2026
- AI for Memory Preservation: Automated Restoration of Photographs Damaged by Floods
Proceedings of the AAAI Conference on Artificial Intelligence - CapFlex: Multimodal Soft Clustering with Flexible Size Constraints
Lecture notes in computer science - LLM Board Game Tournaments: A Dataset of Moves, Validity, and Reasoning
Scientific Data - Predictable artificial intelligence
Artificial Intelligence - Semi-supervised Soft Clustering with Flexible Cardinality
Lecture notes in computer science - Tracking microfibres along the sludge line of a full-scale wastewater treatment plant using conventional microscopy and AI-based image analysis
Results in Engineering - When Redundancy Matters: Machine Teaching of Representations
Machine Learning
2025
- ClustSize: An Algorithmic Framework for Size-Constrained Clustering
International Conference on Data Science, Technology and Applications (DATA) - Detection of microfibres in wastewater sludge with deep learning
Results in Engineering - Evaluating Simplification Algorithms for Interpretability of Time Series Classification
arXiv (Cornell University) · preprint - LLM GameLab: An Interactive Platform for Testing Large Language Models in Board Games
Lecture notes in computer science - MicroFiberDetect: An Application for the Detection of Microfibres in Wastewater Sludge Based on CNNs
Proceedings of the AAAI Conference on Artificial Intelligence - Obfuscation of Sensitive Text in Audiovisual Content Using AI
Lecture notes in computer science - Refining Community Detection in Social Networks: Agglomerative and Divisive Methods with Size Constraints
Lecture notes in computer science - Relative Drawing Identification Complexity Is Invariant to Modality in Vision-Language Models
Frontiers in artificial intelligence and applications
2024
- A general supply-inspect cost framework to regulate the reliability-usability trade-offs for few-shot inference
Complex & Intelligent Systems - An Interactive Tool for Interpretability of Time Series Classification
Lecture notes in computer science - Analysis and discovery of procrastination patterns in a language learning MOOC
Computers & Education - Automatic PDF Document Classification with Machine Learning
Lecture notes in computer science - Cracking black-box models: Revealing hidden machine learning techniques behind their predictions
Intelligent Data Analysis - EquinorQA: Large Language Models for Question Answering Over Proprietary Data
Frontiers in artificial intelligence and applications - Evaluating Performance and Trustworthiness of RAG Systems for Generating Administrative Text
Lecture notes in computer science - Larger and more instructable language models become less reliable
Nature - XAI for Time Series Classification: Evaluating the Benefits of Model Inspection for End-Users
Communications in computer and information science
2023
- A historical perspective of biomedical explainable AI research
Patterns - Explainable AI in Biomedical Research: A Systematic Review and Meta-Analysis
SSRN Electronic Journal · preprint - XAI with Machine Teaching When Humans Are (Not) Informed About the Irrelevant Features
Lecture notes in computer science
2022
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
arXiv (Cornell University) · preprint - Can language models automate data wrangling?
Machine Learning - Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model
International Joint Conference on Artificial Intelligence
2021
- AUTOMAT[R]IX: learning simple matrix pipelines
Machine Learning - Missing the missing values: The ugly duckling of fairness in machine learning
International Journal of Intelligent Systems - Muppets: Multipurpose Table Segmentation
Lecture notes in computer science - Teaching and Explanation: Aligning Priors between Machines and Humans
Oxford University Press eBooks - Think Big, Teach Small: Do Language Models Distil Occam’s Razor?
neural information processing systems
2020
- Automated Data Transformation with Inductive Programming and Dynamic Background Knowledge
Lecture notes in computer science - Automating Common Data Science Matrix Transformations
Communications in computer and information science - BK-ADAPT: Dynamic Background Knowledge for Automating Data Transformation
Lecture notes in computer science - Learning alternative ways of performing a task
Expert Systems with Applications
2019
- A dataset of attributes from papers of a machine learning conference
Data in Brief - CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories
IEEE Transactions on Knowledge and Data Engineering - Entrepreneurial Disappointment and its Link with Mental Illness: A Machine Learning Study
Academy of Management Proceedings - Fairness and Missing Values
arXiv (Cornell University) · preprint - SALER: A Data Science Solution to Detect and Prevent Corruption in Public Administration
Lecture notes in computer science - Setting decision thresholds when operating conditions are uncertain
Data Mining and Knowledge Discovery - The teaching size: computable teachers and learners for universal languages
Machine Learning
2018
- Adapting Hierarchical Multiclass Classification to Changes in the Target Concept
Lecture notes in computer science - Adapting hierarchical multiclass classification to changes in the target concept: abstract
Dialnet (Universidad de la Rioja) - Alejandro A. Botto (1882-1942)
El Servicio de Difusión de la Creación Intelectual (National University of La Plata) - General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation
arXiv (Cornell University) · preprint - Identifying the Machine Learning Family from Black-Box Models
Lecture notes in computer science - Identifying the machine learning family from black-box models: abstract
Dialnet (Universidad de la Rioja) - Modelling Machine Learning Models
Studies in applied philosophy, epistemology and rational ethics - Probabilistic class hierarchies for multiclass classification
Journal of Computational Science
2017
- A computational analysis of general intelligence tests for evaluating cognitive development
Cognitive Systems Research - ADoCS: Automatic Designer of Conference Schedules
- CASP-DM: Context Aware Standard Process for Data Mining
arXiv (Cornell University) · preprint - Improving Performance of Multiclass Classification by Inducing Class Hierarchies
Procedia Computer Science - Low-level Event Detection System for Minimally-Invasive Surgery Training
- Semi-Supervised Clustering Algorithms for Grouping Scientific Articles
Procedia Computer Science - Zipf's and Benford's laws in Twitter hashtags
2016
- airVLC: An Application for Visualizing Wind-Sensitive Interpolation of Urban Air Pollution Forecasts
IEEE ... International Conference on Data Mining workshops - Context-Aware Knowledge Discovery: Opportunities, Techniques and Applications
HAL (Le Centre pour la Communication Scientifique Directe) - Cycling network projects: a decision-making aid approach
RiuNet (Universitat Politècnica de València) - Identifying the Sport Activity of GPS Tracks
Procedia Computer Science - Wind-sensitive Interpolation of Urban Air Pollution Forecasts
Procedia Computer Science
2015
- Airvlc: an application for real-time forecasting urban air pollution
- Binarised regression tasks: methods and evaluation metrics
Data Mining and Knowledge Discovery - Forgetting and consolidation for incremental and cumulative knowledge acquisition systems
arXiv (Cornell University) · preprint - Knowledge acquisition with forgetting: an incremental and developmental setting
Adaptive Behavior - Report of the First International Workshop on Learning over Multiple Contexts (LMCE 2014)
ACM SIGKDD Explorations Newsletter
2014
- A Knowledge Growth and Consolidation Framework for Lifelong Machine Learning Systems
International Conference on Machine Learning and Applications - Strategies in e-business : positioning and social networking in online markets
2013
- Aggregative quantification for regression
Data Mining and Knowledge Discovery - Learning with Configurable Operators and RL-Based Heuristics
Lecture notes in computer science - On the definition of a general learning system with user-defined operators
arXiv (Cornell University) · preprint - ROC curves in cost space
Machine Learning - Strategies in E-Business
Springer eBooks
2012
- A unified view of performance metrics: translating threshold choice into expected classification loss
Explore Bristol Research - BRIDGING THE GAP BETWEEN DISTANCE AND GENERALIZATION
Computational Intelligence - On the effect of calibration in classifier combination
Applied Intelligence
2011
- An instantiation for sequences of hierarchical distance-based conceptual clustering
- Applying distances between terms to both flat and hierarchical data
- Technical Note: Towards ROC Curves in Cost Space
arXiv (Cornell University) · preprint - Threshold Choice Methods: the Missing Link
arXiv (Cornell University) · preprint
2010
- Agrupamiento conceptual jerárquico basado en distancias
El Servicio de Difusión de la Creación Intelectual (National University of La Plata) - An Integrated Distance for Atoms
Lecture notes in computer science - Calibration of Machine Learning Models
IGI Global eBooks - Data mining strategies for CRM negotiation prescription problems
- Generalisation Operators for Lists Embedded in a Metric Space
Lecture notes in computer science - Newton Trees
Lecture notes in computer science - Quantification via Probability Estimators
Proceedings - Un entorno de generalización basado en distancias
El Servicio de Difusión de la Creación Intelectual (National University of La Plata) - Using negotiable features for prescription problems
Computing
2009
- An Instantiation of Hierarchical Distance-Based Conceptual Clustering for Propositional Learning
Lecture notes in computer science - Negotiation with Price-dependent Probability Models.
- Similarity-Binning Averaging: A Generalisation of Binning Calibration
Lecture notes in computer science
2008
- An experimental comparison of performance measures for classification
Pattern Recognition Letters - Distance-Based Generalisation Operators for Graphs ⋆
- Hierarchical Distance-Based Conceptual Clustering
Lecture notes in computer science
2007
- An Improved Model Selection Heuristic for AUC
Lecture notes in computer science - Joint Cutoff Probabilistic Estimation Using Simulation: A Mailing Campaign Application
Springer eBooks - Minimal Distance-Based Generalisation Operators for First-Order Objects
Lecture notes in computer science - MTPCASE: una herramienta para la mejora de la enseñanza de la ingeniería del software
Dialnet (Universidad de la Rioja) - Re-designing Cost-Sensitive Decision Tree Learning
- Simple Mimetic Classifiers
Springer eBooks
2006
- Aprendizaje Automatico de Programas Logico-Funcionales
INTELIGENCIA ARTIFICIAL - Estimating the Class Probability Threshold without Training Data
- Similarity Functions for Structured Data. An Application to Decision Trees
INTELIGENCIA ARTIFICIAL - Web Categorisation Using Distance-Based Decision Trees
Electronic Notes in Theoretical Computer Science
2005
- Distance based generalisation
- Modifying ROC Curves to Incorporate Predicted Probabilities
2004
- Bagging Decision Multi-trees
Lecture notes in computer science - Delegating classifiers
- Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
- Multi-paradigm learning of declarative models: Thesis
AI Communications - The 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004)
ACM SIGKDD Explorations Newsletter
2003
- Beam Search Extraction and Forgetting Strategies on Shared Ensembles
Lecture notes in computer science - Chapter 7 DECISION SUPPORT FOR DATA MINING An introduction to ROC analysis and its applications
- Cost-Sensitive Diagnosis of Declarative Programs
Electronic Notes in Theoretical Computer Science - Data Mining and Decision Support: Aspects of Integration and Collaboration
Kluwer Academic Publishers eBooks - Decision Support for Data Mining
Springer eBooks - Decision Trees for Ranking: Effect of New Smoothing Methods, New Splitting Criteria and Simple Pruning Methods
- Improving the AUC of Probabilistic Estimation Trees
Lecture notes in computer science - Volume under the ROC Surface for Multi-class Problems
Lecture notes in computer science
2002
- From Ensemble Methods to Comprehensible Models
- Induction of Decision Multi-trees Using Levin Search
Lecture notes in computer science - Learning Decision Trees Using the Area Under the ROC Curve
- Multi-dimensional ROC Analysis with Decision Trees *
- Shared Ensemble Learning Using Multi-trees
Lecture notes in computer science - SMILES: A Multi-purpose Learning System
Lecture notes in computer science
2001
- AND/OR trees for the learning of functional logic programs.
APPIA-GULP-PRODE - Incremental Learning of Functional Logic Programs
Lecture notes in computer science
2000
- Improving Functional Logic Programs by Difference-Lists
Lecture notes in computer science - List-Processing Optimizations in a Multi-Paradigm Declarative Language.
Workshop on Functional and Constraint Logic Programming - Universal Learning of Classes from Sparse and Non-uniform Evidence.
1999
- Un Sistema de Transformación para Programas Multiparadigma
INTELIGENCIA ARTIFICIAL