Ivan Koychev
Citado por
Citado por
Gradual forgetting for adaptation to concept drift
I Koychev
Proceedings of ECAI 2000 Workshop on Current Issues in Spatio-Temporal …, 2000
Adaptation to drifting user’s interests
I Koychev, I Schwab
Proceedings of ECML2000 Workshop: Machine Learning in New Information Age, 39-46, 2000
In search of credible news
M Hardalov, I Koychev, P Nakov
Artificial Intelligence: Methodology, Systems, and Applications: 17th …, 2016
Learning to recommend from positive evidence
I Schwab, W Pohl, I Koychev
Proceedings of the 5th international conference on Intelligent user …, 2000
Fully automated fact checking using external sources
G Karadzhov, P Nakov, L Màrquez, A Barrón-Cedeño, I Koychev
arXiv preprint arXiv:1710.00341, 2017
A context-aware approach for detecting worth-checking claims in political debates
P Gencheva, P Nakov, L Màrquez, A Barrón-Cedeño, I Koychev
Proceedings of the International Conference Recent Advances in Natural …, 2017
Fact-checking meets fauxtography: Verifying claims about images
D Zlatkova, P Nakov, I Koychev
arXiv preprint arXiv:1908.11722, 2019
Learning user interests through positive examples using content analysis and collaborative filtering
I Schwab, A Kobsa, I Koychev
Internal Memo, GMD, St. Augustin, Germany, 2001
Feature selection and generalisation for retrieval of textual cases
N Wiratunga, I Koychev, S Massie
European Conference on Case-Based Reasoning, 806-820, 2004
Exposing paid opinion manipulation trolls
T Mihaylov, I Koychev, G Georgiev, P Nakov
arXiv preprint arXiv:2109.13726, 2021
The dark side of news community forums: Opinion manipulation trolls
T Mihaylov, T Mihaylova, P Nakov, L Màrquez, GD Georgiev, IK Koychev
Internet Research 28 (5), 1292-1312, 2018
We built a fake news & click-bait filter: what happened next will blow your mind!
G Karadzhov, P Gencheva, P Nakov, I Koychev
arXiv preprint arXiv:1803.03786, 2018
Learning about users from observation
I Schwab, A Kobsa, I Koychev
AAAI 2000 Spring Symposium: Adaptive User Interface, 241-247, 2000
Within-document retrieval: A user-centred evaluation of relevance profiling
DJ Harper, I Koychev, Y Sun, I Pirie
Information Retrieval 7, 265-290, 2004
Tracking drifting concepts by time window optimisation
I Koychev, R Lothian
International Conference on Innovative Techniques and Applications of …, 2005
Towards automated customer support
M Hardalov, I Koychev, P Nakov
Artificial Intelligence: Methodology, Systems, and Applications: 18th …, 2018
The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation: (Best of the Labs Track at CLEF-2017)
G Karadzhov, T Mihaylova, Y Kiprov, G Georgiev, I Koychev, P Nakov
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th …, 2017
Predicting the leading political ideology of YouTube channels using acoustic, textual, and metadata information
Y Dinkov, A Ali, I Koychev, P Nakov
arXiv preprint arXiv:1910.08948, 2019
Tracking changing user interests through prior-learning of context
I Koychev
International Conference on Adaptive Hypermedia and Adaptive Web-Based …, 2002
SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering
T Mihaylova, P Gencheva, M Boyanov, I Yovcheva, T Mihaylov, ...
arXiv preprint arXiv:2109.15120, 2021
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