Raul Vicente - RankMe

50 papers A* 1Journal 40Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Predicting Satisfaction of Counterfactual Explanations from Human Ratings of Explanatory Qualities. xAI (1) Marharyta Domnich, Rasmus Moorits Veski, Julius Välja, Kadi Tulver, Raul Vicente
2025	J	`jnl`	Predicting Satisfaction of Counterfactual Explanations from Human Ratings of Explanatory Qualities. CoRR Marharyta Domnich, Rasmus Moorits Veski, Julius Välja, Kadi Tulver, Raul Vicente
2025	A*	`conf`	Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments. AAAI Marharyta Domnich, Julius Välja, Rasmus Moorits Veski, Giacomo Magnifico, Kadi Tulver, Eduard Barbu, Raul Vicente
2024	—	`conf`	COIN: Counterfactual Inpainting for Weakly Supervised Semantic Segmentation for Medical Images. xAI (3) Dmytro Shvetsov, Joonas Ariva, Marharyta Domnich, Raul Vicente, Dmytro Fishman
2024	J	`jnl`	COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images. CoRR Dmytro Shvetsov, Joonas Ariva, Marharyta Domnich, Raul Vicente, Dmytro Fishman
2024	—	`conf`	Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence. xAI (3) Marharyta Domnich, Raul Vicente
2024	J	`jnl`	Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence. CoRR Marharyta Domnich, Raul Vicente
2024	—	`conf`	Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis. xAI (Late-breaking Work, Demos, Doctoral Consortium) Eduard Barbu, Marharyta Domnich, Raul Vicente, Nikos Sakkas
2024	J	`jnl`	Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis. CoRR Eduard Barbu, Marharyta Domnich, Raul Vicente, Nikos Sakkas, André Morim
2024	J	`jnl`	Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments. CoRR Marharyta Domnich, Julius Välja, Rasmus Moorits Veski, Giacomo Magnifico, Kadi Tulver, Eduard Barbu, Raul Vicente
2023	J	`jnl`	Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning. CoRR Aqeel Labash, Florian Fletzer, Daniel Majoral, Raul Vicente
2023	J	`jnl`	Mind the gap: challenges of deep learning approaches to Theory of Mind. Artif. Intell. Rev. Jaan Aru, Aqeel Labash, Oriol Corcoll, Raul Vicente
2022	J	`jnl`	Did I do that? Blame as a means to identify controlled effects in reinforcement learning. Trans. Mach. Learn. Res. Oriol Corcoll, Youssef Sherif Mansour Mohamed, Raul Vicente
2022	—	`conf`	Disentangling Controlled Effects for Hierarchical Reinforcement Learning. CLeaR Oriol Corcoll, Raul Vicente
2022	J	`jnl`	Mind the gap: Challenges of deep learning approaches to Theory of Mind. CoRR Jaan Aru, Aqeel Labash, Oriol Corcoll, Raul Vicente
2022	J	`jnl`	Quantifying Reinforcement-Learning Agent's Autonomy, Reliance on Memory and Internalisation of the Environment. Entropy Anti Ingel, Abdullah Makkeh, Oriol Corcoll, Raul Vicente
2021	J	`jnl`	Did I do that? Blame as a means to identify controlled effects in reinforcement learning. CoRR Oriol Corcoll, Raul Vicente
2021	J	`jnl`	Modelling the Impact of Robotics on Infectious Spread Among Healthcare Workers. Frontiers Robotics AI Raul Vicente, Youssef Mohamed, Víctor M. Eguíluz, Emal Zemmar, Patrick Bayer, Joseph S. Neimat, Juha Hernesniemi, Bradley J. Nelson, Ajmal Zemmar
2020	J	`jnl`	A model for time interval learning in the Purkinje cell. PLoS Comput. Biol. Daniel Majoral, Ajmal Zemmar, Raul Vicente
2020	J	`jnl`	Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops. CoRR Florian Stelzer, André Röhm, Raul Vicente, Ingo Fischer, Serhiy Yanchuk
2020	J	`jnl`	Disentangling causal effects for hierarchical reinforcement learning. CoRR Oriol Corcoll, Raul Vicente
2020	J	`jnl`	Partial Information Decomposition of Boolean Functions: a Fourier Analysis perspective. CoRR Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
2020	J	`jnl`	Perspective Taking in Deep Reinforcement Learning Agents. Frontiers Comput. Neurosci. Aqeel Labash, Jaan Aru, Tambet Matiisen, Ardi Tampuu, Raul Vicente
2019	J	`jnl`	Direct information transfer rate optimisation for SSVEP-based BCI. CoRR Anti Ingel, Ilya Kuzovkin, Raul Vicente
2019	J	`jnl`	Efficient neural decoding of self-location with a deep recurrent network. PLoS Comput. Biol. Ardi Tampuu, Tambet Matiisen, H. Freyja Ólafsdóttir, Caswell Barry, Raul Vicente
2019	J	`jnl`	IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. J. Open Source Softw. Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral
2019	J	`jnl`	MAXENT3D_PID: An Estimator for the Maximum-Entropy Trivariate Partial Information Decomposition. Entropy Abdullah Makkeh, Daniel Chicharro, Dirk Oliver Theis, Raul Vicente
2019	J	`jnl`	Perspective Taking in Deep Reinforcement Learning Agents. CoRR Aqeel Labash, Jaan Aru, Tambet Matiisen, Ardi Tampuu, Raul Vicente
2019	J	`jnl`	The many faces of deep learning. CoRR Raul Vicente
2018	J	`jnl`	APES: a Python toolbox for simulating reinforcement learning environments. CoRR Aqeel Labash, Ardi Tampuu, Tambet Matiisen, Jaan Aru, Raul Vicente
2018	J	`jnl`	BROJA-2PID: A Robust Estimator for Bivariate Partial Information Decomposition. Entropy Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
2018	J	`jnl`	Do deep reinforcement learning agents model intentions? CoRR Tambet Matiisen, Aqeel Labash, Daniel Majoral, Jaan Aru, Raul Vicente
2018	J	`jnl`	IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. CoRR Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral
2018	J	`jnl`	Machine Learning for detection of viral sequences in human metagenomic datasets. BMC Bioinform. Zurab Bzhalava, Ardi Tampuu, Piotr Bala, Raul Vicente, Joakim Dillner
2018	J	`jnl`	What deep learning can tell us about higher cognitive functions like mindreading? CoRR Jaan Aru, Raul Vicente
2017	J	`jnl`	Analyzing Information Distribution in Complex Systems. Entropy Sten Sootla, Dirk Oliver Theis, Raul Vicente
2017	J	`jnl`	Bivariate Partial Information Decomposition: The Optimization Perspective. Entropy Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
2015	J	`jnl`	Assessing Coupling Dynamics from an Ensemble of Time Series. Entropy Germán Gómez-Herrero, Wei Wu, Kalle Rutanen, Miguel C. Soriano, Gordon Pipa, Raul Vicente
2015	J	`jnl`	Multiagent Cooperation and Competition with Deep Reinforcement Learning. CoRR Ardi Tampuu, Tambet Matiisen, Dorian Kodelja, Ilya Kuzovkin, Kristjan Korjus, Juhan Aru, Jaan Aru, Raul Vicente
2014	J	`jnl`	Efficient transfer entropy analysis of non-stationary neural time series. CoRR Patricia Wollstadt, Mario Martínez-Zarzuela, Raul Vicente, Francisco Javier Díaz Pernas, Michael Wibral
2014	J	`jnl`	Role of frequency mismatch in neuronal communication through coherence. J. Comput. Neurosci. Belén Sancristóbal, Raul Vicente, Jordi García-Ojalvo
2013	J	`jnl`	Emergent bimodal firing patterns implement different encoding strategies during gamma-band oscillations. Frontiers Comput. Neurosci. Belén Sancristóbal, Raul Vicente, José M. Sancho, Jordi García-Ojalvo
2012	—	`conf`	Revisiting Wiener's principle of causality - interaction-delay reconstruction using transfer entropy and multivariate analysis on delay-weighted graphs. EMBC Michael Wibral, Patricia Wollstadt, Ulrich Meyer, Nicolae Pampu, Viola Priesemann, Raul Vicente
2011	J	`jnl`	A Linear Model of Phase-Dependent Power Correlations in Neuronal Oscillations. Frontiers Comput. Neurosci. David Eriksson, Raul Vicente, Kerstin Erika Schmidt
2011	J	`jnl`	Spike Train Auto-Structure Impacts Post-Synaptic Firing and Timing-Based Plasticity. Frontiers Comput. Neurosci. Bertram Scheller, Marta Castellano, Raul Vicente, Gordon Pipa
2011	J	`jnl`	Transfer entropy - a model-free measure of effective connectivity for the neurosciences. J. Comput. Neurosci. Raul Vicente, Michael Wibral, Michael Lindner, Gordon Pipa
2010	J	`jnl`	Assessing coupling dynamics from an ensemble of time series CoRR Germán Gómez-Herrero, Wei Wu, Kalle Rutanen, Miguel C. Soriano, Gordon Pipa, Raul Vicente
2008	—	`conf`	Auto-structure of Presynaptic Activity Defines Postsynaptic Firing Statistics and Can Modulate STDP-Based Structure Formation and Learning. ICANN (2) Gordon Pipa, Raul Vicente, Alexander Tikhonov
2008	—	`conf`	Contour Integration and Synchronization in Neuronal Networks of the Visual Cortex. ICANN (2) Ekkehard Ullner, Raul Vicente, Gordon Pipa, Jordi García-Ojalvo
2007	—	`conf`	Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying. ICANN (1) Raul Vicente, Gordon Pipa, Ingo Fischer, Claudio R. Mirasso