STUDENTS

-A METHODOLOGY FOR MONITORING EMOTIONAL STRESS IN PHONATION

-A METHODOLOGY TO DIFFERENTIATE PARKINSON'S DISEASE AND AGING SPEECH BASED ON GLOTTAL FLOW ACOUSTIC ANALYSIS 

-A NEUROMECHANICAL MODEL OF JAW-TONGUE ARTICULATION IN PARKINSON’S DISEASE SPEECH

-A NEUROMOTOR TO ACOUSTICAL JAW-TONGUE PROJECTION MODEL WITH APPLICATION IN PARKINSON'S DISEASE HYPOKINETIC DYSARTHRIA. 

-A PILOT AND FEASIBILITY STUDY OF VIRTUAL REALITY AS GAMIFIED MONITORING TOOL FOR NEUROREHABILITATION

-ACOUSTIC ANALYSIS OF PHONATION IN CHILDREN WITH SMITH–MAGENIS SYNDROME

-ACOUSTIC TO KINEMATIC PROJECTION IN PARKINSON'S DISEASE DYSARTHRIA 

-ACQUISITION OF RELEVANT HAND-WRIST FEATURES USING LEAP MOTION CONTROLLER: A CASE OF STUDY

-ADAPTATION OF THE COLLEGE OF COMPUTER SCIENTISTS' STANDARD FOR TECHNICAL FINAL DEGREE PROJECTS 

-ADAPTING ARTIFICIAL INTELLIGENCE TO EDUCATIONAL ENVIRONMENTS

-AN ICA-BASED METHOD FOR STRESS CLASSIFICATION FROM VOICE SAMPLES

-ANALYSIS OF EMOTIONAL STRESS IN VOICE FOR DECEPTION DETECTION

-ARTICULATION ACOUSTIC KINEMATICS IN ALS SPEECH

-ARTICULATION CHARACTERIZATION IN AD SPEECH PRODUCTION

-ARTICULATION DYNAMICS IN PARKINSON DYSARTHRIA

-ARTIFICIAL INTELLIGENCE SERVING NATIONAL SECURITY: THE SPANISH CASE

-ARTIFICIAL INTELLIGENCE WITHIN THE INTERPLAY BETWEEN NATURAL AND ARTIFICIAL COMPUTATION: ADVANCES IN DATA SCIENCE, TRENDS AND APPLICATIONS

-ASSESSING AN APPLICATION OF SPONTANEOUS STRESSED SPEECH - EMOTIONS PORTAL

-AUTOMATIC COMPETITIONS IN THE UNIBOTICS OPEN ONLINE ROBOT PROGRAMMING WEB

-BORDER CONTROL MORPHING ATTACK DETECTION WITH A CONVOLUTIONAL NEURAL NETWORK DE-MORPHING APPROACH

-BUILDING ROBUST MORPHING ATTACKS FOR FACE RECOGNITION SYSTEMS

-CHARACTERIZATION OF PARKINSON'S DISEASE DYSARTHRIA IN TERMS OF SPEECH ARTICULATION KINEMATICS 

-CHARACTERIZATION OF HYPOKINETIC DYSARTHRIA BY A CNN BASED ON AUDITORY RECEPTIVE FIELDS

-COMPARING PARKINSON'S DISEASE DYSARTHRIA AND AGING SPEECH USING ARTICULATION KINEMATICS 

-COMPARISON OF AN ACCELERATED GARBLE EMBEDDING METHODOLOGY FOR PRIVACY PRESERVING IN BIOMEDICAL DATA ANALYTICS

-COMPUTATIONAL APPROACHES TO EXPLAINABLE ARTIFICIAL INTELLIGENCE: ADVANCES IN THEORY, APPLICATIONS AND TRENDS

-COMPUTATIONAL THINKING MEASUREMENT OF CS UNIVERSITY STUDENTS

-COMPUTERIZED DECISION SUPPORT SYSTEM AND NAIVE BAYES MODELS FOR PREDICTING THE RISK OF RELAPSE IN BREAST CANCER

-CONVOLUTIONAL NEURAL NETWORK APPROACH FOR MULTISPECTRAL FACIAL PRESENTATION ATTACK DETECTION IN AUTOMATED BORDER CONTROL SYSTEMS

-CREATING REALISTIC PRESENTATION ATTACKS FOR FACIAL IMPERSONATION STEP-BY-STEP

-DEEP LEARNING-BASED GENDER CLASSIFICATION BY TRAINING WITH FAKE DATA

-DEEP NEURAL TOWER: A GAME TO TEACH AI CONCEPTS

-DISTINGUISHING AGING CLUSTERS AND MOBILE DEVICES BY HAND-WRIST ARTICULATION: A CASE OF STUDY

-EFFECT OF GLASS FIBER ON THE PERMANENT DEFORMATION OF NUMERICALLY MODELLED WEARING COURSES IN ANSYS

-EFFECTS OF NEUROACOUSTIC STIMULATION ON TWO STUDY CASES OF PARKINSON’S DISEASE DYSARTHRIA

-EMOTIONAL STRESS DETECTION IN CONTRADICTORY VERSUS SELF-CONSISTENT SPEECH BY MEANS OF VOICE BIOMETRICAL SIGNATURE

-EVALUATING INSTABILITY ON PHONATION IN PARKINSON’S DISEASE AND AGING SPEECH

-EVALUATING THE PERFORMANCE OF DIADOCHOKINETIC TESTS IN CHARACTERIZING PARKINSON’S DISEASE HYPOKINETIC DYSARTHRIA

-EVALUATION OF THE VISIBILITY DISTANCE WITH THE ISTRAM PROGRAM ON THIRD-CLASS ROADS WITH A HIGH ACCIDENT RATE

-EVALUATION OF THE PRESENCE OF SUBHARMONICS IN THE PHONATION OF CHILDREN WITH SMITH MAGENIS SYNDROME

-FACIAL MASK-WEARING PREDICTION AND ADAPTIVE GENDER CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS

-FEATURE REPRESENTATION IN PRETRAINED DEEP METRIC EMBEDDINGS

-FLIPPED CLASSROOM AND ARONSON´S PUZZLE: A COMBINED EVALUATION IN THE MASTER´S DEGREE IN PREUNIVERSITARY TEACHING

-GRAD-CAM APPLIED TO THE DETECTION OF INSTRUMENTS USED IN FACIAL PRESENTATION ATTACKS

-IDENTIFICATION OF SMITH–MAGENIS SYNDROME CASES THROUGH AN EXPERIMENTAL EVALUATION OF MACHINE LEARNING METHODS

-IDENTIFICATION OF PARKINSON’S DISEASE FROM SPEECH USING CNNS AND FORMANT MEASURES

-MEASURING MOTION SICKNESS THROUGH RACING SIMULATOR BASED ON VIRTUAL REALITY

-MONITORING ALS FROM SPEECH ARTICULATION KINEMATICS

-MONITORING PARKINSON DISEASE FROM SPEECH ARTICULATION KINEMATICS

-MONITORING PARKINSON’S DISEASE REHABILITATION FROM PHONATION BIOMECHANICS

-MONPARLOC: A SPEECH-BASED SYSTEM FOR PARKINSON’S DISEASE ANALYSIS AND MONITORING

-NEUROACOUSTICAL STIMULATION OF PARKINSON’S DISEASE PATIENTS: A CASE STUDY

-NEUROMECHANICAL MODELLING OF ARTICULATORY MOVEMENTS FROM SURFACE ELECTROMYOGRAPHY AND SPEECH FORMANTS

-PARKINSON DISEASE DETECTION FROM SPEECH ARTICULATION NEUROMECHANICS

-PARKINSON'S DISEASE MONITORING BY BIOMECHANICAL INSTABILITY OF PHONATION 

-PARKINSON’S DISEASE GLOTTAL FLOW CHARACTERIZATION: PHONATION FEATURES VS AMPLITUDE DISTRIBUTIONS

-PATTERN MATCHING OF VOICE QUALITY FEATURES FROM VOCAL-FOLD PARALYSIS PATIENTS TREATED WITH STEM-CELL GRAFTING

-PERFORMANCE OF ARTICULATION KINETIC DISTRIBUTIONS VS MFCCS IN PARKINSON’S DETECTION FROM VOWEL UTTERANCES

-PERFORMANCE OF MONOSYLLABIC VS MULTISYLLABIC DIADOCHOKINETIC EXERCISES IN EVALUATING PARKINSON’S DISEASE HYPOKINETIC DYSARTHRIA FROM FLUENCY DISTRIBUTIONS

-PRIVACIDAD POR DISEÑO, CLAVE PARA LA BUENA GOBERNANZA

-REAL-WORLD HUMAN GENDER CLASSIFICATION FROM ORAL REGION USING CONVOLUTIONAL NEURAL NETWORK

-RELATING FACIAL MYOELECTRIC ACTIVITY TO SPEECH FORMANTS

-SPECIFICITIES OF PHONATION BIOMECHANICS IN DOWN SYNDROME CHILDREN

-SPEECH PARAMETER SELECTION FOR EMOTIONAL STRESS CHARACTERIZATION IN WOMEN

-SPONTANEOUS EMOTIONAL SPEECH RECORDINGS THROUGH A COOPERATIVE ONLINE VIDEO GAME

-STUDENTS' EMOTIONS USING AN ALGORITHM EXPERIMENTATION TOOL IN THE NEW NORMAL 

-TEMPORAL REVERSION OF PHONATION INSTABILITY IN PARKINSON’S DISEASE BY NEUROACOUSTICAL STIMULATION

-THE ROLE OF DATA ANALYTICS IN THE ASSESSMENT OF PATHOLOGICAL SPEECH—A CRITICAL APPRAISAL

-TOWARDS THE SEARCH OF DETECTION IN SPEECH-RELEVANT FEATURES FOR STRESS

-UNFOLDING LARYNGEAL NEUROMOTOR ACTIVITY IN PARKINSON’S DISEASE BY PHONATION INVERSION

-UNIVERSAL STRUCTURE FOR GUIDED COMPLETION OF ICT ENGINEERING FINAL DEGREE PROJECTS

-UNSUPERVISED ADAPTIVE MULTI-OBJECT TRACKING-BY-CLUSTERING ALGORITHM WITH A BIO-INSPIRED SYSTEM

-VEHICULAR CONFLICT ASSESSMENT ON A ROAD WITH LANE REDUCTION USING THE SSAM METHODOLOGY

-VOCAL FOLD STIFFNESS ESTIMATES FOR EMOTION DESCRIPTION IN SPEECH

-VOWEL ARTICULATION DISTORTION IN PARKINSON’S DISEASE

-VOWEL ARTICULATION DYNAMIC STABILITY RELATED TO PARKINSON'S DISEASE RATING FEATURES: MALE DATASET 

-ZERO-SHOT LEARNING FOR SUBDISCRIMINATION IN PRE-TRAINED MODELS