Fredrik Johansson

Forskarassistent vid Data Science

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Källa: chalmers.se

Visar 15 publikationer

2020

A survey on graph kernels

Nils M. Kriege, Fredrik Johansson, Christopher Morris
Applied Network Science. Vol. 5 (1)
Reviewartikel
2017

Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery

Ashkan Panahi, Devdatt Dubhashi, Fredrik Johansson et al
Proceedings of Machine Learning Research. Vol. 6, p. 4247-4260
Paper i proceeding
2016

Learning representations for counterfactual inference

Fredrik Johansson, U. Shalit, D. Sontag
33rd International Conference on Machine Learning, ICML 2016, New York City, United States; 19 June 2016 through 24 June 2016, p. 4407-4418
Paper i proceeding
2016

Learning with Geometric Embeddings of Graphs

Fredrik Johansson
Doktorsavhandling
2015

Weighted theta functions and embeddings with applications to Max-Cut, clustering and summarization

Fredrik Johansson, A. Chattoraj, C. Bhattacharyya et al
29th Annual Conference on Neural Information Processing Systems, NIPS 2015, Montreal, Canada, 7-12 December. Vol. 2015-January, p. 1018-1026
Konferensbidrag (offentliggjort, men ej förlagsutgivet)
2015

Classifying large graphs with differential privacy

Fredrik Johansson, Otto Frost, Carl Thufvesson Retzner et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9321, p. 3-7
Paper i proceeding
2015

Generalized shortest path kernel on graphs

L. Hermansson, Fredrik Johansson, O. Watanabe
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), p. 78-85
Kapitel i bok
2015

Neural context embeddings for automatic discovery of word senses

Mikael Kågebäck, Fredrik Johansson, Richard Johansson et al
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing. Denver, United States, p. 25-32
Paper i proceeding
2015

Learning with similarity functions on graphs using matchings of geometric embeddings

Fredrik Johansson, Devdatt Dubhashi
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Vol. 2015-August, p. 467-476
Paper i proceeding
2015

Visions and open challenges for a knowledge-based culturomics

Nina Tahmasebi, Lars Borin, Gabriele Capannini et al
International Journal on Digital Libraries. Vol. 15 (2-4), p. 169-187
Artikel i vetenskaplig tidskrift
2014

Global graph kernels using geometric embeddings

Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi et al
Proceedings of the 31st International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014, p. 694-702
Paper i proceeding
2014

Global geometric graph kernels and applications

Fredrik Johansson
Licentiatavhandling
2013

DLOREAN: Dynamic Location-aware Reconstruction of multiway Networks

Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi
2013 13th IEEE International Conference on Data Mining Workshops, ICDMW 2013; Dallas, TX; United States; 7 December 2013 through 10 December 2013, p. 1012-1019
Paper i proceeding
2013

Entity disambiguation in anonymized graphs using graph kernels

Linus Hermansson, Tommi Kerola, Fredrik Johansson et al
22nd ACM International Conference on Information and Knowledge Management, CIKM 2013; San Francisco, CA; United States; 27 October 2013 through 1 November 2013, p. 1037-1046
Paper i proceeding
2012

Intent-aware temporal query modeling for keyword suggestion

Fredrik Johansson, Tobias Färdig, Vinay Jethava et al
International Conference on Information and Knowledge Management, Proceedings, p. 83-86
Paper i proceeding

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Visar 6 forskningsprojekt

2020–2021

AI och avsaknad av data i diagnos av Alzheimers sjukdom

Fredrik Johansson Data Science
Chalmers AI Research Centre

2020–2024

Maskininlärning för kausal inferens från observationsdata med tillämpningar inom sjukvård

Fredrik Johansson Data Science
Wallenberg AI, Autonomous Systems and Software Program

2020–2024

Förutsättningar för inlärning av överförbara koncept

Fredrik Johansson Data Science
Wallenberg AI, Autonomous Systems and Software Program

2020–2022

Fattigdomsfällor i Afrika

Fredrik Johansson Data Science
Formas

2019–

Deep Reinforcement Learning: Principles and Applications in Cognitive Science and Networks (

Devdatt Dubhashi Data Science
Fredrik Johansson Data Science
Chalmers AI-forskningscentrum (CHAIR)

2012–2016

Informationsdriven säker Business Intelligence (DataBIN)

David Sands Programvaruteknik
Devdatt Dubhashi Datavetenskap
Peter Damaschke Datavetenskap
Gerardo Schneider Programvaruteknik
Olof Mogren Datavetenskap
Raul Pardo Jimenez Programvaruteknik
Hamid Ebadi Tavallaei Programvaruteknik
Fredrik Johansson Datavetenskap
Andrei Sabelfeld Programvaruteknik
Stiftelsen för Strategisk forskning (SSF)

Det kan finnas fler projekt där Fredrik Johansson medverkar, men du måste vara inloggad som anställd på Chalmers för att kunna se dem.