scispace - formally typeset
Search or ask a question
Institution

Helsinki Institute for Information Technology

FacilityEspoo, Finland
About: Helsinki Institute for Information Technology is a facility organization based out in Espoo, Finland. It is known for research contribution in the topics: Population & Bayesian network. The organization has 630 authors who have published 1962 publications receiving 63426 citations.


Papers
More filters
Proceedings Article
01 Aug 2013
TL;DR: Empirical evidence from extensive user studies indicates that constraints concerning the similarity of sounds or spellings of the original word and the substitute can increase the effectiveness of humor generation significantly.
Abstract: We propose a method for automated generation of adult humor by lexical replacement and present empirical evaluation results of the obtained humor. We propose three types of lexical constraints as building blocks of humorous word substitution: constraints concerning the similarity of sounds or spellings of the original word and the substitute, a constraint requiring the substitute to be a taboo word, and constraints concerning the position and context of the replacement. Empirical evidence from extensive user studies indicates that these constraints can increase the effectiveness of humor generation significantly.

52 citations

Journal ArticleDOI
TL;DR: This work focuses on network-based machine learning models and their use in the prediction of novel compound–target interactions both in target-based and phenotype-based drug discovery applications, and suggests the most potent interactions for further experimental or pre-clinical evaluation.
Abstract: Introduction: System-wide identification of both on- and off-targets of chemical probes provides improved understanding of their therapeutic potential and possible adverse effects, thereby accelerating and de-risking drug discovery process. Given the high costs of experimental profiling of the complete target space of drug-like compounds, computational models offer systematic means for guiding these mapping efforts. These models suggest the most potent interactions for further experimental or pre-clinical evaluation both in cell line models and in patient-derived material.Areas covered: The authors focus here on network-based machine learning models and their use in the prediction of novel compound–target interactions both in target-based and phenotype-based drug discovery applications. While currently being used mainly in complementing the experimentally mapped compound–target networks for drug repurposing applications, such as extending the target space of already approved drugs, these network pharmacol...

52 citations

Proceedings ArticleDOI
29 Apr 2007
TL;DR: The relationship of functionalities of the artifact and the development of resources are discussed by presenting how functionalities can be designed to support three ways to appropriate communication technologies: increasing technical mastery, re-channeling existing communication into the new medium and inventing new communicative acts between users.
Abstract: Technologies can be used - or appropriated - in different ways by different users, but how do the use patterns evolve, and how can design facilitate such evolution? This paper approaches these questions in light of a case study in which a group of 8 high school students used Comeks, a mobile comic strip creator that enables users to exchange rich, expressive multimedia messages. A qualitative analysis of the use processes shows how users turned the functionalities embodied in Comeks into particular resources for communication during the 9-week trial period. The paper discusses the relationship of functionalities of the artifact and the development of resources by presenting how functionalities can be designed to support three ways to appropriate communication technologies: increasing technical mastery, re-channeling existing communication into the new medium and inventing new communicative acts between users.

52 citations

Journal ArticleDOI
TL;DR: The Positive-Negative Partial Set Cover problem is introduced and its complexity, especially the hardness-of-approximation, is studied.

52 citations

Proceedings ArticleDOI
19 Sep 2005
TL;DR: This is the first HCI paper to examine mobile photos from a systemic perspective: how assignment of phases of mobile photo lifecycle to different platforms affects social discourse around shared photos.
Abstract: Camera phones have been viewed simplistically as digital cameras with poor picture quality while neglecting the utility of the two key functionalities of mobile phones: network connection and access to personal information. This is the first HCI paper to examine mobile photos from a systemic perspective: how assignment of phases of mobile photo lifecycle to different platforms affects social discourse around shared photos. We conducted a 6-week user trial of MobShare, a tripartite system with dedicated functions and task couplings for a mobile phone, a server, and a PC browser. We analyze how MobShare's couplings and distribution of functionalities affected the observed types of social discourse that formed around mobile photos: in-group post-event discourse, self-documents and reports, greetings and thanks. Several central design issues arising from the systemic view are discussed: heterogeneity of environments, integration and distribution of functionalities, couplings and decouplings of interaction tasks, notification mechanisms, and provision of necessary UI resources for different tasks.

52 citations


Authors

Showing all 632 results

NameH-indexPapersCitations
Dimitri P. Bertsekas9433285939
Olli Kallioniemi9035342021
Heikki Mannila7229526500
Jukka Corander6641117220
Jaakko Kangasjärvi6214617096
Aapo Hyvärinen6130144146
Samuel Kaski5852214180
Nadarajah Asokan5832711947
Aristides Gionis5829219300
Hannu Toivonen5619219316
Nicola Zamboni5312811397
Jorma Rissanen5215122720
Tero Aittokallio522718689
Juha Veijola5226119588
Juho Hamari5117616631
Network Information
Related Institutions (5)
Google
39.8K papers, 2.1M citations

93% related

Microsoft
86.9K papers, 4.1M citations

93% related

Carnegie Mellon University
104.3K papers, 5.9M citations

91% related

Facebook
10.9K papers, 570.1K citations

91% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20224
202185
202097
2019140
2018127