Cèsar Ferri - RankMe

46 papers A* 3A 3B 2C 1Journal 20Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AI for Memory Preservation: Automated Restoration of Photographs Damaged by Floods. AAAI Jose Daniel Galvan Suazo, Hugo Albert Bonet, Carlos Monserrat Aranda, Cèsar Ferri
2026	J	`jnl`	Predictable artificial intelligence. Artif. Intell. Lexin Zhou, Pablo A. M. Casares, Fernando Martínez-Plumed, John Burden, Ryan Burnell, Lucy Cheke, Cèsar Ferri, Alexandru Marcoci, Behzad Mehrbakhsh, Yael Moros-Daval, Seán Sáirséal Ó hÉigeartaigh, Danaja Rutar, Wout Schellaert, Konstantinos Voudouris, José Hernández-Orallo
2026	J	`jnl`	When Redundancy Matters: Machine Teaching of Representations. Mach. Learn. Cèsar Ferri, Darío Garigliotti, José Hernández-Orallo, Brigt Arve Toppe Håvardstun, Jan Arne Telle
2025	C	`conf`	ClustSize: An Algorithmic Framework for Size-Constrained Clustering. DATA Diego Vallejo-Huanga, Cèsar Ferri, Fernando Martínez-Plumed
2025	J	`jnl`	Cracking black-box models: Revealing hidden machine learning techniques behind their predictions. Intell. Data Anal. Raül Fabra-Boluda, Cèsar Ferri, José Hernández-Orallo, M. José Ramrez-Quintana, Fernando Martínez-Plumed
2025	J	`jnl`	Evaluating Simplification Algorithms for Interpretability of Time Series Classification. CoRR Félix Martí Pérez, Brigt Arve Toppe Håvardstun, Cèsar Ferri, Carlos Monserrat, Jan Arne Telle
2025	—	`conf`	LLM GameLab: An Interactive Platform for Testing Large Language Models in Board Games. ECML/PKDD (10) Paulina Morillo, Alex Terreros, Cèsar Ferri, José Hernández-Orallo
2025	A*	`conf`	MicroFiberDetect: An Application for the Detection of Microfibres in Wastewater Sludge Based on CNNs. AAAI Félix Martí Pérez, Ana Domínguez-Rodríguez, Cèsar Ferri, Carlos Monserrat
2025	—	`conf`	Obfuscation of Sensitive Text in Audiovisual Content Using AI. ECML/PKDD (10) Kexin Jiang-Chen, Cèsar Ferri
2025	B	`conf`	Refining Community Detection in Social Networks: Agglomerative and Divisive Methods with Size Constraints. MDAI Diego Vallejo-Huanga, Erlend Eindride Fasmer, Cèsar Ferri, Fernando Martínez-Plumed
2025	A	`conf`	Relative Drawing Identification Complexity Is Invariant to Modality in Vision-Language Models. ECAI Diogo Freitas, Brigt Håvardstun, Darío Garigliotti, Jan Arne Telle, Cèsar Ferri, José Hernández-Orallo
2025	J	`jnl`	Relative Drawing Identification Complexity is Invariant to Modality in Vision-Language Models. CoRR Diogo Freitas, Brigt Arve Toppe Håvardstun, Cèsar Ferri, Darío Garigliotti, Jan Arne Telle, José Hernández-Orallo
2024	J	`jnl`	A general supply-inspect cost framework to regulate the reliability-usability trade-offs for few-shot inference. Complex Intell. Syst. Fernando Martínez-Plumed, Gonzalo Jaimovitch-López, Cèsar Ferri, María José Ramírez-Quintana, José Hernández-Orallo
2024	—	`conf`	An Interactive Tool for Interpretability of Time Series Classification. ECML/PKDD (8) Brigt Arve Toppe Håvardstun, Cèsar Ferri, Jan Arne Telle
2024	A	`conf`	EquinorQA: Large Language Models for Question Answering Over Proprietary Data. ECAI Darío Garigliotti, Bjarte Johansen, Jakob Vigerust Kallestad, Seong-Eun Cho, Cèsar Ferri
2024	—	`conf`	Evaluating Performance and Trustworthiness of RAG Systems for Generating Administrative Text. IDEAL (1) Hugo Sánchez-Navalón, Carlos Monserrat, Darío Garigliotti, Cèsar Ferri
2024	J	`jnl`	Larger and more instructable language models become less reliable. Nat. Lexin Zhou, Wout Schellaert, Fernando Martínez-Plumed, Yael Moros-Daval, Cèsar Ferri, José Hernández-Orallo
2024	—	`conf`	Optimal Robust Simplifications for Explaining Time Series Classifications. TempXAI@PKDD/ECML Jan Arne Telle, Cèsar Ferri, Brigt Arve Toppe Håvardstun
2024	J	`jnl`	Unveiling the robustness of machine learning families. Mach. Learn. Sci. Technol. Raül Fabra-Boluda, Cèsar Ferri, María José Ramírez-Quintana, Fernando Martínez-Plumed
2024	J	`jnl`	When Redundancy Matters: Machine Teaching of Representations. CoRR Cèsar Ferri, Darío Garigliotti, Brigt Arve Toppe Håvardstun, José Hernández-Orallo, Jan Arne Telle
2024	—	`conf`	XAI for Time Series Classification: Evaluating the Benefits of Model Inspection for End-Users. xAI (3) Brigt Arve Toppe Håvardstun, Cèsar Ferri, Kristian Flikka, Jan Arne Telle
2023	J	`jnl`	Can language models automate data wrangling? Mach. Learn. Gonzalo Jaimovitch-López, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana
2023	J	`jnl`	Predictable Artificial Intelligence. CoRR Lexin Zhou, Pablo Antonio Moreno Casares, Fernando Martínez-Plumed, John Burden, Ryan Burnell, Lucy Cheke, Cèsar Ferri, Alexandru Marcoci, Behzad Mehrbakhsh, Yael Moros-Daval, Seán Ó hÉigeartaigh, Danaja Rutar, Wout Schellaert, Konstantinos Voudouris, José Hernández-Orallo
2023	—	`conf`	XAI with Machine Teaching When Humans Are (Not) Informed About the Irrelevant Features. ECML/PKDD (3) Brigt Arve Toppe Håvardstun, Cèsar Ferri, José Hernández-Orallo, Pekka Parviainen, Jan Arne Telle
2022	A*	`conf`	Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model. IJCAI Cèsar Ferri, José Hernández-Orallo, Jan Arne Telle
2022	—	`conf`	Reject Before You Run: Small Assessors Anticipate Big Language Models. EBeM@IJCAI Lexin Zhou, Fernando Martínez-Plumed, José Hernández-Orallo, Cèsar Ferri, Wout Schellaert
2022	—	`conf`	Robustness Testing of Machine Learning Families using Instance-Level IRT-Difficulty. EBeM@IJCAI Raül Fabra-Boluda, Cèsar Ferri, Fernando Martínez-Plumed, María José Ramírez-Quintana
2022	—	`ch.`	Teaching and Explanation: Aligning Priors between Machines and Humans. Human-Like Machine Intelligence José Hernández-Orallo, Cèsar Ferri
2021	J	`jnl`	AUTOMAT[R]IX: learning simple matrix pipelines. Mach. Learn. Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo
2021	J	`jnl`	CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories. IEEE Trans. Knowl. Data Eng. Fernando Martínez-Plumed, Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Meelis Kull, Nicolas Lachiche, María José Ramírez-Quintana, Peter A. Flach
2021	J	`jnl`	Missing the missing values: The ugly duckling of fairness in machine learning. Int. J. Intell. Syst. Fernando Martínez-Plumed, Cèsar Ferri, David Nieves, José Hernández-Orallo
2021	B	`conf`	Muppets: Multipurpose Table Segmentation. IDA Gust Verbruggen, Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Luc De Raedt
2020	A	`conf`	Family and Prejudice: A Behavioural Taxonomy of Machine Learning Techniques. ECAI Raül Fabra-Boluda, Cèsar Ferri, Fernando Martínez-Plumed, José Hernández-Orallo, M. José Ramírez-Quintana
2020	J	`jnl`	Learning alternative ways of performing a task. Expert Syst. Appl. David Nieves, María José Ramírez-Quintana, Carlos Monserrat Aranda, Cèsar Ferri, José Hernández-Orallo
2019	—	`conf`	Automated Data Transformation with Inductive Programming and Dynamic Background Knowledge. ECML/PKDD (3) Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, Susumu Katayama
2019	—	`conf`	Automating Common Data Science Matrix Transformations. PKDD/ECML Workshops (1) Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo
2019	J	`jnl`	Fairness and Missing Values. CoRR Fernando Martínez-Plumed, Cèsar Ferri, David Nieves, José Hernández-Orallo
2019	J	`jnl`	Setting decision thresholds when operating conditions are uncertain. Data Min. Knowl. Discov. Cèsar Ferri, José Hernández-Orallo, Peter A. Flach
2019	J	`jnl`	The teaching size: computable teachers and learners for universal languages. Mach. Learn. Jan Arne Telle, José Hernández-Orallo, Cèsar Ferri
2018	—	`conf`	Adapting Hierarchical Multiclass Classification to Changes in the Target Concept. CAEPIA Daniel Silva-Palacios, Cèsar Ferri, María José Ramírez-Quintana
2018	J	`jnl`	General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation. CoRR Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, Susumu Katayama
2018	—	`conf`	Identifying the Machine Learning Family from Black-Box Models. CAEPIA Raül Fabra-Boluda, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana
2018	J	`jnl`	Probabilistic class hierarchies for multiclass classification. J. Comput. Sci. Daniel Silva-Palacios, Cèsar Ferri, María José Ramírez-Quintana
2018	—	`conf`	SALER: A Data Science Solution to Detect and Prevent Corruption in Public Administration. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML Fernando Martínez-Plumed, Juan Carlos Casamayor, Cèsar Ferri, Jon Ander Gómez, Eduardo Vendrell Vidal
2017	—	`conf`	Modelling Machine Learning Models. PT-AI Raül Fabra-Boluda, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, M. José Ramírez-Quintana
2011	—	`conf`	Applying distances between terms to both flat and hierarchical data. AAIP Jorge A. Bedoya-Puerta, José Hernández-Orallo, Cèsar Ferri, María José Ramírez-Quintana