{"id":814,"date":"2021-01-28T14:21:50","date_gmt":"2021-01-28T14:21:50","guid":{"rendered":"https:\/\/eia.udg.edu\/~blopez\/?page_id=814"},"modified":"2026-07-29T13:37:11","modified_gmt":"2026-07-29T13:37:11","slug":"publications-2021-2030","status":"publish","type":"page","link":"https:\/\/eia.udg.edu\/~blopez\/investigacion-3\/publications-2021-2030\/","title":{"rendered":"Publications 2021-2030"},"content":{"rendered":"

PUBLICATIONS 2026<\/h3>\n
\n
AI for healthcare<\/b>
\n<\/header>\n
\n\n\n\n\n\n
Guillem Hern\u00e1ndez, Joan Samper, Beatriz L\u00f3pez. A Structured Residual Refinement Transformer Framework for Long-Horizon Healthcare Demand Forecasting with Causal and Seasonal Signals. 24th International Conference on Artificial Intelligence in Medicine (AIME)<\/a>, Ottawa, Canada, July 7-10, 2026.Accepted April 2026<\/em>.<\/td>\n<\/tr>\n

<\/p>\n

\u00d2scar Raya i Casanova, Xavier Castells, David Ram\u00edrez, Beatriz L\u00f3pez. Drug grouping learning for improving evidence-based treatment recommendations<\/a>. Computers in Biology and Medicine. Volume 201, 15 January 2026, 111390. Accepted December 2025<\/em>.<\/td>\n<\/tr>\n

<\/p>\n

Ariadna G\u00f3mez-Vilarrubla, Jordi Soriano, Aaron Pe\u00f1as, Maria Niub\u00f3-Pall\u00e0s, Jose-Mar\u00eda Martinez-Calcerrada, Alexandra Bonmat\u00ed-Santan\u00e9, Beatriz L\u00f3pez, Lourdes Iba\u00f1ez, Abel Lopez-Bermejo, Judit Bassols. Predicci\u00f3n del riesgo de sobrepeso\/obesidad infantile mediante Inteligencia artificial explicable basada en datos parentales y perinatales. 48\u00ba Congreso de la Fundaci\u00f3n Sociedad Espa\u00f1ola de Endocrinolog\u00eda Pedi\u00e1trica (FSEEP)<\/a>, Barcelona, 27 -29 May, 2026. Poster P058.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n
\n
AI for social good<\/b><\/header>\n
\n\n\n\n\n\n
Sergi Payarol Calzado, Judit Font Redolad, \u00d3scar Mart\u00ednez Grados, Isaac de Palau i Vi\u00f1olas, Albert Sabater Coll, and Beatriz L\u00f3pez. Identification of Vulnerability Trajectories Using Function-Based Cluster Evolution Analysis on Social Service Data. SoGood 2026<\/a>: The 11th Workshop on Data Science for Social Good, Affiliated with <\/span>ECML-PKDD 2026<\/span><\/a>, September <\/span>7-11<\/span>, 202<\/span>6, Naples, Italy. Accepted, poster.\u00a0<\/span><\/td>\n<\/tr>\n
Albert Sabater, Beatriz L\u00f3pez, Sergi Payarol, Isaac de Palau: Modelling Together for AI-based Social Services. In: Petra Ahrweiler, Nigel Gilbert (eds) Participatory Modelling and Simulation to Improve AI-based Public Social Services: Scientific Advice for Policy and Practice<\/a>. Springer, Cham. 2026. March<\/td>\n<\/tr>\n
Albert Sabater, Beatriz L\u00f3pez, Roger Campdepadr\u00f3s: Policy Learnings and Policy Change for AI-based Social Services. In: Petra Ahrweiler, Nigel Gilbert (eds) Participatory Modelling and Simulation to Improve AI-based Public Social Services: Scientific Advice for Policy and Practice<\/a>. Springer, Cham. 2026. March<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n
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AI (other)<\/b><\/header>\n
\n\n\n\n
N\u00faria Agell, Vicent Costa, Zoe Falomir, Karina Gibert, Beatriz L\u00f3pez, Lled\u00f3 Museros, Enric Plaza, and Aida Valls. History of AI in Europe: The Catalan Association for AI (ACIA)<\/a>. European Journal on Artificial Intelligence. Accepted January 2026<\/em>.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n

PUBLICATIONS 2025<\/h3>\n
\n
AI for brain health<\/b><\/header>\n
\n\n\n\n\n\n
Jonah Fernandez, Bianca Innocenti, Beatriz L\u00f3pez: EEG classification for neurological disorders using frequency band deciles<\/a>. Sci Rep, December 2025.<\/td>\n<\/tr>\n
Jonah Fernandez, Bianca Innocenti, Beatriz L\u00f3pez: Tangent Space Mapping and CBR Synergy for EEG Classification in Neurological Disorders<\/a>. 38th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Madrid, Spain.<\/td>\n<\/tr>\n
Jonah Fernandez, Raquel Mart\u00ednez, Bianca Innocenti, Beatriz L\u00f3pez. Contribution of EEG signals for students\u2019 stress detection.<\/a> IEEE Transactions on Affective Computing, 16(2), April-June 2025, pp. 1235-1246. Accepted November 2024<\/em>.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n
\n
AI for mental health<\/b><\/header>\n
\n\n\n\n\n\n\n\n\n\n
Evgenia Baykova, \u00d2scar Raya, Cristina Lombard\u00eda, Bego\u00f1a Gonzalvo, In\u00e9s Andreu, David Losada, Tania Falkenhain, Ruth Cunill, Dom\u00e8nec Serrano, David Rigau, David Ram\u00edrez, Beatriz Lopez and Xavier Castells: Assessing TDApp: an An AI-Based Clinical Decision Support System for ADHD Treatment Recommendations<\/a>. Frontiers in Psychiatry. Volume 16 – 2025.<\/td>\n<\/tr>\n
David Ram\u00edrez, Evgenia Baykova, Cristina Lombard\u00eda, In\u00e9s Andreu, Dom\u00e8nec Serrano, Jordi Risco, Ruth Cunill, \u00d2scar Raya, Beatriz L\u00f3pez, Xavier Castells: Personalising pharmacological recommendations in complex attention deficit hyperactivity disorder: Could Artificial Intelligence set a new standard? 38th European College of Neuropsychopharmacology Congress, ENCP<\/a>, 11-14 October 2025, Amsterdam, The Netherlands.<\/td>\n<\/tr>\n
Castells X, Ram\u00edrez-Saco D, Raya \u00d2, Baykova E, Lombard\u00eda C, Cunill R, L\u00f3pez B.: Evaluaci\u00f3n de Evimatic, una IA generativa para responder preguntas cl\u00ednicas sobre el tratamiento de pacientes con TDAH. 68\u00ba Congreso de Asociaci\u00f3n Espa\u00f1ola de Psiquiatr\u00eda de la Infancia y la Adolescencia(AEPNYA)<\/a>, Barcelona, May 22- 24, 2025. Poster<\/td>\n<\/tr>\n
David Ram\u00edrez, Evgenia Baykova, Cristina Lombard\u00eda, In\u00e9s Andreu, David Losada, Tania Falkenhain, Jordi Risco, Ruth Cunill, \u00d2scar Raya, Beatriz L\u00f3pez, Xavier Castells: Treatment recommendation diversity and satisfaction in ADHD: Is TDApp an AI-based alternative to clinical practice guidelines? 10th World Congress on ADHD<\/a>, 8 – 11 May 2025, Prague, Czech Republic. Poster P-20-008. #ID 434.<\/td>\n<\/tr>\n
Xavier Castells, Evgenia Baykova, \u00d2scar Raya, David Ram\u00edrez, Cristina Lombard\u00eda, Ruth Cunill, David Losada, Tania Falkenhain, Dom\u00e8nec Serrano, Beatriz L\u00f3pez: Concordance of treatment recommendations for ADHD patients between TDApp and clinical practice guidelines: A hierarchical clustering analysis with dendrograms. 10th World Congress on ADHD<\/a>, 8 – 11 May 2025, Prague, Czech Republic. Poster P-19-007. #ID 403.<\/td>\n<\/tr>\n
David Ram\u00edrez-Saco, Cristina Lombard\u00eda, David Losada Brunet, In\u00e9s Andreu, Ana\u00efs Montserrat, Evgenia Baykova, Dom\u00e8nec Serrano, \u00d2scar Raya, Beatriz L\u00f3pez, Xavier Castells: Large language models personalizing attention deficit hyperactivity disorder treatment: which will win the global race?. 27th Congress of the European Association for Clinical Pharmacology and Therapeutics EACPT2025<\/a>, June 28th- July 1st, 2025, Helsinki, Finland. Poster.<\/td>\n<\/tr>\n
Mireia Porta, Maggie Barcheni, David Ram\u00edrez-Saco, Ruth Cunill, Mag\u00ed Farr\u00e9, Marc Saez, Beatriz L\u00f3pez, Xavier Castells. Metaforest Algorithm Insights: Predictors of Nocebo Response in ADHD<\/a>. Current Psychopharmacology, Volume 13, 2025.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n
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AI for Medicine and Healthcare<\/b><\/header>\n
\n\n\n\n\n\n\n\n\n
Guillem Hern\u00e1ndez-Guillamet, Francesc L\u00f3pez Segu\u00ed, Josep Vidal Alaball, Beatriz L\u00f3pez: CTBN-PH: A Continuous-Time Bayesian Network for Individualised Diagnostic Risk Prediction<\/a>. Computers in Biology and Medicine. Volume 197, Part B, October 2025, 111069.<\/td>\n<\/tr>\n
Guillem Hern\u00e1ndez-Guillamet, Francesc L\u00f3pez Segu\u00ed, Josep Vidal Alaball, Beatriz L\u00f3pez: CCLR-DL: A novel statistics and deep learning hybrid method for feature selection and forecasting healthcare demand<\/a>. Computer Methods and Programs in Biomedicine. Volume 272, December 2025, 109057.<\/td>\n<\/tr>\n
Pau Garre, Beatriz L\u00f3pez, N\u00faria Masnou, Guillem Guigo: Enhancing Organ Transplant Outcomes: AI-Driven Prediction of Organ Viability Using Clinical Data. 23rd Artificial Intelligence in Medicine<\/a>, Pavia, Italy. Accepted<\/td>\n<\/tr>\n
Beatriz L\u00f3pez, Szofia Prager, Abel L\u00f3pez-Bermejo, Judit Bassols: Analyzing the contribution of sequential patterns in CBR for childhood obesity prediction. 33rd International Conference on Case-Based Reasoning<\/a>, Biarritz, France. Accepted.<\/td>\n<\/tr>\n
G\u00f3mez-Vilarrubla, A., Niub\u00f3-Pall\u00e0s, M., Mas-Par\u00e9s, B., Bonmat\u00ed-Santan\u00e9, A., Mart\u00ednez-Calcerrada, J.-M., L\u00f3pez, B., Pe\u00f1as-Cruz, A., de Zegher, F., Ib\u00e1\u00f1ez, L., L\u00f3pez-Bermejo, A., & Bassols, J.: Longitudinal Analysis of Placental IRS1 DNA Methylation and Childhood Obesity<\/a>. International Journal of Molecular Sciences, 26(7), 3141.<\/td>\n<\/tr>\n
Oriol Canal Pujol, Bernat del Olmo Cabestr\u00e9, Beatriz L\u00f3pez: Targeted-CNV-Learner: A Machine Learning Framework for CNV Detection in Targeted Sequencing. [BC]2. Basel Computational Biology Conference<\/a>. Semptember 8-10, 2025, Basel, Switzerland. Poster, Session 1, D3.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n
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AI for social good<\/b><\/header>\n
\n\n\n\n\n
Albert Sabater, Roger Campdepadr\u00f3s, Beatriz L\u00f3pez, Cristina S\u00e1nchez: Participatory Action Research for AI in Social Services: An Example of Local Practices from Catalonia<\/a>. In: Ahrweiler, P. (eds) Participatory Artificial Intelligence in Public Social Services. From Bias to Fairness in Assessing Beneficiaries<\/a>. Artificial Intelligence, Simulation and Society. Springer, Cham. 2025. pp 79\u201396<\/td>\n<\/tr>\n
Albert Sabater, Sergi Pallarols, Beatriz L\u00f3pez: From Data to Equity: Addressing Bias and Building Trust in AI-Driven Social Services for Vulnerable Populations. Society for Social Studies of Science (4S)<\/a>, September 3-5, 2025, Seattle, US.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n
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Case-based reasoning<\/b><\/header>\n
\n\n\n\n
Isabelle Bichindaritz, Beatriz L\u00f3pez (Eds): Case-Based Reasoning Research and Development.
\n33rd International Conference, ICCBR 2025, Biarritz, France, June 30\u2013July 3, 2025, Proceedings<\/a>. Lecture Notes in Computer Science, LNAI 15662, 486 pages.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n

PUBLICATIONS 2024<\/h3>\n
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AI for mental health<\/b><\/header>\n
\n\n\n\n\n\n\n\n\n
I. Darnaude Xim\u00e9nez, E. Baykova, D. Ram\u00edrez Saco, C. Lombard\u00eda, D. Serrano, R. Cunill, \u00d2. Raya, B. L\u00f3pez and X. Castells. Can artificial intelligence tailor the treatment of complex patients? The use of TDApp for drug recommendations in ADHD complex patients compared to the Spanish ADHD guideline. XXXII Congreso de la Sociedad Espa\u00f1ola de Farmacolog\u00eda Cl\u00ednica (SEFC)<\/a>, Santiago de Compostela, Spain, October 16-18, 2024. Poster. Published by: Basic & Clinical Pharmacology & Toxicology, Volume 134, Issue S1, Poster<\/a>, pag 54 (#56)<\/td>\n<\/tr>\n
Barcheni M., Porta M., Ram\u00edrez Saco D., Cunill R., Farr\u00e9 M., Saez M., L\u00f3pez B., Castells X. Identifying nocebo response predictors in ADHD: Insights from Metaforest algorithm analysis. XXXII Congreso de la Sociedad Espa\u00f1ola de Farmacolog\u00eda Cl\u00ednica (SEFC)<\/a>, Santiago de Compostela, Spain, October 16-18, 2024. Poster. Published by: Basic & Clinical Pharmacology & Toxicology, Volume 134, Issue S1, Poster<\/a>, pag. 50 (#6)<\/td>\n<\/tr>\n
David Ram\u00edrez, Evgenia Baykova, Cristina Lombard\u00eda, Dom\u00e8nec Serrano, Ruth Cunill, \u00d3scar Raya, Beatriz L\u00f3pez, Xavier Castells: Dissecting ChatGPT 4o: Is it really able to justify therapeutic recommendations for attention deficit hyperactivity disorder?. XXXII Congreso de la Sociedad Espa\u00f1ola de Farmacolog\u00eda Cl\u00ednica (SEFC)<\/a>, Santiago de Compostela, Spain, October 16-18, 2024. Oral. Published by: Basic & Clinical Pharmacology & Toxicology, Volume 134, Issue S1, Oral Communications<\/a>, pag. 23 (#101)<\/td>\n<\/tr>\n
David Ram\u00edrez, Cristina Lombard\u00eda, Evgenia Baykova, David Losada, Tania Falkenhain, Jordi Risco, Ruth Cunill, Dom\u00e8nec Serrano, \u00d3scar Raya, Beatriz L\u00f3pez, Xavier Castells: APPRAISE-RS\/TDApp: an alternative to clinical practice guidelines in formulating pharmacological recommendations in attention deficit hyperactivity disorder?. 37th ENCP (the European College of Neuropsychopharmacology) Congress <\/a>, Milan, Italy, September 21-24th, 2024. Poster P3411.<\/td>\n<\/tr>\n
Oscar Raya, Beatriz L\u00f3pez, Evgenia Baykova, Marc Saez, David Rigau, Ruth Cunill, Sacramento Mayoral, Carme Carrion, Dom\u00e8nec Serrano, Xavier Castells: A summary on APPRAISE-RS: Treatment recommender systems based on GRADE. Conference of the Spanish Association of AI (Conferencia de la Asociaci\u00f3n Espa\u00f1ola para la Inteligencia Artificial, CAEPIA’24)<\/a>, A Coru\u00f1a, Spain, June 19-21th, 2024.<\/td>\n<\/tr>\n
David Ram\u00edrez-Saco, Camila Rodr\u00edguez, Cristina Lombard\u00eda, David Losada Brunet, In\u00e9s Andreu, Ana\u00efs Montserrat, Evgenia Baykova, Dom\u00e8nec Serrano, \u00d2scar Raya, Beatriz L\u00f3pez, Xavier Castells: Therapeutic recommendations for attention deficit hyperactivity disorders: is there any alternative to clinical practice guidelines? 16th congress of the European Association for Clinical Pharmacology and Therapeutics (EACPT 2024)<\/a>, Rotterdam, NL, June 8-11th, 2024.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
AI for Medicine and Health<\/b><\/header>\n
\n\n\n\n\n\n\n
Jonah Fern\u00e1ndez, Guillem Hern\u00e1ndez-Guillament, Cristina Montserrat, Bianca Innocenti, Beatriz L\u00f3pez: Examining the potential of sequence patterns from EEG data as alternative case representation for seizure detection. International Conference on Case-Based Reasoning (ICCBR)<\/a>, M\u00e9rida, M\u00e9xico, July 1-4th, 2024. Accepted.<\/td>\n<\/tr>\n
Beatriz L\u00f3pez, David Galera, Abel L\u00f3pez-Bermejo, Judit Bassols: Frequent patterns of childhood overweight from longitudinal data on parental and early-life of infants health. 22nd International Conference on AI in Medicine (AIME 24)<\/a>, Sant Lake City, Utah, US, July 7-12th, 2024.Accepted.<\/td>\n<\/tr>\n
Bianca Innocenti, Elmo Chavez, Jonah Fernandez, Beatriz L\u00f3pez: Importance of EEG frontal channels for classification of Alzheimer\u2019s and Dementia to facilitate screening with BCI devices. I Workshop de la Sociedad Espa\u00f1ola de Inteligencia Artificial en Biomedicina (IABiomed) <\/a> held in conjunction with the Conference of the Spanish Association of AI (Conferencia de la Asociaci\u00f3n Espa\u00f1ola para la Inteligencia Artificial, CAEPIA’24), A Coru\u00f1a, Spain, June 19-21th, 2024.<\/td>\n<\/tr>\n
Cristina Montserrat, Jonah Fernandez, Bianca Innocenti, Beatriz L\u00f3pez: Detection of epileptic seizures with EEG sequential patterns. 26th International Conference of the Catalan Association for AI (CCIA’24)<\/a>, Barcelona, Spain, October 2-4th, 2024. Short paper. Accepted.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
AI for social good<\/b><\/header>\n
\n\n\n\n
Albert Sabater, Roger Campdepadr\u00f3s, Beatriz L\u00f3pez, Cristina S\u00e1nchez: Supporting the Development of AI through Participatory Action Research: A Case Study on Social Services in Catalonia. 16th Conference of the European Sociology Association (ESA)<\/a>,Porto, Portugal, August 27-30, 2024. Accepted.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
Other collaborations<\/b><\/header>\n
\n\n\n\n
Manish Prasad, Cristina Barris, Mehdi Aghabagloo, Beatriz L\u00f3pez, Ricardo Perera, Marta Baena Mu\u00f1oz. Machine learning for analysing concrete cover separation in externally bonded FRP RC beams.<\/a> 7th Int. Conf. On Smart Monitoring, Assessment and Rehabilitationj of civil structures (SMAR), Salerno, Italy, 4-6 September 2024. Publication: Procedia Structural Integrity, 64, 1524\u20131531.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n

PUBLICATIONS 2023<\/h3>\n
\n
AI for mental health<\/b><\/header>\n
\n\n\n\n\n\n\n\n\n
David Ram\u00edrez, \u00d2scar Raya, Evgenia Baykova, David Rigau, Ruth Cunill, Dom\u00e8nec Serrano, Beatriz L\u00f3pez, Xavier Castells: TDApp: Preferencias y evidencias para seleccionar el mejor tratamiento en TDAH. Jornades Cient\u00edfiques del Vall Hebron Institut de Recerca (VHIR)<\/a>, Barcelona, Spain, November 24th, 2023. Poster<\/td>\n<\/tr>\n
David Ram\u00edrez, Cristina Lombard\u00eda, Cristian Toribio, In\u00e9s Andreu, Ana\u00efs Montserrat, Evgenia Baykova, Dom\u00e8nec Serrano, \u00d3scar Raya, Beatriz L\u00f3pez, Xavier Castells: Could ChatGPT compete with clinical practice guidelines in formulating useful treatment recommendations for attention deficit hyperactivity disorder? 36th European College of Neuropsychopharmacology (ENCP) Congress<\/a>, Barcelona, Spain, October 7-10th, 2023.<\/td>\n<\/tr>\n
David Ram\u00edrez, Oscar Raya, Evgenia Baykova, Ines Andreu, Bego\u00f1a Gonzalvo, David Rigau, Ruth Cunill, Sandra Gelabert, Dom\u00e8nec Serrano, Beatriz L\u00f3pez, Xavier Castells: Experi\u00e8ncia del pacient en la presa de decisions terap\u00e8utiques compartides en el trastorn per de deficit d\u2019atenci\u00f3 i hiperactivitat (TDAH). 8th XPatient Barcelona Congress<\/a>, Barcelona, September 21st, 2023.<\/td>\n<\/tr>\n
Oscar Raya, Xavier Castells, David Ram\u00edrez, Beatriz L\u00f3pez: Patients and clinicians preferences together in the loop for ADHD treatment recommendations. Modelling decisions for AI (MDAI)<\/a>, Umea, Sweden, June 19-22, 2023.<\/td>\n<\/tr>\n
Oscar Raya, Xavier Castells, David Ram\u00edrez, Beatriz L\u00f3pez: Management of patient and physician preferences and explanations for participatory evaluation of treatment with an ethical seal<\/a>. AI in Medicine (AIME), Portoroz, Slovenia, June 12-15, 2023.<\/td>\n<\/tr>\n
Beatriz L\u00f3pez, Oscar Raya, Evgenia Baykova, Marc Saez, David Rigau, Ruth Cunill, Sacramento Mayoral, Carme Carrion, Dom\u00e8nec Serrano, Xavier Castells: APPRAISE-RS: Automated, updated, participatory, and personalized treatment recommender systems based on GRADE methodology<\/a>, Heliyon, Volume 9, Issue 2, February 2023, e13074.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
AI for Medicine and Helthcare<\/b><\/header>\n
\n

Guillem Hern\u00e1ndez-Guillamet, Beatriz L\u00f3pez, Oriol Estrada, Francesc L\u00f3pez-Segu\u00ed. Hypertension Demand Forecasting Using Cross-Correlation and Lagged Multiple Linear Regression Models for Anticipating Health Resources Needs<\/a>. 25th International Conference of the Catalan Association for Artificial Intelligence (CCIA),M\u00f3n Sant Benet, Catalonia, October 25-27, 2023. Published by IOS Press. 10 pages.<\/p>\n\n\n\n\n
Alihu\u00e9n Garc\u00eda-Pavioni, Beatriz L\u00f3pez: Dimensionality reduction and features visual representation based on conditional probabilities applied to activity classification.<\/a> Computers in Biology and Medicine, Volume 167, December 2023, 107595.<\/td>\n<\/tr>\n
Guillem Hern\u00e1ndez-Guillamet, Francesc L\u00f3pez-Segu\u00ed, Josep Vidal-Alaball, Beatriz L\u00f3pez: CauRuler: Causal Irredundant Association Rule Miner for Complex Patient Trajectory Modelling<\/a>. Computers in Biology and Medicine Accepted February 2023<\/em><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
AI for social good<\/b><\/header>\n
\n\n\n\n
Beatriz L\u00f3pez, Roger Capdepedr\u00f3s, Albert Sabater. Sequence pattern mining for citizens behaviour learning in fair-purpose social games. Some preliminary results<\/a>. 25th International Conference of the Catalan Association for Artificial Intelligence (CCIA),M\u00f3n Sant Benet, Catalonia, October 25-27, 2023. Published by IOS Press. 10 pages.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
Other<\/b><\/header>\n
\n\n\n\n
Beatriz L\u00f3pez. Robots and intelligent systems are revolutionising medicine<\/a>. Barcelona Metropolis, num. 127, July 2023.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n

PUBLICATIONS 2022<\/h3>\n
\n
Longitudinal data (time series) machine learning<\/b><\/header>\n
\n\n\n\n\n\n
Natalia Mordvanyuk, Albert Bifet, Beatriz L\u00f3pez: VEPRECO: Vertical Databases with Pre-pruning Strategies and Common Candidate Selection Policies to Fasten Sequential Pattern Mining<\/a>, Expert Systems with Applications.<\/a> Accepted May2022<\/em><\/td>\n<\/tr>\n
Natalia Mordvanyuk, Beatriz L\u00f3pez, Albert Bifet: TA4L: Efficient Temporal Abstraction of Multivariate Time Series<\/a>, Knowledge-Based Systems.<\/a> Volume 244, 23 May 2022, 108554<\/td>\n<\/tr>\n
Alihu\u00e9n Garcia, Beatriz L\u00f3pez: A New Method of Dimensionality Reduction for Large Time Series Applied to Accelerometer Wristbands’ Signals, Biosignals 2022.<\/a> Accepted November 2021<\/em><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n
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AI for Medicine and Helthcare<\/b><\/header>\n
\n\n\n\n\n\n\n
Beatriz L\u00f3pez, Ferran Torrent-Fontbona, Luis Masana, Alberto Zamora: HTE 3.0: Knowledge-based systems in cascade for familial hypercholesterolemia detection and dyslipidemia treatment<\/a>, Expert Systems<\/a>. Volume 39, Issue 1, January 2022. Accepted August 2021<\/em><\/td>\n<\/tr>\n
Xavier Castells, Marc Saez, Maghie Barcheni, Ruth Cunill, Dom\u00e8nec Serrano, Beatriz L\u00f3pez, Caspar van Lissa: Placebo response and its predictors in attention deficit hyperactivity disorder: a meta-analysis and comparison of meta-regression and metaforest<\/a>, The International Journal of Neuropsychopharmacology, 2022 Jan 12;25(1):26-35. Accepted August 2021<\/em><\/td>\n<\/tr>\n
Castells X, Baykova E, Raya O, Serrano D, Mayoral S, Cunill R, Saez M, Carrion C, Rigau D, L\u00f3pez B.: Comparison of treatment recommendations formulated by APPRAISE-RS\/TDApp, a prototype of automated, personalized, participatory recommender system, and clinical practice guidelines in a sample of simulated ADHD patients, XL Congreso de la sociedad espanyola de farmacologia cl\u00ednica<\/a>, 2022. Poster. Published in Basic Clin Pharma Tox – 2022<\/a><\/em><\/td>\n<\/tr>\n
Villar, J., Yera, A., L\u00f3pez B.: Computational-based biomarkers for mental and emotional health<\/a>, Neural Comput & Applic, 2022. Editorial<\/em><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n

PUBLICATIONS 2021<\/h3>\n
\n
Longitudinal data (time series) machine learning<\/b><\/header>\n
\n\n\n\n
Natalia Mordvanyuk, Beatriz L\u00f3pez, Albert Bifet: vertTIRP: Robust and Efficient Vertical Frequent Time Interval-related Pattern Mining<\/a>, Expert Systems with Applications<\/a>, Volume 168, 15 April 2021, 114-276. Accepted November 2020<\/em><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n
\n
AI for Medicine and Helthcare<\/b><\/header>\n
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Beatriz L\u00f3pez, Pau Olives, Luis Masana, Fernando Civeira, Alberto Zamora: Predicting the risk of coronary heart disease under Familial Hypercholesterolemia by machine learning, 44th World Hospital Congress<\/a> of the International Hospital Federation (IHF)<\/a>, Barcelona, November 8-11, 2021. Accepted. Poster<\/em><\/td>\n<\/tr>\n
Parizad Avari, Yenny Leal, Pau Herrero, Marzena Wos, Narvada Jugnee, Mar\u00eda Arnoriaga-Rodr\u00edguez, Maria Thomas, Chengyuan Liu, Quim Massana, Beatriz Lopez, Lucian Nita, Clare Martin, Jos\u00e9 Manuel Fern\u00e1ndez-Real, Nick Oliver, Merc\u00e8 Fern\u00e1ndez-Balsells, Monika Reddy: Safety and feasibility of the PEPPER adaptive bolus advisor and safety system; a randomized control study<\/a>, Diabetes Technology and Therapeutics, 23(3), 175\u2013186, 2021. Accepted September 2020<\/em><\/a><\/td>\n<\/tr>\n
Joaquim Massana, \u00d2scar Raya, Jaume Gauchola, Beatriz L\u00f3pez: Signaleeg. A practical tool for EEG signal data mining<\/a>, Neuroinformatics<\/a>, Neuroinformatics volume 19, pages 567\u2013583 (2021). Accepted December 2020<\/em><\/td>\n<\/tr>\n
Joaquim Massana, \u00d2scar Raya, Jaume Gauchola, Beatriz L\u00f3pez: Signaleeg. A practical tool for EEG signal data mining, II Workshop of Spanish A.I. Research Groups in Biomedicine (IABiomed)<\/a>, Malaga, September 22-24, 2021. Extended abstract<\/em><\/td>\n<\/tr>\n
Nat\u00e0lia Mordvanyuk, Jaume Gauchola, Beatriz L\u00f3pez: Understanding affective behaviour from physiological signals: Feature learning versus pattern mining, IEEE Computer-Based Medical Systems (CBMS)<\/a>, Special Track on Computational based Biomarkers for Mental and Emotional Health<\/a> (IEEE CBMS-CBMEH), June, 7-9, On-line. Best student paper.<\/strong><\/td>\n<\/tr>\n
Daniel Lambisto-Castro, Joan Passarrius, Nat\u00e0lia Mordvanyuk, Joaquim Massana, Beatriz L\u00f3pez: Machine Learning and statistical analysis: correlation between 2%\u20102mm gamma test and various metrics of analysis of the complexity of the treatment plan<\/a>, 7 Congreso Conjunto (23 SEFM – SEPR 18)<\/a>, May 31 – June 4, On-line. Poster (In Spanish).<\/em><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n
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AI for social good<\/b><\/header>\n
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Albert Sabater, Cristina S\u00e1nchez, Beatriz L\u00f3pez: Co-Creating Artificial Intelligence for Social Provision: An Example of Cross-Sector Collaborations through the AI FORA Project, 15th ESA Conference 2021<\/a>, 31 Aug \u2013 3 Sep, Barcelona.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n
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Other<\/b><\/header>\n
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Beatriz L\u00f3pez: Entrevista a Josep Pascual, Revista de tecnologia<\/a>, 9, 71-73, 2021.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"

PUBLICATIONS 2026 AI for healthcare Guillem Hern\u00e1ndez, Joan Samper, Beatriz L\u00f3pez. A Structured Residual Refinement Transformer Framework for Long-Horizon Healthcare Demand Forecasting with Causal and Seasonal Signals. 24th International Conference … Continue Reading →<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":198,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-814","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/eia.udg.edu\/~blopez\/wp-json\/wp\/v2\/pages\/814","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/eia.udg.edu\/~blopez\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/eia.udg.edu\/~blopez\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/eia.udg.edu\/~blopez\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/eia.udg.edu\/~blopez\/wp-json\/wp\/v2\/comments?post=814"}],"version-history":[{"count":99,"href":"https:\/\/eia.udg.edu\/~blopez\/wp-json\/wp\/v2\/pages\/814\/revisions"}],"predecessor-version":[{"id":1190,"href":"https:\/\/eia.udg.edu\/~blopez\/wp-json\/wp\/v2\/pages\/814\/revisions\/1190"}],"up":[{"embeddable":true,"href":"https:\/\/eia.udg.edu\/~blopez\/wp-json\/wp\/v2\/pages\/198"}],"wp:attachment":[{"href":"https:\/\/eia.udg.edu\/~blopez\/wp-json\/wp\/v2\/media?parent=814"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}