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201. Preventing Deterioration of Classification Accuracy in Predictive Coding Networks

202. Intention Modulation for Multi-step Tasks in Continuous Time Active Inference

203. AIXI, FEP-AI, and Integrated World Models: Towards a Unified Understanding of Intelligence and Consciousness

204. Active Inference and Psychology of Expectations: A Study of Formalizing ViolEx

205. A Novel Model for Novelty: Modeling the Emergence of Innovation from Cumulative Culture

206. Attachment Theory in an Active Inference Framework: How Does Our Inner Model Take Shape?

207. Capsule Networks as Generative Models

208. Active Inference Successor Representations

209. Active Blockference: cadCAD with Active Inference for Cognitive Systems Modeling

210. Learning Policies for Continuous Control via Transition Models

211. A Comparative Study on Machine Learning Algorithms for Assessing Energy Efficiency of Buildings

212. Buildings Occupancy Estimation: Preliminary Results Using Bluetooth Signals and Artificial Neural Networks

213. All You Need is Color: Image Based Spatial Gene Expression Prediction Using Neural Stain Learning

214. Data Envelopment Analysis for Energy Audits of Housing Properties

215. Drilling a Large Corpus of Document Images of Geological Information Extraction

216. Federated Learning of Oligonucleotide Drug Molecule Thermodynamics with Differentially Private ADMM-Based SVM

217. Mining Medication-Effect Relations from Twitter Data Using Pre-trained Transformer Language Model

218. Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions

219. A Scalable AI Approach for Clinical Trial Cohort Optimization

220. Explaining a Random Survival Forest by Extracting Prototype Rules

221. Diagnostic Surveillance of High-Grade Gliomas: Towards Automated Change Detection Using Radiology Report Classification

222. Building Appliances Energy Performance Assessment

223. Extracting Multilingual Relations with Joint Learning of Language Models

224. Embed Wisely: An Ensemble Approach to Predict ICD Coding

225. Hate Speech Detection in Clubhouse

226. L1-Regularized Neural Ranking for Risk Stratification and Its Application to Prediction of Time to Distant Metastasis in Luminal Node Negative Chemotherapy Naïve Breast Cancer Patients

227. Supervised Clustering for Subgroup Discovery: An Application to COVID-19 Symptomatology

228. IRLCov19: A Large COVID-19 Multilingual Twitter Dataset of Indian Regional Languages

229. Automated ESG Report Analysis by Joint Entity and Relation Extraction

230. Applying Machine Learning for Traffic Forecasting in Porto, Portugal

231. Forecasting Longevity for Financial Applications: A First Experiment with Deep Learning Methods

232. Ensuring the Inclusive Use of NLP in the Global Response to COVID-19

233. Improving Smart Waste Collection Using AutoML

234. A Framework for Building pro-bono Data for Good Projects

235. Efficient Analysis of Transactional Data Using Graph Convolutional Networks

236. Financial Forecasting with Word Embeddings Extracted from News: A Preliminary Analysis

237. A Reasoning Approach to Financial Data Exchange with Statistical Confidentiality

238. On Neural Forecasting and News Emotions: The Case of the Spanish Stock Market

239. SampleFix: Learning to Generate Functionally Diverse Fixes

240. Linguistic Analysis of Stack Overflow Data: Native English vs Non-native English Speakers

241. Applying Machine Learning to Risk Assessment in Software Projects

242. Adaptive Supervised Learning for Financial Markets Volatility Targeting Models

243. NBcoded: Network Attack Classifiers Based on Encoder and Naive Bayes Model for Resource Limited Devices

244. Metamorphic Malware Behavior Analysis Using Sequential Pattern Mining

245. IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis

246. Dealing with Imbalanced Data in Multi-class Network Intrusion Detection Systems Using XGBoost

247. Machine Learning for Intelligent Industrial Design

248. A Stacked Bidirectional LSTM Model for Classifying Source Codes Built in MPLs

249. Adversarial Robustness of Probabilistic Network Embedding for Link Prediction

250. Practical Black Box Model Inversion Attacks Against Neural Nets

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