Classification of senrorimotor activity in EEG signal. - Erman Acar; Nevzat Güneri Gençer (SIU, 2012)

Multi-Attribute Decision Making using Weighted Description Logics. - Erman Acar; Christian Meilicke (PRUV, 2014)

Computing Subjective Expected Utility using Probabilistic Description Logics. - Erman Acar (STAIRS, 2014)

Towards Decision Making via Expressive Probabilistic Ontologies. - Erman Acar; Camilo Thorne; Heiner Stuckenschmidt (ADT, 2015)

The role of reasoning for RDF validation. - Thomas Bosch; Erman Acar; Andreas Nolle; Kai Eckert 001 (SEMANTiCS, 2015)

uDecide: A Protégé Plugin for Multiattribute Decision Making. - Erman Acar; Manuel Fink; Christian Meilicke; Heiner Stuckenschmidt (K-CAP, 2015)

RDF Validation Requirements - Evaluation and Logical Underpinning. - Thomas Bosch; Andreas Nolle; Erman Acar; Kai Eckert 001 (CoRR, 2015)

Group Decision Making via Probabilistic Belief Merging. - Nico Potyka; Erman Acar; Matthias Thimm; Heiner Stuckenschmidt (IJCAI, 2016)

Group Reasoning in Social Environments. - Erman Acar; Gianluigi Greco; Marco Manna (AAMAS, 2017)

Local Adaptive Wiener Filtering for Class Averaging in Single Particle Reconstruction. - Ali Abdollahzadeh; Erman Acar; Sari Peltonen; Ulla Ruotsalainen (SCIA (2), 2017)

Multi-Attribute Decision Making with Weighted Description Logics. - Erman Acar; Manuel Fink; Christian Meilicke; Camilo Thorne; Heiner Stuckenschmidt (FLAP, 2017)

Preferential Default Reasoning on the Semantic Web. - Rafael Kiesel; Erman Acar; Stefan Schlobach (Description Logics, 2018)

Statistical Reconstruction Methods for 3D Imaging of Biological Samples with Electron Microscopy. - Erman Acar (2018)

Satisfiability in Strategy Logic Can Be Easier than Model Checking. - Erman Acar; Massimo Benerecetti; Fabio Mogavero (AAAI, 2019)

Making Decisions over Contextual Ontologies. - Erman Acar; Rafael Peñaloza; Livia Predoiu (Description Logics, 2019)

On the Impact of sameAs on Schema Matching. - Joe Raad; Erman Acar; Stefan Schlobach (K-CAP, 2019)

Semi-supervised Learning using Differentiable Reasoning. - Emile van Krieken; Erman Acar; Frank van Harmelen (FLAP, 2019)

MetaLink - Closure and Error Degree of 556M owl:sameAs statements. - Wouter Beek; Joe Raad; Erman Acar; Frank van Harmelen (Zenodo, 2019)

Distance-Based Equilibria in Normal-Form Games. - Erman Acar; Reshef Meir (AAAI, 2020)

MetaLink: A Travel Guide to the LOD Cloud. - Wouter Beek; Joe Raad; Erman Acar; Frank van Harmelen (ESWC, 2020)

Reasoning with Contextual Knowledge and Influence Diagrams. - Erman Acar; Rafael Peñaloza (KR, 2020)

On Sufficient and Necessary Conditions in Bounded CTL: A Forgetting Approach. - Renyan Feng; Erman Acar; Stefan Schlobach; Yisong Wang; Wanwei Liu (KR, 2020)

Analyzing Differentiable Fuzzy Implications. - Emile van Krieken; Erman Acar; Frank van Harmelen (KR, 2020)

On Sufficient and Necessary Conditions in Bounded CTL. - Renyan Feng; Erman Acar; Stefan Schlobach; Yisong Wang; Wanwei Liu (CoRR, 2020)

Hyperbolic Image Segmentation. - Mina Ghadimi Atigh; Julian Schoep; Erman Acar; Nanne van Noord; Pascal Mettes (CVPR, 2022)

Learning to Cooperate with Human Evaluative Feedback and Demonstrations. - Mehul Verma; Erman Acar (HHAI, 2022)

Analyzing Differentiable Fuzzy Logic Operators. - Emile van Krieken; Erman Acar; Frank van Harmelen (Artif. Intell., 2022)

An argumentative approach for handling inconsistency in prioritized Datalog± ontologies. - Loan Ho; Somjit Arch-int; Erman Acar; Stefan Schlobach; Ngamnij Arch-int (AI Commun., 2022)

Computing Sufficient and Necessary Conditions in CTL: A Forgetting Approach. - Renyan Feng; Erman Acar; Yisong Wang; Wanwei Liu; Stefan Schlobach; Weiping Ding 001 (Inf. Sci., 2022)

A Meta-Reinforcement Learning Algorithm for Causal Discovery. - Andreas W. M. Sauter; Erman Acar; Vincent François-Lavet (CLeaR, 2023)

A Meta-Learning Algorithm for Interrogative Agendas. - Erman Acar; Andrea De Domenico; Krishna Manoorkar; Mattia Panettiere (CoRR, 2023)

AI4GCC - Team: Below Sea Level: Score and Real World Relevance. - Phillip Wozny; Bram M. Renting; Robert Loftin; Claudia Wieners; Erman Acar (CoRR, 2023)

AI4GCC - Team: Below Sea Level: Critiques and Improvements. - Bram M. Renting; Phillip Wozny; Robert Loftin; Claudia Wieners; Erman Acar (CoRR, 2023)

Emergent Cooperation under Uncertain Incentive Alignment. - Nicole Orzan; Erman Acar; Davide Grossi; Roxana Radulescu (AAMAS, 2024)

CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning. - Andreas Sauter; Nicolò Botteghi; Erman Acar; Aske Plaat (AAMAS, 2024)

PFStorer: Personalized Face Restoration and Super-Resolution. - Tuomas Varanka; Tapani Toivonen; Soumya Tripathy; Guoying Zhao 001; Erman Acar (CVPR, 2024)

Learning in Multi-Objective Public Goods Games with Non-Linear Utilities. - Nicole Orzan; Erman Acar; Davide Grossi; Patrick Mannion; Roxana Radulescu (ECAI, 2024)

DAVIDE: Depth-Aware Video Deblurring. - German F. Torres; Jussi Kalliola; Soumya Tripathy; Erman Acar; Joni-Kristian Kämäräinen (ECCV Workshops (9), 2024)

CAGE: Causality-Aware Shapley Value for Global Explanations. - Nils Ole Breuer; Andreas Sauter; Majid Mohammadi; Erman Acar (xAI (3), 2024)

Explainable Fraud Detection with Deep Symbolic Classification. - Samantha Visbeek; Erman Acar; Floris den Hengst (xAI (3), 2024)

On the Potential of Network-Based Features for Fraud Detection. - Catayoun Azarm; Erman Acar; Mickey van Zeelt (CoRR, 2024)

CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research. - Andreas W. M. Sauter; Erman Acar; Aske Plaat (CoRR, 2024)

Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Framework. - Angela van Sprang; Erman Acar; Willem H. Zuidema (CoRR, 2024)

Differentiable Inductive Logic Programming for Fraud Detection. - Boris Wolfson; Erman Acar (CoRR, 2024)

Integrating Fuzzy Logic into Deep Symbolic Regression. - Wout Gerdes; Erman Acar (CoRR, 2024)

Think Smart, Act SMARL! Analyzing Probabilistic Logic Driven Safety in Multi-Agent Reinforcement Learning. - Satchit Chatterji; Erman Acar (CoRR, 2024)

Single Pixel Spectral Color Constancy. - Samu Koskinen; Erman Acar; Joni-Kristian Kämäräinen (Int. J. Comput. Vis., 2024)

ACTIVA: Amortized Causal Effect Estimation without Graphs via Transformer-based Variational Autoencoder. - Andreas Sauter; Saber Salehkaleybar; Aske Plaat; Erman Acar (CoRR, 2025)

EMERGENT: Efficient and Manipulation-resistant Matching using GFlowNets. - Mayesha Tasnim; Erman Acar; Sennay Ghebreab (CoRR, 2025)

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations. - Linh Nguyen; Marcel Boersma; Erman Acar (CoRR, 2025)

Learning in public goods games: the effects of uncertainty and communication on cooperation. - Nicole Orzan; Erman Acar; Davide Grossi; Roxana Radulescu (Neural Comput. Appl., 2025)